From 31b92128cfcdf5cc7630b04ce046345caa33877a Mon Sep 17 00:00:00 2001 From: gongdaguo Date: Tue, 15 Sep 2020 16:33:11 +0800 Subject: [PATCH] add object detection --- .../image_classification/app/build.gradle | 6 - .../image_classification/app/download.gradle | 7 +- .../app/src/main/cpp/MSNetWork.cpp | 107 +-- .../app/src/main/cpp/MSNetWork.h | 7 +- .../app/src/main/cpp/MindSporeNetnative.cpp | 112 ++- .../app/src/main/cpp/MindSporeNetnative.h | 3 + .../widget/CameraFragment.java | 1 - .../official/lite/object_detection/.gitignore | 83 ++ .../lite/object_detection/README.en.md | 549 +++++++++++ .../official/lite/object_detection/README.md | 490 ++++++++++ .../lite/object_detection/app/.gitignore | 3 + .../lite/object_detection/app/CMakeLists.txt | 82 ++ .../lite/object_detection/app/build.gradle | 61 ++ .../lite/object_detection/app/download.gradle | 82 ++ .../object_detection/app/proguard-rules.pro | 21 + .../hiobject/ExampleInstrumentedTest.java | 26 + .../app/src/main/AndroidManifest.xml | 46 + .../app/src/main/cpp/MSNetWork.cpp | 55 ++ .../app/src/main/cpp/MSNetWork.h | 59 ++ .../app/src/main/cpp/MindSporeNetnative.cpp | 269 ++++++ .../app/src/main/cpp/ssd_util/ssd_util.cpp | 293 ++++++ .../app/src/main/cpp/ssd_util/ssd_util.h | 202 ++++ .../mindspore/hiobject/SplashActivity.java | 95 ++ .../hiobject/help/ImageDegreeHelper.java | 185 ++++ .../hiobject/help/RecognitionObjectBean.java | 159 ++++ .../hiobject/help/TrackingMobile.java | 118 +++ .../objectdetect/AutoFitTextureView.java | 78 ++ .../hiobject/objectdetect/CameraActivity.java | 48 + .../hiobject/objectdetect/CameraFragment.java | 899 ++++++++++++++++++ .../objectdetect/DealDataActivity.java | 263 +++++ .../hiobject/objectdetect/ObjectRectView.java | 114 +++ .../hiobject/objectdetect/PhotoActivity.java | 116 +++ .../drawable-v24/ic_launcher_foreground.xml | 30 + .../app/src/main/res/drawable/dog_cat.jpg | Bin 0 -> 86807 bytes .../app/src/main/res/drawable/error.jpg | Bin 0 -> 224683 bytes .../res/drawable/ic_launcher_background.xml | 170 ++++ .../app/src/main/res/drawable/mindspore.png | Bin 0 -> 35998 bytes .../src/main/res/layout/activity_camera.xml | 22 + .../src/main/res/layout/activity_dealdata.xml | 6 + .../src/main/res/layout/activity_photo.xml | 13 + .../src/main/res/layout/activity_splash.xml | 52 + .../src/main/res/layout/fragment_camera.xml | 18 + .../res/mipmap-anydpi-v26/ic_launcher.xml | 5 + .../mipmap-anydpi-v26/ic_launcher_round.xml | 5 + .../src/main/res/mipmap-hdpi/ic_launcher.png | Bin 0 -> 3593 bytes .../res/mipmap-hdpi/ic_launcher_round.png | Bin 0 -> 5339 bytes .../src/main/res/mipmap-mdpi/ic_launcher.png | Bin 0 -> 2636 bytes .../res/mipmap-mdpi/ic_launcher_round.png | Bin 0 -> 3388 bytes .../src/main/res/mipmap-xhdpi/ic_launcher.png | Bin 0 -> 4926 bytes .../res/mipmap-xhdpi/ic_launcher_round.png | Bin 0 -> 7472 bytes .../main/res/mipmap-xxhdpi/ic_launcher.png | Bin 0 -> 7909 bytes .../res/mipmap-xxhdpi/ic_launcher_round.png | Bin 0 -> 11873 bytes .../app/src/main/res/mipmap-xxhdpi/logo.png | Bin 0 -> 16217 bytes .../main/res/mipmap-xxxhdpi/ic_launcher.png | Bin 0 -> 10652 bytes .../res/mipmap-xxxhdpi/ic_launcher_round.png | Bin 0 -> 16570 bytes .../app/src/main/res/values/colors.xml | 7 + .../app/src/main/res/values/strings.xml | 11 + .../app/src/main/res/values/styles.xml | 10 + .../mindspore/hiobject/ExampleUnitTest.java | 17 + .../lite/object_detection/build.gradle | 24 + .../lite/object_detection/gradle.properties | 19 + .../gradle/wrapper/gradle-wrapper.jar | Bin 0 -> 54329 bytes .../gradle/wrapper/gradle-wrapper.properties | 6 + .../official/lite/object_detection/gradlew | 172 ++++ .../lite/object_detection/gradlew.bat | 84 ++ .../object_detection/images/app_result.jpg | Bin 0 -> 111233 bytes .../lite/object_detection/images/home.png | Bin 0 -> 40083 bytes .../lite/object_detection/images/install.jpg | Bin 0 -> 27417 bytes .../images/object_detection.png | Bin 0 -> 164013 bytes .../images/project_structure.png | Bin 0 -> 37421 bytes .../lite/object_detection/images/run_app.PNG | Bin 0 -> 5165 bytes .../images/sdk_management.png | Bin 0 -> 88566 bytes .../lite/object_detection/settings.gradle | 2 + 73 files changed, 5191 insertions(+), 121 deletions(-) create mode 100644 model_zoo/official/lite/object_detection/.gitignore create mode 100644 model_zoo/official/lite/object_detection/README.en.md create mode 100644 model_zoo/official/lite/object_detection/README.md create mode 100644 model_zoo/official/lite/object_detection/app/.gitignore create mode 100644 model_zoo/official/lite/object_detection/app/CMakeLists.txt create mode 100644 model_zoo/official/lite/object_detection/app/build.gradle create mode 100644 model_zoo/official/lite/object_detection/app/download.gradle create mode 100644 model_zoo/official/lite/object_detection/app/proguard-rules.pro create mode 100644 model_zoo/official/lite/object_detection/app/src/androidTest/java/com/mindspore/hiobject/ExampleInstrumentedTest.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/AndroidManifest.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.cpp create mode 100644 model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.h create mode 100644 model_zoo/official/lite/object_detection/app/src/main/cpp/MindSporeNetnative.cpp create mode 100644 model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.cpp create mode 100644 model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.h create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/SplashActivity.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/ImageDegreeHelper.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/RecognitionObjectBean.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/TrackingMobile.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/AutoFitTextureView.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraActivity.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraFragment.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/DealDataActivity.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/ObjectRectView.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/PhotoActivity.java create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/drawable-v24/ic_launcher_foreground.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/drawable/dog_cat.jpg create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/drawable/error.jpg create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/drawable/ic_launcher_background.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/drawable/mindspore.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_camera.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_dealdata.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_photo.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_splash.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/layout/fragment_camera.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-hdpi/ic_launcher.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-hdpi/ic_launcher_round.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-mdpi/ic_launcher.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-mdpi/ic_launcher_round.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xhdpi/ic_launcher.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xhdpi/ic_launcher_round.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xxhdpi/ic_launcher.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xxhdpi/ic_launcher_round.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xxhdpi/logo.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xxxhdpi/ic_launcher.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/mipmap-xxxhdpi/ic_launcher_round.png create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/values/colors.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/values/strings.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/main/res/values/styles.xml create mode 100644 model_zoo/official/lite/object_detection/app/src/test/java/com/mindspore/hiobject/ExampleUnitTest.java create mode 100644 model_zoo/official/lite/object_detection/build.gradle create mode 100644 model_zoo/official/lite/object_detection/gradle.properties create mode 100644 model_zoo/official/lite/object_detection/gradle/wrapper/gradle-wrapper.jar create mode 100644 model_zoo/official/lite/object_detection/gradle/wrapper/gradle-wrapper.properties create mode 100644 model_zoo/official/lite/object_detection/gradlew create mode 100644 model_zoo/official/lite/object_detection/gradlew.bat create mode 100644 model_zoo/official/lite/object_detection/images/app_result.jpg create mode 100644 model_zoo/official/lite/object_detection/images/home.png create mode 100644 model_zoo/official/lite/object_detection/images/install.jpg create mode 100644 model_zoo/official/lite/object_detection/images/object_detection.png create mode 100644 model_zoo/official/lite/object_detection/images/project_structure.png create mode 100644 model_zoo/official/lite/object_detection/images/run_app.PNG create mode 100644 model_zoo/official/lite/object_detection/images/sdk_management.png create mode 100644 model_zoo/official/lite/object_detection/settings.gradle diff --git a/model_zoo/official/lite/image_classification/app/build.gradle b/model_zoo/official/lite/image_classification/app/build.gradle index ed58f89cded..8b62db4e623 100644 --- a/model_zoo/official/lite/image_classification/app/build.gradle +++ b/model_zoo/official/lite/image_classification/app/build.gradle @@ -49,8 +49,6 @@ android { } } packagingOptions{ - pickFirst 'lib/arm64-v8a/libminddata-lite.so' - pickFirst 'lib/arm64-v8a/libmindspore-lite.so' pickFirst 'lib/arm64-v8a/libmlkit-label-MS.so' } @@ -61,10 +59,6 @@ android { // Before gradle build. // To download some necessary libraries. apply from:'download.gradle' -/*if (!file("libs/arm64-v8a/libmindspore-lite.so").exists() || - !file("libs/arm64-v8a/libopencv_java4.so").exists()){ - apply from:'download.gradle' -}*/ diff --git a/model_zoo/official/lite/image_classification/app/download.gradle b/model_zoo/official/lite/image_classification/app/download.gradle index 52ce5301817..b1795f8c548 100644 --- a/model_zoo/official/lite/image_classification/app/download.gradle +++ b/model_zoo/official/lite/image_classification/app/download.gradle @@ -14,6 +14,10 @@ def mindsporeLiteDownloadUrl = "https://download.mindspore.cn/model_zoo/official def cleantargetMindSporeInclude = "src/main/cpp" +task cleanCmakeCache(type: Delete) { + delete '.cxx/cmake/debug' + delete '.cxx/cmake/release' +} task downloadModelFile(type: DownloadUrlTask) { doFirst { @@ -45,7 +49,7 @@ task cleanUnusedmindsporeFiles(type: Delete, dependsOn: ['unzipMindSporeInclude' } } /* - * Using preBuild to download mindspore library, opencv library and model file. + * Using preBuild to download mindspore library and model file. * Run before gradle build. */ if (file("src/main/cpp/${mindsporeLite_Version}/lib/libmindspore-lite.so").exists()){ @@ -58,6 +62,7 @@ if (file("src/main/assets/model/mobilenetv2.ms").exists()){ downloadModelFile.enabled = false } +preBuild.dependsOn cleanCmakeCache preBuild.dependsOn downloadModelFile preBuild.dependsOn downloadMindSporeLibrary preBuild.dependsOn unzipMindSporeInclude diff --git a/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.cpp b/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.cpp index abce847eabb..ea1736e6f48 100644 --- a/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.cpp +++ b/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.cpp @@ -22,14 +22,14 @@ #define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__) -MSNetWork::MSNetWork(void) : session(nullptr), model(nullptr) {} +MSNetWork::MSNetWork(void) : session_(nullptr) {} MSNetWork::~MSNetWork(void) {} void MSNetWork::CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite::Context *ctx) { - session = mindspore::session::LiteSession::CreateSession(ctx); - if (session == nullptr) { + session_ = mindspore::session::LiteSession::CreateSession(ctx); + if (session_ == nullptr) { MS_PRINT("Create Session failed."); return; } @@ -41,7 +41,7 @@ MSNetWork::CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite: return; } - int ret = session->CompileGraph(model); + int ret = session_->CompileGraph(model); if (ret != mindspore::lite::RET_OK) { MS_PRINT("CompileGraph failed."); return; @@ -49,104 +49,7 @@ MSNetWork::CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite: } int MSNetWork::ReleaseNets(void) { - delete session; -// delete model; + delete session_; return 0; } -const char *MSNetWork::labels_name_map[MSNetWork::RET_CATEGORY_SUM] = { - {"Tortoise"}, {"Container"}, {"Magpie"}, {"Seaturtle"}, {"Football"}, {"Ambulance"}, {"Ladder"}, - {"Toothbrush"}, {"Syringe"}, {"Sink"}, {"Toy"}, {"Organ(MusicalInstrument) "}, {"Cassettedeck"}, - {"Apple"}, {"Humaneye"}, {"Cosmetics"}, {"Paddle"}, {"Snowman"}, {"Beer"}, {"Chopsticks"}, - {"Humanbeard"}, {"Bird"}, {"Parkingmeter"}, {"Trafficlight"}, {"Croissant"}, {"Cucumber"}, - {"Radish"}, {"Towel"}, {"Doll"}, {"Skull"}, {"Washingmachine"}, {"Glove"}, {"Tick"}, {"Belt"}, - {"Sunglasses"}, {"Banjo"}, {"Cart"}, {"Ball"}, {"Backpack"}, {"Bicycle"}, {"Homeappliance"}, - {"Centipede"}, {"Boat"}, {"Surfboard"}, {"Boot"}, {"Headphones"}, {"Hotdog"}, {"Shorts"}, - {"Fastfood"}, {"Bus"}, {"Boy "}, {"Screwdriver"}, {"Bicyclewheel"}, {"Barge"}, {"Laptop"}, - {"Miniskirt"}, {"Drill(Tool)"}, {"Dress"}, {"Bear"}, {"Waffle"}, {"Pancake"}, {"Brownbear"}, - {"Woodpecker"}, {"Bluejay"}, {"Pretzel"}, {"Bagel"}, {"Tower"}, {"Teapot"}, {"Person"}, - {"Bowandarrow"}, {"Swimwear"}, {"Beehive"}, {"Brassiere"}, {"Bee"}, {"Bat(Animal)"}, - {"Starfish"}, {"Popcorn"}, {"Burrito"}, {"Chainsaw"}, {"Balloon"}, {"Wrench"}, {"Tent"}, - {"Vehicleregistrationplate"}, {"Lantern"}, {"Toaster"}, {"Flashlight"}, {"Billboard"}, - {"Tiara"}, {"Limousine"}, {"Necklace"}, {"Carnivore"}, {"Scissors"}, {"Stairs"}, - {"Computerkeyboard"}, {"Printer"}, {"Trafficsign"}, {"Chair"}, {"Shirt"}, {"Poster"}, - {"Cheese"}, {"Sock"}, {"Firehydrant"}, {"Landvehicle"}, {"Earrings"}, {"Tie"}, {"Watercraft"}, - {"Cabinetry"}, {"Suitcase"}, {"Muffin"}, {"Bidet"}, {"Snack"}, {"Snowmobile"}, {"Clock"}, - {"Medicalequipment"}, {"Cattle"}, {"Cello"}, {"Jetski"}, {"Camel"}, {"Coat"}, {"Suit"}, - {"Desk"}, {"Cat"}, {"Bronzesculpture"}, {"Juice"}, {"Gondola"}, {"Beetle"}, {"Cannon"}, - {"Computermouse"}, {"Cookie"}, {"Officebuilding"}, {"Fountain"}, {"Coin"}, {"Calculator"}, - {"Cocktail"}, {"Computermonitor"}, {"Box"}, {"Stapler"}, {"Christmastree"}, {"Cowboyhat"}, - {"Hikingequipment"}, {"Studiocouch"}, {"Drum"}, {"Dessert"}, {"Winerack"}, {"Drink"}, - {"Zucchini"}, {"Ladle"}, {"Humanmouth"}, {"DairyProduct"}, {"Dice"}, {"Oven"}, {"Dinosaur"}, - {"Ratchet(Device)"}, {"Couch"}, {"Cricketball"}, {"Wintermelon"}, {"Spatula"}, {"Whiteboard"}, - {"Pencilsharpener"}, {"Door"}, {"Hat"}, {"Shower"}, {"Eraser"}, {"Fedora"}, {"Guacamole"}, - {"Dagger"}, {"Scarf"}, {"Dolphin"}, {"Sombrero"}, {"Tincan"}, {"Mug"}, {"Tap"}, {"Harborseal"}, - {"Stretcher"}, {"Canopener"}, {"Goggles"}, {"Humanbody"}, {"Rollerskates"}, {"Coffeecup"}, - {"Cuttingboard"}, {"Blender"}, {"Plumbingfixture"}, {"Stopsign"}, {"Officesupplies"}, - {"Volleyball(Ball)"}, {"Vase"}, {"Slowcooker"}, {"Wardrobe"}, {"Coffee"}, {"Whisk"}, - {"Papertowel"}, {"Personalcare"}, {"Food"}, {"Sunhat"}, {"Treehouse"}, {"Flyingdisc"}, - {"Skirt"}, {"Gasstove"}, {"Saltandpeppershakers"}, {"Mechanicalfan"}, {"Facepowder"}, {"Fax"}, - {"Fruit"}, {"Frenchfries"}, {"Nightstand"}, {"Barrel"}, {"Kite"}, {"Tart"}, {"Treadmill"}, - {"Fox"}, {"Flag"}, {"Frenchhorn"}, {"Windowblind"}, {"Humanfoot"}, {"Golfcart"}, {"Jacket"}, - {"Egg(Food)"}, {"Streetlight"}, {"Guitar"}, {"Pillow"}, {"Humanleg"}, {"Isopod"}, {"Grape"}, - {"Humanear"}, {"Powerplugsandsockets"}, {"Panda"}, {"Giraffe"}, {"Woman"}, {"Doorhandle"}, - {"Rhinoceros"}, {"Bathtub"}, {"Goldfish"}, {"Houseplant"}, {"Goat"}, {"Baseballbat"}, - {"Baseballglove"}, {"Mixingbowl"}, {"Marineinvertebrates"}, {"Kitchenutensil"}, {"Lightswitch"}, - {"House"}, {"Horse"}, {"Stationarybicycle"}, {"Hammer"}, {"Ceilingfan"}, {"Sofabed"}, - {"Adhesivetape "}, {"Harp"}, {"Sandal"}, {"Bicyclehelmet"}, {"Saucer"}, {"Harpsichord"}, - {"Humanhair"}, {"Heater"}, {"Harmonica"}, {"Hamster"}, {"Curtain"}, {"Bed"}, {"Kettle"}, - {"Fireplace"}, {"Scale"}, {"Drinkingstraw"}, {"Insect"}, {"Hairdryer"}, {"Kitchenware"}, - {"Indoorrower"}, {"Invertebrate"}, {"Foodprocessor"}, {"Bookcase"}, {"Refrigerator"}, - {"Wood-burningstove"}, {"Punchingbag"}, {"Commonfig"}, {"Cocktailshaker"}, {"Jaguar(Animal)"}, - {"Golfball"}, {"Fashionaccessory"}, {"Alarmclock"}, {"Filingcabinet"}, {"Artichoke"}, {"Table"}, - {"Tableware"}, {"Kangaroo"}, {"Koala"}, {"Knife"}, {"Bottle"}, {"Bottleopener"}, {"Lynx"}, - {"Lavender(Plant)"}, {"Lighthouse"}, {"Dumbbell"}, {"Humanhead"}, {"Bowl"}, {"Humidifier"}, - {"Porch"}, {"Lizard"}, {"Billiardtable"}, {"Mammal"}, {"Mouse"}, {"Motorcycle"}, - {"Musicalinstrument"}, {"Swimcap"}, {"Fryingpan"}, {"Snowplow"}, {"Bathroomcabinet"}, - {"Missile"}, {"Bust"}, {"Man"}, {"Waffleiron"}, {"Milk"}, {"Ringbinder"}, {"Plate"}, - {"Mobilephone"}, {"Bakedgoods"}, {"Mushroom"}, {"Crutch"}, {"Pitcher(Container)"}, {"Mirror"}, - {"Personalflotationdevice"}, {"Tabletennisracket"}, {"Pencilcase"}, {"Musicalkeyboard"}, - {"Scoreboard"}, {"Briefcase"}, {"Kitchenknife"}, {"Nail(Construction)"}, {"Tennisball"}, - {"Plasticbag"}, {"Oboe"}, {"Chestofdrawers"}, {"Ostrich"}, {"Piano"}, {"Girl"}, {"Plant"}, - {"Potato"}, {"Hairspray"}, {"Sportsequipment"}, {"Pasta"}, {"Penguin"}, {"Pumpkin"}, {"Pear"}, - {"Infantbed"}, {"Polarbear"}, {"Mixer"}, {"Cupboard"}, {"Jacuzzi"}, {"Pizza"}, {"Digitalclock"}, - {"Pig"}, {"Reptile"}, {"Rifle"}, {"Lipstick"}, {"Skateboard"}, {"Raven"}, {"Highheels"}, - {"Redpanda"}, {"Rose"}, {"Rabbit"}, {"Sculpture"}, {"Saxophone"}, {"Shotgun"}, {"Seafood"}, - {"Submarinesandwich"}, {"Snowboard"}, {"Sword"}, {"Pictureframe"}, {"Sushi"}, {"Loveseat"}, - {"Ski"}, {"Squirrel"}, {"Tripod"}, {"Stethoscope"}, {"Submarine"}, {"Scorpion"}, {"Segway"}, - {"Trainingbench"}, {"Snake"}, {"Coffeetable"}, {"Skyscraper"}, {"Sheep"}, {"Television"}, - {"Trombone"}, {"Tea"}, {"Tank"}, {"Taco"}, {"Telephone"}, {"Torch"}, {"Tiger"}, {"Strawberry"}, - {"Trumpet"}, {"Tree"}, {"Tomato"}, {"Train"}, {"Tool"}, {"Picnicbasket"}, {"Cookingspray"}, - {"Trousers"}, {"Bowlingequipment"}, {"Footballhelmet"}, {"Truck"}, {"Measuringcup"}, - {"Coffeemaker"}, {"Violin"}, {"Vehicle"}, {"Handbag"}, {"Papercutter"}, {"Wine"}, {"Weapon"}, - {"Wheel"}, {"Worm"}, {"Wok"}, {"Whale"}, {"Zebra"}, {"Autopart"}, {"Jug"}, {"Pizzacutter"}, - {"Cream"}, {"Monkey"}, {"Lion"}, {"Bread"}, {"Platter"}, {"Chicken"}, {"Eagle"}, {"Helicopter"}, - {"Owl"}, {"Duck"}, {"Turtle"}, {"Hippopotamus"}, {"Crocodile"}, {"Toilet"}, {"Toiletpaper"}, - {"Squid"}, {"Clothing"}, {"Footwear"}, {"Lemon"}, {"Spider"}, {"Deer"}, {"Frog"}, {"Banana"}, - {"Rocket"}, {"Wineglass"}, {"Countertop"}, {"Tabletcomputer"}, {"Wastecontainer"}, - {"Swimmingpool"}, {"Dog"}, {"Book"}, {"Elephant"}, {"Shark"}, {"Candle"}, {"Leopard"}, {"Axe"}, - {"Handdryer"}, {"Soapdispenser"}, {"Porcupine"}, {"Flower"}, {"Canary"}, {"Cheetah"}, - {"Palmtree"}, {"Hamburger"}, {"Maple"}, {"Building"}, {"Fish"}, {"Lobster"}, - {"GardenAsparagus"}, {"Furniture"}, {"Hedgehog"}, {"Airplane"}, {"Spoon"}, {"Otter"}, {"Bull"}, - {"Oyster"}, {"Horizontalbar"}, {"Conveniencestore"}, {"Bomb"}, {"Bench"}, {"Icecream"}, - {"Caterpillar"}, {"Butterfly"}, {"Parachute"}, {"Orange"}, {"Antelope"}, {"Beaker"}, - {"Mothsandbutterflies"}, {"Window"}, {"Closet"}, {"Castle"}, {"Jellyfish"}, {"Goose"}, {"Mule"}, - {"Swan"}, {"Peach"}, {"Coconut"}, {"Seatbelt"}, {"Raccoon"}, {"Chisel"}, {"Fork"}, {"Lamp"}, - {"Camera"}, {"Squash(Plant)"}, {"Racket"}, {"Humanface"}, {"Humanarm"}, {"Vegetable"}, - {"Diaper"}, {"Unicycle"}, {"Falcon"}, {"Chime"}, {"Snail"}, {"Shellfish"}, {"Cabbage"}, - {"Carrot"}, {"Mango"}, {"Jeans"}, {"Flowerpot"}, {"Pineapple"}, {"Drawer"}, {"Stool"}, - {"Envelope"}, {"Cake"}, {"Dragonfly"}, {"Commonsunflower"}, {"Microwaveoven"}, {"Honeycomb"}, - {"Marinemammal"}, {"Sealion"}, {"Ladybug"}, {"Shelf"}, {"Watch"}, {"Candy"}, {"Salad"}, - {"Parrot"}, {"Handgun"}, {"Sparrow"}, {"Van"}, {"Grinder"}, {"Spicerack"}, {"Lightbulb"}, - {"Cordedphone"}, {"Sportsuniform"}, {"Tennisracket"}, {"Wallclock"}, {"Servingtray"}, - {"Kitchen&diningroomtable"}, {"Dogbed"}, {"Cakestand"}, {"Catfurniture"}, {"Bathroomaccessory"}, - {"Facialtissueholder"}, {"Pressurecooker"}, {"Kitchenappliance"}, {"Tire"}, {"Ruler"}, - {"Luggageandbags"}, {"Microphone"}, {"Broccoli"}, {"Umbrella"}, {"Pastry"}, {"Grapefruit"}, - {"Band-aid"}, {"Animal"}, {"Bellpepper"}, {"Turkey"}, {"Lily"}, {"Pomegranate"}, {"Doughnut"}, - {"Glasses"}, {"Humannose"}, {"Pen"}, {"Ant"}, {"Car"}, {"Aircraft"}, {"Humanhand"}, {"Skunk"}, - {"Teddybear"}, {"Watermelon"}, {"Cantaloupe"}, {"Dishwasher"}, {"Flute"}, {"Balancebeam"}, - {"Sandwich"}, {"Shrimp"}, {"Sewingmachine"}, {"Binoculars"}, {"Raysandskates"}, {"Ipod"}, - {"Accordion"}, {"Willow"}, {"Crab"}, {"Crown"}, {"Seahorse"}, {"Perfume"}, {"Alpaca"}, {"Taxi"}, - {"Canoe"}, {"Remotecontrol"}, {"Wheelchair"}, {"Rugbyball"}, {"Armadillo"}, {"Maracas"}, - {"Helmet"}}; - diff --git a/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.h b/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.h index da04476180a..9ba12e53fc1 100644 --- a/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.h +++ b/model_zoo/official/lite/image_classification/app/src/main/cpp/MSNetWork.h @@ -52,9 +52,8 @@ class MSNetWork { int ReleaseNets(void); - mindspore::session::LiteSession *session; - mindspore::lite::Model *model; - static const int RET_CATEGORY_SUM = 601; - static const char *labels_name_map[RET_CATEGORY_SUM]; + mindspore::session::LiteSession * session() const { return session_; } + private: + mindspore::session::LiteSession *session_; }; #endif diff --git a/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.cpp b/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.cpp index c0283a2dc8e..8788a892915 100644 --- a/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.cpp +++ b/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.cpp @@ -17,6 +17,7 @@ #include #include #include +#include #include #include #include @@ -34,6 +35,103 @@ using mindspore::dataset::LPixelType; using mindspore::dataset::LDataType; #define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__) +static const int RET_CATEGORY_SUM = 601; +static const char *labels_name_map[RET_CATEGORY_SUM] = { + {"Tortoise"}, {"Container"}, {"Magpie"}, {"Seaturtle"}, {"Football"}, {"Ambulance"}, {"Ladder"}, + {"Toothbrush"}, {"Syringe"}, {"Sink"}, {"Toy"}, {"Organ(MusicalInstrument) "}, {"Cassettedeck"}, + {"Apple"}, {"Humaneye"}, {"Cosmetics"}, {"Paddle"}, {"Snowman"}, {"Beer"}, {"Chopsticks"}, + {"Humanbeard"}, {"Bird"}, {"Parkingmeter"}, {"Trafficlight"}, {"Croissant"}, {"Cucumber"}, + {"Radish"}, {"Towel"}, {"Doll"}, {"Skull"}, {"Washingmachine"}, {"Glove"}, {"Tick"}, {"Belt"}, + {"Sunglasses"}, {"Banjo"}, {"Cart"}, {"Ball"}, {"Backpack"}, {"Bicycle"}, {"Homeappliance"}, + {"Centipede"}, {"Boat"}, {"Surfboard"}, {"Boot"}, {"Headphones"}, {"Hotdog"}, {"Shorts"}, + {"Fastfood"}, {"Bus"}, {"Boy "}, {"Screwdriver"}, {"Bicyclewheel"}, {"Barge"}, {"Laptop"}, + {"Miniskirt"}, {"Drill(Tool)"}, {"Dress"}, {"Bear"}, {"Waffle"}, {"Pancake"}, {"Brownbear"}, + {"Woodpecker"}, {"Bluejay"}, {"Pretzel"}, {"Bagel"}, {"Tower"}, {"Teapot"}, {"Person"}, + {"Bowandarrow"}, {"Swimwear"}, {"Beehive"}, {"Brassiere"}, {"Bee"}, {"Bat(Animal)"}, + {"Starfish"}, {"Popcorn"}, {"Burrito"}, {"Chainsaw"}, {"Balloon"}, {"Wrench"}, {"Tent"}, + {"Vehicleregistrationplate"}, {"Lantern"}, {"Toaster"}, {"Flashlight"}, {"Billboard"}, + {"Tiara"}, {"Limousine"}, {"Necklace"}, {"Carnivore"}, {"Scissors"}, {"Stairs"}, + {"Computerkeyboard"}, {"Printer"}, {"Trafficsign"}, {"Chair"}, {"Shirt"}, {"Poster"}, + {"Cheese"}, {"Sock"}, {"Firehydrant"}, {"Landvehicle"}, {"Earrings"}, {"Tie"}, {"Watercraft"}, + {"Cabinetry"}, {"Suitcase"}, {"Muffin"}, {"Bidet"}, {"Snack"}, {"Snowmobile"}, {"Clock"}, + {"Medicalequipment"}, {"Cattle"}, {"Cello"}, {"Jetski"}, {"Camel"}, {"Coat"}, {"Suit"}, + {"Desk"}, {"Cat"}, {"Bronzesculpture"}, {"Juice"}, {"Gondola"}, {"Beetle"}, {"Cannon"}, + {"Computermouse"}, {"Cookie"}, {"Officebuilding"}, {"Fountain"}, {"Coin"}, {"Calculator"}, + {"Cocktail"}, {"Computermonitor"}, {"Box"}, {"Stapler"}, {"Christmastree"}, {"Cowboyhat"}, + {"Hikingequipment"}, {"Studiocouch"}, {"Drum"}, {"Dessert"}, {"Winerack"}, {"Drink"}, + {"Zucchini"}, {"Ladle"}, {"Humanmouth"}, {"DairyProduct"}, {"Dice"}, {"Oven"}, {"Dinosaur"}, + {"Ratchet(Device)"}, {"Couch"}, {"Cricketball"}, {"Wintermelon"}, {"Spatula"}, {"Whiteboard"}, + {"Pencilsharpener"}, {"Door"}, {"Hat"}, {"Shower"}, {"Eraser"}, {"Fedora"}, {"Guacamole"}, + {"Dagger"}, {"Scarf"}, {"Dolphin"}, {"Sombrero"}, {"Tincan"}, {"Mug"}, {"Tap"}, {"Harborseal"}, + {"Stretcher"}, {"Canopener"}, {"Goggles"}, {"Humanbody"}, {"Rollerskates"}, {"Coffeecup"}, + {"Cuttingboard"}, {"Blender"}, {"Plumbingfixture"}, {"Stopsign"}, {"Officesupplies"}, + {"Volleyball(Ball)"}, {"Vase"}, {"Slowcooker"}, {"Wardrobe"}, {"Coffee"}, {"Whisk"}, + {"Papertowel"}, {"Personalcare"}, {"Food"}, {"Sunhat"}, {"Treehouse"}, {"Flyingdisc"}, + {"Skirt"}, {"Gasstove"}, {"Saltandpeppershakers"}, {"Mechanicalfan"}, {"Facepowder"}, {"Fax"}, + {"Fruit"}, {"Frenchfries"}, {"Nightstand"}, {"Barrel"}, {"Kite"}, {"Tart"}, {"Treadmill"}, + {"Fox"}, {"Flag"}, {"Frenchhorn"}, {"Windowblind"}, {"Humanfoot"}, {"Golfcart"}, {"Jacket"}, + {"Egg(Food)"}, {"Streetlight"}, {"Guitar"}, {"Pillow"}, {"Humanleg"}, {"Isopod"}, {"Grape"}, + {"Humanear"}, {"Powerplugsandsockets"}, {"Panda"}, {"Giraffe"}, {"Woman"}, {"Doorhandle"}, + {"Rhinoceros"}, {"Bathtub"}, {"Goldfish"}, {"Houseplant"}, {"Goat"}, {"Baseballbat"}, + {"Baseballglove"}, {"Mixingbowl"}, {"Marineinvertebrates"}, {"Kitchenutensil"}, {"Lightswitch"}, + {"House"}, {"Horse"}, {"Stationarybicycle"}, {"Hammer"}, {"Ceilingfan"}, {"Sofabed"}, + {"Adhesivetape "}, {"Harp"}, {"Sandal"}, {"Bicyclehelmet"}, {"Saucer"}, {"Harpsichord"}, + {"Humanhair"}, {"Heater"}, {"Harmonica"}, {"Hamster"}, {"Curtain"}, {"Bed"}, {"Kettle"}, + {"Fireplace"}, {"Scale"}, {"Drinkingstraw"}, {"Insect"}, {"Hairdryer"}, {"Kitchenware"}, + {"Indoorrower"}, {"Invertebrate"}, {"Foodprocessor"}, {"Bookcase"}, {"Refrigerator"}, + {"Wood-burningstove"}, {"Punchingbag"}, {"Commonfig"}, {"Cocktailshaker"}, {"Jaguar(Animal)"}, + {"Golfball"}, {"Fashionaccessory"}, {"Alarmclock"}, {"Filingcabinet"}, {"Artichoke"}, {"Table"}, + {"Tableware"}, {"Kangaroo"}, {"Koala"}, {"Knife"}, {"Bottle"}, {"Bottleopener"}, {"Lynx"}, + {"Lavender(Plant)"}, {"Lighthouse"}, {"Dumbbell"}, {"Humanhead"}, {"Bowl"}, {"Humidifier"}, + {"Porch"}, {"Lizard"}, {"Billiardtable"}, {"Mammal"}, {"Mouse"}, {"Motorcycle"}, + {"Musicalinstrument"}, {"Swimcap"}, {"Fryingpan"}, {"Snowplow"}, {"Bathroomcabinet"}, + {"Missile"}, {"Bust"}, {"Man"}, {"Waffleiron"}, {"Milk"}, {"Ringbinder"}, {"Plate"}, + {"Mobilephone"}, {"Bakedgoods"}, {"Mushroom"}, {"Crutch"}, {"Pitcher(Container)"}, {"Mirror"}, + {"Personalflotationdevice"}, {"Tabletennisracket"}, {"Pencilcase"}, {"Musicalkeyboard"}, + {"Scoreboard"}, {"Briefcase"}, {"Kitchenknife"}, {"Nail(Construction)"}, {"Tennisball"}, + {"Plasticbag"}, {"Oboe"}, {"Chestofdrawers"}, {"Ostrich"}, {"Piano"}, {"Girl"}, {"Plant"}, + {"Potato"}, {"Hairspray"}, {"Sportsequipment"}, {"Pasta"}, {"Penguin"}, {"Pumpkin"}, {"Pear"}, + {"Infantbed"}, {"Polarbear"}, {"Mixer"}, {"Cupboard"}, {"Jacuzzi"}, {"Pizza"}, {"Digitalclock"}, + {"Pig"}, {"Reptile"}, {"Rifle"}, {"Lipstick"}, {"Skateboard"}, {"Raven"}, {"Highheels"}, + {"Redpanda"}, {"Rose"}, {"Rabbit"}, {"Sculpture"}, {"Saxophone"}, {"Shotgun"}, {"Seafood"}, + {"Submarinesandwich"}, {"Snowboard"}, {"Sword"}, {"Pictureframe"}, {"Sushi"}, {"Loveseat"}, + {"Ski"}, {"Squirrel"}, {"Tripod"}, {"Stethoscope"}, {"Submarine"}, {"Scorpion"}, {"Segway"}, + {"Trainingbench"}, {"Snake"}, {"Coffeetable"}, {"Skyscraper"}, {"Sheep"}, {"Television"}, + {"Trombone"}, {"Tea"}, {"Tank"}, {"Taco"}, {"Telephone"}, {"Torch"}, {"Tiger"}, {"Strawberry"}, + {"Trumpet"}, {"Tree"}, {"Tomato"}, {"Train"}, {"Tool"}, {"Picnicbasket"}, {"Cookingspray"}, + {"Trousers"}, {"Bowlingequipment"}, {"Footballhelmet"}, {"Truck"}, {"Measuringcup"}, + {"Coffeemaker"}, {"Violin"}, {"Vehicle"}, {"Handbag"}, {"Papercutter"}, {"Wine"}, {"Weapon"}, + {"Wheel"}, {"Worm"}, {"Wok"}, {"Whale"}, {"Zebra"}, {"Autopart"}, {"Jug"}, {"Pizzacutter"}, + {"Cream"}, {"Monkey"}, {"Lion"}, {"Bread"}, {"Platter"}, {"Chicken"}, {"Eagle"}, {"Helicopter"}, + {"Owl"}, {"Duck"}, {"Turtle"}, {"Hippopotamus"}, {"Crocodile"}, {"Toilet"}, {"Toiletpaper"}, + {"Squid"}, {"Clothing"}, {"Footwear"}, {"Lemon"}, {"Spider"}, {"Deer"}, {"Frog"}, {"Banana"}, + {"Rocket"}, {"Wineglass"}, {"Countertop"}, {"Tabletcomputer"}, {"Wastecontainer"}, + {"Swimmingpool"}, {"Dog"}, {"Book"}, {"Elephant"}, {"Shark"}, {"Candle"}, {"Leopard"}, {"Axe"}, + {"Handdryer"}, {"Soapdispenser"}, {"Porcupine"}, {"Flower"}, {"Canary"}, {"Cheetah"}, + {"Palmtree"}, {"Hamburger"}, {"Maple"}, {"Building"}, {"Fish"}, {"Lobster"}, + {"GardenAsparagus"}, {"Furniture"}, {"Hedgehog"}, {"Airplane"}, {"Spoon"}, {"Otter"}, {"Bull"}, + {"Oyster"}, {"Horizontalbar"}, {"Conveniencestore"}, {"Bomb"}, {"Bench"}, {"Icecream"}, + {"Caterpillar"}, {"Butterfly"}, {"Parachute"}, {"Orange"}, {"Antelope"}, {"Beaker"}, + {"Mothsandbutterflies"}, {"Window"}, {"Closet"}, {"Castle"}, {"Jellyfish"}, {"Goose"}, {"Mule"}, + {"Swan"}, {"Peach"}, {"Coconut"}, {"Seatbelt"}, {"Raccoon"}, {"Chisel"}, {"Fork"}, {"Lamp"}, + {"Camera"}, {"Squash(Plant)"}, {"Racket"}, {"Humanface"}, {"Humanarm"}, {"Vegetable"}, + {"Diaper"}, {"Unicycle"}, {"Falcon"}, {"Chime"}, {"Snail"}, {"Shellfish"}, {"Cabbage"}, + {"Carrot"}, {"Mango"}, {"Jeans"}, {"Flowerpot"}, {"Pineapple"}, {"Drawer"}, {"Stool"}, + {"Envelope"}, {"Cake"}, {"Dragonfly"}, {"Commonsunflower"}, {"Microwaveoven"}, {"Honeycomb"}, + {"Marinemammal"}, {"Sealion"}, {"Ladybug"}, {"Shelf"}, {"Watch"}, {"Candy"}, {"Salad"}, + {"Parrot"}, {"Handgun"}, {"Sparrow"}, {"Van"}, {"Grinder"}, {"Spicerack"}, {"Lightbulb"}, + {"Cordedphone"}, {"Sportsuniform"}, {"Tennisracket"}, {"Wallclock"}, {"Servingtray"}, + {"Kitchen&diningroomtable"}, {"Dogbed"}, {"Cakestand"}, {"Catfurniture"}, {"Bathroomaccessory"}, + {"Facialtissueholder"}, {"Pressurecooker"}, {"Kitchenappliance"}, {"Tire"}, {"Ruler"}, + {"Luggageandbags"}, {"Microphone"}, {"Broccoli"}, {"Umbrella"}, {"Pastry"}, {"Grapefruit"}, + {"Band-aid"}, {"Animal"}, {"Bellpepper"}, {"Turkey"}, {"Lily"}, {"Pomegranate"}, {"Doughnut"}, + {"Glasses"}, {"Humannose"}, {"Pen"}, {"Ant"}, {"Car"}, {"Aircraft"}, {"Humanhand"}, {"Skunk"}, + {"Teddybear"}, {"Watermelon"}, {"Cantaloupe"}, {"Dishwasher"}, {"Flute"}, {"Balancebeam"}, + {"Sandwich"}, {"Shrimp"}, {"Sewingmachine"}, {"Binoculars"}, {"Raysandskates"}, {"Ipod"}, + {"Accordion"}, {"Willow"}, {"Crab"}, {"Crown"}, {"Seahorse"}, {"Perfume"}, {"Alpaca"}, {"Taxi"}, + {"Canoe"}, {"Remotecontrol"}, {"Wheelchair"}, {"Rugbyball"}, {"Armadillo"}, {"Maracas"}, + {"Helmet"}}; + char *CreateLocalModelBuffer(JNIEnv *env, jobject modelBuffer) { jbyte *modelAddr = static_cast(env->GetDirectBufferAddress(modelBuffer)); int modelLen = static_cast(env->GetDirectBufferCapacity(modelBuffer)); @@ -186,12 +284,12 @@ Java_com_mindspore_himindsporedemo_gallery_classify_TrackingMobile_loadModel(JNI context->thread_num_ = num_thread; labelNet->CreateSessionMS(modelBuffer, bufferLen, context); - delete (context); + delete context; - if (labelNet->session == nullptr) { + if (labelNet->session() == nullptr) { MS_PRINT("MindSpore create session failed!."); - delete (labelNet); - delete (labelEnv); + delete labelNet; + delete labelEnv; return (jlong) nullptr; } @@ -234,7 +332,7 @@ Java_com_mindspore_himindsporedemo_gallery_classify_TrackingMobile_runNet(JNIEnv } MSNetWork *labelNet = static_cast(*labelEnv); - auto mSession = labelNet->session; + auto mSession = labelNet->session(); if (mSession == nullptr) { MS_PRINT("MindSpore error, Session is a nullptr."); return NULL; @@ -272,8 +370,8 @@ Java_com_mindspore_himindsporedemo_gallery_classify_TrackingMobile_runNet(JNIEnv msOutputs.insert(std::pair {name, temp_dat}); } - std::string resultStr = ProcessRunnetResult(MSNetWork::RET_CATEGORY_SUM, - MSNetWork::labels_name_map, msOutputs); + std::string resultStr = ProcessRunnetResult(::RET_CATEGORY_SUM, + ::labels_name_map, msOutputs); const char *resultCharData = resultStr.c_str(); return (env)->NewStringUTF(resultCharData); diff --git a/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.h b/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.h index 9f01714462e..08374ac5af4 100644 --- a/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.h +++ b/model_zoo/official/lite/image_classification/app/src/main/cpp/MindSporeNetnative.h @@ -17,4 +17,7 @@ #ifndef MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H #define MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H + + + #endif // MINDSPORE_JNI_HMS_DEBUG_MINDSPORENETNATIVE_H diff --git a/model_zoo/official/lite/image_classification/app/src/main/java/com/mindspore/himindsporedemo/widget/CameraFragment.java b/model_zoo/official/lite/image_classification/app/src/main/java/com/mindspore/himindsporedemo/widget/CameraFragment.java index 1dc7f46df2b..07a4ce420bf 100644 --- a/model_zoo/official/lite/image_classification/app/src/main/java/com/mindspore/himindsporedemo/widget/CameraFragment.java +++ b/model_zoo/official/lite/image_classification/app/src/main/java/com/mindspore/himindsporedemo/widget/CameraFragment.java @@ -427,7 +427,6 @@ public class CameraFragment extends Fragment { mPreviewRequestBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW); mPreviewRequestBuilder.addTarget(surface); - // mPreviewRequestBuilder.addTarget(mImageReader.getSurface()); // Here, we create a CameraCaptureSession for ic_launcher preview. mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()), new CameraCaptureSession.StateCallback() { diff --git a/model_zoo/official/lite/object_detection/.gitignore b/model_zoo/official/lite/object_detection/.gitignore new file mode 100644 index 00000000000..693777911f0 --- /dev/null +++ b/model_zoo/official/lite/object_detection/.gitignore @@ -0,0 +1,83 @@ +# MindSpore +build/ +app/src/main/cpp/mindspore-lite* +app/src/main/assets/model/ +mindspore/lib +output +*.ir +mindspore/ccsrc/schema/inner/* + +# Cmake files +CMakeFiles/ +cmake_install.cmake +CMakeCache.txt +Makefile +cmake-build-debug + +# Dynamic libraries +*.so +*.so.* +*.dylib + +# Static libraries +*.la +*.lai +*.a +*.lib + +# Protocol buffers +*_pb2.py +*.pb.h +*.pb.cc + +# Object files +*.o + +# Editor +.vscode +.idea/ + +# Cquery +.cquery_cached_index/ +compile_commands.json + +# Ctags and cscope +tags +TAGS +CTAGS +GTAGS +GRTAGS +GSYMS +GPATH +cscope.* + +# Python files +*__pycache__* +.pytest_cache + +# Mac files +*.DS_Store + +# Test results +test_temp_summary_event_file/ +*.dot +*.dat +*.svg +*.perf +*.info +*.ckpt +*.shp +*.pkl +.clangd +mindspore/version.py +mindspore/default_config.py +mindspore/.commit_id +onnx.proto +mindspore/ccsrc/onnx.proto + +# Android +local.properties +.gradle +sdk/build +sdk/.cxx +app/.cxx diff --git a/model_zoo/official/lite/object_detection/README.en.md b/model_zoo/official/lite/object_detection/README.en.md new file mode 100644 index 00000000000..883fe05f664 --- /dev/null +++ b/model_zoo/official/lite/object_detection/README.en.md @@ -0,0 +1,549 @@ +# demo_object_detection + +The following describes how to use the MindSpore Lite C++ APIs (Android JNIs) and MindSpore Lite object detection models to perform on-device inference, detect the content captured by a device camera, and display the most possible detection result on the application's image preview screen. + +## Deploying an Application + +The following section describes how to build and execute an on-device object detecion task on MindSpore Lite. + +### Running Dependencies + +- Android Studio 3.2 or later (Android 4.0 or later is recommended.) +- Native development kit (NDK) 21.3 +- CMake 3.10.2 +- Android software development kit (SDK) 26 or later +- OpenCV 4.0.0 or later (included in the sample code) + +### Building and Running + +1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.) + + ![start_home](images/home.png) + + Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK. + + ![start_sdk](images/sdk_management.png) + +2. Connect to an Android device and runs the object detection application. + + Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device. + + ![run_app](images/project_structure.png) + + For details about how to connect the Android Studio to a device for debugging, see . + +3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result. + + ![result](images/object_detection.png) + + +## Detailed Description of the Sample Program + +This object detection sample program on the Android device includes a Java layer and a JNI layer. At the Java layer, the Android Camera 2 API is used to enable a camera to obtain image frames and process images. At the JNI layer, the model inference process is completed . + +### Configuring MindSpore Lite Dependencies + +In Android Studio, place the compiled `libmindspore-lite.so` library file (which can contain multiple compatible architectures) in the `app/libs/ARM64-V8a` (Arm64) or `app/libs/armeabi-v7a` (Arm32) directory of the application project. In the `build.gradle` file of the application, configure the compilation support of CMake, `arm64-v8a`, and `armeabi-v7a`.　　 + +``` +android{ + defaultConfig{ + externalNativeBuild{ + cmake{ + arguments "-DANDROID_STL=c++_shared" + } + } + + ndk{ + abiFilters'armeabi-v7a', 'arm64-v8a' + } + } +} +``` + +Create a link to the `.so` library file in the `app/CMakeLists.txt` file: + +``` +# Set MindSpore Lite Dependencies. +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/include/MindSpore) +add_library(mindspore-lite SHARED IMPORTED ) +set_target_properties(mindspore-lite PROPERTIES + IMPORTED_LOCATION "${CMAKE_SOURCE_DIR}/libs/libmindspore-lite.so") + +# Link target library. +target_link_libraries( + ... + mindspore-lite + minddata-lite + ... +) +``` + + + +In this example, the download.gradle File configuration auto download library file, placed in the 'app / libs / arm64-v8a' directory. + +Note: if the automatic download fails, please manually download the relevant library files and put them in the corresponding location. + +libmindspore-lite.so [libmindspore-lite.so]( https://download.mindspore.cn/model_zoo/official/lite/lib/mindspore%20version%200.7/libmindspore-lite.so) + + + +### Downloading and Deploying a Model File + +In this example, the download.gradle File configuration auto download `ssd.ms `and placed in the 'app / libs / arm64-v8a' directory. + +Note: if the automatic download fails, please manually download the relevant library files and put them in the corresponding location. + +ssd.ms [ssd.ms]( https://download.mindspore.cn/model_zoo/official/lite/ssd_mobilenetv2_lite/ssd.ms) + + + +### Compiling On-Device Inference Code + +Call MindSpore Lite C++ APIs at the JNI layer to implement on-device inference. + +The inference code process is as follows. For details about the complete code, see `src/cpp/MindSporeNetnative.cpp`. + +1. Load the MindSpore Lite model file and build the context, session, and computational graph for inference. + + - Load a model file. Create and configure the context for model inference. + + ```cpp + // Buffer is the model data passed in by the Java layer + jlong bufferLen = env->GetDirectBufferCapacity(buffer); + char *modelBuffer = CreateLocalModelBuffer(env, buffer); + ``` + + - Create a session. + + ```cpp + void **labelEnv = new void *; + MSNetWork *labelNet = new MSNetWork; + *labelEnv = labelNet; + + // Create context. + lite::Context *context = new lite::Context; + + context->device_ctx_.type = lite::DT_CPU; + context->thread_num_ = numThread; //Specify the number of threads to run inference + + // Create the mindspore session. + labelNet->CreateSessionMS(modelBuffer, bufferLen, "device label", context); + delete(context); + + ``` + + - Load the model file and build a computational graph for inference. + + ```cpp + void MSNetWork::CreateSessionMS(char* modelBuffer, size_t bufferLen, std::string name, mindspore::lite::Context* ctx) + { + CreateSession(modelBuffer, bufferLen, ctx); + session = mindspore::session::LiteSession::CreateSession(ctx); + auto model = mindspore::lite::Model::Import(modelBuffer, bufferLen); + int ret = session->CompileGraph(model); + } + ``` + +2. Pre-Process the imagedata and convert the input image into the Tensor format of the MindSpore model. + + ```cpp + // Convert the Bitmap image passed in from the JAVA layer to Mat for OpenCV processing + LiteMat lite_mat_bgr,lite_norm_mat_cut; + + if (!BitmapToLiteMat(env, srcBitmap, lite_mat_bgr)){ + MS_PRINT("BitmapToLiteMat error"); + return NULL; + } + int srcImageWidth = lite_mat_bgr.width_; + int srcImageHeight = lite_mat_bgr.height_; + if(!PreProcessImageData(lite_mat_bgr, lite_norm_mat_cut)){ + MS_PRINT("PreProcessImageData error"); + return NULL; + } + ImgDims inputDims; + inputDims.channel =lite_norm_mat_cut.channel_; + inputDims.width = lite_norm_mat_cut.width_; + inputDims.height = lite_norm_mat_cut.height_; + + // Get the mindsore inference environment which created in loadModel(). + void **labelEnv = reinterpret_cast(netEnv); + if (labelEnv == nullptr) { + MS_PRINT("MindSpore error, labelEnv is a nullptr."); + return NULL; + } + MSNetWork *labelNet = static_cast(*labelEnv); + + auto mSession = labelNet->session; + if (mSession == nullptr) { + MS_PRINT("MindSpore error, Session is a nullptr."); + return NULL; + } + MS_PRINT("MindSpore get session."); + + auto msInputs = mSession->GetInputs(); + auto inTensor = msInputs.front(); + + float *dataHWC = reinterpret_cast(lite_norm_mat_cut.data_ptr_); + // copy input Tensor + memcpy(inTensor->MutableData(), dataHWC, + inputDims.channel * inputDims.width * inputDims.height * sizeof(float)); + delete[] (dataHWC); + ``` + +3. The input image shall be NHWC(1:300:300:3). + + ```cpp + bool PreProcessImageData(const LiteMat &lite_mat_bgr, LiteMat *lite_norm_mat_ptr) { + bool ret = false; + LiteMat lite_mat_resize; + LiteMat &lite_norm_mat_cut = *lite_norm_mat_ptr; + ret = ResizeBilinear(lite_mat_bgr, lite_mat_resize, 300, 300); + if (!ret) { + MS_PRINT("ResizeBilinear error"); + return false; + } + LiteMat lite_mat_convert_float; + ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 / 255.0); + if (!ret) { + MS_PRINT("ConvertTo error"); + return false; + } + + float means[3] = {0.485, 0.456, 0.406}; + float vars[3] = {1.0 / 0.229, 1.0 / 0.224, 1.0 / 0.225}; + SubStractMeanNormalize(lite_mat_convert_float, lite_norm_mat_cut, means, vars); + return true; + } + + ``` + +4. Perform inference on the input tensor based on the model, obtain the output tensor, and perform post-processing. + + Perform graph execution and on-device inference. + + ```cpp + // After the model and image tensor data is loaded, run inference. + auto status = mSession->RunGraph(); + ``` + + Obtain the output data. + + ```cpp + auto names = mSession->GetOutputTensorNames(); + typedef std::unordered_map> Msout; + std::unordered_map msOutputs; + for (const auto &name : names) { + auto temp_dat =mSession->GetOutputByTensorName(name); + msOutputs.insert(std::pair {name, temp_dat}); + } + std::string retStr = ProcessRunnetResult(msOutputs, ret); + ``` + + The model output the object category scores (1:1917:81) and the object detection location offset (1:1917:4). The location offset can be calcalation the object location in getDefaultBoxes function . + + ```cpp + void SSDModelUtil::getDefaultBoxes() { + float fk[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; + std::vector all_sizes; + struct Product mProductData[19 * 19] = {0}; + + for (int i = 0; i < 6; i++) { + fk[i] = config.model_input_height / config.steps[i]; + } + float scale_rate = + (config.max_scale - config.min_scale) / (sizeof(config.num_default) / sizeof(int) - 1); + float scales[7] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0}; + for (int i = 0; i < sizeof(config.num_default) / sizeof(int); i++) { + scales[i] = config.min_scale + scale_rate * i; + } + + for (int idex = 0; idex < sizeof(config.feature_size) / sizeof(int); idex++) { + float sk1 = scales[idex]; + float sk2 = scales[idex + 1]; + float sk3 = sqrt(sk1 * sk2); + struct WHBox tempWHBox; + + all_sizes.clear(); + + if (idex == 0) { + float w = sk1 * sqrt(2); + float h = sk1 / sqrt(2); + + tempWHBox.boxw = 0.1; + tempWHBox.boxh = 0.1; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + + } else { + tempWHBox.boxw = sk1; + tempWHBox.boxh = sk1; + all_sizes.push_back(tempWHBox); + + for (int j = 0; j < sizeof(config.aspect_ratios[idex]) / sizeof(int); j++) { + float w = sk1 * sqrt(config.aspect_ratios[idex][j]); + float h = sk1 / sqrt(config.aspect_ratios[idex][j]); + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + } + + tempWHBox.boxw = sk3; + tempWHBox.boxh = sk3; + all_sizes.push_back(tempWHBox); + } + + for (int i = 0; i < config.feature_size[idex]; i++) { + for (int j = 0; j < config.feature_size[idex]; j++) { + mProductData[i * config.feature_size[idex] + j].x = i; + mProductData[i * config.feature_size[idex] + j].y = j; + } + } + + int productLen = config.feature_size[idex] * config.feature_size[idex]; + + for (int i = 0; i < productLen; i++) { + for (int j = 0; j < all_sizes.size(); j++) { + struct NormalBox tempBox; + float cx = (mProductData[i].y + 0.5) / fk[idex]; + float cy = (mProductData[i].x + 0.5) / fk[idex]; + tempBox.y = cy; + tempBox.x = cx; + tempBox.h = all_sizes[j].boxh; + tempBox.w = all_sizes[j].boxw; + mDefaultBoxes.push_back(tempBox); + } + } + } + } + ``` + + - The higher scores and location of category can be calcluted by the nonMaximumSuppression function. + + ```cpp + void SSDModelUtil::nonMaximumSuppression(const YXBoxes *const decoded_boxes, + const float *const scores, + const std::vector &in_indexes, + std::vector &out_indexes, const float nmsThreshold, + const int count, const int max_results) { + int nR = 0; //number of results + std::vector del(count, false); + for (size_t i = 0; i < in_indexes.size(); i++) { + if (!del[in_indexes[i]]) { + out_indexes.push_back(in_indexes[i]); + if (++nR == max_results) { + break; + } + for (size_t j = i + 1; j < in_indexes.size(); j++) { + const auto boxi = decoded_boxes[in_indexes[i]], boxj = decoded_boxes[in_indexes[j]]; + float a[4] = {boxi.xmin, boxi.ymin, boxi.xmax, boxi.ymax}; + float b[4] = {boxj.xmin, boxj.ymin, boxj.xmax, boxj.ymax}; + if (IOU(a, b) > nmsThreshold) { + del[in_indexes[j]] = true; + } + } + } + } + } + ``` + + - For the targets whose probability is greater than the threshold value, the output rectangle box needs to be restored to the original size after the rectangular box is filtered by NMS algorithm. + +```cpp +std::string SSDModelUtil::getDecodeResult(float *branchScores, float *branchBoxData) { + std::string result = ""; + NormalBox tmpBox[1917] = {0}; + float mScores[1917][81] = {0}; + + float outBuff[1917][7] = {0}; + + float scoreWithOneClass[1917] = {0}; + int outBoxNum = 0; + YXBoxes decodedBoxes[1917] = {0}; + + // Copy branch outputs box data to tmpBox. + for (int i = 0; i < 1917; ++i) { + tmpBox[i].y = branchBoxData[i * 4 + 0]; + tmpBox[i].x = branchBoxData[i * 4 + 1]; + tmpBox[i].h = branchBoxData[i * 4 + 2]; + tmpBox[i].w = branchBoxData[i * 4 + 3]; + } + + // Copy branch outputs score to mScores. + for (int i = 0; i < 1917; ++i) { + for (int j = 0; j < 81; ++j) { + mScores[i][j] = branchScores[i * 81 + j]; + } + } + + // NMS processing. + ssd_boxes_decode(tmpBox, decodedBoxes); + // const float nms_threshold = 0.6; + const float nms_threshold = 0.3; + for (int i = 1; i < 81; i++) { + std::vector in_indexes; + for (int j = 0; j < 1917; j++) { + scoreWithOneClass[j] = mScores[j][i]; + // if (mScores[j][i] > 0.1) { + if (mScores[j][i] > g_thres_map[i]) { + in_indexes.push_back(j); + } + } + if (in_indexes.size() == 0) { + continue; + } + + sort(in_indexes.begin(), in_indexes.end(), + [&](int a, int b) { return scoreWithOneClass[a] > scoreWithOneClass[b]; }); + std::vector out_indexes; + + nonMaximumSuppression(decodedBoxes, scoreWithOneClass, in_indexes, out_indexes, + nms_threshold); + for (int k = 0; k < out_indexes.size(); k++) { + outBuff[outBoxNum][0] = out_indexes[k]; //image id + outBuff[outBoxNum][1] = i; //labelid + outBuff[outBoxNum][2] = scoreWithOneClass[out_indexes[k]]; //scores + outBuff[outBoxNum][3] = + decodedBoxes[out_indexes[k]].xmin * inputImageWidth / 300; + outBuff[outBoxNum][4] = + decodedBoxes[out_indexes[k]].ymin * inputImageHeight / 300; + outBuff[outBoxNum][5] = + decodedBoxes[out_indexes[k]].xmax * inputImageWidth / 300; + outBuff[outBoxNum][6] = + decodedBoxes[out_indexes[k]].ymax * inputImageHeight / 300; + outBoxNum++; + } + } + MS_PRINT("outBoxNum %d", outBoxNum); + + for (int i = 0; i < outBoxNum; ++i) { + std::string tmpid_str = std::to_string(outBuff[i][0]); + result += tmpid_str; // image ID + result += "_"; + // tmpid_str = std::to_string(outBuff[i][1]); + MS_PRINT("label_classes i %d, outBuff %d",i, (int) outBuff[i][1]); + tmpid_str = label_classes[(int) outBuff[i][1]]; + result += tmpid_str; // label id + result += "_"; + tmpid_str = std::to_string(outBuff[i][2]); + result += tmpid_str; // scores + result += "_"; + tmpid_str = std::to_string(outBuff[i][3]); + result += tmpid_str; // xmin + result += "_"; + tmpid_str = std::to_string(outBuff[i][4]); + result += tmpid_str; // ymin + result += "_"; + tmpid_str = std::to_string(outBuff[i][5]); + result += tmpid_str; // xmax + result += "_"; + tmpid_str = std::to_string(outBuff[i][6]); + result += tmpid_str; // ymax + result += ";"; + } + + return result; +} +std::string SSDModelUtil::getDecodeResult(float *branchScores, float *branchBoxData) { + std::string result = ""; + NormalBox tmpBox[1917] = {0}; + float mScores[1917][81] = {0}; + float outBuff[1917][7] = {0}; + float scoreWithOneClass[1917] = {0}; + int outBoxNum = 0; + YXBoxes decodedBoxes[1917] = {0}; + + // Copy branch outputs box data to tmpBox. + for (int i = 0; i < 1917; ++i) { + tmpBox[i].y = branchBoxData[i * 4 + 0]; + tmpBox[i].x = branchBoxData[i * 4 + 1]; + tmpBox[i].h = branchBoxData[i * 4 + 2]; + tmpBox[i].w = branchBoxData[i * 4 + 3]; + } + + // Copy branch outputs score to mScores. + for (int i = 0; i < 1917; ++i) { + for (int j = 0; j < 81; ++j) { + mScores[i][j] = branchScores[i * 81 + j]; + } + } + + ssd_boxes_decode(tmpBox, decodedBoxes); + const float nms_threshold = 0.3; + for (int i = 1; i < 81; i++) { + std::vector in_indexes; + for (int j = 0; j < 1917; j++) { + scoreWithOneClass[j] = mScores[j][i]; + if (mScores[j][i] > g_thres_map[i]) { + in_indexes.push_back(j); + } + } + if (in_indexes.size() == 0) { + continue; + } + + sort(in_indexes.begin(), in_indexes.end(), + [&](int a, int b) { return scoreWithOneClass[a] > scoreWithOneClass[b]; }); + std::vector out_indexes; + + nonMaximumSuppression(decodedBoxes, scoreWithOneClass, in_indexes, out_indexes, + nms_threshold); + for (int k = 0; k < out_indexes.size(); k++) { + outBuff[outBoxNum][0] = out_indexes[k]; //image id + outBuff[outBoxNum][1] = i; //labelid + outBuff[outBoxNum][2] = scoreWithOneClass[out_indexes[k]]; //scores + outBuff[outBoxNum][3] = + decodedBoxes[out_indexes[k]].xmin * inputImageWidth / 300; + outBuff[outBoxNum][4] = + decodedBoxes[out_indexes[k]].ymin * inputImageHeight / 300; + outBuff[outBoxNum][5] = + decodedBoxes[out_indexes[k]].xmax * inputImageWidth / 300; + outBuff[outBoxNum][6] = + decodedBoxes[out_indexes[k]].ymax * inputImageHeight / 300; + outBoxNum++; + } + } + MS_PRINT("outBoxNum %d", outBoxNum); + + for (int i = 0; i < outBoxNum; ++i) { + std::string tmpid_str = std::to_string(outBuff[i][0]); + result += tmpid_str; // image ID + result += "_"; + // tmpid_str = std::to_string(outBuff[i][1]); + MS_PRINT("label_classes i %d, outBuff %d",i, (int) outBuff[i][1]); + tmpid_str = label_classes[(int) outBuff[i][1]]; + result += tmpid_str; // label id + result += "_"; + tmpid_str = std::to_string(outBuff[i][2]); + result += tmpid_str; // scores + result += "_"; + tmpid_str = std::to_string(outBuff[i][3]); + result += tmpid_str; // xmin + result += "_"; + tmpid_str = std::to_string(outBuff[i][4]); + result += tmpid_str; // ymin + result += "_"; + tmpid_str = std::to_string(outBuff[i][5]); + result += tmpid_str; // xmax + result += "_"; + tmpid_str = std::to_string(outBuff[i][6]); + result += tmpid_str; // ymax + result += ";"; + } + return result; +} +``` + diff --git a/model_zoo/official/lite/object_detection/README.md b/model_zoo/official/lite/object_detection/README.md new file mode 100644 index 00000000000..d632cb7295a --- /dev/null +++ b/model_zoo/official/lite/object_detection/README.md @@ -0,0 +1,490 @@ +## MindSpore Lite 端侧目标检测demo（Android） + +本示例程序演示了如何在端侧利用MindSpore Lite C++ API（Android JNI）以及MindSpore Lite 目标检测模型完成端侧推理，实现对图库或者设备摄像头捕获的内容进行检测，并在App图像预览界面中显示连续目标检测结果。 + + +### 运行依赖 + +- Android Studio >= 3.2 (推荐4.0以上版本) +- NDK 21.3 +- CMake 3.10 +- Android SDK >= 26 + +### 构建与运行 + +1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。 + + ![start_home](images/home.png) + + 启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。 + + ![start_sdk](images/sdk_management.png) + + （可选）若安装时出现NDK版本问题，可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)（本示例代码使用的NDK版本为21.3），并在`Project Structure`的`Android NDK location`设置中指定SDK的位置。 + + ![project_structure](images/project_structure.png) + +2. 连接Android设备，运行目标检测示例应用程序。 + + 通过USB连接Android设备调试，点击`Run 'app'`即可在你的设备上运行本示例项目。 + * 注：编译过程中Android Studio会自动下载MindSpore Lite、OpenCV、模型文件等相关依赖项，编译过程需做耐心等待。 + + ![run_app](images/run_app.PNG) + + Android Studio连接设备调试操作，可参考。 + +3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。 + + ![install](images/install.jpg) + + 如下图所示，检测出图中内容是鼠标。 + + ![result](images/object_detection.png) + + +## 示例程序详细说明 + +本端侧目标检测Android示例程序分为JAVA层和JNI层，其中，JAVA层主要通过Android Camera 2 API实现摄像头获取图像帧，以及相应的图像处理（针对推理结果画框）等功能；JNI层在[Runtime](https://www.mindspore.cn/tutorial/zh-CN/master/use/lite_runtime.html)中完成模型推理的过程。 + +> 此处详细说明示例程序的JNI层实现，JAVA层运用Android Camera 2 API实现开启设备摄像头以及图像帧处理等功能，需读者具备一定的Android开发基础知识。 + +### 示例程序结构 + +``` +app +| +├── libs # 存放demo jni层编译出的库文件 +│ └── arm64-v8a +│ │── libmlkit-label-MS.so # +| +├── src/main +│ ├── assets # 资源文件 +| | └── ssd.ms # 存放模型文件 +│ | +│ ├── cpp # 模型加载和预测主要逻辑封装类 +| | ├── mindspore-lite-...-cpu # minspore源码编译出的调用包,包含demo jni层依赖的库文件及相关的头文件 +| | | └── ... +│ | | +| | ├── MindSporeNetnative.cpp # MindSpore调用相关的JNI方法 +│ ├── java # java层应用代码 +│ │ └── com.huawei.himindsporedemo +│ │ ├── help # 图像处理及MindSpore JNI调用相关实现 +│ │ │ └── ... +│ │ └── obejctdetect # 开启摄像头及绘制相关实现 +│ │ └── ... +│ │ +│ ├── res # 存放Android相关的资源文件 +│ └── AndroidManifest.xml # Android配置文件 +│ +├── CMakeList.txt # cmake编译入口文件 +│ +├── build.gradle # 其他Android配置文件 +├── download.gradle # APP构建时由gradle自动从HuaWei Server下载依赖的库文件及模型文件 +└── ... +``` + +### 配置MindSpore Lite依赖项 + +Android JNI层调用MindSpore C++ API时，需要相关库文件支持。可通过MindSpore Lite[源码编译](https://www.mindspore.cn/lite/docs/zh-CN/master/deploy.html)生成`libmindspore-lite.so`库文件。 + +在Android Studio中将编译完成的`libmindspore-lite.so`库文件（可包含多个兼容架构），分别放置在APP工程的`app/libs/arm64-v8a`（ARM64）或`app/libs/armeabi-v7a`（ARM32）目录下，并在app的`build.gradle`文件中配置CMake编译支持，以及`arm64-v8a`和`armeabi-v7a`的编译支持，如下所示： +``` +android{ + defaultConfig{ + externalNativeBuild{ + cmake{ + arguments "-DANDROID_STL=c++_shared" + } + } + + ndk{ + abiFilters 'arm64-v8a' + } + } +} +``` + +在`app/CMakeLists.txt`文件中建立`.so`库文件链接，如下所示。 + +``` +# Set MindSpore Lite Dependencies. +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/include/MindSpore) +add_library(mindspore-lite SHARED IMPORTED ) +set_target_properties(mindspore-lite PROPERTIES + IMPORTED_LOCATION "${CMAKE_SOURCE_DIR}/libs/libmindspore-lite.so") + +# Link target library. +target_link_libraries( + ... + mindspore-lite + minddata-lite + ... +) +``` + +本示例中，app build过程由download.gradle文件自动从华为服务器下载mindspore所编译的库及相关头文件，并放置在`src/main/cpp`工程目录下。 + + +* 注：若自动下载失败，请手动下载相关库文件并将其放在对应位置： +* libmindspore-lite.so [下载链接](https://download.mindspore.cn/model_zoo/official/lite/lib/mindspore%20version%200.7/libmindspore-lite.so) + + +### 下载及部署模型文件 + +从MindSpore Model Hub中下载模型文件，本示例程序中使用的目标检测模型文件为`ssd.ms`，同样通过download.gradle脚本在APP构建时自动下载，并放置在`app/src/main/assets`工程目录下。 + +* 注：若下载失败请手动下载模型文件，ssd.ms [下载链接](https://download.mindspore.cn/model_zoo/official/lite/ssd_mobilenetv2_lite/ssd.ms)。 + + +### 编写端侧推理代码 + +在JNI层调用MindSpore Lite C++ API实现端测推理。 + +推理代码流程如下，完整代码请参见`src/cpp/MindSporeNetnative.cpp`。 + +1. 加载MindSpore Lite模型文件，构建上下文、会话以及用于推理的计算图。 + + - 加载模型文件：创建并配置用于模型推理的上下文 + ```cpp + // Buffer is the model data passed in by the Java layer + jlong bufferLen = env->GetDirectBufferCapacity(buffer); + char *modelBuffer = CreateLocalModelBuffer(env, buffer); + ``` + + - 创建会话 + ```cpp + void **labelEnv = new void *; + MSNetWork *labelNet = new MSNetWork; + *labelEnv = labelNet; + + // Create context. + lite::Context *context = new lite::Context; + context->cpu_bind_mode_ = lite::NO_BIND; + context->device_ctx_.type = lite::DT_CPU; + context->thread_num_ = numThread; //Specify the number of threads to run inference + + // Create the mindspore session. + labelNet->CreateSessionMS(modelBuffer, bufferLen, "device label", context); + delete context; + + ``` + + - 加载模型文件并构建用于推理的计算图 + ```cpp + void MSNetWork::CreateSessionMS(char* modelBuffer, size_t bufferLen, std::string name, mindspore::lite::Context* ctx) + { + CreateSession(modelBuffer, bufferLen, ctx); + session = mindspore::session::LiteSession::CreateSession(ctx); + auto model = mindspore::lite::Model::Import(modelBuffer, bufferLen); + int ret = session->CompileGraph(model); // Compile Graph + } + ``` + +2. 将输入图片转换为传入MindSpore模型的Tensor格式。 + + 将待检测图片数据转换为输入MindSpore模型的Tensor。 + + ```cpp + // Convert the Bitmap image passed in from the JAVA layer to Mat for OpenCV processing + LiteMat lite_mat_bgr,lite_norm_mat_cut; + + if (!BitmapToLiteMat(env, srcBitmap, lite_mat_bgr)){ + MS_PRINT("BitmapToLiteMat error"); + return NULL; + } + int srcImageWidth = lite_mat_bgr.width_; + int srcImageHeight = lite_mat_bgr.height_; + if(!PreProcessImageData(lite_mat_bgr, lite_norm_mat_cut)){ + MS_PRINT("PreProcessImageData error"); + return NULL; + } + ImgDims inputDims; + inputDims.channel =lite_norm_mat_cut.channel_; + inputDims.width = lite_norm_mat_cut.width_; + inputDims.height = lite_norm_mat_cut.height_; + + // Get the mindsore inference environment which created in loadModel(). + void **labelEnv = reinterpret_cast(netEnv); + if (labelEnv == nullptr) { + MS_PRINT("MindSpore error, labelEnv is a nullptr."); + return NULL; + } + MSNetWork *labelNet = static_cast(*labelEnv); + + auto mSession = labelNet->session; + if (mSession == nullptr) { + MS_PRINT("MindSpore error, Session is a nullptr."); + return NULL; + } + MS_PRINT("MindSpore get session."); + + auto msInputs = mSession->GetInputs(); + auto inTensor = msInputs.front(); + + float *dataHWC = reinterpret_cast(lite_norm_mat_cut.data_ptr_); + // copy input Tensor + memcpy(inTensor->MutableData(), dataHWC, + inputDims.channel * inputDims.width * inputDims.height * sizeof(float)); + delete[] (dataHWC); + ``` + +3. 进行模型推理前，输入tensor格式为 NHWC，shape为1:300:300:3，格式为RGB, 并对输入tensor做标准化处理. + + ```cpp +bool PreProcessImageData(LiteMat &lite_mat_bgr,LiteMat &lite_norm_mat_cut) { + bool ret=false; + LiteMat lite_mat_resize; + ret = ResizeBilinear(lite_mat_bgr, lite_mat_resize, 300, 300); + if (!ret) { + MS_PRINT("ResizeBilinear error"); + return false; + } + LiteMat lite_mat_convert_float; + ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 / 255.0); + if (!ret) { + MS_PRINT("ConvertTo error"); + return false; + } + + float means[3] = {0.485, 0.456, 0.406}; + float vars[3] = {1.0 / 0.229, 1.0 / 0.224, 1.0 / 0.225}; + SubStractMeanNormalize(lite_mat_convert_float, lite_norm_mat_cut, means, vars); + return true; + } + ``` + +4. 对输入Tensor按照模型进行推理，获取输出Tensor，并进行后处理。 + + - 图执行，端测推理。 + + ```cpp + // After the model and image tensor data is loaded, run inference. + auto status = mSession->RunGraph(); + ``` + + - 获取输出数据。 + ```cpp + auto names = mSession->GetOutputTensorNames(); + typedef std::unordered_map> Msout; + std::unordered_map msOutputs; + for (const auto &name : names) { + auto temp_dat =mSession->GetOutputByTensorName(name); + msOutputs.insert(std::pair {name, temp_dat}); + } + std::string retStr = ProcessRunnetResult(msOutputs, ret); + ``` + + - 模型有2个输出，输出1是目标的类别置信度，维度为1：1917: 81； 输出2是目标的矩形框坐标偏移量，维度为1:1917:4。 为了得出目标的实际矩形框，需要根据偏移量计算出矩形框的位置。这部分在 getDefaultBoxes中实现。 + + ```cpp + void SSDModelUtil::getDefaultBoxes() { + float fk[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; + std::vector all_sizes; + struct Product mProductData[19 * 19] = {0}; + + for (int i = 0; i < 6; i++) { + fk[i] = config.model_input_height / config.steps[i]; + } + float scale_rate = + (config.max_scale - config.min_scale) / (sizeof(config.num_default) / sizeof(int) - 1); + float scales[7] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0}; + for (int i = 0; i < sizeof(config.num_default) / sizeof(int); i++) { + scales[i] = config.min_scale + scale_rate * i; + } + + for (int idex = 0; idex < sizeof(config.feature_size) / sizeof(int); idex++) { + float sk1 = scales[idex]; + float sk2 = scales[idex + 1]; + float sk3 = sqrt(sk1 * sk2); + struct WHBox tempWHBox; + + all_sizes.clear(); + + if (idex == 0) { + float w = sk1 * sqrt(2); + float h = sk1 / sqrt(2); + + tempWHBox.boxw = 0.1; + tempWHBox.boxh = 0.1; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + + } else { + tempWHBox.boxw = sk1; + tempWHBox.boxh = sk1; + all_sizes.push_back(tempWHBox); + + for (int j = 0; j < sizeof(config.aspect_ratios[idex]) / sizeof(int); j++) { + float w = sk1 * sqrt(config.aspect_ratios[idex][j]); + float h = sk1 / sqrt(config.aspect_ratios[idex][j]); + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + } + + tempWHBox.boxw = sk3; + tempWHBox.boxh = sk3; + all_sizes.push_back(tempWHBox); + } + + for (int i = 0; i < config.feature_size[idex]; i++) { + for (int j = 0; j < config.feature_size[idex]; j++) { + mProductData[i * config.feature_size[idex] + j].x = i; + mProductData[i * config.feature_size[idex] + j].y = j; + } + } + + int productLen = config.feature_size[idex] * config.feature_size[idex]; + + for (int i = 0; i < productLen; i++) { + for (int j = 0; j < all_sizes.size(); j++) { + struct NormalBox tempBox; + float cx = (mProductData[i].y + 0.5) / fk[idex]; + float cy = (mProductData[i].x + 0.5) / fk[idex]; + tempBox.y = cy; + tempBox.x = cx; + tempBox.h = all_sizes[j].boxh; + tempBox.w = all_sizes[j].boxw; + mDefaultBoxes.push_back(tempBox); + } + } + } + } + ``` + + - 通过最大值抑制将目标类型置信度较高的输出筛选出来。 + + ```cpp + void SSDModelUtil::nonMaximumSuppression(const YXBoxes *const decoded_boxes, + const float *const scores, + const std::vector &in_indexes, + std::vector &out_indexes, const float nmsThreshold, + const int count, const int max_results) { + int nR = 0; //number of results + std::vector del(count, false); + for (size_t i = 0; i < in_indexes.size(); i++) { + if (!del[in_indexes[i]]) { + out_indexes.push_back(in_indexes[i]); + if (++nR == max_results) { + break; + } + for (size_t j = i + 1; j < in_indexes.size(); j++) { + const auto boxi = decoded_boxes[in_indexes[i]], boxj = decoded_boxes[in_indexes[j]]; + float a[4] = {boxi.xmin, boxi.ymin, boxi.xmax, boxi.ymax}; + float b[4] = {boxj.xmin, boxj.ymin, boxj.xmax, boxj.ymax}; + if (IOU(a, b) > nmsThreshold) { + del[in_indexes[j]] = true; + } + } + } + } + } + ``` + + - 对每类的概率大于阈值，通过NMS算法筛选出矩形框后， 还需要将输出的矩形框恢复到原图尺寸。 + + ```cpp + std::string SSDModelUtil::getDecodeResult(float *branchScores, float *branchBoxData) { + std::string result = ""; + NormalBox tmpBox[1917] = {0}; + float mScores[1917][81] = {0}; + float outBuff[1917][7] = {0}; + float scoreWithOneClass[1917] = {0}; + int outBoxNum = 0; + YXBoxes decodedBoxes[1917] = {0}; + + // Copy branch outputs box data to tmpBox. + for (int i = 0; i < 1917; ++i) { + tmpBox[i].y = branchBoxData[i * 4 + 0]; + tmpBox[i].x = branchBoxData[i * 4 + 1]; + tmpBox[i].h = branchBoxData[i * 4 + 2]; + tmpBox[i].w = branchBoxData[i * 4 + 3]; + } + + // Copy branch outputs score to mScores. + for (int i = 0; i < 1917; ++i) { + for (int j = 0; j < 81; ++j) { + mScores[i][j] = branchScores[i * 81 + j]; + } + } + + ssd_boxes_decode(tmpBox, decodedBoxes); + const float nms_threshold = 0.3; + for (int i = 1; i < 81; i++) { + std::vector in_indexes; + for (int j = 0; j < 1917; j++) { + scoreWithOneClass[j] = mScores[j][i]; + // if (mScores[j][i] > 0.1) { + if (mScores[j][i] > g_thres_map[i]) { + in_indexes.push_back(j); + } + } + if (in_indexes.size() == 0) { + continue; + } + + sort(in_indexes.begin(), in_indexes.end(), + [&](int a, int b) { return scoreWithOneClass[a] > scoreWithOneClass[b]; }); + std::vector out_indexes; + + nonMaximumSuppression(decodedBoxes, scoreWithOneClass, in_indexes, out_indexes, + nms_threshold); + for (int k = 0; k < out_indexes.size(); k++) { + outBuff[outBoxNum][0] = out_indexes[k]; //image id + outBuff[outBoxNum][1] = i; //labelid + outBuff[outBoxNum][2] = scoreWithOneClass[out_indexes[k]]; //scores + outBuff[outBoxNum][3] = + decodedBoxes[out_indexes[k]].xmin * inputImageWidth / 300; + outBuff[outBoxNum][4] = + decodedBoxes[out_indexes[k]].ymin * inputImageHeight / 300; + outBuff[outBoxNum][5] = + decodedBoxes[out_indexes[k]].xmax * inputImageWidth / 300; + outBuff[outBoxNum][6] = + decodedBoxes[out_indexes[k]].ymax * inputImageHeight / 300; + outBoxNum++; + } + } + MS_PRINT("outBoxNum %d", outBoxNum); + + for (int i = 0; i < outBoxNum; ++i) { + std::string tmpid_str = std::to_string(outBuff[i][0]); + result += tmpid_str; // image ID + result += "_"; + // tmpid_str = std::to_string(outBuff[i][1]); + MS_PRINT("label_classes i %d, outBuff %d",i, (int) outBuff[i][1]); + tmpid_str = label_classes[(int) outBuff[i][1]]; + result += tmpid_str; // label id + result += "_"; + tmpid_str = std::to_string(outBuff[i][2]); + result += tmpid_str; // scores + result += "_"; + tmpid_str = std::to_string(outBuff[i][3]); + result += tmpid_str; // xmin + result += "_"; + tmpid_str = std::to_string(outBuff[i][4]); + result += tmpid_str; // ymin + result += "_"; + tmpid_str = std::to_string(outBuff[i][5]); + result += tmpid_str; // xmax + result += "_"; + tmpid_str = std::to_string(outBuff[i][6]); + result += tmpid_str; // ymax + result += ";"; + } + return result; + } + ``` + +​ \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/.gitignore b/model_zoo/official/lite/object_detection/app/.gitignore new file mode 100644 index 00000000000..8591057e7d1 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/.gitignore @@ -0,0 +1,3 @@ +/build +/libs +/src/main/cpp/include/ diff --git a/model_zoo/official/lite/object_detection/app/CMakeLists.txt b/model_zoo/official/lite/object_detection/app/CMakeLists.txt new file mode 100644 index 00000000000..c90ce2199a0 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/CMakeLists.txt @@ -0,0 +1,82 @@ +# For more information about using CMake with Android Studio, read the +# documentation: https://d.android.com/studio/projects/add-native-code.html + +# Sets the minimum version of CMake required to build the native library. + +cmake_minimum_required(VERSION 3.4.1) + +set(CMAKE_VERBOSE_MAKEFILE on) +set(CMAKE_LIBRARY_OUTPUT_DIRECTORY ${CMAKE_SOURCE_DIR}/libs/${ANDROID_ABI}) + +set(MINDSPORELITE_VERSION mindspore-lite-0.7.0-minddata-arm64-cpu) + +# ============== Set MindSpore Dependencies. ============= +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp) +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/third_party/flatbuffers/include) +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}) +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include) +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include/ir/dtype) +include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/include/schema) + +#include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/include/ModelUtil) + +add_library(mindspore-lite SHARED IMPORTED ) +add_library(minddata-lite SHARED IMPORTED ) + +set_target_properties(mindspore-lite PROPERTIES IMPORTED_LOCATION + ${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/lib/libmindspore-lite.so) +set_target_properties(minddata-lite PROPERTIES IMPORTED_LOCATION + ${CMAKE_SOURCE_DIR}/src/main/cpp/${MINDSPORELITE_VERSION}/lib/libminddata-lite.so) +# --------------- MindSpore Lite set End. -------------------- + +# Creates and names a library, sets it as either STATIC +# or SHARED, and provides the relative paths to its source code. +# You can define multiple libraries, and CMake builds them for you. +# Gradle automatically packages shared libraries with your APK. + +file(GLOB_RECURSE cpp_src "src/main/cpp/*.cpp" "src/main/cpp/*.h") + +add_library( # Sets the name of the library. + mlkit-label-MS + + # Sets the library as a shared library. + SHARED + + # Provides a relative path to your source file(s). + ${cpp_src}) + + +# Searches for a specified prebuilt library and stores the path as a +# variable. Because CMake includes system libraries in the search path by +# default, you only need to specify the name of the public NDK library +# you want to add. CMake verifies that the library exists before +# completing its build. + +find_library( # Sets the name of the path variable. + log-lib + + # Specifies the name of the NDK library that + # you want CMake to locate. + log ) + + +find_library( jnigraphics-lib jnig·raphics ) + +# Specifies libraries CMake should link to your target library. You +# can link multiple libraries, such as libraries you define in this +# build script, prebuilt third-party libraries, or system libraries. +add_definitions(-DMNN_USE_LOGCAT) +target_link_libraries( # Specifies the target library. + mlkit-label-MS + + # --- mindspore --- + minddata-lite + mindspore-lite + + # --- other dependencies.--- + -ljnigraphics + android + + # Links the target library to the log library + ${log-lib} + ) \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/build.gradle b/model_zoo/official/lite/object_detection/app/build.gradle new file mode 100644 index 00000000000..a7a88d896a3 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/build.gradle @@ -0,0 +1,61 @@ +apply plugin: 'com.android.application' + +// Before gradle build. +// To download some necessary libraries. +apply from:'download.gradle' + +android { + compileSdkVersion 30 + buildToolsVersion "30.0.1" + + defaultConfig { + applicationId "com.mindspore.hiobject" + minSdkVersion 21 + targetSdkVersion 30 + versionCode 1 + versionName "1.0" + + testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner" + externalNativeBuild { + cmake { + arguments "-DANDROID_STL=c++_shared" + cppFlags "" + } + } + ndk { + //abiFilters 'arm64-v8a', 'armeabi-v7a' + abiFilters 'arm64-v8a' + } + } + aaptOptions { +// noCompress '.so', ".tflite", ".mnn", ".cambricon", '.mslite', 'om', 'ms' + noCompress '.so', 'ms' + } + + buildTypes { + release { + minifyEnabled false + proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro' + } + + customDebugType { + debuggable true + } + } + externalNativeBuild { + cmake { + path file('CMakeLists.txt') + } + } + ndkVersion '21.3.6528147' +} + + +dependencies { + implementation fileTree(dir: "libs", include: ["*.jar"]) + implementation 'androidx.appcompat:appcompat:1.1.0' + implementation 'androidx.constraintlayout:constraintlayout:1.1.3' + testImplementation 'junit:junit:4.12' + androidTestImplementation 'androidx.test.ext:junit:1.1.1' + androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0' +} diff --git a/model_zoo/official/lite/object_detection/app/download.gradle b/model_zoo/official/lite/object_detection/app/download.gradle new file mode 100644 index 00000000000..4ce258ce39c --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/download.gradle @@ -0,0 +1,82 @@ +/** + * To download necessary library from HuaWei server. + * Including mindspore-lite .so file, minddata-lite .so file and model file. + * The libraries can be downloaded manually. + */ +def targetMindSporeInclude = "src/main/cpp/" +def mindsporeLite_Version = "mindspore-lite-0.7.0-minddata-arm64-cpu" + +def targetModelFile = "src/main/assets/model/ssd.ms" +def mindSporeLibrary_arm64 = "src/main/cpp/${mindsporeLite_Version}.tar.gz" + +def modelDownloadUrl = "https://download.mindspore.cn/model_zoo/official/lite/ssd_mobilenetv2_lite/ssd.ms" +def mindsporeLiteDownloadUrl = "https://download.mindspore.cn/model_zoo/official/lite/lib/mindspore%20version%201.0/${mindsporeLite_Version}.tar.gz" + +def cleantargetMindSporeInclude = "src/main/cpp" + +task cleanCmakeCache(type: Delete) { + delete '.cxx/cmake/debug' + delete '.cxx/cmake/release' +} + +task downloadModelFile(type: DownloadUrlTask) { + doFirst { + println "Downloading ${modelDownloadUrl}" + } + sourceUrl = "${modelDownloadUrl}" + target = file("${targetModelFile}") +} + +task downloadMindSporeLibrary(type: DownloadUrlTask) { + doFirst { + println "Downloading ${mindsporeLiteDownloadUrl}" + } + sourceUrl = "${mindsporeLiteDownloadUrl}" + target = file("${mindSporeLibrary_arm64}") +} + +task unzipMindSporeInclude(type: Copy, dependsOn: 'downloadMindSporeLibrary') { + doFirst { + println "Unzipping ${mindSporeLibrary_arm64}" + } + from tarTree(resources.gzip("${mindSporeLibrary_arm64}")) + into "${targetMindSporeInclude}" +} + +task cleanUnusedmindsporeFiles(type: Delete, dependsOn: ['unzipMindSporeInclude']) { + delete fileTree("${cleantargetMindSporeInclude}").matching { + include "*.tar.gz" + } +} +/* + * Using preBuild to download mindspore library and model file. + * Run before gradle build. + */ +if (file("src/main/cpp/${mindsporeLite_Version}/lib/libmindspore-lite.so").exists()){ + downloadMindSporeLibrary.enabled = false + unzipMindSporeInclude.enabled = false + cleanUnusedmindsporeFiles.enabled = false +} + +if (file("src/main/assets/model/ssd.ms").exists()){ + downloadModelFile.enabled = false +} + +preBuild.dependsOn cleanCmakeCache +preBuild.dependsOn downloadModelFile +preBuild.dependsOn downloadMindSporeLibrary +preBuild.dependsOn unzipMindSporeInclude +preBuild.dependsOn cleanUnusedmindsporeFiles + +class DownloadUrlTask extends DefaultTask { + @Input + String sourceUrl + + @OutputFile + File target + + @TaskAction + void download() { + ant.get(src: sourceUrl, dest: target) + } +} diff --git a/model_zoo/official/lite/object_detection/app/proguard-rules.pro b/model_zoo/official/lite/object_detection/app/proguard-rules.pro new file mode 100644 index 00000000000..481bb434814 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/proguard-rules.pro @@ -0,0 +1,21 @@ +# Add project specific ProGuard rules here. +# You can control the set of applied configuration files using the +# proguardFiles setting in build.gradle. +# +# For more details, see +# http://developer.android.com/guide/developing/tools/proguard.html + +# If your project uses WebView with JS, uncomment the following +# and specify the fully qualified class name to the JavaScript interface +# class: +#-keepclassmembers class fqcn.of.javascript.interface.for.webview { +# public *; +#} + +# Uncomment this to preserve the line number information for +# debugging stack traces. +#-keepattributes SourceFile,LineNumberTable + +# If you keep the line number information, uncomment this to +# hide the original source file name. +#-renamesourcefileattribute SourceFile \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/androidTest/java/com/mindspore/hiobject/ExampleInstrumentedTest.java b/model_zoo/official/lite/object_detection/app/src/androidTest/java/com/mindspore/hiobject/ExampleInstrumentedTest.java new file mode 100644 index 00000000000..f952634596e --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/androidTest/java/com/mindspore/hiobject/ExampleInstrumentedTest.java @@ -0,0 +1,26 @@ +package com.mindspore.hiobject; + +import android.content.Context; + +import androidx.test.ext.junit.runners.AndroidJUnit4; +import androidx.test.platform.app.InstrumentationRegistry; + +import org.junit.Test; +import org.junit.runner.RunWith; + +import static org.junit.Assert.assertEquals; + +/** + * Instrumented test, which will execute on an Android device. + * + * @see Testing documentation + */ +@RunWith(AndroidJUnit4.class) +public class ExampleInstrumentedTest { + @Test + public void useAppContext() { + // Context of the app under test. + Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext(); + assertEquals("com.huawei.himindsporedemo", appContext.getPackageName()); + } +} \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/main/AndroidManifest.xml b/model_zoo/official/lite/object_detection/app/src/main/AndroidManifest.xml new file mode 100644 index 00000000000..80618396457 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/AndroidManifest.xml @@ -0,0 +1,46 @@ + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.cpp b/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.cpp new file mode 100644 index 00000000000..ea1736e6f48 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.cpp @@ -0,0 +1,55 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "MSNetWork.h" +#include +#include +#include +#include "include/errorcode.h" + +#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__) + +MSNetWork::MSNetWork(void) : session_(nullptr) {} + +MSNetWork::~MSNetWork(void) {} + +void +MSNetWork::CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite::Context *ctx) { + session_ = mindspore::session::LiteSession::CreateSession(ctx); + if (session_ == nullptr) { + MS_PRINT("Create Session failed."); + return; + } + + // Compile model. + auto model = mindspore::lite::Model::Import(modelBuffer, bufferLen); + if (model == nullptr) { + MS_PRINT("Import model failed."); + return; + } + + int ret = session_->CompileGraph(model); + if (ret != mindspore::lite::RET_OK) { + MS_PRINT("CompileGraph failed."); + return; + } +} + +int MSNetWork::ReleaseNets(void) { + delete session_; + return 0; +} + diff --git a/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.h b/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.h new file mode 100644 index 00000000000..9ba12e53fc1 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/cpp/MSNetWork.h @@ -0,0 +1,59 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef MSNETWORK_H +#define MSNETWORK_H + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +struct ImgDims { + int channel = 0; + int width = 0; + int height = 0; +}; + +/*struct SessIterm { + std::shared_ptr sess = nullptr; +};*/ + +class MSNetWork { + public: + MSNetWork(); + + ~MSNetWork(); + + void CreateSessionMS(char *modelBuffer, size_t bufferLen, mindspore::lite::Context *ctx); + + int ReleaseNets(void); + + mindspore::session::LiteSession * session() const { return session_; } + private: + mindspore::session::LiteSession *session_; +}; +#endif diff --git a/model_zoo/official/lite/object_detection/app/src/main/cpp/MindSporeNetnative.cpp b/model_zoo/official/lite/object_detection/app/src/main/cpp/MindSporeNetnative.cpp new file mode 100644 index 00000000000..f47e65b1bcb --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/cpp/MindSporeNetnative.cpp @@ -0,0 +1,269 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include +#include +#include +#include +#include +#include +#include "include/errorcode.h" +#include "include/ms_tensor.h" +#include "MSNetWork.h" +#include "ssd_util/ssd_util.h" +#include "lite_cv/lite_mat.h" +#include "lite_cv/image_process.h" + +using mindspore::dataset::LiteMat; +using mindspore::dataset::LPixelType; +using mindspore::dataset::LDataType; +#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__) + +bool BitmapToLiteMat(JNIEnv *env, const jobject &srcBitmap, LiteMat *lite_mat) { + bool ret = false; + AndroidBitmapInfo info; + void *pixels = nullptr; + LiteMat &lite_mat_bgr = *lite_mat; + AndroidBitmap_getInfo(env, srcBitmap, &info); + if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) { + MS_PRINT("Image Err, Request RGBA"); + return false; + } + AndroidBitmap_lockPixels(env, srcBitmap, &pixels); + if (info.stride == info.width*4) { + ret = InitFromPixel(reinterpret_cast(pixels), + LPixelType::RGBA2RGB, LDataType::UINT8, + info.width, info.height, lite_mat_bgr); + if (!ret) { + MS_PRINT("Init From RGBA error"); + } + } else { + unsigned char *pixels_ptr = new unsigned char[info.width*info.height*4]; + unsigned char *ptr = pixels_ptr; + unsigned char *data = reinterpret_cast(pixels); + for (int i = 0; i < info.height; i++) { + memcpy(ptr, data, info.width*4); + ptr += info.width*4; + data += info.stride; + } + ret = InitFromPixel(reinterpret_cast(pixels_ptr), + LPixelType::RGBA2RGB, LDataType::UINT8, + info.width, info.height, lite_mat_bgr); + if (!ret) { + MS_PRINT("Init From RGBA error"); + } + delete[] (pixels_ptr); + } + AndroidBitmap_unlockPixels(env, srcBitmap); + return ret; +} + +bool PreProcessImageData(const LiteMat &lite_mat_bgr, LiteMat *lite_norm_mat_ptr) { + bool ret = false; + LiteMat lite_mat_resize; + LiteMat &lite_norm_mat_cut = *lite_norm_mat_ptr; + ret = ResizeBilinear(lite_mat_bgr, lite_mat_resize, 300, 300); + if (!ret) { + MS_PRINT("ResizeBilinear error"); + return false; + } + LiteMat lite_mat_convert_float; + ret = ConvertTo(lite_mat_resize, lite_mat_convert_float, 1.0 / 255.0); + if (!ret) { + MS_PRINT("ConvertTo error"); + return false; + } + + float means[3] = {0.485, 0.456, 0.406}; + float vars[3] = {1.0 / 0.229, 1.0 / 0.224, 1.0 / 0.225}; + SubStractMeanNormalize(lite_mat_convert_float, lite_norm_mat_cut, means, vars); + return true; +} + +char *CreateLocalModelBuffer(JNIEnv *env, jobject modelBuffer) { + jbyte *modelAddr = static_cast(env->GetDirectBufferAddress(modelBuffer)); + int modelLen = static_cast(env->GetDirectBufferCapacity(modelBuffer)); + char *buffer(new char[modelLen]); + memcpy(buffer, modelAddr, modelLen); + return buffer; +} + +/** + * + * @param msOutputs Model output, the mindspore inferencing result. + * @param srcImageWidth The width of the original input image. + * @param srcImageHeight The height of the original input image. + * @return + */ +std::string ProcessRunnetResult(std::unordered_map msOutputs, + int srcImageWidth, int srcImageHeight) { + std::unordered_map::iterator iter; + iter = msOutputs.begin(); + auto branch2_string = iter->first; + auto branch2_tensor = iter->second; + + ++iter; + auto branch1_string = iter->first; + auto branch1_tensor = iter->second; + MS_PRINT("%s %s", branch1_string.c_str(), branch2_string.c_str()); + + // ----------- 接口测试 -------------------------- + float *tmpscores2 = reinterpret_cast(branch1_tensor->MutableData()); + float *tmpdata = reinterpret_cast(branch2_tensor->MutableData()); + + // Using ssd model util to process model branch outputs. + SSDModelUtil ssdUtil(srcImageWidth, srcImageHeight); + + std::string retStr = ssdUtil.getDecodeResult(tmpscores2, tmpdata); + MS_PRINT("retStr %s", retStr.c_str()); + + return retStr; +} + +extern "C" JNIEXPORT jlong JNICALL +Java_com_mindspore_hiobject_help_TrackingMobile_loadModel(JNIEnv *env, jobject thiz, + jobject assetManager, + jobject buffer, + jint numThread) { + MS_PRINT("MindSpore so version 20200730"); + if (nullptr == buffer) { + MS_PRINT("error, buffer is nullptr!"); + return (jlong) nullptr; + } + jlong bufferLen = env->GetDirectBufferCapacity(buffer); + MS_PRINT("MindSpore get bufferLen:%d", static_cast(bufferLen)); + if (0 == bufferLen) { + MS_PRINT("error, bufferLen is 0!"); + return (jlong) nullptr; + } + + char *modelBuffer = CreateLocalModelBuffer(env, buffer); + if (modelBuffer == nullptr) { + MS_PRINT("modelBuffer create failed!"); + return (jlong) nullptr; + } + + MS_PRINT("MindSpore loading Model."); + void **labelEnv = new void *; + MSNetWork *labelNet = new MSNetWork; + *labelEnv = labelNet; + + mindspore::lite::Context *context = new mindspore::lite::Context; + context->device_type_ = mindspore::lite::DT_CPU; + context->thread_num_ = numThread; + + labelNet->CreateSessionMS(modelBuffer, bufferLen, context); + delete context; + if (labelNet->session() == nullptr) { + delete labelNet; + delete labelEnv; + MS_PRINT("MindSpore create session failed!."); + return (jlong) nullptr; + } + MS_PRINT("MindSpore create session successfully."); + + if (buffer != nullptr) { + env->DeleteLocalRef(buffer); + } + + if (assetManager != nullptr) { + env->DeleteLocalRef(assetManager); + } + MS_PRINT("ptr released successfully."); + + return (jlong) labelEnv; +} + + +extern "C" JNIEXPORT jstring JNICALL +Java_com_mindspore_hiobject_help_TrackingMobile_runNet(JNIEnv *env, jobject thiz, + jlong netEnv, + jobject srcBitmap) { + LiteMat lite_mat_bgr, lite_norm_mat_cut; + + if (!BitmapToLiteMat(env, srcBitmap, &lite_mat_bgr)) { + MS_PRINT("BitmapToLiteMat error"); + return NULL; + } + int srcImageWidth = lite_mat_bgr.width_; + int srcImageHeight = lite_mat_bgr.height_; + if (!PreProcessImageData(lite_mat_bgr, &lite_norm_mat_cut)) { + MS_PRINT("PreProcessImageData error"); + return NULL; + } + + ImgDims inputDims; + inputDims.channel = lite_norm_mat_cut.channel_; + inputDims.width = lite_norm_mat_cut.width_; + inputDims.height = lite_norm_mat_cut.height_; + + // Get the mindsore inference environment which created in loadModel(). + void **labelEnv = reinterpret_cast(netEnv); + if (labelEnv == nullptr) { + MS_PRINT("MindSpore error, labelEnv is a nullptr."); + return NULL; + } + MSNetWork *labelNet = static_cast(*labelEnv); + + auto mSession = labelNet->session(); + if (mSession == nullptr) { + MS_PRINT("MindSpore error, Session is a nullptr."); + return NULL; + } + MS_PRINT("MindSpore get session."); + + auto msInputs = mSession->GetInputs(); + auto inTensor = msInputs.front(); + float *dataHWC = reinterpret_cast(lite_norm_mat_cut.data_ptr_); + // copy input Tensor + memcpy(inTensor->MutableData(), dataHWC, + inputDims.channel * inputDims.width * inputDims.height * sizeof(float)); + MS_PRINT("MindSpore get msInputs."); + + auto status = mSession->RunGraph(); + if (status != mindspore::lite::RET_OK) { + MS_PRINT("MindSpore runnet error."); + return NULL; + } + + auto names = mSession->GetOutputTensorNames(); + std::unordered_map msOutputs; + for (const auto &name : names) { + auto temp_dat = mSession->GetOutputByTensorName(name); + msOutputs.insert(std::pair {name, temp_dat}); + } + std::string retStr = ProcessRunnetResult(msOutputs, srcImageWidth, srcImageHeight); + const char *resultChardata = retStr.c_str(); + + return (env)->NewStringUTF(resultChardata); +} + + +extern "C" +JNIEXPORT jboolean JNICALL +Java_com_mindspore_hiobject_help_TrackingMobile_unloadModel(JNIEnv *env, + jobject thiz, + jlong netEnv) { + void **labelEnv = reinterpret_cast(netEnv); + MSNetWork *labelNet = static_cast(*labelEnv); + labelNet->ReleaseNets(); + return (jboolean) true; +} + diff --git a/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.cpp b/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.cpp new file mode 100644 index 00000000000..1a7fdb237dc --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.cpp @@ -0,0 +1,293 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include +#include +#include "ssd_util/ssd_util.h" + +#define MS_PRINT(format, ...) __android_log_print(ANDROID_LOG_INFO, "MSJNI", format, ##__VA_ARGS__) + + +/** + * SSD model util constructor. + * @param srcImgWidth The width of the original input image. + * @param srcImgHeight The height of the original input image. + */ +SSDModelUtil::SSDModelUtil(int srcImgWidth, int srcImgHeight) { + inputImageWidth = srcImgWidth; + inputImageHeight = srcImgHeight; + + getDefaultBoxes(); // To fill the vectordefaultboxes. +} + + +std::string SSDModelUtil::getDecodeResult(float *branchScores, float *branchBoxData) { + std::string result = ""; + NormalBox tmpBox[1917] = {0}; + float mScores[1917][81] = {0}; + + float outBuff[1917][7] = {0}; + + float scoreWithOneClass[1917] = {0}; + int outBoxNum = 0; + YXBoxes decodedBoxes[1917] = {0}; + + // Copy branch outputs box data to tmpBox. + for (int i = 0; i < 1917; ++i) { + tmpBox[i].y = branchBoxData[i * 4 + 0]; + tmpBox[i].x = branchBoxData[i * 4 + 1]; + tmpBox[i].h = branchBoxData[i * 4 + 2]; + tmpBox[i].w = branchBoxData[i * 4 + 3]; + } + + // Copy branch outputs score to mScores. + for (int i = 0; i < 1917; ++i) { + for (int j = 0; j < 81; ++j) { + mScores[i][j] = branchScores[i * 81 + j]; + } + } + + // NMS processing. + ssd_boxes_decode(tmpBox, decodedBoxes); + // const float nms_threshold = 0.6; + const float nms_threshold = 0.3; + for (int i = 1; i < 81; i++) { + std::vector in_indexes; + for (int j = 0; j < 1917; j++) { + scoreWithOneClass[j] = mScores[j][i]; + if (mScores[j][i] > g_thres_map[i]) { + in_indexes.push_back(j); + } + } + if (in_indexes.size() == 0) { + continue; + } + + sort(in_indexes.begin(), in_indexes.end(), + [&](int a, int b) { return scoreWithOneClass[a] > scoreWithOneClass[b]; }); + std::vector out_indexes; + + nonMaximumSuppression(decodedBoxes, scoreWithOneClass, in_indexes, &out_indexes, + nms_threshold); + for (int k = 0; k < out_indexes.size(); k++) { + // image id + outBuff[outBoxNum][0] = out_indexes[k]; + // labelid + outBuff[outBoxNum][1] = i; + // scores + outBuff[outBoxNum][2] = scoreWithOneClass[out_indexes[k]]; + outBuff[outBoxNum][3] = + decodedBoxes[out_indexes[k]].xmin * inputImageWidth / 300; + outBuff[outBoxNum][4] = + decodedBoxes[out_indexes[k]].ymin * inputImageHeight / 300; + outBuff[outBoxNum][5] = + decodedBoxes[out_indexes[k]].xmax * inputImageWidth / 300; + outBuff[outBoxNum][6] = + decodedBoxes[out_indexes[k]].ymax * inputImageHeight / 300; + outBoxNum++; + } + } + MS_PRINT("outBoxNum %d", outBoxNum); + + for (int i = 0; i < outBoxNum; ++i) { + std::string tmpid_str = std::to_string(outBuff[i][0]); + result += tmpid_str; + result += "_"; + // tmpid_str = std::to_string(outBuff[i][1]); + MS_PRINT("label_classes i %d, outBuff %d", i, (int) outBuff[i][1]); + tmpid_str = label_classes[static_cast(outBuff[i][1])]; + // label id + result += tmpid_str; + result += "_"; + tmpid_str = std::to_string(outBuff[i][2]); + // scores + result += tmpid_str; + result += "_"; + tmpid_str = std::to_string(outBuff[i][3]); + // xmin + result += tmpid_str; + result += "_"; + tmpid_str = std::to_string(outBuff[i][4]); + // ymin + result += tmpid_str; + result += "_"; + tmpid_str = std::to_string(outBuff[i][5]); + // xmax + result += tmpid_str; + result += "_"; + tmpid_str = std::to_string(outBuff[i][6]); + // ymax + result += tmpid_str; + result += ";"; + } + + return result; +} + +void SSDModelUtil::getDefaultBoxes() { + float fk[6] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0}; + std::vector all_sizes; + struct Product mProductData[19 * 19] = {0}; + + for (int i = 0; i < 6; i++) { + fk[i] = config.model_input_height / config.steps[i]; + } + float scale_rate = + (config.max_scale - config.min_scale) / (sizeof(config.num_default) / sizeof(int) - 1); + float scales[7] = {0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0}; + for (int i = 0; i < sizeof(config.num_default) / sizeof(int); i++) { + scales[i] = config.min_scale + scale_rate * i; + } + + for (int idex = 0; idex < sizeof(config.feature_size) / sizeof(int); idex++) { + float sk1 = scales[idex]; + float sk2 = scales[idex + 1]; + float sk3 = sqrt(sk1 * sk2); + struct WHBox tempWHBox; + + all_sizes.clear(); + + // idex == 0时， len(all_sizes) = 3. + if (idex == 0) { + float w = sk1 * sqrt(2); + float h = sk1 / sqrt(2); + + // all_sizes = [(0.1, 0.1), (w, h), (h, w)] + tempWHBox.boxw = 0.1; + tempWHBox.boxh = 0.1; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + + } else { + // len(all_sizes) = 6. + tempWHBox.boxw = sk1; + tempWHBox.boxh = sk1; + all_sizes.push_back(tempWHBox); + + for (int j = 0; j < sizeof(config.aspect_ratios[idex]) / sizeof(int); j++) { + float w = sk1 * sqrt(config.aspect_ratios[idex][j]); + float h = sk1 / sqrt(config.aspect_ratios[idex][j]); + + tempWHBox.boxw = w; + tempWHBox.boxh = h; + all_sizes.push_back(tempWHBox); + + tempWHBox.boxw = h; + tempWHBox.boxh = w; + all_sizes.push_back(tempWHBox); + } + + tempWHBox.boxw = sk3; + tempWHBox.boxh = sk3; + all_sizes.push_back(tempWHBox); + } + + for (int i = 0; i < config.feature_size[idex]; i++) { + for (int j = 0; j < config.feature_size[idex]; j++) { + mProductData[i * config.feature_size[idex] + j].x = i; + mProductData[i * config.feature_size[idex] + j].y = j; + } + } + + int productLen = config.feature_size[idex] * config.feature_size[idex]; + + for (int i = 0; i < productLen; i++) { + for (int j = 0; j < all_sizes.size(); j++) { + struct NormalBox tempBox; + + float cx = (mProductData[i].y + 0.5) / fk[idex]; + float cy = (mProductData[i].x + 0.5) / fk[idex]; + + tempBox.y = cy; + tempBox.x = cx; + tempBox.h = all_sizes[j].boxh; + tempBox.w = all_sizes[j].boxw; + + mDefaultBoxes.push_back(tempBox); + } + } + } +} + + +void SSDModelUtil::ssd_boxes_decode(const NormalBox *boxes, + YXBoxes *const decoded_boxes, const float scale0, + const float scale1, const int count) { + if (mDefaultBoxes.size() == 0) { + MS_PRINT("get default boxes error."); + return; + } + + for (int i = 0; i < count; ++i) { + float cy = boxes[i].y * scale0 * mDefaultBoxes[i].h + mDefaultBoxes[i].y; + float cx = boxes[i].x * scale0 * mDefaultBoxes[i].w + mDefaultBoxes[i].x; + float h = exp(boxes[i].h * scale1) * mDefaultBoxes[i].h; + float w = exp(boxes[i].w * scale1) * mDefaultBoxes[i].w; + decoded_boxes[i].ymin = std::min(1.0f, std::max(0.0f, cy - h / 2)) * config.model_input_height; + decoded_boxes[i].xmin = std::min(1.0f, std::max(0.0f, cx - w / 2)) * config.model_input_width; + decoded_boxes[i].ymax = std::min(1.0f, std::max(0.0f, cy + h / 2)) * config.model_input_height; + decoded_boxes[i].xmax = std::min(1.0f, std::max(0.0f, cx + w / 2)) * config.model_input_width; + } +} + +void SSDModelUtil::nonMaximumSuppression(const YXBoxes *const decoded_boxes, + const float *const scores, + const std::vector &in_indexes, + std::vector *out_indexes_p, const float nmsThreshold, + const int count, const int max_results) { + int nR = 0; + std::vector &out_indexes = *out_indexes_p; + std::vector del(count, false); + for (size_t i = 0; i < in_indexes.size(); i++) { + if (!del[in_indexes[i]]) { + out_indexes.push_back(in_indexes[i]); + if (++nR == max_results) { + break; + } + for (size_t j = i + 1; j < in_indexes.size(); j++) { + const auto boxi = decoded_boxes[in_indexes[i]], boxj = decoded_boxes[in_indexes[j]]; + float a[4] = {boxi.xmin, boxi.ymin, boxi.xmax, boxi.ymax}; + float b[4] = {boxj.xmin, boxj.ymin, boxj.xmax, boxj.ymax}; + if (IOU(a, b) > nmsThreshold) { + del[in_indexes[j]] = true; + } + } + } + } +} + +double SSDModelUtil::IOU(float r1[4], float r2[4]) { + float x1 = std::max(r1[0], r2[0]); + float y1 = std::max(r1[1], r2[1]); + float x2 = std::min(r1[2], r2[2]); + float y2 = std::min(r1[3], r2[3]); + // if max(min) > min(max), there is no intersection + if (x2 - x1 + 1 <= 0 || y2 - y1 + 1 <= 0) + return 0; + double insect_area = (x2 - x1 + 1) * (y2 - y1 + 1); + double union_area = + (r1[2] - r1[0] + 1) * (r1[3] - r1[1] + 1) + (r2[2] - r2[0] + 1) * (r2[3] - r2[1] + 1) - + insect_area; + double iou = insect_area / union_area; + return (iou > 0) ? iou : 0; +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.h b/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.h new file mode 100644 index 00000000000..8016aef8937 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/cpp/ssd_util/ssd_util.h @@ -0,0 +1,202 @@ +/** + * Copyright 2020 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef HIMINDSPOREDEMO_SSD_UTIL_H +#define HIMINDSPOREDEMO_SSD_UTIL_H + +#include +#include + + +class SSDModelUtil { + public: + // Constructor. + SSDModelUtil(int srcImageWidth, int srcImgHeight); + + /** + * Return the SSD model post-processing result. + * @param branchScores + * @param branchBoxData + * @return + */ + std::string getDecodeResult(float *branchScores, float *branchBoxData); + + // ============= variables =============. + int inputImageHeight; + int inputImageWidth; + + struct NormalBox { + float y; + float x; + float h; + float w; + }; + + struct YXBoxes { + float ymin; + float xmin; + float ymax; + float xmax; + }; + + struct Product { + int x; + int y; + }; + + struct WHBox { + float boxw; + float boxh; + }; + + private: + std::vector mDefaultBoxes; + + + void getDefaultBoxes(); + + void ssd_boxes_decode(const NormalBox *boxes, + YXBoxes *const decoded_boxes, + const float scale0 = 0.1, const float scale1 = 0.2, + const int count = 1917); + + void nonMaximumSuppression(const YXBoxes *const decoded_boxes, const float *const scores, + const std::vector &in_indexes, std::vector *out_indexes_p, + const float nmsThreshold = 0.6, + const int count = 1917, const int max_results = 100); + + double IOU(float r1[4], float r2[4]); + + + // ============= variables =============. + struct network { + int model_input_height = 300; + int model_input_width = 300; + + int num_default[6] = {3, 6, 6, 6, 6, 6}; + int feature_size[6] = {19, 10, 5, 3, 2, 1}; + double min_scale = 0.2; + float max_scale = 0.95; + float steps[6] = {16, 32, 64, 100, 150, 300}; + float prior_scaling[2] = {0.1, 0.2}; + float gamma = 2.0; + float alpha = 0.75; + int aspect_ratios[6][2] = {{2, 0}, + {2, 3}, + {2, 3}, + {2, 3}, + {2, 3}, + {2, 3}}; + } config; + + float g_thres_map[81] = {0, 0.635, 0.627, 0.589, 0.585, 0.648, 0.664, 0.655, + 0.481, 0.529, 0.611, 0.641, 0.774, 0.549, 0.513, 0.652, + 0.552, 0.590, 0.650, 0.575, 0.583, 0.650, 0.656, 0.696, + 0.653, 0.438, 0.515, 0.459, 0.561, 0.545, 0.635, 0.540, + 0.560, 0.721, 0.544, 0.548, 0.511, 0.611, 0.592, 0.542, + 0.512, 0.635, 0.531, 0.437, 0.525, 0.445, 0.484, 0.546, + 0.490, 0.581, 0.566, 0.516, 0.445, 0.541, 0.613, 0.560, + 0.483, 0.509, 0.464, 0.543, 0.538, 0.490, 0.576, 0.617, + 0.577, 0.595, 0.640, 0.585, 0.598, 0.592, 0.514, 0.397, + 0.592, 0.504, 0.548, 0.642, 0.581, 0.497, 0.545, 0.154, + 0.580, + }; + + std::string label_classes[81] = { + {"background"}, + {"human"}, + {"bike"}, + {"automobile"}, + {"motorbike"}, + {"aircraft"}, + {"motorbus"}, + {"train"}, + {"motortruck"}, + {"boat"}, + {"traffic signal"}, + {"fireplug"}, + {"stop sign"}, + {"parking meter"}, + {"seat"}, + {"bird"}, + {"cat"}, + {"dog"}, + {"horse"}, + {"sheep"}, + {"cow"}, + {"elephant"}, + {"bear"}, + {"zebra"}, + {"giraffe"}, + {"knapsack"}, + {"bumbershoot"}, + {"purse"}, + {"neckwear"}, + {"traveling bag"}, + {"frisbee"}, + {"skis"}, + {"snowboard"}, + {"sports ball"}, + {"kite"}, + {"baseball bat"}, + {"baseball glove"}, + {"skateboard"}, + {"surfboard"}, + {"tennis racket"}, + {"bottle"}, + {"wine glass"}, + {"cup"}, + {"fork"}, + {"knife"}, + {"spoon"}, + {"bowl"}, + {"banana"}, + {"apple"}, + {"sandwich"}, + {"orange"}, + {"broccoli"}, + {"carrot"}, + {"hot dog"}, + {"pizza"}, + {"donut"}, + {"cake"}, + {"chair"}, + {"couch"}, + {"houseplant"}, + {"bed"}, + {"dinner table"}, + {"toilet"}, + {"television"}, + {"notebook computer"}, + {"mouse"}, + {"remote"}, + {"keyboard"}, + {"smartphone"}, + {"microwave"}, + {"oven"}, + {"toaster"}, + {"water sink"}, + {"fridge"}, + {"book"}, + {"bell"}, + {"vase"}, + {"shears"}, + {"toy bear"}, + {"hair drier"}, + {"toothbrush"} + }; +}; +#endif diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/SplashActivity.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/SplashActivity.java new file mode 100644 index 00000000000..e5422373982 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/SplashActivity.java @@ -0,0 +1,95 @@ +package com.mindspore.hiobject; + +import android.Manifest; +import android.content.Intent; +import android.os.Bundle; +import android.provider.MediaStore; +import android.view.View; +import android.widget.Button; + +import androidx.annotation.NonNull; +import androidx.annotation.Nullable; +import androidx.appcompat.app.AppCompatActivity; +import androidx.core.app.ActivityCompat; + +import com.mindspore.hiobject.objectdetect.CameraActivity; +import com.mindspore.hiobject.objectdetect.DealDataActivity; +import com.mindspore.hiobject.objectdetect.PhotoActivity; + +public class SplashActivity extends AppCompatActivity implements View.OnClickListener { + + private static final int RC_CHOOSE_PHOTO = 1; + private static final int REQUEST_CAMERA_PERMISSION = 2; + + private Button btnPhoto, btnCamera, btnDealData; + + @Override + protected void onCreate(Bundle savedInstanceState) { + super.onCreate(savedInstanceState); + setContentView(R.layout.activity_splash); + + btnPhoto = findViewById(R.id.btn_photo); + btnCamera = findViewById(R.id.btn_camera); + btnDealData = findViewById(R.id.btn_deal); + btnDealData.setVisibility(View.GONE); + + btnPhoto.setOnClickListener(this); + btnCamera.setOnClickListener(this); + btnDealData.setOnClickListener(this); + + } + + + @Override + public void onClick(View view) { + if (R.id.btn_photo == view.getId()) { + ActivityCompat.requestPermissions(this, + new String[]{Manifest.permission.READ_EXTERNAL_STORAGE, Manifest.permission.WRITE_EXTERNAL_STORAGE, + Manifest.permission.READ_PHONE_STATE}, RC_CHOOSE_PHOTO); + } else if (R.id.btn_camera == view.getId()) { + ActivityCompat.requestPermissions(this, + new String[]{Manifest.permission.READ_EXTERNAL_STORAGE, Manifest.permission.WRITE_EXTERNAL_STORAGE, + Manifest.permission.READ_PHONE_STATE, Manifest.permission.CAMERA}, REQUEST_CAMERA_PERMISSION); + + } else if (R.id.btn_deal == view.getId()) { + Intent intent = new Intent(SplashActivity.this, DealDataActivity.class); + startActivity(intent); + } + } + + /** + * 权限申请结果回调 + */ + @Override + public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) { + if (RC_CHOOSE_PHOTO == requestCode) { + choosePhoto(); + } else if (REQUEST_CAMERA_PERMISSION == requestCode) { + chooseCamera(); + } + } + + + private void choosePhoto() { + Intent intentToPickPic = new Intent(Intent.ACTION_PICK, null); + intentToPickPic.setDataAndType(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, "image/*"); + startActivityForResult(intentToPickPic, RC_CHOOSE_PHOTO); + } + + private void chooseCamera() { + Intent intent = new Intent(SplashActivity.this, CameraActivity.class); + startActivity(intent); + } + + @Override + protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) { + super.onActivityResult(requestCode, resultCode, data); + + if (RC_CHOOSE_PHOTO == requestCode && null != data && null != data.getData()) { + Intent intent = new Intent(SplashActivity.this, PhotoActivity.class); + intent.setData(data.getData()); + startActivity(intent); + } + } +} + diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/ImageDegreeHelper.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/ImageDegreeHelper.java new file mode 100644 index 00000000000..a1df52f05a8 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/ImageDegreeHelper.java @@ -0,0 +1,185 @@ +package com.mindspore.hiobject.help; + +import android.annotation.SuppressLint; +import android.content.ContentUris; +import android.content.Context; +import android.database.Cursor; +import android.graphics.Bitmap; +import android.graphics.Matrix; +import android.media.ExifInterface; +import android.net.Uri; +import android.os.Build; +import android.os.Environment; +import android.provider.DocumentsContract; +import android.provider.MediaStore; + +import java.io.IOException; + +public class ImageDegreeHelper { + /** + * 专为Android4.4及以上设计的从Uri获取文件绝对路径，以前的方法已不好使 + */ + @SuppressLint("NewApi") + public static String getPath(final Context context, final Uri uri) { + + final boolean isKitKat = Build.VERSION.SDK_INT >= Build.VERSION_CODES.KITKAT; + + // DocumentProvider + if (isKitKat && DocumentsContract.isDocumentUri(context, uri)) { + // ExternalStorageProvider + if (isExternalStorageDocument(uri)) { + final String docId = DocumentsContract.getDocumentId(uri); + final String[] split = docId.split(":"); + final String type = split[0]; + + if ("primary".equalsIgnoreCase(type)) { + return Environment.getExternalStorageDirectory() + "/" + split[1]; + } + + // TODO handle non-primary volumes + } + // DownloadsProvider + else if (isDownloadsDocument(uri)) { + + final String id = DocumentsContract.getDocumentId(uri); + final Uri contentUri = ContentUris.withAppendedId( + Uri.parse("content://downloads/public_downloads"), Long.valueOf(id)); + + return getDataColumn(context, contentUri, null, null); + } + // MediaProvider + else if (isMediaDocument(uri)) { + final String docId = DocumentsContract.getDocumentId(uri); + final String[] split = docId.split(":"); + final String type = split[0]; + + Uri contentUri = null; + if ("image".equals(type)) { + contentUri = MediaStore.Images.Media.EXTERNAL_CONTENT_URI; + } else if ("video".equals(type)) { + contentUri = MediaStore.Video.Media.EXTERNAL_CONTENT_URI; + } else if ("audio".equals(type)) { + contentUri = MediaStore.Audio.Media.EXTERNAL_CONTENT_URI; + } + + final String selection = "_id=?"; + final String[] selectionArgs = new String[]{split[1]}; + + return getDataColumn(context, contentUri, selection, selectionArgs); + } + } + // MediaStore (and general) + else if ("content".equalsIgnoreCase(uri.getScheme())) { + return getDataColumn(context, uri, null, null); + } + // File + else if ("file".equalsIgnoreCase(uri.getScheme())) { + return uri.getPath(); + } + + return null; + } + + /** + * Get the value of the data column for this Uri. This is useful for + * MediaStore Uris, and other file-based ContentProviders. + * + * @param context The context. + * @param uri The Uri to query. + * @param selection (Optional) Filter used in the query. + * @param selectionArgs (Optional) Selection arguments used in the query. + * @return The value of the _data column, which is typically a file path. + */ + public static String getDataColumn(Context context, Uri uri, String selection, + String[] selectionArgs) { + + Cursor cursor = null; + final String column = "_data"; + final String[] projection = {column}; + + try { + cursor = context.getContentResolver().query(uri, projection, selection, selectionArgs, + null); + if (cursor != null && cursor.moveToFirst()) { + final int column_index = cursor.getColumnIndexOrThrow(column); + return cursor.getString(column_index); + } + } finally { + if (cursor != null) + cursor.close(); + } + return null; + } + + /** + * @param uri The Uri to check. + * @return Whether the Uri authority is ExternalStorageProvider. + */ + public static boolean isExternalStorageDocument(Uri uri) { + return "com.android.externalstorage.documents".equals(uri.getAuthority()); + } + + /** + * @param uri The Uri to check. + * @return Whether the Uri authority is DownloadsProvider. + */ + public static boolean isDownloadsDocument(Uri uri) { + return "com.android.providers.downloads.documents".equals(uri.getAuthority()); + } + + /** + * @param uri The Uri to check. + * @return Whether the Uri authority is MediaProvider. + */ + public static boolean isMediaDocument(Uri uri) { + return "com.android.providers.media.documents".equals(uri.getAuthority()); + } + + /** + * 读取照片旋转角度 + * + * @param path 照片路径 + * @return 角度 + */ + public static int readPictureDegree(String path) { + int degree = 0; + try { + ExifInterface exifInterface = new ExifInterface(path); + int orientation = exifInterface.getAttributeInt(ExifInterface.TAG_ORIENTATION, ExifInterface.ORIENTATION_NORMAL); + switch (orientation) { + case ExifInterface.ORIENTATION_ROTATE_90: + degree = 90; + break; + case ExifInterface.ORIENTATION_ROTATE_180: + degree = 180; + break; + case ExifInterface.ORIENTATION_ROTATE_270: + degree = 270; + break; + } + } catch (IOException e) { + e.printStackTrace(); + } + return degree; + } + + + public static Bitmap rotaingImageView(int angle, Bitmap bitmap) { + Bitmap returnBm = null; + // 根据旋转角度，生成旋转矩阵 + Matrix matrix = new Matrix(); + matrix.postRotate(angle); + try { + // 将原始图片按照旋转矩阵进行旋转，并得到新的图片 + returnBm = Bitmap.createBitmap(bitmap, 0, 0, bitmap.getWidth(), bitmap.getHeight(), matrix, true); + } catch (OutOfMemoryError e) { + } + if (returnBm == null) { + returnBm = bitmap; + } + if (bitmap != returnBm) { + bitmap.recycle(); + } + return returnBm; + } +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/RecognitionObjectBean.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/RecognitionObjectBean.java new file mode 100644 index 00000000000..2afcf351291 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/RecognitionObjectBean.java @@ -0,0 +1,159 @@ +package com.mindspore.hiobject.help; + +import android.text.TextUtils; + +import java.util.ArrayList; +import java.util.List; + +public class RecognitionObjectBean { + private String rectID; + private String imgID; + private String objectName; + private float score; + private float left; + private float top; + private float right; + private float bottom; + + private RecognitionObjectBean(Builder builder){ + this.rectID = builder.rectID; + this.imgID = builder.imgID; + this.objectName = builder.objectName; + this.score = builder.score; + this.left = builder.left; + this.top = builder.top; + this.right = builder.right; + this.bottom = builder.bottom; + } + + + public static class Builder { + private String rectID; + private String imgID; + private String objectName; + private float score; + private float left; + private float top; + private float right; + private float bottom; + + public RecognitionObjectBean build(){ + return new RecognitionObjectBean(this); + } + + public Builder setRectID(String rectID) { + this.rectID = rectID; + return this; + } + + public Builder setImgID(String imgID) { + this.imgID = imgID; + return this; + } + + public Builder setObjectName(String objectName) { + this.objectName = objectName; + return this; + } + + public Builder setScore(float score) { + this.score = score; + return this; + } + + public Builder setLeft(float left) { + this.left = left; + return this; + } + + public Builder setTop(float top) { + this.top = top; + return this; + } + + public Builder setRight(float right) { + this.right = right; + return this; + } + + public Builder setBottom(float bottom) { + this.bottom = bottom; + return this; + } + } + + + public String getImgID() { + return imgID; + } + + public String getRectID() { + return rectID; + } + + public String getObjectName() { + return objectName; + } + + public float getScore() { + return score; + } + + public float getLeft() { + return left; + } + + public float getTop() { + return top; + } + + public float getRight() { + return right; + } + + public float getBottom() { + return bottom; + } + + + public static List getRecognitionList(String result) { + if (!TextUtils.isEmpty(result)) { + String[] resultArray = result.split(";"); + List list = new ArrayList<>(); + for (int i = 0; i < resultArray.length; i++) { + String singleRecognitionResult = resultArray[i]; + String[] singleResult = singleRecognitionResult.split("_"); + RecognitionObjectBean bean = new RecognitionObjectBean.Builder() + .setRectID(String.valueOf(i + 1)) + .setImgID(null != getData(0, singleResult) ? getData(0, singleResult) : "") + .setObjectName(null != getData(1, singleResult) ? getData(1, singleResult) : "") + .setScore(null != getData(2, singleResult) ? Float.parseFloat(getData(2, singleResult)) : 0) + .setLeft(null != getData(3, singleResult) ? Float.parseFloat(getData(3, singleResult)) : 0) + .setTop(null != getData(4, singleResult) ? Float.parseFloat(getData(4, singleResult)) : 0) + .setRight(null != getData(5, singleResult) ? Float.parseFloat(getData(5, singleResult)) : 0) + .setBottom(null != getData(6, singleResult) ? Float.parseFloat(getData(6, singleResult)) : 0) + .build(); + list.add(bean); + } + return list; + } else { + return null; + } + } + + /** + * @param index + * @param singleResult + * @return + */ + private static String getData(int index, String[] singleResult) { + if (index > singleResult.length) { + return null; + } else { + if (!TextUtils.isEmpty(singleResult[index])) { + return singleResult[index]; + } + } + return null; + } +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/TrackingMobile.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/TrackingMobile.java new file mode 100644 index 00000000000..35b38a0914f --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/help/TrackingMobile.java @@ -0,0 +1,118 @@ +package com.mindspore.hiobject.help; + +import android.content.Context; +import android.content.res.AssetManager; +import android.graphics.Bitmap; +import android.util.Log; + +import java.io.FileNotFoundException; +import java.io.InputStream; +import java.nio.ByteBuffer; +import java.util.HashMap; + +public class TrackingMobile { + private final static String TAG = "TrackingMobile"; + + static { + try { + System.loadLibrary("mlkit-label-MS"); + Log.i(TAG, "load libiMindSpore.so successfully."); + } catch (UnsatisfiedLinkError e) { + Log.e(TAG, "UnsatisfiedLinkError " + e.getMessage()); + } + } + + public static HashMap synset_words_map = new HashMap<>(); + + public static float[] threshold = new float[494]; + + private long netEnv = 0; + + private final Context mActivity; + + public TrackingMobile(Context activity) throws FileNotFoundException { + this.mActivity = activity; + } + + /** + * jni加载模型 + * + * @param assetManager assetManager + * @param buffer buffer + * @param numThread numThread + * @return 加载模型数据 + */ + public native long loadModel(AssetManager assetManager, ByteBuffer buffer, int numThread); + + /** + * jni运行模型 + * + * @param netEnv 加载模型数据 + * @param img 当前图片 + * @return 运行模型数据 + */ + public native String runNet(long netEnv, Bitmap img); + + /** + * 解绑模型数据 + * + * @param netEnv 模型数据 + * @return 解绑状态 + */ + public native boolean unloadModel(long netEnv); + + /** + * C++侧封装成了MSNetWorks类的方法 + * + * @param assetManager 模型文件位置 + * @return 加载模型文件状态 + */ + public boolean loadModelFromBuf(AssetManager assetManager) { +// String ModelPath = "model/model_hebing_3branch.ms"; + String ModelPath = "model/ssd.ms"; + + ByteBuffer buffer = loadModelFile(ModelPath); + netEnv = loadModel(assetManager, buffer, 2); + return true; + } + + /** + * 运行Mindspore + * + * @param img 当前图片识别 + * @return 识别出来的文字信息 + */ + public String MindSpore_runnet(Bitmap img) { + String ret_str = runNet(netEnv, img); + return ret_str; + } + + /** + * 解绑模型 + * @return true + */ + public boolean unloadModel() { + unloadModel(netEnv); + return true; + } + + /** + * 加载模型文件流 + * @param modelPath 模型文件路径 + * @return 加载模型文件流 + */ + public ByteBuffer loadModelFile(String modelPath) { + InputStream is = null; + try { + is = mActivity.getAssets().open(modelPath); + byte[] bytes = new byte[is.available()]; + is.read(bytes); + return ByteBuffer.allocateDirect(bytes.length).put(bytes); + } catch (Exception e) { + Log.d("loadModelFile", " Exception occur "); + e.printStackTrace(); + } + return null; + } + +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/AutoFitTextureView.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/AutoFitTextureView.java new file mode 100644 index 00000000000..b40d886636d --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/AutoFitTextureView.java @@ -0,0 +1,78 @@ +/* + * Copyright 2014 The Android Open Source Project + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package com.mindspore.hiobject.objectdetect; + +import android.content.Context; +import android.util.AttributeSet; +import android.view.TextureView; + +/** + * A {@link TextureView} that can be adjusted to a specified aspect ratio. + */ +public class AutoFitTextureView extends TextureView { + + private int mRatioWidth = 0; + private int mRatioHeight = 0; + + public AutoFitTextureView(Context context) { + this(context, null); + } + + public AutoFitTextureView(Context context, AttributeSet attrs) { + this(context, attrs, 0); + } + + public AutoFitTextureView(Context context, AttributeSet attrs, int defStyle) { + super(context, attrs, defStyle); + } + + /** + * Sets the aspect ratio for this view. The size of the view will be measured based on the ratio + * calculated from the parameters. Note that the actual sizes of parameters don't matter, that + * is, calling setAspectRatio(2, 3) and setAspectRatio(4, 6) make the same result. + * + * @param width Relative horizontal size + * @param height Relative vertical size + */ + public void setAspectRatio(int width, int height) { + if (width < 0 || height < 0) { + throw new IllegalArgumentException("Size cannot be negative."); + } + mRatioWidth = width; + mRatioHeight = height; + requestLayout(); + } + + @Override + protected void onMeasure(int widthMeasureSpec, int heightMeasureSpec) { + super.onMeasure(widthMeasureSpec, heightMeasureSpec); + int width = MeasureSpec.getSize(widthMeasureSpec); + int height = MeasureSpec.getSize(heightMeasureSpec); + if (0 == mRatioWidth || 0 == mRatioHeight) { + setMeasuredDimension(width, height); + } else { + if (width > height * mRatioWidth / mRatioHeight) { + setMeasuredDimension(width, width * mRatioHeight / mRatioWidth); + } else { + setMeasuredDimension(height * mRatioWidth / mRatioHeight, height); + } + } + } + + + +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraActivity.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraActivity.java new file mode 100644 index 00000000000..68c75794df9 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraActivity.java @@ -0,0 +1,48 @@ +package com.mindspore.hiobject.objectdetect; + +import android.os.Bundle; +import android.view.WindowManager; + +import androidx.appcompat.app.AppCompatActivity; + +import com.mindspore.hiobject.R; + +/** + * [入口主页面] + * + * 向JNI传入图片，测试MindSpore模型加载推理等. + */ + +public class CameraActivity extends AppCompatActivity { + + private final String TAG = "CameraActivity"; + private static final String BUNDLE_FRAGMENTS_KEY = "android:support:fragments"; + + + @Override + protected void onCreate(Bundle savedInstanceState) { + super.onCreate(savedInstanceState); + setContentView(R.layout.activity_camera); + + if (savedInstanceState != null && this.clearFragmentsTag()) { + // 重建时清除 fragment的状态 + savedInstanceState.remove(BUNDLE_FRAGMENTS_KEY); + } + + getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON); + getSupportFragmentManager().beginTransaction().replace(R.id.container, CameraFragment.newInstance()).commit(); + } + + @Override + protected void onSaveInstanceState(Bundle outState) { + super.onSaveInstanceState(outState); + if (outState != null && this.clearFragmentsTag()) { + // 销毁时不保存fragment的状态 + outState.remove(BUNDLE_FRAGMENTS_KEY); + } + } + + protected boolean clearFragmentsTag() { + return true; + } +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraFragment.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraFragment.java new file mode 100644 index 00000000000..611422cd136 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/CameraFragment.java @@ -0,0 +1,899 @@ + +package com.mindspore.hiobject.objectdetect; + +import android.annotation.SuppressLint; +import android.app.Activity; +import android.app.AlertDialog; +import android.app.Dialog; +import android.content.Context; +import android.content.DialogInterface; +import android.content.res.Configuration; +import android.graphics.Bitmap; +import android.graphics.ImageFormat; +import android.graphics.Matrix; +import android.graphics.Point; +import android.graphics.RectF; +import android.graphics.SurfaceTexture; +import android.hardware.camera2.CameraAccessException; +import android.hardware.camera2.CameraCaptureSession; +import android.hardware.camera2.CameraCharacteristics; +import android.hardware.camera2.CameraDevice; +import android.hardware.camera2.CameraManager; +import android.hardware.camera2.CameraMetadata; +import android.hardware.camera2.CaptureRequest; +import android.hardware.camera2.CaptureResult; +import android.hardware.camera2.TotalCaptureResult; +import android.hardware.camera2.params.StreamConfigurationMap; +import android.media.Image; +import android.media.ImageReader; +import android.os.Bundle; +import android.os.Handler; +import android.os.HandlerThread; +import android.text.TextUtils; +import android.util.Log; +import android.util.Size; +import android.util.SparseIntArray; +import android.view.LayoutInflater; +import android.view.Surface; +import android.view.TextureView; +import android.view.View; +import android.view.ViewGroup; +import android.widget.Toast; + +import androidx.annotation.NonNull; +import androidx.fragment.app.DialogFragment; +import androidx.fragment.app.Fragment; + +import com.mindspore.hiobject.R; +import com.mindspore.hiobject.help.RecognitionObjectBean; +import com.mindspore.hiobject.help.TrackingMobile; + +import java.io.FileNotFoundException; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.Comparator; +import java.util.List; +import java.util.concurrent.Semaphore; +import java.util.concurrent.TimeUnit; + +import static com.mindspore.hiobject.help.RecognitionObjectBean.getRecognitionList; + + +public class CameraFragment extends Fragment { + + /** + * Conversion from screen rotation to JPEG orientation. + */ + private static final SparseIntArray ORIENTATIONS = new SparseIntArray(); + private static final String FRAGMENT_DIALOG = "dialog"; + + static { + ORIENTATIONS.append(Surface.ROTATION_0, 90); + ORIENTATIONS.append(Surface.ROTATION_90, 0); + ORIENTATIONS.append(Surface.ROTATION_180, 270); + ORIENTATIONS.append(Surface.ROTATION_270, 180); + } + + /** + * Tag for the {@link Log}. + */ + private static final String TAG = "CameraFragment"; + + /** + * Camera state: Showing ic_launcher preview. + */ + private static final int STATE_PREVIEW = 0; + + /** + * Camera state: Waiting for the focus to be locked. + */ + private static final int STATE_WAITING_LOCK = 1; + + /** + * Camera state: Waiting for the exposure to be precapture state. + */ + private static final int STATE_WAITING_PRECAPTURE = 2; + + /** + * Camera state: Waiting for the exposure state to be something other than precapture. + */ + private static final int STATE_WAITING_NON_PRECAPTURE = 3; + + /** + * Camera state: Picture was taken. + */ + private static final int STATE_PICTURE_TAKEN = 4; + + /** + * Max preview width that is guaranteed by Camera2 API + */ + private static final int MAX_PREVIEW_WIDTH = 1920; + + /** + * Max preview height that is guaranteed by Camera2 API + */ + private static final int MAX_PREVIEW_HEIGHT = 1080; + + /** + * {@link TextureView.SurfaceTextureListener} handles several lifecycle events on a + * {@link TextureView}. + */ + private final TextureView.SurfaceTextureListener mSurfaceTextureListener = new TextureView.SurfaceTextureListener() { + + @Override + public void onSurfaceTextureAvailable(SurfaceTexture texture, int width, int height) { + openCamera(width, height); + } + + @Override + public void onSurfaceTextureSizeChanged(SurfaceTexture texture, int width, int height) { + configureTransform(width, height); + } + + @Override + public boolean onSurfaceTextureDestroyed(SurfaceTexture texture) { + return true; + } + + @Override + public void onSurfaceTextureUpdated(SurfaceTexture texture) { + } + + }; + + /** + * ID of the current {@link CameraDevice}. + */ + private String mCameraId; + + /** + * An {@link AutoFitTextureView} for ic_launcher preview. + */ + private AutoFitTextureView mTextureView; + + /** + * An {@link ObjectRectView} for Object_draw_Rect_view. + */ + private ObjectRectView mObjectRectView; + + /** + * A {@link CameraCaptureSession } for ic_launcher preview. + */ + private CameraCaptureSession mCaptureSession; + + /** + * A reference to the opened {@link CameraDevice}. + */ + private CameraDevice mCameraDevice; + + /** + * The {@link Size} of ic_launcher preview. + */ + private Size mPreviewSize; + + + /** + * {@link CameraDevice.StateCallback} is called when {@link CameraDevice} changes its state. + */ + private final CameraDevice.StateCallback mStateCallback = new CameraDevice.StateCallback() { + + @Override + public void onOpened(@NonNull CameraDevice cameraDevice) { + // This method is called when the ic_launcher is opened. We start ic_launcher preview here. + mCameraOpenCloseLock.release(); + mCameraDevice = cameraDevice; + createCameraPreviewSession(); + } + + @Override + public void onDisconnected(@NonNull CameraDevice cameraDevice) { + mCameraOpenCloseLock.release(); + cameraDevice.close(); + mCameraDevice = null; + } + + @Override + public void onError(@NonNull CameraDevice cameraDevice, int error) { + mCameraOpenCloseLock.release(); + cameraDevice.close(); + mCameraDevice = null; + if (null != getActivity()) { + getActivity().finish(); + } + } + + }; + + /** + * An additional thread for running tasks that shouldn't block the UI. + */ + private HandlerThread mBackgroundThread, mPreBackgroundThread; + + /** + * A {@link Handler} for running tasks in the background. + */ + private Handler mBackgroundHandler, mPreBackgroundHandler; + + /** + * An {@link ImageReader} that handles still image capture. + */ + private ImageReader mImageReader; + + + /*** + * A {@link TrackingMobile} for data tracking + */ + private TrackingMobile mTrackingMobile; + + /** + * This a callback object for the {@link ImageReader}. "onImageAvailable" will be called when a + * still image is ready to be saved. + */ + private final ImageReader.OnImageAvailableListener mOnImageAvailableListener = new ImageReader.OnImageAvailableListener() { + + @Override + public void onImageAvailable(ImageReader reader) { + try { + Image image = reader.acquireNextImage(); + image.close(); + } catch (Exception e) { + Log.e(TAG, "onImageAvailable: " + e.toString()); + } + } + }; + /** + * {@link CaptureRequest.Builder} for the ic_launcher preview + */ + private CaptureRequest.Builder mPreviewRequestBuilder; + + /** + * {@link CaptureRequest} generated by {@link #mPreviewRequestBuilder} + */ + private CaptureRequest mPreviewRequest; + + /** + * The current state of ic_launcher state for taking pictures. + * + * @see #mCaptureCallback + */ + private int mState = STATE_PREVIEW; + + /** + * A {@link Semaphore} to prevent the app from exiting before closing the ic_launcher. + */ + private Semaphore mCameraOpenCloseLock = new Semaphore(1); + + /** + * Whether the current ic_launcher device supports Flash or not. + */ + private boolean mFlashSupported; + + /** + * Orientation of the ic_launcher sensor + */ + private int mSensorOrientation; + + /** + * A {@link CameraCaptureSession.CaptureCallback} that handles events related to JPEG capture. + */ + private CameraCaptureSession.CaptureCallback mCaptureCallback = new CameraCaptureSession.CaptureCallback() { + + private void process(CaptureResult result) { + switch (mState) { + case STATE_PREVIEW: { + // We have nothing to do when the ic_launcher preview is working normally. + break; + } + case STATE_WAITING_LOCK: { + Integer afState = result.get(CaptureResult.CONTROL_AF_STATE); + if (afState == null) { + captureStillPicture(); + } else if (CaptureResult.CONTROL_AF_STATE_FOCUSED_LOCKED == afState || + CaptureResult.CONTROL_AF_STATE_NOT_FOCUSED_LOCKED == afState) { + // CONTROL_AE_STATE can be null on some devices + Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE); + if (aeState == null || + aeState == CaptureResult.CONTROL_AE_STATE_CONVERGED) { + mState = STATE_PICTURE_TAKEN; + captureStillPicture(); + } else { + runPrecaptureSequence(); + } + } + break; + } + case STATE_WAITING_PRECAPTURE: { + // CONTROL_AE_STATE can be null on some devices + Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE); + if (aeState == null || + aeState == CaptureResult.CONTROL_AE_STATE_PRECAPTURE || + aeState == CaptureRequest.CONTROL_AE_STATE_FLASH_REQUIRED) { + mState = STATE_WAITING_NON_PRECAPTURE; + } + break; + } + case STATE_WAITING_NON_PRECAPTURE: { + // CONTROL_AE_STATE can be null on some devices + Integer aeState = result.get(CaptureResult.CONTROL_AE_STATE); + if (aeState == null || aeState != CaptureResult.CONTROL_AE_STATE_PRECAPTURE) { + mState = STATE_PICTURE_TAKEN; + captureStillPicture(); + } + break; + } + } + } + + @Override + public void onCaptureProgressed(@NonNull CameraCaptureSession session, + @NonNull CaptureRequest request, + @NonNull CaptureResult partialResult) { + process(partialResult); + } + + @Override + public void onCaptureCompleted(@NonNull CameraCaptureSession session, + @NonNull CaptureRequest request, + @NonNull TotalCaptureResult result) { + process(result); + } + + }; + + + /** + * Given {@code choices} of {@code Size}s supported by a ic_launcher, choose the smallest one that + * is at least as large as the respective texture view size, and that is at most as large as the + * respective max size, and whose aspect ratio matches with the specified value. If such size + * doesn't exist, choose the largest one that is at most as large as the respective max size, + * and whose aspect ratio matches with the specified value. + * + * @param choices The list of sizes that the ic_launcher supports for the intended output + * class + * @param textureViewWidth The width of the texture view relative to sensor coordinate + * @param textureViewHeight The height of the texture view relative to sensor coordinate + * @param maxWidth The maximum width that can be chosen + * @param maxHeight The maximum height that can be chosen + * @param aspectRatio The aspect ratio + * @return The optimal {@code Size}, or an arbitrary one if none were big enough + */ + private static Size chooseOptimalSize(Size[] choices, int textureViewWidth, int textureViewHeight, int maxWidth, int maxHeight, Size aspectRatio) { + + // Collect the supported resolutions that are at least as big as the preview Surface + List bigEnough = new ArrayList<>(); + // Collect the supported resolutions that are smaller than the preview Surface + List notBigEnough = new ArrayList<>(); + int w = aspectRatio.getWidth(); + int h = aspectRatio.getHeight(); + for (Size option : choices) { + if (option.getWidth() <= maxWidth && option.getHeight() <= maxHeight && option.getHeight() == option.getWidth() * h / w) { +// if (option.getWidth() <= maxWidth && option.getHeight() <= maxHeight) { + if (option.getWidth() >= textureViewWidth && option.getHeight() >= textureViewHeight) { + bigEnough.add(option); + } else { + notBigEnough.add(option); + } + } + } + + // Pick the smallest of those big enough. If there is no one big enough, pick the + // largest of those not big enough. + if (bigEnough.size() > 0) { + return Collections.min(bigEnough, new CompareSizesByArea()); + } else if (notBigEnough.size() > 0) { + return Collections.max(notBigEnough, new CompareSizesByArea()); + } else { + Log.e(TAG, "Couldn't find any suitable preview size"); + return choices[0]; + } + } + + + public static CameraFragment newInstance() { + return new CameraFragment(); + } + + @Override + public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState) { + return inflater.inflate(R.layout.fragment_camera, container, false); + } + + + @Override + public void onViewCreated(final View view, Bundle savedInstanceState) { + mTextureView = view.findViewById(R.id.texture); + mObjectRectView = view.findViewById(R.id.objRectView); + } + + @Override + public void onDetach() { + super.onDetach(); + if (mTrackingMobile != null) { + mTrackingMobile.unloadModel(); + } + } + + @Override + public void onActivityCreated(Bundle savedInstanceState) { + super.onActivityCreated(savedInstanceState); + try { + mTrackingMobile = new TrackingMobile(getActivity()); + } catch (FileNotFoundException e) { + e.printStackTrace(); + } + boolean ret = mTrackingMobile.loadModelFromBuf(getActivity().getAssets()); + Log.d(TAG, "TrackingMobile loadModelFromBuf: " + ret); + } + + + @Override + public void onResume() { + super.onResume(); + initChildThread(); + // When the screen is turned off and turned back on, the SurfaceTexture is already + // available, and "onSurfaceTextureAvailable" will not be called. In that case, we can open + // a ic_launcher and start preview from here (otherwise, we wait until the surface is ready in + // the SurfaceTextureListener). + if (mTextureView.isAvailable()) { + openCamera(mTextureView.getWidth(), mTextureView.getHeight()); + Log.d(TAG, "isAvailable: " + mTextureView.getWidth() + "--" + mTextureView.getHeight()); + } else { + Log.d(TAG, "notAvailable: " + mTextureView.getWidth() + "--" + mTextureView.getHeight()); + mTextureView.setSurfaceTextureListener(mSurfaceTextureListener); + } + + } + + @Override + public void onPause() { + closeCamera(); + stopBackgroundThread(); + super.onPause(); + } + + + /** + * Sets up member variables related to ic_launcher. + * + * @param width The width of available size for ic_launcher preview + * @param height The height of available size for ic_launcher preview + */ + @SuppressWarnings("SuspiciousNameCombination") + private void setUpCameraOutputs(int width, int height) { + CameraManager manager = (CameraManager) getActivity().getSystemService(Context.CAMERA_SERVICE); + try { + for (String cameraId : manager.getCameraIdList()) { + CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraId); + + // We don't use a front facing ic_launcher in this sample. + Integer facing = characteristics.get(CameraCharacteristics.LENS_FACING); + if (facing != null && facing == CameraCharacteristics.LENS_FACING_FRONT) { + continue; + } + + StreamConfigurationMap map = characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP); + if (map == null) { + continue; + } + + // For still image captures, we use the largest available size. + Size largest = Collections.max(Arrays.asList(map.getOutputSizes(ImageFormat.JPEG)), new CompareSizesByArea()); + //TODO 设置输出图片 + mImageReader = ImageReader.newInstance(width, height, ImageFormat.JPEG, /*maxImages*/30); + mImageReader.setOnImageAvailableListener(mOnImageAvailableListener, mBackgroundHandler); + + // Find out if we need to swap dimension to get the preview size relative to sensor coordinate. + int displayRotation = getActivity().getWindowManager().getDefaultDisplay().getRotation(); + Log.d("displayRotation", "displayRotation: " + displayRotation); + //noinspection ConstantConditions + mSensorOrientation = characteristics.get(CameraCharacteristics.SENSOR_ORIENTATION); + boolean swappedDimensions = false; + switch (displayRotation) { + case Surface.ROTATION_0: + case Surface.ROTATION_180: + if (mSensorOrientation == 90 || mSensorOrientation == 270) { + swappedDimensions = true; + } + break; + case Surface.ROTATION_90: + case Surface.ROTATION_270: + if (mSensorOrientation == 0 || mSensorOrientation == 180) { + swappedDimensions = true; + } + break; + default: + Log.e(TAG, "Display rotation is invalid: " + displayRotation); + } + + Point displaySize = new Point(); + getActivity().getWindowManager().getDefaultDisplay().getSize(displaySize); + int rotatedPreviewWidth = width; + int rotatedPreviewHeight = height; + int maxPreviewWidth = displaySize.x; + int maxPreviewHeight = displaySize.y; + + if (swappedDimensions) { + rotatedPreviewWidth = height; + rotatedPreviewHeight = width; + maxPreviewWidth = displaySize.y; + maxPreviewHeight = displaySize.x; + } + + if (maxPreviewWidth > MAX_PREVIEW_WIDTH) { + maxPreviewWidth = MAX_PREVIEW_WIDTH; + } + + if (maxPreviewHeight > MAX_PREVIEW_HEIGHT) { + maxPreviewHeight = MAX_PREVIEW_HEIGHT; + } + + // Danger, W.R.! Attempting to use too large a preview size could exceed the ic_launcher + // bus' bandwidth limitation, resulting in gorgeous previews but the storage of + // garbage capture data. + mPreviewSize = chooseOptimalSize(map.getOutputSizes(SurfaceTexture.class), rotatedPreviewWidth, rotatedPreviewHeight, maxPreviewWidth, maxPreviewHeight, largest); + // We fit the aspect ratio of TextureView to the size of preview we picked. + int orientation = getResources().getConfiguration().orientation;//manifest中方向已经写死 + if (orientation == Configuration.ORIENTATION_LANDSCAPE) { + mTextureView.setAspectRatio(mPreviewSize.getWidth(), mPreviewSize.getHeight()); + } else { + mTextureView.setAspectRatio(mPreviewSize.getHeight(), mPreviewSize.getWidth()); + } + // Check if the flash is supported. + Boolean available = characteristics.get(CameraCharacteristics.FLASH_INFO_AVAILABLE); + mFlashSupported = available == null ? false : available; + + mCameraId = cameraId; + return; + } + } catch (CameraAccessException e) { + e.printStackTrace(); + } catch (NullPointerException e) { + // Currently an NPE is thrown when the Camera2API is used but not supported on the + // device this code runs. + ErrorDialog.newInstance(getString(R.string.camera_error)).show(getChildFragmentManager(), FRAGMENT_DIALOG); + } + } + + /** + * Opens the ic_launcher specified by {@link CameraFragment#mCameraId}. + */ + @SuppressLint("MissingPermission") + private void openCamera(int width, int height) { + setUpCameraOutputs(width, height); + configureTransform(width, height); + Activity activity = getActivity(); + CameraManager manager = (CameraManager) activity.getSystemService(Context.CAMERA_SERVICE); + try { + if (!mCameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) { + throw new RuntimeException("Time out waiting to lock ic_launcher opening."); + } + manager.openCamera(mCameraId, mStateCallback, mBackgroundHandler); + } catch (CameraAccessException e) { + e.printStackTrace(); + } catch (InterruptedException e) { + throw new RuntimeException("Interrupted while trying to lock ic_launcher opening.", e); + } + } + + /** + * Closes the current {@link CameraDevice}. + */ + private void closeCamera() { + try { + mCameraOpenCloseLock.acquire(); + if (null != mCaptureSession) { + mCaptureSession.close(); + mCaptureSession = null; + } + if (null != mCameraDevice) { + mCameraDevice.close(); + mCameraDevice = null; + } + if (null != mImageReader) { + mImageReader.close(); + mImageReader = null; + } + } catch (InterruptedException e) { + throw new RuntimeException("Interrupted while trying to lock ic_launcher closing.", e); + } finally { + mCameraOpenCloseLock.release(); + } + } + + /** + * Starts a background thread and its {@link Handler}. + */ + private void initChildThread() { + mBackgroundThread = new HandlerThread("CameraBackground"); + mBackgroundThread.start(); + mBackgroundHandler = new Handler(mBackgroundThread.getLooper()); + + mPreBackgroundThread = new HandlerThread("AlgoBackground"); + mPreBackgroundThread.start(); + mPreBackgroundHandler = new Handler(mPreBackgroundThread.getLooper()); + mPreBackgroundHandler.post(periodicClassify); + } + + + private boolean isPreBackgroundThreadPause; + + private Runnable periodicClassify = new Runnable() { + public void run() { + synchronized (CameraFragment.this) { + Bitmap bitmap = mTextureView.getBitmap(); + if (bitmap != null) { + drawBitmapToRect(bitmap); + } + //重复请求 + if (mPreBackgroundHandler != null && !isPreBackgroundThreadPause) { + mPreBackgroundHandler.post(periodicClassify); + } + } + } + }; + + + /** + * Stops the background thread and its {@link Handler}. + */ + private void stopBackgroundThread() { + isPreBackgroundThreadPause = true; + + mBackgroundThread.quitSafely(); + mPreBackgroundThread.quitSafely(); + try { + mBackgroundThread.join(); + mBackgroundThread = null; + mBackgroundHandler = null; + + mPreBackgroundThread.join(); + mPreBackgroundThread = null; + mPreBackgroundThread = null; + } catch (InterruptedException e) { + e.printStackTrace(); + } + } + + private void createCameraPreviewSession() { + try { + SurfaceTexture texture = mTextureView.getSurfaceTexture(); + // Set preview size. + texture.setDefaultBufferSize(mPreviewSize.getWidth(), mPreviewSize.getHeight()); + // This is the output Surface we need to start preview. + Surface surface = new Surface(texture); + + mPreviewRequestBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW); + mPreviewRequestBuilder.addTarget(surface); + // mPreviewRequestBuilder.addTarget(mImageReader.getSurface()); + // Here, we create a CameraCaptureSession for ic_launcher preview. + mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()), + new CameraCaptureSession.StateCallback() { + + @Override + public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) { + // The ic_launcher is already closed + if (null == mCameraDevice) { + return; + } + + // When the session is ready, we start displaying the preview. + mCaptureSession = cameraCaptureSession; + try { + // Auto focus should be continuous for ic_launcher preview. + mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE, + CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE); + // Flash is automatically enabled when necessary. + setAutoFlash(mPreviewRequestBuilder); + // Finally, we start displaying the ic_launcher preview. + mPreviewRequest = mPreviewRequestBuilder.build(); + mCaptureSession.setRepeatingRequest(mPreviewRequest, mCaptureCallback, mBackgroundHandler); + } catch (CameraAccessException e) { + e.printStackTrace(); + } + } + + @Override + public void onConfigureFailed(@NonNull CameraCaptureSession cameraCaptureSession) { + Toast.makeText(getActivity(), "Failed", Toast.LENGTH_LONG).show(); + } + }, null); + } catch (CameraAccessException e) { + e.printStackTrace(); + } + } + + private List recognitionObjectBeanList; + + public void drawBitmapToRect(Bitmap bitmap) { + if (recognitionObjectBeanList != null) { + recognitionObjectBeanList.clear(); + } + + long startTime = System.currentTimeMillis(); + String result = mTrackingMobile.MindSpore_runnet(bitmap); + long endTime = System.currentTimeMillis(); + Log.d(TAG, "MindSpore_runnet:time>>>" + (endTime - startTime)); + Log.d(TAG, "MindSpore_runnet:result>>>" + result); + if (TextUtils.isEmpty(result)) { + mObjectRectView.clearCanvas(); + return; + } + recognitionObjectBeanList = getRecognitionList(result); + mObjectRectView.setInfo(recognitionObjectBeanList); + } + + + /** + * Configures the necessary {@link Matrix} transformation to `mTextureView`. + * This method should be called after the ic_launcher preview size is determined in + * setUpCameraOutputs and also the size of `mTextureView` is fixed. + * + * @param viewWidth The width of `mTextureView` + * @param viewHeight The height of `mTextureView` + */ + private void configureTransform(int viewWidth, int viewHeight) { + if (null == mTextureView || null == mPreviewSize || null == getActivity()) { + return; + } + int rotation = getActivity().getWindowManager().getDefaultDisplay().getRotation(); + Matrix matrix = new Matrix(); + RectF viewRect = new RectF(0, 0, viewWidth, viewHeight); + RectF bufferRect = new RectF(0, 0, mPreviewSize.getHeight(), mPreviewSize.getWidth()); + float centerX = viewRect.centerX(); + float centerY = viewRect.centerY(); + if (Surface.ROTATION_90 == rotation || Surface.ROTATION_270 == rotation) { + bufferRect.offset(centerX - bufferRect.centerX(), centerY - bufferRect.centerY()); + matrix.setRectToRect(viewRect, bufferRect, Matrix.ScaleToFit.FILL); + float scale = Math.max((float) viewHeight / mPreviewSize.getHeight(), (float) viewWidth / mPreviewSize.getWidth()); + matrix.postScale(scale, scale, centerX, centerY); + matrix.postRotate(90 * (rotation - 2), centerX, centerY); + } else if (Surface.ROTATION_180 == rotation) { + matrix.postRotate(180, centerX, centerY); + } + mTextureView.setTransform(matrix); + } + + + /** + * Run the precapture sequence for capturing a still image. This method should be called when + */ + private void runPrecaptureSequence() { + try { + // This is how to tell the ic_launcher to trigger. + mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AE_PRECAPTURE_TRIGGER, CaptureRequest.CONTROL_AE_PRECAPTURE_TRIGGER_START); + // Tell #mCaptureCallback to wait for the precapture sequence to be set. + mState = STATE_WAITING_PRECAPTURE; + mCaptureSession.capture(mPreviewRequestBuilder.build(), mCaptureCallback, mBackgroundHandler); + } catch (CameraAccessException e) { + e.printStackTrace(); + } + } + + /** + * Capture a still picture. This method should be called when we get a response in + */ + private void captureStillPicture() { + try { + final Activity activity = getActivity(); + if (null == activity || null == mCameraDevice) { + return; + } + // This is the CaptureRequest.Builder that we use to take a picture. + final CaptureRequest.Builder captureBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_STILL_CAPTURE); + captureBuilder.addTarget(mImageReader.getSurface()); + + // Use the same AE and AF modes as the preview. + captureBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE); + setAutoFlash(captureBuilder); + + // Orientation + int rotation = activity.getWindowManager().getDefaultDisplay().getRotation(); + captureBuilder.set(CaptureRequest.JPEG_ORIENTATION, getOrientation(rotation)); + + CameraCaptureSession.CaptureCallback CaptureCallback + = new CameraCaptureSession.CaptureCallback() { + + @Override + public void onCaptureCompleted(@NonNull CameraCaptureSession session, + @NonNull CaptureRequest request, + @NonNull TotalCaptureResult result) { + unlockFocus(); + } + }; + + mCaptureSession.stopRepeating(); + mCaptureSession.abortCaptures(); + mCaptureSession.capture(captureBuilder.build(), CaptureCallback, null); + } catch (CameraAccessException e) { + e.printStackTrace(); + } + } + + /** + * Retrieves the JPEG orientation from the specified screen rotation. + * + * @param rotation The screen rotation. + * @return The JPEG orientation (one of 0, 90, 270, and 360) + */ + private int getOrientation(int rotation) { + // Sensor orientation is 90 for most devices, or 270 for some devices (eg. Nexus 5X) + // We have to take that into account and rotate JPEG properly. + // For devices with orientation of 90, we simply return our mapping from ORIENTATIONS. + // For devices with orientation of 270, we need to rotate the JPEG 180 degrees. + return (ORIENTATIONS.get(rotation) + mSensorOrientation + 270) % 360; + } + + /** + * Unlock the focus. This method should be called when still image capture sequence is + * finished. + */ + private void unlockFocus() { + try { + // Reset the auto-focus trigger + mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER, + CameraMetadata.CONTROL_AF_TRIGGER_CANCEL); + setAutoFlash(mPreviewRequestBuilder); + mCaptureSession.capture(mPreviewRequestBuilder.build(), mCaptureCallback, + mBackgroundHandler); + // After this, the ic_launcher will go back to the normal state of preview. + mState = STATE_PREVIEW; + mCaptureSession.setRepeatingRequest(mPreviewRequest, mCaptureCallback, + mBackgroundHandler); + } catch (CameraAccessException e) { + e.printStackTrace(); + } + } + + + private void setAutoFlash(CaptureRequest.Builder requestBuilder) { + if (mFlashSupported) { + requestBuilder.set(CaptureRequest.CONTROL_AE_MODE, + CaptureRequest.CONTROL_AE_MODE_ON_AUTO_FLASH); + } + } + + /** + * Compares two {@code Size}s based on their areas. + */ + static class CompareSizesByArea implements Comparator { + + @Override + public int compare(Size lhs, Size rhs) { + // We cast here to ensure the multiplications won't overflow + return Long.signum((long) lhs.getWidth() * lhs.getHeight() - (long) rhs.getWidth() * rhs.getHeight()); + } + + } + + /** + * Shows an error message dialog. + */ + public static class ErrorDialog extends DialogFragment { + + private static final String ARG_MESSAGE = "message"; + + public static ErrorDialog newInstance(String message) { + ErrorDialog dialog = new ErrorDialog(); + Bundle args = new Bundle(); + args.putString(ARG_MESSAGE, message); + dialog.setArguments(args); + return dialog; + } + + @NonNull + @Override + public Dialog onCreateDialog(Bundle savedInstanceState) { + final Activity activity = getActivity(); + return new AlertDialog.Builder(activity) + .setMessage(getArguments().getString(ARG_MESSAGE)) + .setPositiveButton(android.R.string.ok, new DialogInterface.OnClickListener() { + @Override + public void onClick(DialogInterface dialogInterface, int i) { + activity.finish(); + } + }) + .create(); + } + } +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/DealDataActivity.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/DealDataActivity.java new file mode 100644 index 00000000000..38806ac3355 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/DealDataActivity.java @@ -0,0 +1,263 @@ +package com.mindspore.hiobject.objectdetect; + +import android.Manifest; +import android.content.pm.PackageManager; +import android.graphics.Bitmap; +import android.graphics.BitmapFactory; +import android.os.Build; +import android.os.Bundle; +import android.os.Environment; +import android.os.Handler; +import android.os.Message; +import android.util.Log; +import android.widget.Toast; + +import androidx.annotation.NonNull; +import androidx.appcompat.app.AppCompatActivity; + +import com.mindspore.hiobject.R; +import com.mindspore.hiobject.help.TrackingMobile; + +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileOutputStream; +import java.io.IOException; +import java.io.ObjectOutputStream; +import java.util.ArrayList; +import java.util.List; + +/** + * [入口主页面] + *

+ * 向JNI传入图片，测试MindSpore模型加载推理等. + */ + +public class DealDataActivity extends AppCompatActivity { + private final String TAG = "DealDataActivity"; + + //自行将v2017的图片放入手机sdcard的位置 + private final static String IMGPATH = "/sdcard/val2017"; + private final static String IMG_RESULT_PATH = "/sdcard/val2017result/result.txt"; + private final static String IMG_RESULT_SINGLE_PATH = "/sdcard/val2017result/result2.txt"; + + private Bitmap mBitmap; + private TrackingMobile mTrackingMobile; + + private static final String PERMISSION_READ_EXTERNAL_STORAGEA = Manifest.permission.READ_EXTERNAL_STORAGE; + private static final String PERMISSION_WRITE_EXTERNAL_STORAGEA = Manifest.permission.WRITE_EXTERNAL_STORAGE; + + private static final int PERMISSIONS_REQUEST = 1; + + + private Handler handler = new Handler() { + @Override + public void handleMessage(@NonNull Message msg) { + super.handleMessage(msg); + if (1 == msg.what) { + dealData(); + // dealSingleData(); + } + } + }; + + + @Override + protected void onCreate(Bundle savedInstanceState) { + super.onCreate(savedInstanceState); + setContentView(R.layout.activity_dealdata); + + + try { + mTrackingMobile = new TrackingMobile(this); + } catch (FileNotFoundException e) { + Log.e(TAG, Log.getStackTraceString(e)); + } + mTrackingMobile.loadModelFromBuf(getAssets()); + + if (hasPermission()) { + getImgFileList(); + } else { + requestPermission(); + } + + } + + + private List imgFileList; + + private void getImgFileList() { + new Thread(new Runnable() { + @Override + public void run() { + imgFileList = getFilesAllName(IMGPATH); + Message message = new Message(); + message.what = 1; + handler.sendMessage(message); + } + }).start(); + } + + + List dealList = new ArrayList<>(); + + private void dealData() { + if (imgFileList != null && imgFileList.size() > 0) { + Log.d(TAG, "imgFileList size()>>" + imgFileList.size()); + for (int i = 0; i < imgFileList.size(); i++) { + Bitmap bitmap = BitmapFactory.decodeFile(imgFileList.get(i)).copy(Bitmap.Config.ARGB_8888, true); + + String result = mTrackingMobile.MindSpore_runnet(bitmap); + String fileName = imgFileList.get(i).substring(imgFileList.get(i).lastIndexOf("/") + 1); + Log.d(TAG, "index>>>" + i + ">>" + fileName + ">>result" + result); + StringBuilder sb = new StringBuilder(); + sb.append(fileName).append("_").append(result); + dealList.add(sb.toString()); + } + Log.d(TAG, "dealList >>>" + dealList.size()); + writeListIntoSDcard(IMG_RESULT_PATH, dealList); + } + } + + private void dealSingleData() { + String fileFullName = IMGPATH + "/error.jpg"; + Bitmap bitmap = BitmapFactory.decodeResource(getResources(),R.drawable.error).copy(Bitmap.Config.ARGB_8888, true); +// Bitmap bitmap = BitmapFactory.decodeFile(fileFullName).copy(Bitmap.Config.ARGB_8888, true); + if (bitmap != null) { + + String result = mTrackingMobile.MindSpore_runnet(bitmap); + Log.d(TAG, ">>result" + result); + StringBuilder sb = new StringBuilder(); + sb.append("error.jpg").append("_").append(result); +// writeStringIntoSDcard(IMG_RESULT_SINGLE_PATH, sb.toString()); + } + } + + + public boolean writeListIntoSDcard(String fileName, List list) { + if (Environment.getExternalStorageState().equals(Environment.MEDIA_MOUNTED)) { + File sdFile = new File(fileName); + try { + FileOutputStream fos = new FileOutputStream(sdFile); + ObjectOutputStream oos = new ObjectOutputStream(fos); + oos.writeObject(list);//写入 + fos.close(); + oos.close(); + return true; + } catch (FileNotFoundException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + return false; + } catch (IOException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + return false; + } + } else { + return false; + } + } + + + public boolean writeStringIntoSDcard(String fileName, String content) { + if (Environment.getExternalStorageState().equals(Environment.MEDIA_MOUNTED)) { + File sdFile = new File(fileName); + try { + FileOutputStream fos = new FileOutputStream(sdFile); + ObjectOutputStream oos = new ObjectOutputStream(fos); + oos.writeObject(content);//写入 + fos.close(); + oos.close(); + return true; + } catch (FileNotFoundException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + return false; + } catch (IOException e) { + // TODO Auto-generated catch block + e.printStackTrace(); + return false; + } + } else { + return false; + } + } + + @Override + public void onRequestPermissionsResult(final int requestCode, final String[] permissions, + final int[] grantResults) { + super.onRequestPermissionsResult(requestCode, permissions, grantResults); + if (requestCode == PERMISSIONS_REQUEST) { + if (allPermissionsGranted(grantResults)) { + getImgFileList(); + } else { + requestPermission(); + } + } + } + + private static boolean allPermissionsGranted(final int[] grantResults) { + for (int result : grantResults) { + if (result != PackageManager.PERMISSION_GRANTED) { + return false; + } + } + return true; + } + + private boolean hasPermission() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) { + return checkSelfPermission(PERMISSION_READ_EXTERNAL_STORAGEA) == PackageManager.PERMISSION_GRANTED && + checkSelfPermission(PERMISSION_WRITE_EXTERNAL_STORAGEA) == PackageManager.PERMISSION_GRANTED; + } else { + return true; + } + } + + private void requestPermission() { + if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) { + if (shouldShowRequestPermissionRationale(PERMISSION_READ_EXTERNAL_STORAGEA)) { + Toast.makeText(this, "Read permission is required for this demo", Toast.LENGTH_LONG) + .show(); + } + if (shouldShowRequestPermissionRationale(PERMISSION_WRITE_EXTERNAL_STORAGEA)) { + Toast.makeText(this, "WRITE permission is required for this demo", Toast.LENGTH_LONG) + .show(); + } + requestPermissions(new String[]{PERMISSION_READ_EXTERNAL_STORAGEA, PERMISSION_WRITE_EXTERNAL_STORAGEA}, PERMISSIONS_REQUEST); + } + } + + + public List getFilesAllName(String path) { + //传入指定文件夹的路径 + File file = new File(path); + if (null == file || !file.isDirectory()) { + return null; + } + File[] files = file.listFiles(); + List imagePaths = new ArrayList<>(); + for (int i = 0; i < files.length; i++) { + if (checkIsImageFile(files[i].getPath())) { + imagePaths.add(files[i].getPath()); + } + } + return imagePaths; + } + + /** + * 判断是否是照片 + */ + public boolean checkIsImageFile(String fName) { + boolean isImageFile = false; + //获取拓展名 + String fileEnd = fName.substring(fName.lastIndexOf(".") + 1, + fName.length()).toLowerCase(); + if (fileEnd.equals("jpg") || fileEnd.equals("png") || fileEnd.equals("gif") + || fileEnd.equals("jpeg") || fileEnd.equals("bmp")) { + isImageFile = true; + } else { + isImageFile = false; + } + return isImageFile; + } +} diff --git a/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/ObjectRectView.java b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/ObjectRectView.java new file mode 100644 index 00000000000..e7d7248d6d4 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/java/com/mindspore/hiobject/objectdetect/ObjectRectView.java @@ -0,0 +1,114 @@ +package com.mindspore.hiobject.objectdetect; + +import android.content.Context; +import android.graphics.Canvas; +import android.graphics.Color; +import android.graphics.Paint; +import android.graphics.Paint.Style; +import android.graphics.RectF; +import android.util.AttributeSet; +import android.util.Log; +import android.view.View; + +import com.mindspore.hiobject.help.RecognitionObjectBean; + +import java.util.ArrayList; +import java.util.List; + +/** + * 针对物体检测的矩形框绘制类 + *

+ * 使用的API： + * 1. Canvas：代表“依附”于指定View的画布，用它的方法来绘制各种图形. + * 2. Paint：代表Canvas上的画笔，用于设置画笔颜色、画笔粗细、填充风格等. + */ + +public class ObjectRectView extends View { + + private final String TAG = "ObjectRectView"; + + private List mRecognitions = new ArrayList<>(); + private Paint mPaint = null; + + // 画框区域. + private RectF mObjRectF; + + + public ObjectRectView(Context context) { + super(context); + initialize(); + } + + public ObjectRectView(Context context, AttributeSet attrs) { + super(context, attrs); + initialize(); + } + + public ObjectRectView(Context context, AttributeSet attrs, int defStyleAttr) { + super(context, attrs, defStyleAttr); + initialize(); + } + + + public int[] MyColor = {Color.RED, Color.WHITE, Color.YELLOW, Color.GREEN, Color.LTGRAY, Color.MAGENTA, Color.BLACK, Color.BLUE, Color.CYAN}; + + + private void initialize() { + mObjRectF = new RectF(); + + mPaint = new Paint(Paint.ANTI_ALIAS_FLAG); + mPaint.setTextSize(50); + //只绘制图形轮廓(描边) + mPaint.setStyle(Style.STROKE); + mPaint.setStrokeWidth(5); + } + + /** + * 传入需绘制信息 + * + * @param recognitions + */ + public void setInfo(List recognitions) { + Log.i(TAG, "setInfo: "+recognitions.size()); + + mRecognitions.clear(); + mRecognitions.addAll(recognitions); + + //重新draw(). + invalidate(); + } + + public void clearCanvas(){ + mRecognitions.clear(); + //重新draw(). + invalidate(); + } + + @Override + protected void onDraw(Canvas canvas) { + super.onDraw(canvas); + + if (mRecognitions == null || mRecognitions.size() == 0) { +// mPaint.setColor(Color.TRANSPARENT); +// mObjRectF = new RectF(0, 0, 5, 5); +// canvas.drawRoundRect(mObjRectF, 0, 0, mPaint); + return; + } + for (int i = 0;i recognitionObjectBeanList; + + @Override + protected void onCreate(Bundle savedInstanceState) { + super.onCreate(savedInstanceState); + setContentView(R.layout.activity_photo); + + imgPhoto = findViewById(R.id.img_photo); + + Uri uri = getIntent().getData(); + String imgPath = ImageDegreeHelper.getPath(this,uri); + int degree = ImageDegreeHelper.readPictureDegree(imgPath); + Bitmap originBitmap = BitmapFactory.decodeFile(imgPath); + if (originBitmap != null) { + Bitmap bitmap = ImageDegreeHelper.rotaingImageView(degree, originBitmap.copy(Bitmap.Config.ARGB_8888, true)); + if (bitmap != null) { + imgPhoto.setImageBitmap(bitmap); + initMindspore(bitmap); + } + } + } + + private void initMindspore(Bitmap bitmap) { + try { + trackingMobile = new TrackingMobile(this); + } catch (FileNotFoundException e) { + Log.e(TAG, Log.getStackTraceString(e)); + e.printStackTrace(); + } + // 加载模型 + boolean ret = trackingMobile.loadModelFromBuf(getAssets()); + + if (!ret) { + Log.e(TAG, "Load model error."); + return; + } + // run net. + long startTime = System.currentTimeMillis(); + String result = trackingMobile.MindSpore_runnet(bitmap); + long endTime = System.currentTimeMillis(); + + Log.d(TAG, "RUNNET 耗时："+(endTime-startTime)+"ms"); + Log.d(TAG, "result："+ result); + + recognitionObjectBeanList = getRecognitionList(result); + + if (recognitionObjectBeanList != null && recognitionObjectBeanList.size() > 0) { + drawRect(bitmap); + } + } + + private void drawRect(Bitmap bitmap) { + Canvas canvas = new Canvas(bitmap); + Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG); + paint.setTextSize(dip2px(15)); + paint.setStyle(Paint.Style.STROKE); + paint.setStrokeWidth(3); + + for (int i = 0; i < recognitionObjectBeanList.size(); i++) { + RecognitionObjectBean objectBean = recognitionObjectBeanList.get(i); + StringBuilder sb = new StringBuilder(); + sb.append(objectBean.getRectID()).append("_").append(objectBean.getObjectName()).append("_").append(String.format("%.2f", (100 * objectBean.getScore())) + "%"); + + int paintColor = COLORS[i % COLORS.length]; + paint.setColor(paintColor); + + RectF rectF = new RectF(objectBean.getLeft(), objectBean.getTop(), objectBean.getRight(), objectBean.getBottom()); + canvas.drawRect(rectF, paint); + canvas.drawText(sb.toString(),objectBean.getLeft(), objectBean.getTop()-10,paint); + } + } + + @Override + protected void onDestroy() { + super.onDestroy(); + trackingMobile.unloadModel(); + } + + public int dip2px(float dipValue){ + float scale = getResources().getDisplayMetrics().density; + return (int) (dipValue*scale+0.5f); + + } +} \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/main/res/drawable-v24/ic_launcher_foreground.xml b/model_zoo/official/lite/object_detection/app/src/main/res/drawable-v24/ic_launcher_foreground.xml new file mode 100644 index 00000000000..2b068d11462 --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/res/drawable-v24/ic_launcher_foreground.xml @@ -0,0 +1,30 @@ + + + + + + + + + + + \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/main/res/drawable/dog_cat.jpg b/model_zoo/official/lite/object_detection/app/src/main/res/drawable/dog_cat.jpg new file mode 100644 index 0000000000000000000000000000000000000000..47bf70c16b10723d5b72a3192660d36646d08256 GIT binary patch literal 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a/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_photo.xml b/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_photo.xml new file mode 100644 index 00000000000..c24b18ebc7c --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_photo.xml @@ -0,0 +1,13 @@ + + + + + \ No newline at end of file diff --git a/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_splash.xml b/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_splash.xml new file mode 100644 index 00000000000..a0cb447982f --- /dev/null +++ b/model_zoo/official/lite/object_detection/app/src/main/res/layout/activity_splash.xml @@ -0,0 +1,52 @@ + + + + + +