From 47950370c31dd242c5336789696d748da7a23fc1 Mon Sep 17 00:00:00 2001 From: zhangxiaoxiao Date: Fri, 18 Jun 2021 10:18:17 +0800 Subject: [PATCH] simple_pose 310 infer modified: README.md modified: ascend310_infer/CMakeLists.txt modified: postprocess.py modified: preprocess.py --- model_zoo/official/cv/simple_pose/README.md | 36 +++++ .../ascend310_infer/CMakeLists.txt | 14 ++ .../cv/simple_pose/ascend310_infer/build.sh | 29 ++++ .../simple_pose/ascend310_infer/inc/utils.h | 32 +++++ .../simple_pose/ascend310_infer/src/main.cc | 130 ++++++++++++++++++ .../simple_pose/ascend310_infer/src/utils.cc | 129 +++++++++++++++++ .../cv/simple_pose/default_config.yaml | 8 ++ model_zoo/official/cv/simple_pose/export.py | 41 ++++++ .../official/cv/simple_pose/postprocess.py | 89 ++++++++++++ .../official/cv/simple_pose/preprocess.py | 64 +++++++++ .../cv/simple_pose/scripts/run_infer_310.sh | 120 ++++++++++++++++ 11 files changed, 692 insertions(+) create mode 100644 model_zoo/official/cv/simple_pose/ascend310_infer/CMakeLists.txt create mode 100644 model_zoo/official/cv/simple_pose/ascend310_infer/build.sh create mode 100644 model_zoo/official/cv/simple_pose/ascend310_infer/inc/utils.h create mode 100644 model_zoo/official/cv/simple_pose/ascend310_infer/src/main.cc create mode 100644 model_zoo/official/cv/simple_pose/ascend310_infer/src/utils.cc create mode 100644 model_zoo/official/cv/simple_pose/export.py create mode 100644 model_zoo/official/cv/simple_pose/postprocess.py create mode 100644 model_zoo/official/cv/simple_pose/preprocess.py create mode 100644 model_zoo/official/cv/simple_pose/scripts/run_infer_310.sh diff --git a/model_zoo/official/cv/simple_pose/README.md b/model_zoo/official/cv/simple_pose/README.md index 86a3f56ae8b..e769fe07e81 100644 --- a/model_zoo/official/cv/simple_pose/README.md +++ b/model_zoo/official/cv/simple_pose/README.md @@ -17,6 +17,10 @@ - [Training](#training) - [Distributed Training](#distributed-training) - [Evaluation Process](#evaluation-process) + - [Inference Process](#inference-process) + - [Export MindIR](#export-mindir) + - [Infer on Ascend310](#infer-on-ascend310) + - [result](#result) - [Model Description](#model-description) - [Performance](#performance) - [Description of Random Situation](#description-of-random-situation) @@ -365,6 +369,38 @@ Total boxes: 104125 ... ``` +## Inference Process + +### [Export MindIR](#contents) + +```shell +python export.py +``` + +The `TEST.MODEL_FILE` parameter is required +`FILE_FORMAT` should be in ["AIR", "MINDIR"] + +### Infer on Ascend310 + +Before performing inference, the mindir file must be exported by `export.py` script. We only provide an example of inference using MINDIR model. +When the network processes datasets, if the last batch is insufficient, it will not be automatically supplemented, in a nutshell, batch_Size set to 1 will go better. + +```shell +# Ascend310 inference +bash run_infer_310.sh [MINDIR_PATH] [NEED_PREPROCESS] [DEVICE_ID] +``` + +- `NEED_PREPROCESS` means weather the dataset is processed in binary format, it's value is 'y' or 'n'. +- `DEVICE_ID` is optional, default value is 0. + +### result + +Inference result is saved in current path, you can find result like this in acc.log file. + +```bash +AP: 0.7036180026660003 +``` + # [Model Description](#contents) ## [Performance](#contents) diff --git a/model_zoo/official/cv/simple_pose/ascend310_infer/CMakeLists.txt b/model_zoo/official/cv/simple_pose/ascend310_infer/CMakeLists.txt new file mode 100644 index 00000000000..170e6c5275e --- /dev/null +++ b/model_zoo/official/cv/simple_pose/ascend310_infer/CMakeLists.txt @@ -0,0 +1,14 @@ +cmake_minimum_required(VERSION 3.14.1) +project(Ascend310Infer) +add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0) +set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O2 -g -std=c++17 -Werror -Wall -fPIE -Wl,--allow-shlib-undefined") +set(PROJECT_SRC_ROOT ${CMAKE_CURRENT_LIST_DIR}/) +option(MINDSPORE_PATH "mindspore install path" "") +include_directories(${MINDSPORE_PATH}) +include_directories(${MINDSPORE_PATH}/include) +include_directories(${PROJECT_SRC_ROOT}) +find_library(MS_LIB libmindspore.so ${MINDSPORE_PATH}/lib) +file(GLOB_RECURSE MD_LIB ${MINDSPORE_PATH}/_c_dataengine*) + +add_executable(main src/main.cc src/utils.cc) +target_link_libraries(main ${MS_LIB} ${MD_LIB} gflags) diff --git a/model_zoo/official/cv/simple_pose/ascend310_infer/build.sh b/model_zoo/official/cv/simple_pose/ascend310_infer/build.sh new file mode 100644 index 00000000000..285514e19f2 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/ascend310_infer/build.sh @@ -0,0 +1,29 @@ +#!/bin/bash +# Copyright 2021 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. +# ============================================================================ +if [ -d out ]; then + rm -rf out +fi + +mkdir out +cd out || exit + +if [ -f "Makefile" ]; then + make clean +fi + +cmake .. \ + -DMINDSPORE_PATH="`pip3.7 show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`" +make diff --git a/model_zoo/official/cv/simple_pose/ascend310_infer/inc/utils.h b/model_zoo/official/cv/simple_pose/ascend310_infer/inc/utils.h new file mode 100644 index 00000000000..efebe03a8c1 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/ascend310_infer/inc/utils.h @@ -0,0 +1,32 @@ +/** + * Copyright 2021 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 MINDSPORE_INFERENCE_UTILS_H_ +#define MINDSPORE_INFERENCE_UTILS_H_ + +#include +#include +#include +#include +#include +#include "include/api/types.h" + +std::vector GetAllFiles(std::string_view dirName); +DIR *OpenDir(std::string_view dirName); +std::string RealPath(std::string_view path); +mindspore::MSTensor ReadFileToTensor(const std::string &file); +int WriteResult(const std::string& imageFile, const std::vector &outputs); +#endif diff --git a/model_zoo/official/cv/simple_pose/ascend310_infer/src/main.cc b/model_zoo/official/cv/simple_pose/ascend310_infer/src/main.cc new file mode 100644 index 00000000000..4a054dc5c9f --- /dev/null +++ b/model_zoo/official/cv/simple_pose/ascend310_infer/src/main.cc @@ -0,0 +1,130 @@ +/** + * Copyright 2021 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 + +#include "include/api/model.h" +#include "include/api/context.h" +#include "include/api/types.h" +#include "include/api/serialization.h" +#include "include/dataset/execute.h" +#include "include/dataset/vision.h" +#include "inc/utils.h" + +using mindspore::Context; +using mindspore::Serialization; +using mindspore::Model; +using mindspore::Status; +using mindspore::MSTensor; +using mindspore::dataset::Execute; +using mindspore::ModelType; +using mindspore::GraphCell; +using mindspore::kSuccess; + +DEFINE_string(mindir_path, "", "mindir path"); +DEFINE_string(input0_path, ".", "input0 path"); +DEFINE_int32(device_id, 0, "device id"); + +int main(int argc, char **argv) { + gflags::ParseCommandLineFlags(&argc, &argv, true); + if (RealPath(FLAGS_mindir_path).empty()) { + std::cout << "Invalid mindir" << std::endl; + return 1; + } + + auto context = std::make_shared(); + auto ascend310 = std::make_shared(); + ascend310->SetDeviceID(FLAGS_device_id); + context->MutableDeviceInfo().push_back(ascend310); + mindspore::Graph graph; + Serialization::Load(FLAGS_mindir_path, ModelType::kMindIR, &graph); + + Model model; + Status ret = model.Build(GraphCell(graph), context); + if (ret != kSuccess) { + std::cout << "ERROR: Build failed." << std::endl; + return 1; + } + + std::vector model_inputs = model.GetInputs(); + if (model_inputs.empty()) { + std::cout << "Invalid model, inputs is empty." << std::endl; + return 1; + } + + auto input0_files = GetAllFiles(FLAGS_input0_path); + + if (input0_files.empty()) { + std::cout << "ERROR: input data empty." << std::endl; + return 1; + } + + std::map costTime_map; + size_t size = input0_files.size(); + + for (size_t i = 0; i < size; ++i) { + struct timeval start = {0}; + struct timeval end = {0}; + double startTimeMs; + double endTimeMs; + std::vector inputs; + std::vector outputs; + std::cout << "Start predict input files:" << input0_files[i] << std::endl; + + auto input0 = ReadFileToTensor(input0_files[i]); + inputs.emplace_back(model_inputs[0].Name(), model_inputs[0].DataType(), model_inputs[0].Shape(), + input0.Data().get(), input0.DataSize()); + + gettimeofday(&start, nullptr); + ret = model.Predict(inputs, &outputs); + gettimeofday(&end, nullptr); + if (ret != kSuccess) { + std::cout << "Predict " << input0_files[i] << " failed." << std::endl; + return 1; + } + startTimeMs = (1.0 * start.tv_sec * 1000000 + start.tv_usec) / 1000; + endTimeMs = (1.0 * end.tv_sec * 1000000 + end.tv_usec) / 1000; + costTime_map.insert(std::pair(startTimeMs, endTimeMs)); + WriteResult(input0_files[i], outputs); + } + double average = 0.0; + int inferCount = 0; + + for (auto iter = costTime_map.begin(); iter != costTime_map.end(); iter++) { + double diff = 0.0; + diff = iter->second - iter->first; + average += diff; + inferCount++; + } + average = average / inferCount; + std::stringstream timeCost; + timeCost << "NN inference cost average time: "<< average << " ms of infer_count " << inferCount << std::endl; + std::cout << "NN inference cost average time: "<< average << "ms of infer_count " << inferCount << std::endl; + std::string fileName = "./time_Result" + std::string("/test_perform_static.txt"); + std::ofstream fileStream(fileName.c_str(), std::ios::trunc); + fileStream << timeCost.str(); + fileStream.close(); + costTime_map.clear(); + return 0; +} diff --git a/model_zoo/official/cv/simple_pose/ascend310_infer/src/utils.cc b/model_zoo/official/cv/simple_pose/ascend310_infer/src/utils.cc new file mode 100644 index 00000000000..c947e4d5f45 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/ascend310_infer/src/utils.cc @@ -0,0 +1,129 @@ +/** + * Copyright 2021 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 "inc/utils.h" + +using mindspore::MSTensor; +using mindspore::DataType; + +std::vector GetAllFiles(std::string_view dirName) { + struct dirent *filename; + DIR *dir = OpenDir(dirName); + if (dir == nullptr) { + return {}; + } + std::vector res; + while ((filename = readdir(dir)) != nullptr) { + std::string dName = std::string(filename->d_name); + if (dName == "." || dName == ".." || filename->d_type != DT_REG) { + continue; + } + res.emplace_back(std::string(dirName) + "/" + filename->d_name); + } + std::sort(res.begin(), res.end()); + for (auto &f : res) { + std::cout << "image file: " << f << std::endl; + } + return res; +} + +int WriteResult(const std::string& imageFile, const std::vector &outputs) { + std::string homePath = "./result_Files"; + for (size_t i = 0; i < outputs.size(); ++i) { + size_t outputSize; + std::shared_ptr netOutput; + netOutput = outputs[i].Data(); + outputSize = outputs[i].DataSize(); + int pos = imageFile.rfind('/'); + std::string fileName(imageFile, pos + 1); + fileName.replace(fileName.find('.'), fileName.size() - fileName.find('.'), '_' + std::to_string(i) + ".bin"); + std::string outFileName = homePath + "/" + fileName; + FILE * outputFile = fopen(outFileName.c_str(), "wb"); + fwrite(netOutput.get(), outputSize, sizeof(char), outputFile); + fclose(outputFile); + outputFile = nullptr; + } + return 0; +} + +mindspore::MSTensor ReadFileToTensor(const std::string &file) { + if (file.empty()) { + std::cout << "Pointer file is nullptr" << std::endl; + return mindspore::MSTensor(); + } + + std::ifstream ifs(file); + if (!ifs.good()) { + std::cout << "File: " << file << " is not exist" << std::endl; + return mindspore::MSTensor(); + } + + if (!ifs.is_open()) { + std::cout << "File: " << file << "open failed" << std::endl; + return mindspore::MSTensor(); + } + + ifs.seekg(0, std::ios::end); + size_t size = ifs.tellg(); + mindspore::MSTensor buffer(file, mindspore::DataType::kNumberTypeUInt8, {static_cast(size)}, nullptr, size); + + ifs.seekg(0, std::ios::beg); + ifs.read(reinterpret_cast(buffer.MutableData()), size); + ifs.close(); + + return buffer; +} + + +DIR *OpenDir(std::string_view dirName) { + if (dirName.empty()) { + std::cout << " dirName is null ! " << std::endl; + return nullptr; + } + std::string realPath = RealPath(dirName); + struct stat s; + lstat(realPath.c_str(), &s); + if (!S_ISDIR(s.st_mode)) { + std::cout << "dirName is not a valid directory !" << std::endl; + return nullptr; + } + DIR *dir; + dir = opendir(realPath.c_str()); + if (dir == nullptr) { + std::cout << "Can not open dir " << dirName << std::endl; + return nullptr; + } + std::cout << "Successfully opened the dir " << dirName << std::endl; + return dir; +} + +std::string RealPath(std::string_view path) { + char realPathMem[PATH_MAX] = {0}; + char *realPathRet = nullptr; + realPathRet = realpath(path.data(), realPathMem); + + if (realPathRet == nullptr) { + std::cout << "File: " << path << " is not exist."; + return ""; + } + + std::string realPath(realPathMem); + std::cout << path << " realpath is: " << realPath << std::endl; + return realPath; +} diff --git a/model_zoo/official/cv/simple_pose/default_config.yaml b/model_zoo/official/cv/simple_pose/default_config.yaml index b0ba7b8a5ac..ce82f89e1c0 100644 --- a/model_zoo/official/cv/simple_pose/default_config.yaml +++ b/model_zoo/official/cv/simple_pose/default_config.yaml @@ -69,6 +69,14 @@ TEST: BBOX_THRE: 1.0 IMAGE_THRE: 0.0 NMS_THRE: 1.0 +#export-related +EXPORT: + FILE_NAME: 'simple_pose' + FILE_FORMAT: 'MINDIR' +#310 infer-related +INFER: + PRE_RESULT_PATH: './preprocess_Result' + POST_RESULT_PATH: './result_Files' --- # Help description for each configuration diff --git a/model_zoo/official/cv/simple_pose/export.py b/model_zoo/official/cv/simple_pose/export.py new file mode 100644 index 00000000000..14fce8d7c22 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/export.py @@ -0,0 +1,41 @@ +# Copyright 2021 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. +# ============================================================================ +import numpy as np + +from mindspore import Tensor, float32, context +from mindspore.train.serialization import load_checkpoint, load_param_into_net, export + +from src.model import get_pose_net +from src.model_utils.config import config +from src.model_utils.device_adapter import get_device_id + +if __name__ == '__main__': + # set context + device_id = get_device_id() + context.set_context(mode=context.GRAPH_MODE, + device_target="Ascend", save_graphs=False, device_id=device_id) + + # init model + model = get_pose_net(config, is_train=False) + model.set_train(False) + + # load parameters + ckpt_file = config.TEST.MODEL_FILE + print('loading model ckpt from {}'.format(ckpt_file)) + load_param_into_net(model, load_checkpoint(ckpt_file)) + + input_shape = [config.TEST.BATCH_SIZE, 3, config.MODEL.IMAGE_SIZE[1], config.MODEL.IMAGE_SIZE[0]] + input_ids = Tensor(np.zeros(input_shape), float32) + export(model, input_ids, file_name=config.EXPORT.FILE_NAME, file_format=config.EXPORT.FILE_FORMAT) diff --git a/model_zoo/official/cv/simple_pose/postprocess.py b/model_zoo/official/cv/simple_pose/postprocess.py new file mode 100644 index 00000000000..20574647956 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/postprocess.py @@ -0,0 +1,89 @@ +# Copyright 2021 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. +# ============================================================================ +import os +import numpy as np + +from src.evaluate.coco_eval import evaluate +from src.utils.transform import flip_back +from src.predict import get_final_preds +from src.dataset import flip_pairs +from src.model_utils.config import config + + +def get_acc(): + '''calculate accuracy''' + ckpt_file = config.TEST.MODEL_FILE + output_dir = ckpt_file.split('.')[0] + if config.enable_modelarts: + output_dir = config.output_path + cfg = config + + # init record + file_num = len(os.listdir(config.INFER.POST_RESULT_PATH)) // 2 + num_samples = file_num * cfg.TEST.BATCH_SIZE + all_preds = np.zeros((num_samples, cfg.MODEL.NUM_JOINTS, 3), + dtype=np.float32) + all_boxes = np.zeros((num_samples, 2)) + image_id = [] + idx = 0 + bs = config.TEST.BATCH_SIZE + h, w = config.POSE_RESNET.HEATMAP_SIZE[1], config.POSE_RESNET.HEATMAP_SIZE[0] + shape = [bs, config.MODEL.NUM_JOINTS, h, w] + + for i in range(file_num): + f = os.path.join(config.INFER.POST_RESULT_PATH, "sp_bs" + str(bs) + "_" + str(i) + "_0.bin") + output = np.fromfile(f, np.float32).reshape(shape) + if cfg.TEST.FLIP_TEST: + f = os.path.join(config.INFER.POST_RESULT_PATH, "sp_flip_bs" + str(bs) + "_" + str(i) + "_0.bin") + output_flipped = np.fromfile(f, np.float32).reshape(shape) + output_flipped = flip_back(output_flipped, flip_pairs) + + # feature is not aligned, shift flipped heatmap for higher accuracy + if cfg.TEST.SHIFT_HEATMAP: + output_flipped[:, :, :, 1:] = \ + output_flipped.copy()[:, :, :, 0:-1] + + output = (output + output_flipped) * 0.5 + + # meta data + center_path = os.path.join(config.INFER.PRE_RESULT_PATH, "center") + scale_path = os.path.join(config.INFER.PRE_RESULT_PATH, "scale") + score_path = os.path.join(config.INFER.PRE_RESULT_PATH, "score") + id_path = os.path.join(config.INFER.PRE_RESULT_PATH, "id") + file_name = "sp_bs" + str(bs) + "_" + str(i) + ".npy" + c = np.load(os.path.join(center_path, file_name)) + s = np.load(os.path.join(scale_path, file_name)) + score = np.load(os.path.join(score_path, file_name)) + file_id = np.load(os.path.join(id_path, file_name)) + + # pred by heatmaps + preds, maxvals = get_final_preds(cfg, output.copy(), c, s) + num_images, _ = preds.shape[:2] + all_preds[idx:idx + num_images, :, 0:2] = preds[:, :, 0:2] + all_preds[idx:idx + num_images, :, 2:3] = maxvals + # double check this all_boxes parts + all_boxes[idx:idx + num_images, 0] = np.prod(s * 200, 1) + all_boxes[idx:idx + num_images, 1] = score + image_id.extend(file_id) + idx += num_images + + + print(all_preds[:idx].shape, all_boxes[:idx].shape, len(image_id)) + _, perf_indicator = evaluate( + cfg, all_preds[:idx], output_dir, all_boxes[:idx], image_id) + print("AP:", perf_indicator) + +if __name__ == '__main__': + get_acc() diff --git a/model_zoo/official/cv/simple_pose/preprocess.py b/model_zoo/official/cv/simple_pose/preprocess.py new file mode 100644 index 00000000000..9f4d15ec90a --- /dev/null +++ b/model_zoo/official/cv/simple_pose/preprocess.py @@ -0,0 +1,64 @@ +# Copyright 2021 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. +# ============================================================================ +import os +import numpy as np + +from src.dataset import keypoint_dataset +from src.model_utils.config import config + +def get_bin(): + ''' get bin files''' + valid_dataset, _ = keypoint_dataset( + config, + bbox_file=config.TEST.COCO_BBOX_FILE, + train_mode=False, + num_parallel_workers=config.TEST.DATALOADER_WORKERS, + ) + inputs_path = os.path.join(config.INFER.PRE_RESULT_PATH, "00_data") + os.makedirs(inputs_path) + + center_path = os.path.join(config.INFER.PRE_RESULT_PATH, "center") + os.makedirs(center_path) + + scale_path = os.path.join(config.INFER.PRE_RESULT_PATH, "scale") + os.makedirs(scale_path) + + score_path = os.path.join(config.INFER.PRE_RESULT_PATH, "score") + os.makedirs(score_path) + + id_path = os.path.join(config.INFER.PRE_RESULT_PATH, "id") + os.makedirs(id_path) + + for i, item in enumerate(valid_dataset.create_dict_iterator(output_numpy=True)): + file_name = "sp_bs" + str(config.TEST.BATCH_SIZE) + "_" + str(i) + ".bin" + # input data + inputs = item['image'] + inputs_file_path = os.path.join(inputs_path, file_name) + inputs.tofile(inputs_file_path) + if config.TEST.FLIP_TEST: + inputs_flipped = inputs[:, :, :, ::-1] + file_name = "sp_flip_bs" + str(config.TEST.BATCH_SIZE) + "_" + str(i) + ".bin" + inputs_file_path = os.path.join(inputs_path, file_name) + inputs_flipped.tofile(inputs_file_path) + file_name = "sp_bs" + str(config.TEST.BATCH_SIZE) + "_" + str(i) + ".npy" + np.save(os.path.join(center_path, file_name), item['center']) + np.save(os.path.join(scale_path, file_name), item['scale']) + np.save(os.path.join(score_path, file_name), item['score']) + np.save(os.path.join(id_path, file_name), item['id']) + print("=" * 20, "export bin files finished", "=" * 20) + + +if __name__ == '__main__': + get_bin() diff --git a/model_zoo/official/cv/simple_pose/scripts/run_infer_310.sh b/model_zoo/official/cv/simple_pose/scripts/run_infer_310.sh new file mode 100644 index 00000000000..713e516b5f5 --- /dev/null +++ b/model_zoo/official/cv/simple_pose/scripts/run_infer_310.sh @@ -0,0 +1,120 @@ +#!/bin/bash +# Copyright 2021 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. +# ============================================================================ + +if [[ $# -lt 2 || $# -gt 3 ]]; then + echo "Usage: bash run_infer_310.sh [MINDIR_PATH] [NEED_PREPROCESS] [DEVICE_ID] + NEED_PREPROCESS means weather need preprocess or not, it's value is 'y' or 'n'. + DEVICE_ID is optional, it can be set by environment variable device_id, otherwise the value is zero" +exit 1 +fi + +get_real_path(){ + if [ "${1:0:1}" == "/" ]; then + echo "$1" + else + echo "$(realpath -m $PWD/$1)" + fi +} +model=$(get_real_path $1) + +if [ "$2" == "y" ] || [ "$2" == "n" ];then + need_preprocess=$2 +else + echo "weather need preprocess or not, it's value must be in [y, n]" + exit 1 +fi + +device_id=0 +if [ $# == 3 ]; then + device_id=$3 +fi + +echo "mindir name: "$model +echo "need preprocess: "$need_preprocess +echo "device id: "$device_id + +export ASCEND_HOME=/usr/local/Ascend/ +if [ -d ${ASCEND_HOME}/ascend-toolkit ]; then + export PATH=$ASCEND_HOME/fwkacllib/bin:$ASCEND_HOME/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/ascend-toolkit/latest/atc/bin:$PATH + export LD_LIBRARY_PATH=$ASCEND_HOME/fwkacllib/lib64:/usr/local/lib:$ASCEND_HOME/ascend-toolkit/latest/atc/lib64:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export TBE_IMPL_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp/op_impl/built-in/ai_core/tbe + export PYTHONPATH=$ASCEND_HOME/fwkacllib/python/site-packages:${TBE_IMPL_PATH}:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp +else + export PATH=$ASCEND_HOME/fwkacllib/bin:$ASCEND_HOME/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/atc/ccec_compiler/bin:$ASCEND_HOME/atc/bin:$PATH + export LD_LIBRARY_PATH=$ASCEND_HOME/fwkacllib/lib64:/usr/local/lib:$ASCEND_HOME/atc/lib64:$ASCEND_HOME/acllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export PYTHONPATH=$ASCEND_HOME/fwkacllib/python/site-packages:$ASCEND_HOME/atc/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/opp +fi + +function preprocess_data() +{ + if [ -d preprocess_Result ]; then + rm -rf ./preprocess_Result + fi + mkdir preprocess_Result + python3.7 ../preprocess.py +} + +function compile_app() +{ + cd ../ascend310_infer || exit + bash build.sh &> build.log +} + +function infer() +{ + cd - || exit + if [ -d result_Files ]; then + rm -rf ./result_Files + fi + if [ -d time_Result ]; then + rm -rf ./time_Result + fi + mkdir result_Files + mkdir time_Result + + ../ascend310_infer/out/main --mindir_path=$model --input0_path=./preprocess_Result/00_data --device_id=$device_id &> infer.log + +} + +function cal_acc() +{ + python3.7 ../postprocess.py &> acc.log +} + +if [ $need_preprocess == "y" ]; then + preprocess_data + if [ $? -ne 0 ]; then + echo "preprocess dataset failed" + exit 1 + fi +fi +compile_app +if [ $? -ne 0 ]; then + echo "compile app code failed" + exit 1 +fi +infer +if [ $? -ne 0 ]; then + echo " execute inference failed" + exit 1 +fi +cal_acc +if [ $? -ne 0 ]; then + echo "calculate accuracy failed" + exit 1 +fi \ No newline at end of file