forked from mindspore-Ecosystem/mindspore
fix fasterrcnn readme and psenet makefile
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@ -33,7 +33,7 @@ FasterRcnn is a two-stage target detection network,This network uses a region pr
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# Dataset
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Dataset used: [COCO2017](<http://images.cocodataset.org/>)
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Dataset used: [COCO2017](<https://cocodataset.org/>)
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- Dataset size:19G
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- Train:18G,118000 images
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@ -209,7 +209,7 @@ Eval result will be stored in the example path, whose folder name is "eval". Und
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| Model Version | V1 |
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| Resource | Ascend 910 ;CPU 2.60GHz,192cores;Memory,755G |
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| uploaded Date | 08/31/2020 (month/day/year) |
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| MindSpore Version | 0.7.0-beta |
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| MindSpore Version | 1.0.0 |
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| Dataset | COCO2017 |
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| Training Parameters | epoch=12, batch_size=2 |
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| Optimizer | SGD |
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@ -217,7 +217,7 @@ Eval result will be stored in the example path, whose folder name is "eval". Und
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| Speed | 1pc: 190 ms/step; 8pcs: 200 ms/step |
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| Total time | 1pc: 37.17 hours; 8pcs: 4.89 hours |
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| Parameters (M) | 250 |
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| Scripts | https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/faster_rcnn |
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| Scripts | [fasterrcnn script](https://gitee.com/mindspore/mindspore/tree/r1.0/model_zoo/official/cv/faster_rcnn) |
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### Evaluation Performance
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@ -227,7 +227,7 @@ Eval result will be stored in the example path, whose folder name is "eval". Und
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| Model Version | V1 |
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| Resource | Ascend 910 |
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| Uploaded Date | 08/31/2020 (month/day/year) |
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| MindSpore Version | 0.7.0-beta |
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| MindSpore Version | 1.0.0 |
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| Dataset | COCO2017 |
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| batch_size | 2 |
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| outputs | mAP |
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@ -235,4 +235,5 @@ Eval result will be stored in the example path, whose folder name is "eval". Und
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| Model for inference | 250M (.ckpt file) |
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# [ModelZoo Homepage](#contents)
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Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
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Please check the official [homepage](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
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@ -14,7 +14,7 @@
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# ============================================================================
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mindspore_home = ${MINDSPORE_HOME}
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CXXFLAGS = -I include -I ${mindspore_home}/mindspore/official/cv/psenet -std=c++11 -O3
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CXXFLAGS = -I include -I ${mindspore_home}/model_zoo/official/cv/psenet -std=c++11 -O3
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CXX_SOURCES = adaptor.cpp
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opencv_home = ${OPENCV_HOME}
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OPENCV = -I$(opencv_home)/include -L$(opencv_home)/lib64 -lopencv_superres -lopencv_ml -lopencv_objdetect \
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