Install cocoapi
git clone https://github.com/RogerChern/cocoapi.git#subdirectory=PythonAPI’
cd cocoapi
2to3 . -w
python setup.py install
Install dependency
sudo apt-get update
sudo apt-get install -y build-essential git
sudo apt-get install -y libopenblas-dev
Specify simpledet directory
export SIMPLEDET_DIR=/path/to/simpledet
export COCOAPI_DIR = /path/to/cocoapi
git clone https://github.com/apache/incubator-mxnet mxnet
cd mxnet
git checkout 1.3.1
git submodule init
git submodule update:
echo “USE_OPENCV = 0” >> ./config.mk
echo “USE_BLAS = openblas” >> ./config.mk
echo “USE_CUDA = 1” >> ./config.mk
echo “USE_CUDA_PATH = /usr/local/cuda” >> ./config.mk
echo “USE_CUDNN = 1” >> ./config.mk
echo “USE_NCCL = 1” >> ./config.mk
echo “USE_DIST_KVSTORE = 1” >> ./config.mk
cp -r $SIMPLEDET_DIR/operator_cxx/* src/operator/
mkdir -p src/coco_api
cp -r $COCOAPI_DIR/common src/coco_api/
make -j
cd python
本教程详细介绍了如何安装COCO API并配置SimpleDet环境,包括依赖项安装、目录设置、mxnet编译配置及源码修改等步骤,适用于计算机视觉领域的算法开发者。
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