该脚本用于快速准备好 object detection 所需要的代码环境。
如脚本运行出错,则确保已安装 git
, protobuf-compiler
, make
, python3
以及 python 下的 cython
, matplotlib
。
更多说明请参考 https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md
#!/bin/bash # Description: 快速更新至最新 tensorflow-models 代码 # Author: liujun # Date: 2019-05-28 set -e if [[ ! -d "./models" ]]; then # 如果未存在 models ,则先下载 echo "== 01 == 未找到 models 目录,准备下载。" git clone https://github.com/tensorflow/models.git echo "== 02 == 下载 models 完毕。" else # 还原并更新代码 echo "== 01 == 还原并更新 models 代码开始。" cd models git reset --hard git clean -xdf git checkout master git pull cd .. echo "== 02 == 还原并更新 models 代码完毕。" fi # 如果未存在 cocoapi ,则先下载 if [[ ! -d "./cocoapi" ]]; then echo "== 03 == 未找到 cocoapi 目录,准备下载。" git clone https://github.com/cocodataset/cocoapi.git echo "== 04 == 下载 cocoapi 完毕。" else # 还原并更新代码 echo "== 03 == 还原并更新 cocoapi 代码开始。" cd cocoapi git reset --hard git clean -xdf git checkout master git pull cd .. echo "== 04 == 还原并更新 cocoapi 代码完毕。" fi # 编译 cocoapi 并拷贝到 models 中。 echo "== 05 == 准备编译 cocoapi 。" cd ./cocoapi/PythonAPI # make python3 setup.py build_ext --inplace rm -rf build cd ../../ echo "== 06 == 编译 cocoapi 完毕。" rm -rf ./models/research/pycocotools/ cp -a ./cocoapi/PythonAPI/pycocotools ./models/research/pycocotools echo "== 07 == 已拷贝 cocoapi 至 models 中。" # 编译 models object detection 。 echo "== 08 == 准备编译 object detection 。" cd ./models/research protoc ./object_detection/protos/*.proto --python_out=. cd ../../ echo "== 09 == 编译 object detection 完毕。"