modified setup-cpu.sh and setup.sh

models/text.data

@@ -0,0 +1,6 @@
+classes= 2
+train  = train.txt
+valid  = test.txt
+names  = ../models/text.names
+backup = backup
+

setup-cpu.sh

@@ -1,12 +1,13 @@
 ##CPU 环境配置，支持linux\macOs
 conda create -n chineseocr python=3.6 pip scipy numpy jupyter ipython ##运用conda 创建python环境
 source activate chineseocr
-pip install easydict opencv-contrib-python,Cython  -i https://pypi.tuna.tsinghua.edu.cn/simple/ ##选择国内源，速度更快
+git submodule init && git submodule update
+cd darknet/ && make && cd ..
+pip install easydict opencv-contrib-python Cython  -i https://pypi.tuna.tsinghua.edu.cn/simple/ ##选择国内源，速度更快
 pip install -U pillow -i https://pypi.tuna.tsinghua.edu.cn/simple/
 pip install  h5py lmdb mahotas pandas -i https://pypi.tuna.tsinghua.edu.cn/simple/
 pip install requests
 pip install web.py==0.40.dev0
 conda install pytorch=0.2.0  torchvision -c soumith
-cd detector/utils
-sh make-for-cpu.sh
+pushd detector/utils && sh make-for-cpu.sh && popd
 

setup.sh

@@ -1,12 +1,12 @@
 ##环境配置，支持linux\macOs
 conda create -n chineseocr python=3.6 pip scipy numpy jupyter ipython ##运用conda 创建python环境
 source activate chineseocr
-pip install easydict opencv-contrib-python,Cython  -i https://pypi.tuna.tsinghua.edu.cn/simple/ ##选择国内源，速度更快
+git submodule init && git submodule update
+pip install easydict opencv-contrib-python Cython  -i https://pypi.tuna.tsinghua.edu.cn/simple/ ##选择国内源，速度更快
 pip install -U pillow -i https://pypi.tuna.tsinghua.edu.cn/simple/
 pip install  h5py lmdb mahotas pandas,requests -i https://pypi.tuna.tsinghua.edu.cn/simple/
 pip install web.py==0.40.dev0
 conda install pytorch=0.2.0 cuda80  torchvision -c soumith
-cd detector/utils
-sh make.sh
+pushd detector/utils && sh make-for-cpu.sh && popd