Win10+CTPN訓練過程（填坑）

1、下載下傳代碼：https://github.com/eragonruan/text-detection-ctpn

2、在utils/bbox檔案夾，python setup.py instll, 生成build檔案夾，将.pyd檔案複制到utils/bbox

3、運作demo，從https://pan.baidu.com/s/1BNHt_9fiqRPGmEXPaxaFXw 下載下傳checkpoints_mlt,并複制到項目的main目錄；

     運作報錯：ValueError: Buffer dtype mismatch, expected 'int_t' but got 'long long'：

     解決：https://www.jianshu.com/p/027e9399e699?tdsourcetag=s_pctim_aiomsg（舊版tf是cython_nms.pyx,新版是nms.pyx）

step 1:make some change
change "np.int_t " to "np.intp_t" in line 25 of the file lib\utils\cython_nms.pyx
otherwise appear " ValueError: Buffer dtype mismatch, expected 'int_t' but got 'long long' " in step 6.

## cython_nms.py/nms.py

step 2:updata c file
execute:cd your_dir\text-detection-ctpn-master\lib\utils
execute:cython bbox.pyx
execute:cython cython_nms.pyx

step 3:builf setup file as setup_new.py
import numpy as np
from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
numpy_include = np.get_include()
setup(ext_modules=cythonize("bbox.pyx"),include_dirs=[numpy_include])
setup(ext_modules=cythonize("cython_nms.pyx"),include_dirs=[numpy_include])

step 4:build .pyd file
execute:python setup_new.py install
copy bbox.cp36-win_amd64.pyd and cython_nms.cp36-win_amd64.pyd to your_dir\text-detection-ctpn-master\lib\utils

step 5:make some change
(1) Set "USE_GPU_NMS " in the file \ctpn\text.yml as "False"
(2) Set the "_*C.USE_GPU_NMS" in the file \lib\fast_rcnn\config.py as "False";
(3) Comment out the line "from lib.utils.gpu_nms import gpu_nms" in the file \lib\fast_rcnn\nms_wrapper.py;
(4) Comment out the line "from . import gpu_nms" in the file \lib\utils_*init**.py;
(5) change "base_name = image_name.split('/')[-1]" to "base_name = image_name.split('\')[-1]" in line 24 of the file ctpn\demo.py

step 6:run demo
execute:cd your_dir\text-detection-ctpn-master
execute:python ./ctpn/demo.py
           

3、下載下傳預訓練模型 

      https://github.com/tensorflow/models/tree/1af55e018eebce03fb61bba9959a04672536107d/research/slim

放在在main/data/imagenet_weights（路徑根據檔案來，注意命名）

4、下載下傳資料集（自己的資料集）https://pan.baidu.com/s/1nbbCZwlHdgAI20_P9uw9LQ，

      另外，您可以根據以下步驟準備自己的數 據集。 根據您的資料集，在utils / prepare / split_label.py中修改DATA_FOLDER和OUTPUT。 然後在根目錄下運作split_label.py

python ./utils/prepare/split_label.py
           

它将在data / dataset /中生成準備好的資料；

split_label.py的輸入檔案格式示範可在gt_img_859.txt中找到。 并且split_label.py的輸出檔案是img_859.txt。 準備的資料的示範圖像如下所示。

5、train.py

absl.flags._exceptions.IllegalFlagValueError: flag --decay_rate=0.1: Expect argument to be a string or int, found <class 'float'>

解決：将運作的該檔案内的 ，指定參數中的flags.DEFINE_integer 改為flags.DEFINE_float（http://www.matools.com/blog/190357814）

又遇到程序啟動問題：AttributeError: Can't pickle local object 'GeneratorEnqueuer.start.<locals>.data_generator_task'

解決：将data_provider.py中第81行的use_multiprocessing改為False，又遇到ValueError: generator already executing

真的是難啊。。。下面解決示意圖

終于可以運作了，風扇開始轟鳴...