Faster-RCNN-TensorFlow-Python3
Tensorflow Faster R-CNN for Windows and Linux by using Python 3
Currently, this repository supports Python 3.5, 3.6 and 3.7. Thanks to @morpheusthewhite
Train
Install tensorflow, preferably GPU version. Follow instructions. If you do not install GPU version, you need to comment out all the GPU calls inside code and replace them with relavent CPU ones.
Install python packages (cython, python-opencv, easydict) by runningpip install -r requirements.txt (if you are using an environment manager system such as conda you should follow its instruction)
Go to ./data/coco/PythonAPIRun python setup.py build_ext --inplaceRun python setup.py build_ext install
Go to ./lib/utils and run python setup.py build_ext --inplace
Follow these instructions to download PyCoco database.I will be glad if you can contribute with a batch script to automatically download and fetch. The final structure has to look like data\VOCDevkit2007\VOC2007
Download pre-trained VGG16 from here and place it as data\imagenet_weights\vgg16.ckpt.For rest of the models, please check here
修改类别
lib/pascal_voc.py
self._classes = ('__background__',
'自己的类别')
模型保存参数：默认迭代5000次保存一下训练模型，修改config参数
lib/config.py
tf.app.flags.DEFINE_integer('snapshot_iterations',50,"Iteration to take snapshot")
Run train.py
