This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.
Windows/Linux + Keras >= 2.0.8 + TensorFlow >= 1.3.0
pip install -r requirements.txt
pip install labelme
labelme
mkdir train_data
train_data
|-json
|-labelme_json
|-pic
|-cv2_mask
mask_rcnn_coco.h5
- BaiDuYun:https://pan.baidu.com/s/1CmcfVleyw7QpVZRo3JxS2w code:tf7f
python train_shape.py
python test_shape.py