This is a tensorflow program of Mask_RCNN
you should create three folders before train: "coco", "checkpoint" and "logs"
put you coco dataset in "coco" folder, it has three sub folder: train2014, val2014 and annotations
the model will be saved in "checkpoint" folder and the training log will be saved in "logs".
put checkpoint files in "checkpoint" folder
run "python demo.py"
it will get image in "images" folder and predict
prepare training dataset as readme file in coco
run "python coco_train.py"