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My solution to science bowl 2018
Hi, thanks for your code. I checked your current score about 0.36 LB. It is too low than standard implementation of mask rcnn ( I got 0.41). I would like to suggest you some schemes:
This is my setting to achieve above score
IMAGES_PER_GPU = 2
GPU_COUNT = 1
NUM_CLASSES = 1 + 1 # Background + Nuclei
USE_MINI_MASK=True
MINI_MASK_SHAPE = (56,56)
RPN_ANCHOR_SCALES = (8, 16, 32, 64,128)
RPN_ANCHOR_RATIOS = [0.25, 0.5, 1, 2, 4]
RPN_NMS_THRESHOLD = 0.7
IMAGE_CROP_WIDTH=128
IMAGE_CROP_HEIGHT=128
DETECTION_MAX_INSTANCES = 200
RPN_TRAIN_ANCHORS_PER_IMAGE = 512
RPN_NMS_THRESHOLD = 0.6
MAX_GT_INSTANCES = 200
DETECTION_MIN_CONFIDENCE = 0.6
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