my_auro.7z

极光数据

Mask_RCNN_oct.zip

Implement lots of new methods and components (Mixed Precision Training, HTC, Libra R-CNN, Guided Anchoring, Empirical Attention, Mask Scoring R-CNN, Grid R-CNN (Plus), GHM, GCNet, FCOS, HRNet, Weight Standardization, etc.). Thank all collaborators! Support two additional datasets: WIDER FACE and Cityscapes. Refactoring for loss APIs and make it more flexible to adopt different losses and related hyper-parameters

change_CT_to_gray.py

from rgb to gray but keep 3 channels。仅仅为个人笔记，又需要的可以download