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fix random_flip setting#30
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parser.add_argument('--random_flip', default=True, type=bool, help='if horizontally flip images when training')as new script's line 252parser.add_argument('--random_flip', default=True, type=lambda x:bool(strtobool(x)), help='if horizontally flip images when training')let it be available to set bool option in .sh
wudonghao commentedMay 9, 2018
I CAN'T RUN IT FOR |
shlykov2 commentedMar 25, 2019
had the same issue, fixed with adding "feed_dict = feed_dict[0]" at the start of forward function in SegmentationModule class in models.py. Could please some1 tell me whether it spoils the training? |
wjqqy commentedApr 25, 2019
i also meet the problem,but i fix the feed_dict['img_data'] to feed_dict[0]['img_data'] |
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parser.add_argument('--random_flip', default=True, type=bool,
help='if horizontally flip images when training')
random_flip will always be True, although we run 'python train.py --random_flip False'