Jony Jiang
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issues of
Jony Jiang
my dataset config: val_pipeline = [ dict(type='Resize', size=224), dict(type='ToTensor'), dict(type='Normalize', **img_norm_cfg), ] data = dict( samples_per_gpu=16, # 256*16(gpu)=4096 workers_per_gpu=4, train=dict( type=dataset_type, data_source=dict( type=data_source, data_prefix='data/imagenet/train', ann_file='data/imagenet/meta/train.txt', ), num_views=[1, 1], pipelines=[train_pipeline1, train_pipeline2],...
Recently, I got the problem when trained model with own data. ![image](https://user-images.githubusercontent.com/75117639/137444954-86d3ac1b-cf50-4410-857f-eb5dc7254197.png) Dice score is unchanged and close to 0, but the same data is in another unet version(keras), test...