NLDF-pytorch
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training set and testing set in ECSSD
I choose 700 pictures as training set and 300 pictures as testing set in ECSSD, however, the results are "average mae: 0.0858, max fmeasure: 0.8757", which has a large difference. Can you tell me how to choose training set and testing set correctly?
The ECSSD dataset have already divided the train, val and test.
if you want to train on ECSSD please using follow lines: https://github.com/AceCoooool/NLDF-pytorch/blob/7c4a5dddab277c6136378e1592ef7c287b60d314/main.py#L40
when I download ECSSD, why it does not divided into the train, val and test?
BaiDuYun:链接: https://pan.baidu.com/s/1_K-uCyS3yETzTxfnZNz3Aw 提取码: w4gq
I am not sure whether it's divided by myself ? (I do not update this resposity for a long time, I am sorry)
thank you very much!
Besides, " python main.py --mode='test', --test_path='you_data' --test_label='your_label' --batch_size=1 --model='your_trained_model' " the comma after 'test' should be erased.