Comments (1)
Hi, I just calculated the mean and std of the images from the combination of the two datasets, which are hard coded in line 64-69. But actually if you are using ImageNet pretrained weights (I would strongly suggest so), you should do ImageNet preprocess (like lines 60, 61 in TensorFlow or the mean and std in Pytorch).
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Related Issues (20)
- About dataset HOT 5
- Training HOT 10
- AttributeError: 'MyCSVLogger' object has no attribute 'file_flags' HOT 1
- Accuracy and loss function visualisation HOT 1
- Could you please provide me a copy of the CSIQ dataset? HOT 1
- Does the sequence of datasets need to shuffle? In the code, shuffle is set False HOT 8
- OOM HOT 4
- δΈθ½θΏθ‘ image_quality_prediction.py HOT 1
- The test set HOT 2
- Issue with Training - Generator error HOT 5
- Same output for every input image HOT 6
- training HOT 2
- Input HOT 5
- plcc HOT 4
- TRIQ failure on images of particular size range HOT 1
- request for trained model
- Save model config data
- save model architecture HOT 1
- dataset HOT 1
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