Comments (1)
Thank you for your interest in CURL:
- Please see related issue here
- A groundtruth file is not specifically required for inference unless you want to compute quality metrics. You can edit the code to skip evaluation and perform inference on images that do not have an associated groundtruth image.
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Related Issues (20)
- how to train the raw data(unit16) to jpg without quality loss HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: './pretrained_models/curl_validpsnr_23.073045286204017_validloss_0.0701291635632515_testpsnr_23.584083321292365_testloss_0.061363041400909424_epoch_510_model.pt' HOT 2
- it seems the batch size must be 1? HOT 1
- Problems when using images of size 256x256 HOT 2
- Lightroom image exporting HOT 2
- hi,is it normal for loss HOT 1
- RuntimeError: Given groups=1, weight of size [16, 3, 3, 3], expected input[1, 4, 343, 514] to have 3 channels, but got 4 channels instead HOT 1
- ZeroDivisionError: float division by zero HOT 2
- The weights and the architecture are not the same HOT 1
- running code without CUDA HOT 19
- Batch size > 1 version HOT 2
- Inference Pretrained Model with CPP scratch HOT 1
- Bigger Batch size HOT 1
- Can't reproduce results HOT 1
- Training/Validation/Test splits link is down HOT 1
- Doubt about results HOT 4
- 请教一下这块实现的原理 HOT 2
- dim HOT 1
- Pretrained model results
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