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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no simi…
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Hello,
I am trying to use this python module to either denoise or recreate the input data. I have the following code to try and train your model to denoise a few images coming from the CIFAR10 dat…
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Unconditional generation was used, the input to the model was clear images, and after the training was completed the training set plus random noise was used for testing, and it appeared that the test …
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I would like to train the detection model further beyond those provided to see if I can improve results on a specific dataset.
I would like to include images from some of the dataset I have in the…
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Hi,
Is this repository allow considering negative images as well for training? For example, while training a cat detector, one may have some images containing cats (+ve images) and some images do n…
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Dear authors,
Hi,
Mickey is a great work inspiring features representation, learning, and pose estimation.
I am wondering and trying whether I can apply it to the field of autonomous driving…
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I noticed that the training data preprocessing step, the HR images using **"crop_sub_imgs_fn"** to rescaled to the target size, while the LR images using **"downsample_fn"**. Besides, the "crop_sub_im…
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Hello,
First of all, thank you very much for the implementation you have done. it has saved us a lot of time. it's really a great job
I am trying to do super resolution on 64*64 to 256*256 imag…
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Hi,
Thank you again for open-sourcing your training code. When trying to reproduce the training result, I wonder why you choose to use "triplet tuples" rather than "pair of images" for training. An…