Comments (2)
mx54039q
commented on August 21, 2024
Our models are pretrained on 256x256 images and then trained on 384x384 images, which probably is the reason for the performance on high-resolution images. My recommendation is to expand the size of the images.
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sonainjameel
commented on August 21, 2024
Thanks, I will try and if I face any issue, I will let you know.
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Related Issues (18)
- When will the code be revealed? HOT 2
- Decompressed HOT 4
- 为什么用不同的预训练模型，得到的二进制文件的大小都是一样的 HOT 3
- torchac 中的BitInputStream类 HOT 3
- 关于parallel模型的RD数据 HOT 1
- 关于bpp的计算
- 关于bpp的计算 HOT 2
- 请问您在编码部分，为什么要将图像乘2再减1呢 HOT 4
- 运行demo时出现valueerror
- I can't wait to see the code！friends, hurry up！ HOT 1
- About prob_model and training HOT 6
- About pretrain and finetune HOT 5
- The RD points on Kodak HOT 4
- Compressed binary file size HOT 7
- Kodak dataset 在低码率上就达到很高的psnr HOT 4
- Checkpoint for psnr = 37.72 HOT 3
- 训练集的获取与图片选择 HOT 3
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