Closed 2994dd42d75b0 closed 5 months ago
Thank you for paying attention to our work and making suggestions. We have tried all the methods you said, and it cannot be significantly accelerated significantly. A more cost-effective approach is to wait for faster and more advanced vfi algorithms to instead
Thanks for reply I'll wait for gmfss.
Using GPU to covert and combine frames ffmpeg -i in.mkv -crf 16 -r 24000/1001-preset slow -c:v hevc_nvenc -profile:v main10 -c:a copy out.mkv
ffmpeg -r 60 -thread_queue_size 5120 -i /O/%09d.png -i out.mkv -map 0:v -map 1:a -map 1:s -preset slow -gpu 0 -c:v hevc_nvenc -profile:v main10 -c:a copy output.mkv
Parallelize Frame Reading: Use multiple threads to read and resize frames concurrently.
Use PyTorch DataLoader: Utilize torch.utils.data.DataLoader for batch processing and to handle data loading efficiently.
Batch Inference: Ensure inference is performed on batches of frames instead of one frame at a time.
Can this increase speed,My vram is not fully used Rife is fast but gmfss is very slow