Closed AIRedWood closed 5 years ago
1 The psnr print after testing is the same, because it get psnr on directly output and the model always output 1 channel image. When you choose output RGB, the other 2 channel is bicubical resized to target resolution.
PSNR on luminance channel is always better and because of historical reason, we always compare on that channel.
I have tested with the latest commit:
python run.py --model vespcn --test vid4
and python run.py --model vespcn --infer /data/vid4/input
all show progress 1..171/171.
Hello, I trained vespcn with VSRtorch and tested it, but the results of the test are not ideal, psnr is only 23.50. I have considered several reasons: