[Fix] Fix bug in restoration_video_inference.py

[ckkelvinchan]

Motivation

In restoration_video_inference.py, when using

for i in range(0, data.size(1) - window_size):

a part of the input frames is omitted. This results in fewer output frames.

Modification

This PR fixes the bug and replace the original command by

for i in range(0, data.size(1) - 2 * (window_size // 2)):

[innerlee]

Can this be tested?

[ckkelvinchan]

Can this be tested?

The unittests stucked at Install CUDA.

[innerlee]

Do all vid models require cuda?

[ckkelvinchan]

Do all vid models require cuda?

Not really, and those apis for inference are actually not included in unittests.

[innerlee]

Would you like to have a try? You can use a dummy model in the test (say, one layer, as long as the input/output format is good)

[innerlee]

Our general philosophy is to test everything 😃

[ckkelvinchan]

Would you like to have a try? You can use a dummy model in the test (say, one layer, as long as the input/output format is good)

Sure, let me think about how to write a test for it.

[codecov]

Codecov Report

Merging #379 (df83ee6) into master (7328829) will increase coverage by 0.01%.
The diff coverage is 0.00%.

@@            Coverage Diff             @@
##           master     #379      +/-   ##
==========================================
+ Coverage   80.44%   80.45%   +0.01%     
==========================================
  Files         185      186       +1     
  Lines        9889     9911      +22     
  Branches     1441     1444       +3     
==========================================
+ Hits         7955     7974      +19     
- Misses       1742     1744       +2     
- Partials      192      193       +1     

Flag	Coverage Δ
unittests	80.43% <0.00%> (+0.01%)	⬆️

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Impacted Files	Coverage Δ
mmedit/apis/restoration_video_inference.py	21.42% <0.00%> (ø)
...medit/models/components/discriminators/__init__.py	100.00% <0.00%> (ø)
...edit/models/components/discriminators/ttsr_disc.py	85.71% <0.00%> (ø)

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