Update README.md

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zhangmozhe
2020-12-02 21:20:29 +08:00
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@@ -66,12 +66,13 @@ python test.py --clip_path ./sample_videos/clips/v32 \
Note that we use 216\*384 images for training, which has aspect ratio of 1:2. During inference, we scale the input to this size and then rescale the output back to the original size.
## Colorization results
## Comparison with State-of-the-Arts
<figure>
<img src='assets/sample1.png'/>
</figure>
## More results
<figure>
<img src='assets/sample2.png' />
</figure>