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hzwer
2020-11-26 18:47:55 +08:00
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README.md
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@@ -93,8 +93,8 @@ We will release our training and benchmark validation code soon.
**Vimeo90K** **Vimeo90K**
Download [Vimeo90K dataset](http://toflow.csail.mit.edu/) at ./vimeo_interp_test Download [Vimeo90K dataset](http://toflow.csail.mit.edu/) at ./vimeo_interp_test
``` ```
$ python3 Vimeo90K_benchmark.py $ python3 benchmark/Vimeo90K_benchmark.py
(You will get 35.695PSNR and 0.9788SSIM) (Final result: "Avg PSNR: 35.695 SSIM: 0.9788")
``` ```
## Citation ## Citation

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benchmark/Vimeo90K_benchmark.py
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@@ -37,4 +37,4 @@ for i in f:
psnr = -10 * math.log10(((I1 - mid) * (I1 - mid)).mean()) psnr = -10 * math.log10(((I1 - mid) * (I1 - mid)).mean())
psnr_list.append(psnr) psnr_list.append(psnr)
ssim_list.append(ssim) ssim_list.append(ssim)
print(np.mean(psnr_list), np.mean(ssim_list)) print("Avg PSNR: {} SSIM: {}".format(np.mean(psnr_list), np.mean(ssim_list)))