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Add RIFE_m evaluation

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hzwer
2021-11-15 23:41:04 +08:00
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@@ -110,7 +110,7 @@ docker run --rm -it --gpus all -v /dev/dri:/dev/dri -v $PWD:/host rife:latest in
```
## Evaluation
Download [RIFE model](https://drive.google.com/file/d/1h42aGYPNJn2q8j_GVkS_yDu__G_UZ2GX/view?usp=sharing) reported by our paper.
Download [RIFE model](https://drive.google.com/file/d/1h42aGYPNJn2q8j_GVkS_yDu__G_UZ2GX/view?usp=sharing) or [RIFE_m model](https://drive.google.com/file/d/147XVsDXBfJPlyct2jfo9kpbL944mNeZr/view?usp=sharing) reported by our paper.
**UCF101**: Download [UCF101 dataset](https://liuziwei7.github.io/projects/VoxelFlow) at ./UCF101/ucf101_interp_ours/
@@ -129,6 +129,10 @@ python3 benchmark/MiddleBury_Other.py
# "IE: 1.956"
python3 benchmark/HD.py
# "PSNR: 32.14"
# RIFE_m
python3 benchmark/HD_multi_4X.py
# PSNR: 22.957132606703333(544*1280), 31.871078606228604(720p), 34.25086674776585(1080p)
```
## Training and Reproduction