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Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

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Hey, It's a pretty work. I also conduct some comparison experiments in video frame interpolation. But I have several questions in some details. I've been trying to run this code...

Retorna um vídeo de mp4 que não roda.

The result video can't be played because the file is corrupt or missing appropriate codecs.

Thanks to open source for this amazing work! I have two questions about the hsergb dataset. ``` python test_loader.py --dataset_root data/hsergb --dataset_type close --sequence spinning_umbrella --sample_index 400 ``` ![image](https://user-images.githubusercontent.com/15975091/142828153-6b378137-693c-4c39-9790-0f50ce791ffd.png) ```...

``` (timelens) C:\Users\kurs\Documents\rpg_timelens>python -m timelens.run_timelens checkpoint.bin C:\Users\kurs\Desktop\rpg_events C:\Users\kurs\Desktop\rpg_upsampled_1 C:\Users\kurs\Desktop\output Processing . 100%|█████████████████████████████████████████████████████████████████████████████| 1392/1392 [00:02

The paper mentioned "We finetune our network on real data module-by-module in the order of training" in section 3, so can the real data for fine-tuning be released for our...

I am getting some artifacts in the output interpolated frames while using your evaluation code on some other data so I am trying to fine tune the network with that...

Thank you for sharing this project. I'd like to know the pytorch version you operate.

So I used your uploaded notebook TimeLens.ipynb for interpolating video frames. So I gave input 595 images in the format specified and was expecting output as interpolated image frames. I...