Ruoshi Liu

Can't reproduce reported results

8

Hi, I ran the exact argument you provided in the README.md file `python run.py --data_dir=./data --num_epochs=30 --log_dir=./logs --batch_size=1024 --num_layers=2 --cell_type=hyp_gru` which yields a loss of **0.678** and precision of **~56%**...

The sample command you give in the README.md file is `python run.py --data_dir=./data --num_epochs=30 --log_dir=./logs --batch_size=1024 --num_layers=2 --cell_type=hyp_gru` But I notice there are two arguments in `run.py`: `embedding_type` and `decision_type`,...

Hi, I see that in your code, you get ray_vector by subtracting the camera origin (camera_world) from the pixel (p_world) `ray_vector = camera_world - p_world.` I'm wondering if this ray_vector...

Your model is different from ConvLSTM proposed in this paper: https://arxiv.org/abs/1506.04214, where 2D-LSTM is applied to output of each convolution layer in a CNN, usually used for pixel-level video prediction....

Thanks for sharing the repo! ```extract_frames(video_path, time_left)``` should be ```extract_frames(video_path)``` https://github.com/eriklindernoren/Action-Recognition/blob/b43ec097ab293ac8d83aac02b5addd27686ebe8c/data/extract_frames.py#L42

Hi @bebeal, thank you for the awesome implementation. I'm wondering if you are planning to update support for Mip-NeRF-360 anytime soon?

Key parameter to reduce VRAM

1

Hi, thanks again for releasing the code! If I'd like to retrain the model to reduce the VRAM usage, what are some key parameters/configurations I can tune? Thanks!

Batch size > 1

1

Hi, thanks for releasing the code! I'm wondering if it's possible to train/test with a batch size bigger than 1? What's the reason a batch size of 1 is used...

Getting this error for all files related to avatarrex_zzr