Open dpyneo opened 4 months ago
A very impressive job. There are several issues when using SkyTimelapse data for image and video pre training
- From utils import (clip_gradnorm, create'logger, update_ema,
Requires_grad, cleanup, create_tensorboard,
Write_tensorboard, setup_distributed, fetch files by numbers,
Fetch files by numbers and separation content motion were not found in utils in get_experiment_dir, separation content motion,)
"ImportError: Unable to import the name 'fetch files by num bers' from' utils' (Last/utils. py). After commenting out the corresponding file, it is sufficient. Can you ask what this mainly does? Does it directly use the original video?" Commenting out directly is not a problem, right? "”
- If args. dataset=='webvideo2mlaion ':
Traceback (most recent call last):
File "/data/zqzx/latte/latte_main/latte/train_with_img. py", line 361, in
Main (OmegaConf. load (args. config))
File "/data/zqzx/latte/latte_main/latte/train_with_img. py", line 221, in main
Logger. info (f "Dataset contains {len (dataset):,} videos ({args. webvideo_data_path})")
File "/data/miniconde3/envs/yxl/lib/python3.9/site packages/omegaconf/docconfiguration. py", line 355, in _getattr__
Self_ Formad_and_raise()
This can be directly solved by adding the corresponding solution to the sky_img_train.yaml corresponding to the actual video, which is. mp4? Or can we think of our own video dataset through this path?
- If args. test_run: After commenting it out directly, it can be run now
Thank you.
Thank you very much
A very impressive job. There are several issues when using SkyTimelapse data for image and video pre training
Requires_grad, cleanup, create_tensorboard,
Write_tensorboard, setup_distributed, fetch files by numbers,
Fetch files by numbers and separation content motion were not found in utils in get_experiment_dir, separation content motion,)
"ImportError: Unable to import the name 'fetch files by num bers' from' utils' (Last/utils. py). After commenting out the corresponding file, it is sufficient. Can you ask what this mainly does? Does it directly use the original video?" Commenting out directly is not a problem, right? "”
Traceback (most recent call last):
File "/data/zqzx/latte/latte_main/latte/train_with_img. py", line 361, in
Main (OmegaConf. load (args. config))
File "/data/zqzx/latte/latte_main/latte/train_with_img. py", line 221, in main
Logger. info (f "Dataset contains {len (dataset):,} videos ({args. webvideo_data_path})")
File "/data/miniconde3/envs/yxl/lib/python3.9/site packages/omegaconf/docconfiguration. py", line 355, in _getattr__
Self_ Formad_and_raise()
This can be directly solved by adding the corresponding solution to the sky_img_train.yaml corresponding to the actual video, which is. mp4? Or can we think of our own video dataset through this path?
Thank you.