Hello, I wonder if it is feasible to directly infer our dataset (replace the Charades dataset with our dataset with the same structure in DATASET.md) using your trained models?
I ran the following command: (The folder “trained_models/charades_r50_lfb_nl/” contains your trained model 100866795 lfb_model.pkl and model_final.pkl downloaded from README.md.)
Traceback (most recent call last):
File "tools/test_net.py", line 205, in <module>
main()
File "tools/test_net.py", line 201, in main
test_net()
File "tools/test_net.py", line 94, in test_net
test_one_crop(lfb=lfb, suffix='_final_test')
File "tools/test_net.py", line 126, in test_one_crop
test_model.build_model(lfb=lfb, suffix=suffix, shift=shift)
File "./lib/models/model_builder_video.py", line 105, in build_model
shift=shift,
File "./lib/datasets/dataloader.py", line 411, in get_input_db
shift=shift, lfb=lfb, suffix=suffix)
File "./lib/datasets/charades.py", line 89, in __init__
len(self._image_paths), len(self._lfb))
AssertionError: num videos 60 != num videos in LFB 1
I don't understand why “num videos in LFB is 1”? Could you tell me how to solve the problem? Thank you very much!
Hello, I wonder if it is feasible to directly infer our dataset (replace the Charades dataset with our dataset with the same structure in DATASET.md) using your trained models?
I ran the following command: (The folder “trained_models/charades_r50_lfb_nl/” contains your trained model 100866795 lfb_model.pkl and model_final.pkl downloaded from README.md.)
But got an error:
I don't understand why “num videos in LFB is 1”? Could you tell me how to solve the problem? Thank you very much!