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eccv20_multi_task_procedure_learning's Issues

Possibly incorrect frame count in class ProceLDataset

Hey!

While extracting features for the ProceL dataset, I noticed that you have added the self.num_files by 1.

idx_frames = range(1,self.num_files+1)

Due to the addition, the rest of the code was taking one extra file and raising an error when the corresponding image file was not present. However, I was able to run through all the frames without adding 1. Could you please let me know why you had to do it?

Also, here:

self.img_names = pd.Series([str('{0:0>6}'.format(x))
for me {0:0>7} works as there were 7 digit long image names. I am not sure at what stage the naming convention changed. Do let me know if you have any idea about it.

Regards,
Siddhant Bansal

full copy of videos

Hi, since some videos of Procel Dataset are missing or private now, shall you share a full copy of this dataset? Thanks.

raw_data_dir not present in global_setting

Hey!

The script FeatureVGGDataset.py imports and uses raw_data_dir from global_setting. However, raw_data_dir variable is not declared in global_setting.

For my purpose, I was able to run the code by setting raw_data_dir to None in global_setting. However, I guess, we should add a condition in FeatureVGGDataset.py at line 41

self.raw_data_dir = raw_data_dir#'/mnt/raptor/datasets/ProceL_Dat/'
for avoiding the error when we do not want to visualise the dataset.

Regards,
Siddhant Bansal

key 'superframe_time' not in .mat files provided in the ProceL dataset

Hey!

The following part of the code requires the .mat file to have the key named superframe_time

n_segments = len(mat_data[category]['superframe_frame'][video_no][0])
j = 1
segment_video_list = []
for s in range(n_segments):
first_frame = mat_data[category]['superframe_frame'][video_no][0][s][0]
last_frame = mat_data[category]['superframe_frame'][video_no][0][s][1]

However, superframe_time is not in the annotations provided in ProceL. The list of available keys are 'caption', 'caption_frame', 'caption_time', 'framerate', 'grammar', 'key_steps_frame', 'key_steps_segment', 'key_steps_time', 'segment_frame', 'segment_time'.

Can you please shed some light on the possible reason for this issue?

Regards,
Siddhant Bansal

Trained model's availability

Hello, thank you for providing the implementation of your paper! I was trying to replicate the results in the paper. Will it be possible for you to share the models trained for this work?

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