When training using ``

[Chen Zhutian]

When I try to run the training using train_1st_phase, it shows that

fileNotFoundError: [Errno 2] No such file or directory: '../../dataset/training/images/game_2/img_111667.jpg'

Could you please help?

[Nguyen Mau Dzung]

Hi Chenzhutian,

How did you extract images from videos?
You should execute python extract_smooth_labellings.py to extract images when you set an argument ----smooth-labelling in train bash shell scripts. (I will update the instruction for data preparation soon)

[Chen Zhutian]

Hi @maudzung ,

Thank you for your reply.
I use python extract_selected_images.py to extract images from the videos.
Now I am running the extract_all_images.py, but it is really slow.

[Nguyen Mau Dzung]

You can execute python extract_all_images.py to extract all images in videos, but I don't recommend to do that.
To save your time and your resource, you just need to run python extract_smooth_labellings.py.
Anw, grab a cup of coffee and have fun coding 👍

[Chen Zhutian]

Awesome. I have stoped and now runing extract_smooth_labellings.py.
BTW, may I ask what are the differences between extract_smooth_labellings.py and extract_selected_images.py?

[Nguyen Mau Dzung]

• extract_selected_images.py: Extract images based on events given in the annotation files. For example, if an event occurs at frame #10, we need to extract from frame #6 to frame #14.
• extract_smooth_labellings.py: The smooth labeling technique is mentioned in the paper (part 5.2). This script is to extract images based on smoothed events.