| Line 22: | Line 22: | ||
[[File:guichu.txt]] | [[File:guichu.txt]] | ||
Copy the txt file to a empty .py file : | Copy the txt file to a empty .py file :D (.py file can't be uploaded, I wonder why @_@) | ||
#library srt link: https://github.com/cdown/srt | #library srt link: https://github.com/cdown/srt | ||
#pip install -U srt | #pip install -U srt | ||
Revision as of 22:14, 28 November 2019
This Assignment is a bit different. There is no precise instruction. Goal is to edit video according to image analysis, or more specifically: Object recognition. For this assignment everyone needs to communicate to coordinate the effort and share ideas how to reach that goal. Edit this page here.
Example
Object detection using OpenCV and YOLO.
Input
Output
Here is the good olde color tracking in the new fancy clothes of "heuristics" https://towardsdatascience.com/real-time-object-detection-without-machine-learning-5139b399ee7d
- cloud annotations
- Tracking Motion Detection this page is very much outdated since machine learning has become a thing
Auto_detecting_words_in_srt
Copy the txt file to a empty .py file :D (.py file can't be uploaded, I wonder why @_@)
- library srt link: https://github.com/cdown/srt
- pip install -U srt
- copy paste srt file as in the code (focus on the format at head and tail)
- it returns a sequence of subtitle classes object, contains index,time, content, etc.
- using for loop searching desired word in every object.content.
- it returns the time interval at the start and the end
- use srt.timedelta_to_srt_timestamp convert the time to normal one