Comments (3)
Hi Shreejal,
Thank you for your interest. I believe this was done with functions in: https://github.com/previtus/AttentionPipeline/blob/master/video_parser_v2/processing_code/bbox_postprocessing.py
from attentionpipeline.
Thanks a lot, @previtus
I wanted to ask small questions regarding your project.
I wanted to use different object detectors with different input resolutions. So I was seeing the code and was curious to know a few things.
- How can I incorporate the box post-processing for vehicle class? It seems you have taken into account just the person class. Also, how can I change the code so that I can take into consideration square boxes(Not vertical as mentioned in your paper) to merge the broken boxes?
- What are the main functions which I can use if I don't want to use threading and parallel processing (Also no client-server architecture)
- I have seen that there is a main_loop.py file. Can I use only those functions and the functions called from CropCoordinates and AttentionModule to complete the code with different resolutions?
I really appreciate your prompt response.
Thanking you in advance
Shreejal
from attentionpipeline.
Hi @previtus
Let me know your thoughts on the same
from attentionpipeline.
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from attentionpipeline.