Twitter-video-emotion-and-sentiment-analysis
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Better video analysis.
Currently, we are taking one frame per second of the video, and then based on normal facial expression analysis we check the user expression of that frame. Then after taking all the count of expressions of each second we just calculate the percentage of each expression. We want to change this procedure with a better-optimized method for analyzing video. Requires knowledge of :
- Python
- Machine Learning
- Facial Analysis
- Open CV
Hi There, I would Like To Take This Issue, And Make Some Changes in The Base, by Changing The Video Loading Process In OpenCV at Increasing The Frame Rate Of The Video. So Please Assign Me The Issue.
@astitvaveergarg I have assigned the issue to you. Do let me know your time requirement for this issue.
Time Requirement Actually Depends On What I Will do in order to make Video Sentiment Analysis better, However, For now, I will take around 5 days.
As it's a level 3 issue, I will give you 10 days to complete this issue. Do your best :)
I will Try My Best, And Contribute Best Solutions To Make It Better. Thanks
@astitvaveergarg let us know if you need any help regarding it!
@astitvaveergarg are you still working on this issue?
Yeah, I will Get Back To You In Max 5 days.
@astitvaveergarg noted :)
@astitvaveergarg are you still working on this issue? Please let me know if you are not working on it and it's too long for this issue, I need to reassign.
Sure, Due To Too Long Travelling Issues, I won't Be Able To Continue, Please Do Reassign The Issue, Sorry For Inconvenience.
Can u Please assign this issue to me under GSSoC'22? I want to work on this.
@rutika1823 do you have any prior experience on this? Or are you planning to learn while working on the issue?
@rutika1823 can you reply?
Hi Please assign this issue to me, wanna contribute to this. Thanx