Easy to learn from videos
What it does
It provides a summary of the content of a video and also generates a shorter version of it by cropping it, depending upon some frames which are chosen according to the scene detection algorithm.
How I built it
We used Python, Django, opencv and machine learning and NLP
Challenges I ran into
Summarisation of text and cropping every frame according to the importance
Accomplishments that I'm proud of
Successfully summarising the videos content and dividing it into frame for further processing
What I learned
We have learned to worked with ffmpeg and various summarisation techniques and pros and cons of each of them
What's next for Notes++
Making it faster as ffmpeg is a bit slow when used with python.