aia39 / tvl1_optical_flow_framegeneration Goto Github PK

Generating optical flow frame by using TVL1 algorithm in organized way is not so difficult. But for a newbie it is toilsome to find this easier task. TVL1 is most popular way to generate optical flow frame which outperforms most other algorithm but lacks processing speed.

Parent_folder/
    sub_folder1/
        video1.mp4
        video2.mp4

        ...
        
    sub_folder2/
        video1.mp4
        video2.mp4

        ...
        

And all the generated optical flow frame will be saved in a pre-created folder 'Optical Flow Frame' in structured way like input directory which is mentioned in the code(you can change according to your choice)

Some optical flow frame of the video Goal keeper catch football contains in this repo

Here is the resultant frame of flow.We can get the horizontal component(means u component) and vertical component(means v component) from the given code which is more significant in terms of analytical task.You can see all frames from 'OpticalFlowFrame' folder in the main branch of the repo.

1. Clone this repository

2. Install dependencies

  conda install -c anaconda opencv
  or
  pip install opencv-contrib-python 

3. Run the 'opticalflow.py' from command window

  python opticalflow.py

N.B : By default it will run on TVL1 algortihm.To generate optical flow frame on Farneback algorithm you can clear the comment and run the line of 93 ( flow = cv2.calcOpticalFlowFarneback(prvs,next, None, 0.8, 3, 10, 3, 7, 1.1, 0) ) instead of ( flow = optical_flow.calc(prvs, next, None) )

To know about all other algortihms and parameters of optical flow go through documentation of opencv All Optical Flow Process in Opencv