FYO

Flask api for differencing and returning captions.

Create the folders if they do no exist, in the same directories

diff
mark_1
mark_2
marked_videos
raw_1
raw_2
videos

Optional if using flaskenv

navigate to the scripts folder and run .\activate

run the app.py to start the Server

Use python3 to run.

Dependencies:

Flask
Opencv
numpy
matplotlib
skimage
imutils
pyyaml
flask-cors

Note: You will be able to change the Framerate by changing the Framerate in the config.yaml file. This FRAME_RATE must be give as how often the frame has to be captured. So it is actually 1 / framesPerSecond

Note: Number of groups in the config denotes the number of segments/groups that you wish to have in the frames. Typically try to have less than 10 - 15 groups based on the number of frames that you produce.

Example:

300 frames - 10 groups - so 30 frames per segment
30 frames - 5 groups - so 6 frames per segment

It is a hyperparameter

End Points

POST request to http://127.0.0.1:5000/uploader along with files with names file and file2 returns you with a response which looks like:

{
    "boxedFramesVideoOnePath": "D:\\MyLife\\Final Year Project\\codes\\fyo\\mark_1\\",
    "boxedFramesVideoTwoPath": "D:\\MyLife\\Final Year Project\\codes\\fyo\\mark_2\\",
    "dissimilar_image_list": [
        "0003_20200413-094415.jpg",
        "0004_20200413-094415.jpg",
        "0027_20200413-094415.jpg",
        "0028_20200413-094415.jpg",
        "0029_20200413-094415.jpg"
    ],
    "markedVideosPath": "D:\\MyLife\\Final Year Project\\codes\\fyo\\marked_videos\\",
    "n_dissimilar_images": 5,
    "rawVideoOneFramesPath": "D:\\MyLife\\Final Year Project\\codes\\fyo\\raw_1\\",
    "rawVideoTwoFramesPath": "D:\\MyLife\\Final Year Project\\codes\\fyo\\raw_2\\",
    "status": "success",
    "total_frames": 30,
    "unique_timestamp": "20200413-094415"
}