Video integration

[H-Tudor]

The present tool has great capabilities but cannot be used with video files which is a big downside.

The way I see this issue, the application should be able to accept video files like .mp4 and allow you to annotate each frame (with a drop frame button to indicate that the given frame should be ignored at export) and when exporting it should return each frame of the video/s named video_file_name-frame_id in jpg or png format depending on the user selection

How I (a python developer) would approach this issue is to create a branch in the flow when you upload a file and if the file is in a video format, call a python CV2 script (or any other that knows how to process images and videos) and for each frame in each video and creates an new upload file instance named {video_file_name}_{frame_idx} and after processing the videos it shows {x} images uploaded where x = total number of frames across all files, videos and images

Given how to application is constructed, and the fact that the images are not uploaded to the server, I think (correct me if I'm wrong) that they are stored in RAM or other temp memory cache, thus a limit of total images should be in place. Another possible downsize would be image resolution (which is already a formulated issue).

[github-actions]

👋 Hello @H-Tudor, thank you for your interest in make-sense - free to use online tool for labelling photos! 🏷️

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💻 Local setup

# clone repository
git clone https://github.com/SkalskiP/make-sense.git

# navigate to main dir
cd make-sense

# install dependencies
npm install

# serve with hot reload at localhost:3000
npm start

To ensure proper functionality of the application locally, an npm 8.x.x and node.js v16.x.x versions are required. More information about this problem is available in the #16 issue.