dominikwin

5 ms·

1. 1.▲
   by dominikwin 2y ago

   Vidformer-py is a thin client library around a vidformer server. Details and install here: https://ixlab.github.io/vidformer/install.html It's possible to embed that into the python library, but getting FFmpeg, Op
2. 2.▲
   by dominikwin 2y ago

   Okay, do you mean use it for speeding up media I/O there? I don't know if that would work. Using Yolo and drawing bounding boxes should already work fine with the supervision integration. That's how the Colab notebook does it
3. 3.▲
   by dominikwin 2y ago

   Happy to help, what do you mean add it to Yolo?
4. 4.▲
   by dominikwin 2y ago

   There are a few benefits, depending on your use case; most of them are reducing video length as a barrier to visualization. 1) If you are running models you can use vidformer to see the results as they come in, essentially streaming annotat
5. 5.▲
   by dominikwin 2y ago

   Yes! There's a list here: https://ixlab.github.io/vidformer/opencv-filters.html A good chunk of OpenCV imgproc is implemented, but it can go beyond that. Vidformer can be applied to any function which returns or m
6. 6.▲
   Show HN: Vidformer – Drop-In Acceleration for Cv2 Video Annotation Scripts(github.com)

   25 points by dominikwin 2y ago|11 comments