Roboflow | Machine Learning Frameworks - The Landscape @Roboflow | Uploaded 3 years ago | Updated 6 hours ago
From PyTorch to CoreML, we walk through an overview of machine learning frameworks and discuss why the state of things is so disjointed.
From PyTorch to CoreML, we walk through an overview of machine learning frameworks and discuss why the state of things is so disjointed.
![[LIVE CODING] Visualizing Football Plays with Computer Vision (Part 1)](https://i.ytimg.com/vi/QI1dQF1iw0c/hqdefault.jpg "[LIVE CODING] Visualizing Football Plays with Computer Vision (Part 1)
In this live session well use the Football Player Detection dataset[1] by Scott Bronkema[2] shared on Roboflow Universe to create a program that tracks players movements using zero-shot object detection[3] in a football play and visualizes the result.
Tools well use/cover include: Python, Roboflow, YOLOv4, YOLOv5, CLIP, zero shot object tracking, ffmpeg, and OpenCV.
Update: we sent an improved dataset to training at the end of the video; well pick up here once the improved model is finished training with part 2. Subscribe and ding the bell to be notified!
[1] https://universe.roboflow.com/bronkscottema/football-player-detection
[2] https://www.linkedin.com/in/scott-bronkema-09389824/
[3] https://blog.roboflow.com/zero-shot-object-tracking/")
