I took a deadlift video from r/formcheck, fed it to a Python script, and got back prioritized coaching cues. All running locally on my laptop. No cloud APIs, no subscriptions. Just MediaPipe for pose estimation, OpenCV for frame extraction, and Qwen 3.5-9B running on llama.cpp for natural-language feedback. The Idea r/formcheck is a subreddit where lifters post videos of their sets and ask for feedback. You film your deadlift, upload it, and wait for someone (hopefully qualified) to tell you what to fix. The problem is that feedback is inconsistent, slow, and often contradictory. [read more]

On http://www.brussel.be/webcam-grote-markt you can find a webcam stream of the Grand Place in Brussels. When I saw this I was wondering if I could build a model to trace individual people and eventually track their behaviour while walking on one of the most touristy spots in Brussels. I set up a website with TensorFlow.js using the coco-ssd model but was slightly dissapointed with the results. After doing some more research I read about transfer learning and decided to try and improve model. [read more]

I got the question from a client who was making frames for medal with a cnc machine if we could determine the dimensions of a medal from a simple picture. Today the client has to request the physical medals being mailed to him in order to be able to create the digital model that can be consumed by his CNC machine. iOS 12 comes these days with the Measure app that uses augmented reality to provide dimension information on objects that are being scanned with the camera. [read more]