dr_blueberry

4 ms·

1. 1.▲
   by dr_blueberry 14d ago

   Working on real-world computer vision demos with a focus on fitness. So far, they are based on ViTPose+ Large pose estimation in the context of different sports. My demos include: - Comparing dancers' sync performing the same choreogra
2. 2.▲
   Show HN: Run open-weight OCR, VLM and vision models behind one API(vlmrun.com)

   5 points by dr_blueberry 24d ago|0 comments
3. 3.▲
   I made a rock climbing tool using computer vision [video](youtube.com)

   5 points by dr_blueberry 1mo ago|2 comments
4. 4.▲
   by dr_blueberry 1mo ago

   I prompted VLM Run’s visual agent Orion to segment all of the blue bouldering holds, and it did a good job! It is interesting that now we can prompt VLMs to segment all of the holds, rather than creating a new dataset from scratch to train
5. 5.▲
   by dr_blueberry 2mo ago

   Doing some initial testing of Gemini ER 2 within the Orion 2 visual agent harness. I'll share a few initial results and chat threads here. I'm impressed with how fast Gemini ER2 is. 1. Crop the segment when adding rice to the rice
6. 6.▲
   Mm-ctx: multimodal context for agents(colab.research.google.com)

   3 points by dr_blueberry 5mo ago|0 comments