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Local Body Fitness, Age, Appearance Analysis
Been on a health journey. There are any number of websites that will take a body or face photo and (nicely or cruelly) tell you what is good/wrong with you. People post on Reddit for the same feedback with gym progress etc. Main goal is appearance followed by…
Been on a health journey. There are any number of websites that will take a body or face photo and (nicely or cruelly) tell you what is good/wrong with you. People post on Reddit for the same feedback with gym progress etc. Main goal is appearance followed by function What exists for local models to do similar? May border more into machine vision then LLM but… local is key. Edit: 12gb vram limit
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If you're okay with some setup, I'd look at Qwen2.5-VL, Gemma 3, or Llama 4 Vision running locally with Ollama or LM Studio. They won't replace a doctor, but they're surprisingly good at body composition feedback, posture analysis, symmetry, and tracking gym progress from photos over time. Pairing one with OpenCV for measurements would make it even more useful.
Thanks! You actually hit upon other unmentioned goals (posture/ergonomics/form). But post was really looking at what areas need focus (body and face) for plans. Do you know any write ups for someone who has done similar?
Watch out, he is bringing up old models, probably it's bot activity. Try some recent models (gemma 4 or qwen3.6) with vision. Keep in mind these are not purpose built for your a e s t h e t i c usecase, thus will likely be super crude
I haven't come across a complete write-up for that specific use case. Most local vision model examples focus on image understanding or VQA rather than personalized fitness analysis. But it seems very doable. I'd probably combine a VLM like Qwen2.5-VL with a structured prompt, and optionally use OpenCV or MediaPipe for measurements like posture, symmetry, and body proportions. That should give much more consistent feedback than relying on the VLM alone.
MediaPipe low vram usage, you can use it to output numbers rather than just let LLM see the image and analyze