I made a computer vision tool for evaluating deadlift form
Fun real-world computer vision demos! Contribute to jeremyipark/vision-demos development by creating an account on GitHub.
I made a computer vision tool for evaluating deadlift form launched on October 1, 2026 with 7 votes, #30 of 279 launches that month and more than 75% of that year's launches.
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I made a computer vision addon for Blender2020 · github.com · ▲268A Blender addon for generating synthetic ground truth data for Computer Vision applications - GitHub - Cartucho/vision_blender: A Blender addon for generating synthetic ground truth data for Computer Vision applications

- MLMy local climbing gym from photogrammetryAug 2026 · kmcheung12.github.io · ▲29
Commented on yesterday's Ask HN: What are you working on? (August 2026), thought I might as well submit a Show HN. If you see climbing world cup/championship, there is this 3D modelling thing [1]. I want that for my weekly bouldering. I scanned my local climbing gym into 3D mesh using iphone. Built a simple editor to trim, merge, move/rotate meshes. You can interact with the mesh, view routes, view climb, etc. So this is unlike many gaussian splatting projects where the main use is for viewing. I built a pipeline in updating climbing walls. Climbing routes are manually annotated.…


Integrate Computer-vision in your app with just 2 lines of code2022 · ramanlabs.in · ▲5Hi HN, I am Anubhav from RamanLabs. We have been developing end to end Computer-vision modules to make it easy for developers, hobbyists to integrate such functionality into their applications with minimal amount of code. All modules are developed to run real-time on consumer-grade CPUs[0]. For now we are releasing only Python-language SDK. Demos are provided to allow users to test performance on desired data-distribution. Framework powering these modules in completely written in Nim language, which under the hood wraps some Operation's implementation provided by libraries like…
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