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deepixel

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deepixel-inc / .github

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Deepixel develops real-time human understanding algorithms from a single RGB camera, with full in-house capability spanning data acquisition, annotation, model training, and platform-optimized deployment—ensuring robust, efficient, and production-ready vision systems.

python opencv computer-vision deep-learning wasm ios-app android-app landmark-detection face-tracking face-landmarks head-pose-estimation tensorflow-lite virtual-try-on on-device-ai cpu-inference monocular-vision real-time-inference deepixel
  • Updated Jun 11, 2026

deepixel-inc / Face-Landmark-Tracker

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High-performance facial landmark detection and tracking library by Deepixel. CPU-only, real-time inference using TensorFlow Lite, OpenCV, and DeepCore. Outputs 106 facial landmarks with head pose estimation and Python API support.

python opencv computer-vision wasm ios-app android-app landmark-detection face-tracking face-landmarks head-pose-estimation tensorflow-lite on-device-ai cpu-inference monocular-vision real-time-inference deepixel
  • Updated May 21, 2026
  • Python

deepixel-inc / Wrist-Landmark-Tracker

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Real-time, CPU-only wrist landmark tracking library by Deepixel. Uses monocular vision to estimate 8-point cylindrical wrist landmarks, left/right wrist pose, and visibility confidence with a Python API.

python opencv computer-vision landmark-detection pose-estimation 3d-pose-estimation on-device-ai cpu-inference wrist-tracking monocular-vision real-time-inference deepixel wrist-landmarks temporal-tracking
  • Updated May 21, 2026

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