react-ml-kit
ailia-models
| react-ml-kit | ailia-models | |
|---|---|---|
| 8 | 4 | |
| 11 | 1,853 | |
| - | 3.9% | |
| 4.4 | 9.8 | |
| about 1 year ago | 4 days ago | |
| TypeScript | Python | |
| MIT License | - |
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react-ml-kit
ailia-models
-
10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
- [P] A collection of pre-trained, state-of-the-art AI models
- Ailia-models: A collection of pre-trained, state-of-the-art AI models
What are some alternatives?
FaceAiSharp - State-of-the-art face detection and face recognition for .NET.
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Put-In-Context - Putting Visual Object Recognition in Context
robotics-level-4 - This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
aquamam - An autoregressive, quaternion manifold model for rapidly estimating complex SO(3) distributions.
recognize - 👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres [Moved to: https://github.com/nextcloud/recognize]