ailia-models
robotics-level-4
| ailia-models | robotics-level-4 | |
|---|---|---|
| 4 | 1 | |
| 1,825 | 79 | |
| 2.4% | - | |
| 9.8 | 10.0 | |
| 7 days ago | over 1 year ago | |
| Python | Python | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ailia-models
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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
robotics-level-4
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nub needs some directions
My end goal is to achieve functionality similar to: https://github.com/jiteshsaini/robotics-level-4/tree/main/earthrover/human_following but in python on windows pc
What are some alternatives?
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
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Put-In-Context - Putting Visual Object Recognition in Context
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation