Video-Dataset-Loading-Pytorch
ailia-models
Video-Dataset-Loading-Pytorch | ailia-models | |
---|---|---|
2 | 4 | |
413 | 1,825 | |
- | 2.4% | |
0.0 | 9.8 | |
over 1 year ago | 6 days ago | |
Python | Python | |
BSD 2-clause "Simplified" License | - |
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Video-Dataset-Loading-Pytorch
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
What are some alternatives?
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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
phar - deep learning sex position classifier
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
gluon-cv - Gluon CV Toolkit
Put-In-Context - Putting Visual Object Recognition in Context
golfdb - GolfDB is a video database for Golf Swing Sequencing, which involves detecting 8 golf swing events in trimmed golf swing videos. This repo demos the baseline model, SwingNet.
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.
zamba - A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos
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.
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval