VolleyVision
ailia-models
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| VolleyVision | ailia-models | |
|---|---|---|
| 2 | 4 | |
| 141 | 1,814 | |
| - | 4.1% | |
| 8.7 | 9.8 | |
| 23 days ago | 8 days ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | - |
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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.
VolleyVision
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Open-Source Hawkeye for Volleyball
Yo can find the code and datasets on GitHub - VolleyVision.
Check out the code on GitHbu - VolleVision
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?
py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python
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
multi-object-tracker - Multi-object trackers in Python
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
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.
gluon-cv - Gluon CV Toolkit
mlapi - An easy to use/extend object recognition API you can locally install. Python+Flask. Also works with ZMES!
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Put-In-Context - Putting Visual Object Recognition in Context
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.