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Project description
JABS Vision (jabs-vision)
This package handles raw video processing and deep learning training and inference.
Overview
jabs-vision is responsible for converting raw video frames into pose estimation data.
It houses the heavy machine learning frameworks and GPU-accelerated code.
Responsibilities
- Pose Estimation Inference: Running deep learning models (PyTorch) on video frames to detect keypoints.
- Static Object Detection
- Segmentation Masking
- Identity Matching: Tracking individual animals across frames using vectorized features.
- Video Processing: Handling frame extraction and normalization for input to vision models.
Key Components
jabs.vision.inference: Wrappers for pose estimation model execution.jabs.vision.tracking: Identity matching and re-identification logic.
Dependencies
torch/torchvisionopencv-python-headlessjabs-io,jabs-core
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