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
Release files for jabs-vision 0.50.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| jabs_vision-0.50.0.tar.gz | 33.2 kB | Without provenance | Details for jabs_vision-0.50.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| jabs_vision-0.50.0-py3-none-any.whl | Python 3 | none | any | Details for jabs_vision-0.50.0-py3-none-any.whl |
Total release size: 78.8 kB
Release files / jabs_vision-0.50.0.tar.gz
| Download URL | jabs_vision-0.50.0.tar.gz |
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| Size | 33.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / jabs_vision-0.50.0-py3-none-any.whl
| Download URL | jabs_vision-0.50.0-py3-none-any.whl |
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| Size | 45.5 kB |
| Tags | Python 3 |
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