JeffersonQin/yolo-v1-pytorch
⚗ YOLO v1 PyTorch Implementation
This project helps quickly identify objects within images or live video feeds. It takes an image or video stream as input and outputs bounding boxes around detected objects, along with their labels and confidence scores. This is useful for researchers or developers experimenting with real-time object detection systems, without needing to build the entire model from scratch.
No commits in the last 6 months.
Use this if you need a pre-built system to detect common objects in images or video streams, offering a balance of speed and accuracy for research or experimental purposes.
Not ideal if you require the absolute highest accuracy for critical applications, as this implementation does not match the original YOLOv1's top performance.
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19
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 19, 2022
Commits (30d)
0
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