ydixon/yolo_v3
YoloV3 in Pytorch and Jupyter Notebook
This project helps computer vision engineers and researchers build and train object detection models using YOLOv3 in PyTorch. It provides a structured approach to constructing the network architecture, handling data augmentation, and managing datasets. You input images (potentially with annotations), and the output is a trained model capable of identifying objects within new images.
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Use this if you are a computer vision engineer or researcher wanting to learn, implement, or experiment with YOLOv3 for object detection using PyTorch, especially if you appreciate an object-oriented code structure and detailed Jupyter notebooks.
Not ideal if you are a non-technical user looking for a ready-to-use application or a developer seeking a high-level API to integrate object detection without understanding the underlying mechanics.
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Jupyter Notebook
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Last pushed
Aug 03, 2019
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