miladlink/YoloV2
Pytorch YoloV2 implementation from scratch
This project helps developers quickly set up and understand a core computer vision task: identifying objects in images. You provide an image file and trained weights, and it outputs the same image with bounding boxes drawn around detected objects like people, dogs, or giraffes. It's designed for machine learning engineers or researchers who need to implement or learn about real-time object detection.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward, easy-to-understand PyTorch implementation of the YOLOv2 algorithm for object detection.
Not ideal if you are a non-developer seeking a ready-to-use application with a graphical interface, as this requires coding knowledge to operate.
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15
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 06, 2022
Commits (30d)
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