https://github.com/ayushexel/detectx-yolo-v3

Yolo-V3 implementation from scratch in pytorch
https://github.com/ayushexel/detectx-yolo-v3

computer-vision deep-learning deep-neural-networks deeplearning machine-learning pytorch yolov3

Last synced: 3 months ago
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Yolo-V3 implementation from scratch in pytorch

• Host: GitHub
• URL: https://github.com/ayushexel/detectx-yolo-v3
• Owner: AyushExel
• License: mit
• Created: 2019-05-28T07:39:51.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-20T20:21:34.000Z (about 5 years ago)
• Last Synced: 2024-10-03T12:35:15.182Z (4 months ago)
• Topics: computer-vision, deep-learning, deep-neural-networks, deeplearning, machine-learning, pytorch, yolov3
• Language: Python
• Homepage:
• Size: 7.18 MB
• Stars: 39
• Watchers: 6
• Forks: 38
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
This is complementary code for the video series that explains the implementation of yolo-v3 from scratch, [available here](https://www.youtube.com/playlist?list=PLbMqOoYQ3MxxArhAqvki_WoWBTCc8fDHG).

.

[My channel](http://www.youtube.com/channel/UCgpckFNtZEOSjPFpQf-Kn8w) for cutting edge deep learning projects.

# Yolo-V3

yolov3.cfg (236 MB COCO Yolo v3) - requires 4 GB GPU-RAM: https://pjreddie.com/media/files/yolov3.weights

# Test:

Run the following command with optional commandline arguments to perform detections on images in 'images' folder. By default the 'result' folder will store the output.

```

python detect.py 

```

Run the following command with optional commandline arguments to perform detections on videos

```

python detect_video.py

```

# Understand and implement the network from scratch (Video)

[![](http://img.youtube.com/vi/chVamXQp9so&list=PLbMqOoYQ3MxxArhAqvki_WoWBTCc8fDHG/0.jpg)](http://www.youtube.com/watch?v=chVamXQp9so&list=PLbMqOoYQ3MxxArhAqvki_WoWBTCc8fDHG)



# Some Outputs:

![](https://github.com/AyushExel/Yolo-V3/blob/master/result/det_messi.jpg)

![](https://github.com/AyushExel/Yolo-V3/blob/master/result/det_62bddd2a-89ab-11e7-8a03-f21d91374892-780x429.jpg)

![](https://github.com/AyushExel/Yolo-V3/blob/master/result/det_person.jpg)