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YOLOv3 from Scratch

How to implement YOLOv3 from scratch using Pytorch.

If you prefer to read instead of watch there is also a written article:
https://sannaperzon.medium.com/yolov3-implementation-with-training-setup-from-scratch-30ecb9751cb0

In this video we'll:
✔️ Recap of YOLO
✔️ YOLOv1 vs YOLOv3 differences
✔️ Implementing the architecture
✔️ Dataset loading of MSCOCO and Pascal VOC
✔️ Loss function
✔️ Setting up training

Original paper:
https://arxiv.org/abs/1804.02767
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection

YOLOv3 repository:
https://bit.ly/3pIIXT8

GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

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PyTorch Playlist:
https://www.youtube.com/playlist?list=PLhhyoLH6IjfxeoooqP9rhU3HJIAVAJ3Vz

⌚️ Timestampo:
0:00 - Introduction
0:50 - Recap of YOLO
6:10 - YOLOv3 vs YOLOv1
14:25 - Model implementation
47:20 - Dataset class
1:14:30 - Loss implementation
1:29:07 - Config file
1:34:24 - Training
1:51:05 - Ending

Видео YOLOv3 from Scratch канала Aladdin Persson
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Информация о видео
23 февраля 2021 г. 19:15:17
01:51:53
Яндекс.Метрика