Скачать или смотреть How to write YOLO networks from the ground up for object detection

In this video, we will program a YOLO neural network from scratch in Python and Pytorch! YOLO is a computer vision algorithm that detects objects from images (and videos). This is part 1 of a two-part series. This part is all about the deep learning behind YOLO models and how to write your own, plus preprocess images through proper data augmentation, and train special Feature Pyramid Networks (FPN) for multi-scale object detection!
#machinelearning #coding #computervision

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Roboflow video on this dataset:
   • YOLOv9 Tutorial: Train Model on Custom Dat...  

Timestamps:
0:00 - Intro
1:55 - Object Detection
2:25 - YOLO
3:17 - Dataset
4:00 - Preprocessing
6:56 - Python code
7:40 - Data Augmentations with Albumentations
8:47 - Basic YOLO architecture
10:05 - YOLO-Darknet Backbone
10:40 - Basic YOLO Neck
11:40 - YOLO Head
12:20 - YOLO Loss Function
13:18 - Postprocessing Python code
14:00 - Issues with Basic YOLO architecture
15:20 - Feature Pyramid Networks (FPNs)
18:20 - Non Maximum Suppression (NMS)
19:47 - Results & Future work