SSD for getting started with target detection algorithm
The speed of getting started with the SSD algorithm can be faster. The Guangqing project has learned about SSD before and has a preliminary impression of it.
(1) Getting started: video (understanding the principle)-blog (understanding the principle)-github (project code)
(2) Entry goals:
1. Run the project code (must be able to run out first, the most important thing, also called recurring code)
2. Understand the principle (know roughly what each step is doing, what functions are implemented, and what usage)
3. Familiar with the details of the code (currently a bit super-level at my own level, you can optionally ignore it)
(3) Project title:
Pytorch builds its own SSD target detection platform
(4) Video address:
https://www.bilibili.com/video/BV1A7411976Z (Ctrl+F shortcut key for quick search)
(5) Blog address
https://blog.csdn.net/weixin_44791964/article/details/104981486?spm=1001.2014.3001.5501
(6) Project code
https://github.com/bubbliiiing/ssd-pytorch
(7) Engineering code
Because the code used in the project is different from the above code, the above code is (very basic), so the actual project code is listed, but it is a bit too big for now and can be selectively ignored.
https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD