https://github.com/jintao-huang/darknet53_pytorch
Darknet53: YOLOv3 backbone.
https://github.com/jintao-huang/darknet53_pytorch
Last synced: 6 months ago
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Darknet53: YOLOv3 backbone.
- Host: GitHub
- URL: https://github.com/jintao-huang/darknet53_pytorch
- Owner: Jintao-Huang
- License: apache-2.0
- Created: 2020-05-26T02:54:35.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-27T12:40:52.000Z (over 5 years ago)
- Last Synced: 2025-02-14T11:52:06.025Z (8 months ago)
- Language: Python
- Size: 914 KB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Darknet53_PyTorch
## Reference
1. 论文(paper):
[https://arxiv.org/pdf/1804.02767.pdf](https://arxiv.org/pdf/1804.02767.pdf)
2. 代码参考(reference code):
[https://github.com/developer0hye/PyTorch-Darknet53](https://github.com/developer0hye/PyTorch-Darknet53)
3. 使用的预训练模型来源(Source of the pre-training model used):
[https://github.com/developer0hye/PyTorch-Darknet53](https://github.com/developer0hye/PyTorch-Darknet53)
由于我对模型进行了调整，所以我修改了原预训练模型的state_dict的key值，并进行了发布.
Since I adjusted the model, I modified the state_dict key value of the original pretraining model and release it.
权重见 release. 或在百度云中下载:
链接：[https://pan.baidu.com/s/1AHnP7jWy-VXZZM9Eselltw](https://pan.baidu.com/s/1AHnP7jWy-VXZZM9Eselltw)
提取码：iimv
## 使用方式(How to use)
#### 1. 预测图片(Predict images)
```
python3 pred_image.py
```