https://github.com/davianyang/yolo.ai
Yolo Implementation (v1, v2, v3)
https://github.com/davianyang/yolo.ai
darknet darknet19 darknet53 efficientnet pascal-voc python pytorch voc yolo yolov1 yolov2 yolov3
Last synced: 6 months ago
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Yolo Implementation (v1, v2, v3)
- Host: GitHub
- URL: https://github.com/davianyang/yolo.ai
- Owner: DavianYang
- License: mit
- Created: 2021-01-15T13:02:02.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-01-28T13:45:09.000Z (8 months ago)
- Last Synced: 2025-04-12T02:13:40.407Z (6 months ago)
- Topics: darknet, darknet19, darknet53, efficientnet, pascal-voc, python, pytorch, voc, yolo, yolov1, yolov2, yolov3
- Language: Python
- Homepage:
- Size: 874 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Introduction
## Models:
- [YOLOv1](https://arxiv.org/abs/1506.02640)
- [YOLOv2](https://arxiv.org/abs/1612.08242)
- [YOLOv3](https://arxiv.org/abs/1804.02767)
## Backbone:
- DarkNet
- EfficientNet
## Custom Data Enchancement method:
- Normalize
- Resize
- RandomHorizontalFlip
- RandomVerticalFlip
# Code structure description
```
yolo.ai
├── cfg # The directory where model config file is located (darknet, efficientnet, etc)
├── tests # Implmentation test cases
├── yolo # YOLO implementation code bases
│ ├── data # Base data directory
│ │ ├── datasets # Contain datasets such as pascal-voc
│ │ └── transforms # Custom transforms for Dataset
│ ├── models # Base model directory
│ │ ├── arch # YOLO model assembly place
│ │ ├── backbones # All backbone network gathering here
│ │ ├── detectors # Assembly of all types of detectors
│ │ ├── losses # The gathering place of all loss functions
│ │ ├── metrics # Metrics functions for bounding boxes and losses
│ │ └── modules # Individuals modules for network building
│ └── utils # Utilites file for visualization and network
```