Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/GinkgoX/YOLOv3GUI_Pytorch_PyQt5
This is a GUI project for Deep Learning Object Detection based on YOLOv3 model
https://github.com/GinkgoX/YOLOv3GUI_Pytorch_PyQt5
Last synced: 3 months ago
JSON representation
This is a GUI project for Deep Learning Object Detection based on YOLOv3 model
- Host: GitHub
- URL: https://github.com/GinkgoX/YOLOv3GUI_Pytorch_PyQt5
- Owner: GinkgoX
- Created: 2020-06-14T00:24:41.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-06-15T00:13:17.000Z (over 4 years ago)
- Last Synced: 2024-08-02T01:25:17.165Z (7 months ago)
- Language: Python
- Size: 90.8 KB
- Stars: 32
- Watchers: 3
- Forks: 12
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-yolo-object-detection - GinkgoX/YOLOv3GUI_Pytorch_PyQt5
README
# YOLOv3GUI_Pytorch_PyQt5
This is a GUI project for Deep Learning Object Detection based on YOLOv3 model#### # Requirements:
- CUDA GPU(optional for test)
- PyTorch >= 1.1.0
- torchvision>=0.2.1
Installation instructions can be found in https://pytorch.org/get-started/locally/.
- python 3.X
- PyQt5
#### # Instructions:
`step 1` : open camera
`step 2` : load pretrained model (eg, yolov3.weights)
`step 3` : load configure file (eg, yolov3.cfg)
`step 4` : detect object
#### # Demo:
```python
python login.py
```#### #Reference:
model: https://github.com/ultralytics/yolov3.git