Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/BraunGe/YOLOv5-GUI

A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports.
https://github.com/BraunGe/YOLOv5-GUI

Last synced: 3 months ago
JSON representation

A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports.

Host: GitHub
URL: https://github.com/BraunGe/YOLOv5-GUI
Owner: BraunGe
License: gpl-3.0
Created: 2023-05-18T12:57:42.000Z (almost 2 years ago)
Default Branch: master
Last Pushed: 2023-06-07T07:39:05.000Z (over 1 year ago)
Last Synced: 2024-08-02T01:25:20.387Z (7 months ago)
Language: Python
Size: 495 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE

Awesome Lists containing this project

awesome-yolo-object-detection - BraunGe/YOLOv5-GUI - GUI?style=social"/> : A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports. (Applications)
awesome-yolo-object-detection - BraunGe/YOLOv5-GUI - GUI?style=social"/> : A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports. (Applications)

README

        # YOLOv5-GUI

A GUI for YOLOv5, support all the 11  inference formats that YOLOv5 supports.

The detect program is based on YOLOv5 v6.1.

Run the `detect6.py` to start the GUI.

1. Compared with other YOLOv5's GUI, this one has a unique advantage, this GUI can support all the 11  inference formats that YOLOv5 supports. That will be great for embeded device deploy with GUI. 

| Format |Model  |

|--|--|

| PyTorch | yolov5s. pt |

| TorchScript | yolov5s.torchscript |

| ONNX | yolov5s.onnx |

| OpenVINO | yolov5s_openvino_model/ |

| TensorRT | yolov5s.engine |

| CoreML | yolov5s.mlmodel |

| TensorFlow SavedModel | yolov5s_saved_model/ |

| TensorFlow GraphDef | yolov5s.pb |

| TensorFlow Lite | yolov5s.tflite |

| TensorFlow Edge TPU | yolov5s_edgetpu.tflite |

| TensorFlow.js | yolov5s_web_model/ |

| PaddlePaddle | yolov5s_paddle_model/ |

 2. This GUI can support all the inference source when using any one in the 11  inference formats. 

Support source:

- 

       source 0  # webcam 

              img.jpg  # image

              vid.mp4  # video

              path/  # directory

              path/*.jpg  # glob

              'https://youtu.be/Zgi9g1ksQHc'  # YouTube

              'rtsp://example.com/media.mp4'  # RTSP, RTMP, HTTP stream