{"id":13645252,"url":"https://github.com/JackDance/YOLOv8-streamlit-app","last_synced_at":"2025-04-21T13:32:30.664Z","repository":{"id":165416223,"uuid":"640748763","full_name":"JackDance/YOLOv8-streamlit-app","owner":"JackDance","description":"🔥🔥🔥 Use streamlit framework to increase yolov8 front-end page interaction 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Detection Applications"],"sub_categories":[],"readme":"\n\u003cdiv align=\"center\"\u003e\n\n# YOLOv8 Streamlit APP\n\n  \u003cp\u003e\n    \u003ca align=\"center\" href=\"https://ultralytics.com/yolov8\" target=\"_blank\"\u003e\n      \u003cimg width=\"50%\" src=\"pic_bed/banner-yolov8.png\"\u003e\u003c/a\u003e\n  \u003c/p\u003e\n\n\u003cbr\u003e\n\n\u003cdiv\u003e\n    \u003ca href=\"https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml\"\u003e\u003cimg src=\"https://github.com/ultralytics/ultralytics/actions/workflows/ci.yaml/badge.svg\" alt=\"Ultralytics CI\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://zenodo.org/badge/latestdoi/264818686\"\u003e\u003cimg src=\"https://zenodo.org/badge/264818686.svg\" alt=\"YOLOv8 Citation\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://hub.docker.com/r/ultralytics/ultralytics\"\u003e\u003cimg src=\"https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker\" alt=\"Docker Pulls\"\u003e\u003c/a\u003e\n    \u003cbr\u003e\n    \u003ca href=\"https://console.paperspace.com/github/ultralytics/ultralytics\"\u003e\u003cimg src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run on Gradient\"/\u003e\u003c/a\u003e\n    \u003ca href=\"https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb\"\u003e\u003cimg src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://www.kaggle.com/ultralytics/yolov8\"\u003e\u003cimg src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"\u003e\u003c/a\u003e\n  \u003c/div\u003e\n  \u003cbr\u003e\n\u003c/div\u003e\n\n## Introduction\nThis repository supply a user-friendly interactive interface for [YOLOv8](https://github.com/ultralytics/ultralytics) and the interface is powered by [Streamlit](https://github.com/streamlit/streamlit). It could serve as a resource for future reference while working on your own projects.\n\n## Features\n- Feature1: Object detection task.\n- Feature2: Multiple detection models. `yolov8n`, `yolov8s`, `yolov8m`, `yolov8l`, `yolov8x`\n- Feature3: Multiple input formats. `Image`, `Video`, `Webcam`\n\n## Interactive Interface\n### Image Input Interface\n![image_input_demo](https://github.com/JackDance/YOLOv8-streamlit-app/blob/master/pic_bed/image_input_demo.png)\n\n### Video Input Interface\n![video_input_demo](https://github.com/JackDance/YOLOv8-streamlit-app/blob/master/pic_bed/video_input_demo.png)\n\n### Webcam Input Interface\n![webcam_input_demo](https://github.com/JackDance/YOLOv8-streamlit-app/blob/master/pic_bed/webcam_input_demo.png)\n\n\n## Installation\n### Create a new conda environment\n```commandline\n# create\nconda create -n yolov8-streamlit python=3.8 -y\n\n# activate\nconda activate yolov8-streamlit\n```\n### Clone repository\n```commandline\ngit clone https://github.com/JackDance/YOLOv8-streamlit-app\n```\n\n### Install packages\n```commandline\n# yolov8 dependencies\npip install ultralytics\n\n# Streamlit dependencies\npip install streamlit\n```\n### Download Pre-trained YOLOv8 Detection Weights\nCreate a directory named `weights` and create a subdirectory named `detection` and save the downloaded YOLOv8 object detection weights inside this directory. The weight files can be downloaded from the table below.\n\n| Model                                                                                | size\u003cbr\u003e\u003csup\u003e(pixels) | mAP\u003csup\u003eval\u003cbr\u003e50-95 | Speed\u003cbr\u003e\u003csup\u003eCPU ONNX\u003cbr\u003e(ms) | Speed\u003cbr\u003e\u003csup\u003eA100 TensorRT\u003cbr\u003e(ms) | params\u003cbr\u003e\u003csup\u003e(M) | FLOPs\u003cbr\u003e\u003csup\u003e(B) |\n| ------------------------------------------------------------------------------------ | --------------------- | -------------------- | ------------------------------ | ----------------------------------- | ------------------ | ----------------- |\n| [YOLOv8n](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt) | 640                   | 37.3                 | 80.4                           | 0.99                                | 3.2                | 8.7               |\n| [YOLOv8s](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8s.pt) | 640                   | 44.9                 | 128.4                          | 1.20                                | 11.2               | 28.6              |\n| [YOLOv8m](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8m.pt) | 640                   | 50.2                 | 234.7                          | 1.83                                | 25.9               | 78.9              |\n| [YOLOv8l](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8l.pt) | 640                   | 52.9                 | 375.2                          | 2.39                                | 43.7               | 165.2             |\n| [YOLOv8x](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8x.pt) | 640                   | 53.9                 | 479.1                          | 3.53                                | 68.2               | 257.8             |\n\n\n## Run\n```commandline\nstreamlit run app.py\n```\nThen will start the Streamlit server and open your web browser to the default Streamlit page automatically.\n\n\n## TODO List\n- Add `Tracking` capability.\n- Add `Classification` capability.\n- Add `Pose estimation` capability.\n\n\n***\n\nIf you also like this project, you may wish to give a `star` (^.^)✨ . If any questions, please raise `issue`~\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJackDance%2FYOLOv8-streamlit-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FJackDance%2FYOLOv8-streamlit-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FJackDance%2FYOLOv8-streamlit-app/lists"}