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--- |
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title: Object Detection Chatbot |
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emoji: 🐢 |
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colorFrom: blue |
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colorTo: gray |
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sdk: streamlit |
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sdk_version: 1.38.0 |
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app_file: app.py |
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pinned: false |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# 🔍 YOLOv8 Object Detection on Video |
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This Streamlit app allows you to upload a video file and perform object detection using the YOLOv8 model. The app processes the video, detects objects, and provides a downloadable version of the video with bounding boxes around detected objects. |
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## 🚀 Live Demo |
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Check out the live demo of the app on Hugging Face Spaces: |
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🔗 [YOLOv8 Object Detection App on Hugging Face](https://huggingface.co/spaces/datascientist22/object-detection-chatbot) |
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## 📂 GitHub Repository |
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You can find the source code for this project on GitHub: |
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🔗 [GitHub Repository](https://github.com/mldatascientist23/Generative_AI_Projects) |
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## 📋 Features |
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- **Upload Video**: Upload your video file in MP4, AVI, or MOV format. |
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- **Object Detection**: Detects objects in the video using the YOLOv8 model. |
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- **Processed Video Download**: Download the processed video with bounding boxes around detected objects. |
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## 🚀 How to Use |
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1. **Upload a Video**: Use the sidebar to upload a video file. |
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2. **Process the Video**: Click on the "Submit" button to start processing the video. |
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3. **Download the Result**: Once the processing is complete, download the processed video using the "Download Processed Video" button. |
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## 🛠️ Installation |
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To run the app locally, follow these steps: |
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1. Clone the repository: |
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```bash |
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git clone https://github.com/mldatascientist23/Generative_AI_Projects.git |
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cd Generative_AI_Projects/YOLOv8_Object_Detection |
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``` |
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2. Install the required packages: |
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```bash |
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pip install -r requirements.txt |
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``` |
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3. Run the Streamlit app: |
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```bash |
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streamlit run app.py |
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``` |
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## 📦 Requirements |
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- `streamlit` |
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- `opencv-python-headless` |
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- `ultralytics` |
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- `numpy` |
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## 🧑💻 Created By |
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This app was created by [Engr. Hamesh Raj](https://www.linkedin.com/in/datascientisthameshraj/). Feel free to connect with me on LinkedIn! |
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