File size: 1,478 Bytes
6c17d81 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
title: Glad8tr Video Analysis
emoji: 🎥
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
---
# Glad8tr Video Analysis
This is a video analysis application that uses computer vision to detect objects, analyze poses, and provide cognitive state analysis. The application is deployed on Hugging Face Spaces.
## Features
- Object detection and tracking
- Pose estimation and analysis
- Scene context analysis
- Cognitive state analysis
- Real-time video processing
## Usage
1. Upload a video file (supported formats: MP4, AVI, MOV)
2. The application will process the video and provide:
- Object detection results
- Pose analysis
- Scene context information
- Cognitive state analysis
3. Download the processed video with annotations
## Technical Details
- Built with PyTorch and YOLOv8
- Uses Gradio for the web interface
- Optimized for Hugging Face Spaces deployment
- Processes videos in real-time with frame sampling
## Limitations
- Processing is limited to the first 100 frames for demo purposes
- Maximum video resolution: 1920x1080
- Processing time depends on video length and complexity
## Model Information
The application uses two YOLOv8 models:
1. Object detection model (glad8trv8s.pt)
2. Pose estimation model (glad8trv8s-pose.pt)
If the custom models are not available, the application will fall back to the base YOLOv8 models.
## License
This project is licensed under the MIT License. |