This project comprises several Python scripts, each designed for specific multimedia and AI-driven tasks. Below is a breakdown of each file, its features, applications, and how to run it.
- Applies various effects to video streams.
- Features:
- Allows users to apply real-time video effects.
- Applications:
- Live video editing, fun video filters, etc.
- How to Run:
python video_effects.py
- Implements a virtual assistant that can analyze both audio and video inputs to help users troubleshoot technical issues.
- Features:
- Processes audio and video streams.
- Provides step-by-step instructions to solve technical problems based on the analyzed input.
- Highlights problem areas in the video stream.
- Applications:
- Remote technical support, interactive troubleshooting guides.
- How to Run:
python virtual_assistant.py
- Combines voice commands with object detection in a video stream.
- Features:
- Real-time object detection.
- Voice-controlled activation/deactivation of object detection.
- Applications:
- Security systems, interactive applications.
- How to Run:
python voice_operated_detect_object.py
- Streams audio to an AI service for real-time processing and response.
- Features:
- Audio streaming to AI.
- Real-time response based on audio input.
- Applications:
- Live translation, voice-controlled applications.
- How to Run:
python AI_audio_stream.py
- Flips a video horizontally or vertically.
- Features:
- Video flipping.
- Applications:
- Correcting video orientation, creative video effects.
- How to Run:
python flip-video.py
- Detects objects in a video stream using a pre-trained model.
- Features:
- Real-time object detection.
- Applications:
- Security, surveillance, and object recognition.
- How to Run:
python detect_object.py
- Analyzes a video stream and provides a textual description of the scene.
- Features:
- Scene description generation.
- Applications:
- Accessibility tools, automated video analysis.
- How to Run:
python describe_scene.py
- Streams audio from a microphone.
- Features:
- Real-time audio streaming.
- Applications:
- Voice recording, live audio transmission.
- How to Run:
python audio_stream.py
The OPENROUTER_API_KEY
should be set as an environment variable. You can do this by exporting it in your terminal:
export OPENROUTER_API_KEY=your_api_key
Ensure you have the necessary libraries installed. You can install them using pip:
pip install -r requirements.txt
(Note: A requirements.txt
file listing all dependencies should be included in the project.)
Refer to the specific script's documentation or comments for detailed usage instructions and available options.