This repository expands upon Apple's ML-Depth Pro to showcase depth perception in images and real-time video feeds. My goal was to explore the model's capabilities and extend its use to live video streams.
- Image-based depth perception: Apply the model to static images.
- Video demonstration: Generate depth maps for pre-recorded videos.
- Live video integration: Real-time depth perception with a live feed.
- Python 3.9
- PyTorch
- OpenCV
- Additional libraries (see
requirements.txt)
- Clone this repository:
git clone https://github.com/username/ml-depth-perception.git
- Install dependencies:
pip install -r requirements.txt
- Run the static image demo:
python src/depth_model.py --input data/sample_images/image1.jpg
- Run the video demo:
python src/depth_model.py --video examples/video.mp4
- Start the live feed:
python src/live_video_feed.py
This project builds upon the ML-Depth Pro repository developed by Apple Inc. I would like to acknowledge the fantastic work of Apple's Machine Learning team in creating the original model.
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