DeepPerson
A simple person re-identification system with automatic person detection and embedding generation.
Installation
pip install deep-person
Quick Start
from deep_person import DeepPerson
dp = DeepPerson()
# Generate embeddings
result = dp.represent("person.jpg")
# Verify if two images show the same person
result = dp.verify("person1.jpg", "person2.jpg")
print(f"Same person: {result['verified']}")
Features
- Automatic person detection - YOLO-based detection
- Multi-modal embeddings - Body (2048-dim) + Face (512-dim) or via Model Registry
- Identity verification - Cosine/Euclidean distance metrics
- GPU acceleration - Automatic CUDA detection with CPU fallback
- Batch processing - Efficient multi-image handling
Requirements
- Python 3.11+
- Models downloaded automatically on first use
- Optional: CUDA GPU for faster processing
1 maintainer
Metadata
1 maintainer
Release files for deep-person 0.2.0
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Source distribution (sdist)
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| deep_person-0.2.0.tar.gz | 283.5 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deep_person-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 330.2 kB
Release files / deep_person-0.2.0.tar.gz
| Download URL | deep_person-0.2.0.tar.gz |
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| Size | 46.7 kB |
| Tags | Python 3 |
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