VLM-RECog
A Python library for zero-shot object detection and segmentation using Vision-Language Models (VLMs), built on Google's Gemini 2.5 Flash model.
Installation
pip install vlm-recog
export GEMINI_API_KEY=<your_api_key>
Requirements
- Python 3.11+
- Google Gemini API key (set as
GEMINI_API_KEYenvironment variable)
Quick Start
from PIL import Image
from vlm_recog.detection import detect
from vlm_recog.visualization import draw_detections
# Load an image
image = Image.open("path/to/image.jpg")
# Detect objects by text labels
result = detect(image, ["dog", "bicycle", "person"])
# Visualize results
output_image = draw_detections(image, result)
output_image.show()
Demo
1 maintainer
Metadata
1 maintainer
Release files for vlm-recog 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| vlm_recog-0.2.2.tar.gz | 943.5 kB | Without provenance | Details |
Built distribution (wheel)
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| vlm_recog-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 951.7 kB
Release files / vlm_recog-0.2.2.tar.gz
| Download URL | vlm_recog-0.2.2.tar.gz |
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| Size | 943.5 kB |
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Release files / vlm_recog-0.2.2-py3-none-any.whl
| Download URL | vlm_recog-0.2.2-py3-none-any.whl |
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| Size | 8.2 kB |
| Tags | Python 3 |
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