Metadata-Version: 2.1
Name: yolo5face
Version: 0.0.4
Summary: Wrapper over Yolo5Face for a more convenient inference.
Home-page: https://github.com/ternaus/yolov5faceInference
Author: Vladimir Iglovikov
License: MIT
Description: # Wrapper over YoloV5Face
        
        ![](https://habrastorage.org/webt/gy/-1/xd/gy-1xdtfz3_i7xxt-nqzl4mfhuw.jpeg)
        
        ### Installation
        
        ```
        pip install -U yolo5face
        ```
        
        ### Inference
        ```
        from yolo5face.get_model import get_model
        
        model = get_model("yolov5n", gpu=-1, target_size=512, min_face=24)
        
        image = cv2.imread(<IMAGE_PATH>)
        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        
        boxes, key_points = model(image)
        
        ```
        
        * `gpu` - GPU number, `-1` or `cpu` for CPU
        * `target_size` - min size of the target_image
        * `min_face` - minimum face size in pixels. All faces that have side smaller than `min_face` will be ignored.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: test
