Commit 8a0fddf0 authored by narugo1992's avatar narugo1992
Browse files

dev(narugo): use face detect v1.4

parent ca7127d5

docs/source/api_doc/detect/face_detect_benchmark.plot.py

+2 −0
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@@ -26,6 +26,8 @@ class FaceDetectBenchmark(BaseBenchmark): 
if __name__ == '__main__':

    create_plot_cli(

        [

            ('face v1.4 (yolov8s)', FaceDetectBenchmark('s', 'v1.4')),

            ('face v1.4 (yolov8n)', FaceDetectBenchmark('n', 'v1.4')),

            ('face v1.3 (yolov8s)', FaceDetectBenchmark('s', 'v1.3')),

            ('face v1.3 (yolov8n)', FaceDetectBenchmark('n', 'v1.3')),

            ('face v1 (yolov8s)', FaceDetectBenchmark('s', 'v1')),

docs/source/api_doc/detect/face_detect_benchmark.plot.py.svg

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docs/source/api_doc/detect/face_detect_demo.plot.py.svg

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imgutils/detect/face.py

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@@ -28,14 +28,14 @@ from ..utils import open_onnx_model 




@lru_cache()

def _open_face_detect_model(level: str = 's', version: str = 'v1.3'):

def _open_face_detect_model(level: str = 's', version: str = 'v1.4'):

    return open_onnx_model(hf_hub_download(

        f'deepghs/anime_face_detection',

        f'face_detect_{version}_{level}/model.onnx'

    ))





def detect_faces(image: ImageTyping, level: str = 's', version: str = 'v1.3', max_infer_size=640,

def detect_faces(image: ImageTyping, level: str = 's', version: str = 'v1.4', max_infer_size=640,

                 conf_threshold: float = 0.25, iou_threshold: float = 0.7) \

        -> List[Tuple[Tuple[int, int, int, int], str, float]]:

    """
@@ -46,7 +46,8 @@ def detect_faces(image: ImageTyping, level: str = 's', version: str = 'v1.3', ma 
    :param level: The model level being used can be either `s` or `n`.

        The `n` model runs faster with smaller system overface, while the `s` model achieves higher accuracy.

        The default value is `s`.

    :param version: Version of model, default is ``v1.3``. Available versions are ``v0``, ``v1`` and ``v1.3``.

    :param version: Version of model, default is ``v1.4``.

        Available versions are ``v0``, ``v1``, ``v1.3`` and ``v1.4``.

    :param max_infer_size: The maximum image size used for model inference, if the image size exceeds this limit,

        the image will be resized and used for inference. The default value is `640` pixels.

    :param conf_threshold: The confidence threshold, only detection results with confidence scores above

test/detect/test_face.py

+4 −4
Original line number Diff line number Diff line
@@ -24,10 +24,10 @@ class TestDetectHead: 
            values.append((bbox, int(score * 1000) / 1000))



        assert values == pytest.approx([

            ((966, 141, 1084, 261), 0.852),

            ((247, 206, 330, 287), 0.799),

            ((479, 282, 523, 327), 0.689),

            ((662, 465, 705, 513), 0.681),

            ((967, 143, 1084, 261), 0.851),

            ((246, 208, 331, 287), 0.81),

            ((662, 466, 705, 514), 0.733),

            ((479, 283, 523, 326), 0.72),

        ])



    def test_detect_faces_none(self):