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| import numpy as np | |
| # pip install insightface==0.7.3 | |
| from insightface.app import FaceAnalysis | |
| from insightface.data import get_image as ins_get_image | |
| ### | |
| # https://github.com/cubiq/ComfyUI_IPAdapter_plus/issues/165#issue-2055829543 | |
| ### | |
| class FaceAnalysis2(FaceAnalysis): | |
| # NOTE: allows setting det_size for each detection call. | |
| # the model allows it but the wrapping code from insightface | |
| # doesn't show it, and people end up loading duplicate models | |
| # for different sizes where there is absolutely no need to | |
| def get(self, img, max_num=0, det_size=(640, 640)): | |
| if det_size is not None: | |
| self.det_model.input_size = det_size | |
| return super().get(img, max_num) | |
| def analyze_faces(face_analysis: FaceAnalysis, img_data: np.ndarray, det_size=(640, 640)): | |
| # NOTE: try detect faces, if no faces detected, lower det_size until it does | |
| detection_sizes = [None] + [(size, size) for size in range(640, 256, -64)] + [(256, 256)] | |
| for size in detection_sizes: | |
| faces = face_analysis.get(img_data, det_size=size) | |
| if len(faces) > 0: | |
| return faces | |
| return [] | |