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| # -*- coding: utf-8 -*- | |
| # @Organization : insightface.ai | |
| # @Author : Jia Guo | |
| # @Time : 2021-05-04 | |
| # @Function : | |
| from __future__ import division | |
| import onnxruntime | |
| __all__ = ['FaceAnalysis'] | |
| from utils.common import Face | |
| from models.arcface_onnx import ArcFaceONNX | |
| from models.attribute import Attribute | |
| from models.landmark import Landmark | |
| from models.retinaface import RetinaFace | |
| from huggingface_hub import hf_hub_download | |
| REPO_ID = "leonelhs/insightface" | |
| model_detector_path = hf_hub_download(repo_id=REPO_ID, filename="det_10g.onnx") | |
| model_landmark_3d_68_path = hf_hub_download(repo_id=REPO_ID, filename="1k3d68.onnx") | |
| model_landmark_2d_106_path = hf_hub_download(repo_id=REPO_ID, filename="2d106det.onnx") | |
| model_genderage_path = hf_hub_download(repo_id=REPO_ID, filename="genderage.onnx") | |
| model_recognition_path = hf_hub_download(repo_id=REPO_ID, filename="w600k_r50.onnx") | |
| class FaceAnalysis: | |
| def __init__(self): | |
| onnxruntime.set_default_logger_severity(3) | |
| self.detector = RetinaFace(model_file=model_detector_path, input_size=(640, 640), det_thresh=0.5) | |
| self.landmark_3d_68 = Landmark(model_file=model_landmark_3d_68_path) | |
| self.landmark_2d_106 = Landmark(model_file=model_landmark_2d_106_path) | |
| self.genderage = Attribute(model_file=model_genderage_path) | |
| self.recognition = ArcFaceONNX(model_file=model_recognition_path) | |
| def get(self, img, max_num=0): | |
| bboxes, kpss = self.detector.detect(img, | |
| max_num=max_num, | |
| metric='default') | |
| if bboxes.shape[0] == 0: | |
| return [] | |
| ret = [] | |
| for i in range(bboxes.shape[0]): | |
| bbox = bboxes[i, 0:4] | |
| det_score = bboxes[i, 4] | |
| kps = None | |
| if kpss is not None: | |
| kps = kpss[i] | |
| face = Face(bbox=bbox, kps=kps, det_score=det_score) | |
| self.landmark_3d_68.get(img, face) | |
| self.landmark_2d_106.get(img, face) | |
| self.genderage.get(img, face) | |
| self.recognition.get(img, face) | |
| ret.append(face) | |
| return ret |