Delete main.py.txt

main.py.txt

@@ -1,57 +0,0 @@
-#!/usr/bin/env python
-
-import os
-import os.path as osp
-import argparse
-import cv2
-import numpy as np
-import onnxruntime
-from scrfd import SCRFD
-from arcface_onnx import ArcFaceONNX
-
-onnxruntime.set_default_logger_severity(5)
-
-assets_dir = osp.expanduser('~/.insightface/models/buffalo_l')
-
-detector = SCRFD(os.path.join(assets_dir, 'det_10g.onnx'))
-detector.prepare(0)
-model_path = os.path.join(assets_dir, 'w600k_r50.onnx')
-rec = ArcFaceONNX(model_path)
-rec.prepare(0)
-
-def parse_args() -> argparse.Namespace:
-    parser = argparse.ArgumentParser()
-    parser.add_argument('img1', type=str)
-    parser.add_argument('img2', type=str)
-    return parser.parse_args()
-
-
-def func(args):
-    image1 = cv2.imread(args.img1)
-    image2 = cv2.imread(args.img2)
-    bboxes1, kpss1 = detector.autodetect(image1, max_num=1)
-    if bboxes1.shape[0]==0:
-        return -1.0, "Face not found in Image-1"
-    bboxes2, kpss2 = detector.autodetect(image2, max_num=1)
-    if bboxes2.shape[0]==0:
-        return -1.0, "Face not found in Image-2"
-    kps1 = kpss1[0]
-    kps2 = kpss2[0]
-    feat1 = rec.get(image1, kps1)
-    feat2 = rec.get(image2, kps2)
-    sim = rec.compute_sim(feat1, feat2)
-    if sim<0.2:
-        conclu = 'They are NOT the same person'
-    elif sim>=0.2 and sim<0.28:
-        conclu = 'They are LIKELY TO be the same person'
-    else:
-        conclu = 'They ARE the same person'
-    return sim, conclu
-
-
-
-if __name__ == '__main__':
-    args = parse_args()
-    output = func(args)
-    print('sim: %.4f, message: %s'%(output[0], output[1]))
-