Update app.py

app.py

@@ -6,7 +6,7 @@ import argparse
 from PIL import Image
 import numpy as np
 
-MIN_FACE_SIZE = 3
+MIN_FACE_SIZE = 12
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Test MTCNN',
@@ -24,12 +24,12 @@ def parse_args():
     parser.add_argument('--input_mode', default=1,help='image or video', type=int)
     args = parser.parse_args()
     return args
-def greet(name):
+def greet(请上传待检测人脸图片):
     args = parse_args()
     thresh = [float(i) for i in (args.thresh).split('[')[1].split(']')[0].split(',')]
     pnet, rnet, onet = create_mtcnn_net(p_model_path=args.pnet_path, r_model_path=args.rnet_path,o_model_path=args.onet_path, use_cuda=args.use_cuda)
     mtcnn_detector = MtcnnDetector(pnet=pnet, rnet=rnet, onet=onet, min_face_size=args.min_face_size,threshold=thresh)
-    img = cv2.imread(name)
+    img = cv2.imread(请上传待检测人脸图片)
     b,g,r = cv2.split(img)
     img_bg = cv2.merge([r,g,b])
     p_bboxs, r_bboxs, bboxs, landmarks = mtcnn_detector.detect_face(img)