trying new face detection model (trained on mid size faces only(scale factor 6-8))

app/__init__.py

@@ -10,7 +10,8 @@ from face_recognition import helper as fr_helper
 
 
 # face_detector=fd.face_detection("face_detection/Models/v1")
-face_detector=fd.face_detection("face_detection/Models/mobilenet")
+# face_detector=fd.face_detection("face_detection/Models/mobilenet")
+face_detector=fd.face_detection("face_detection/Models/BestMap")
 face_detector.square_preprocessing=fd.square_pad()
 # face_recognizer=fr.face_recognition("face_recognition/Models/v1")
 # face_recognizer=fr.face_recognition("face_recognition/Models/mobilenet_basic_lfw")

face_detection/Models/BestMap/anchors.txt

@@ -0,0 +1,5 @@
+1.301617145538330078e+00 1.570287585258483887e+00
+2.205962896347045898e+00 2.635638713836669922e+00
+2.868087053298950195e+00 3.392648935317993164e+00
+3.687522888183593750e+00 4.747292041778564453e+00
+6.475809812545776367e-01 7.812500000000000000e-01

face_detection/Models/BestMap/config.py

@@ -0,0 +1,2 @@
+p_thres=0.6
+nms_thres=0.3

face_detection/Models/BestMap/model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:511ad38f453eb23d63105801636e250aea5b13c1448fe8837c43900524a89c2f
+size 39289720

face_detection/Models/Final/anchors.txt

@@ -0,0 +1,5 @@
+1.301617145538330078e+00 1.570287585258483887e+00
+2.205962896347045898e+00 2.635638713836669922e+00
+2.868087053298950195e+00 3.392648935317993164e+00
+3.687522888183593750e+00 4.747292041778564453e+00
+6.475809812545776367e-01 7.812500000000000000e-01

face_detection/Models/Final/config.py

@@ -0,0 +1,2 @@
+p_thres=0.6
+nms_thres=0.3

face_detection/Models/Final/model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1d9c69962063528eb78b630c6552cc0605804b900d9d59b9e875cb412f149ed
+size 39289720

face_detection/create_load_model.py

@@ -18,7 +18,7 @@ class yolo_reshape(tf.keras.layers.Layer):
     return tf.reshape(output_layer,[shape[0],shape[1],shape[2],self.num_anchors,self.last_item])
   
   def compute_output_shape(self, input_shape):
-    return (input_shape[0],input_shape[1],input_shape[2],num_anchors,self.last_item, self.num_anchors,self.last_item)
+    return (input_shape[0],input_shape[1],input_shape[2],self.num_anchors,self.last_item)
 
   
   def get_config(self):