Cleanup

agegenderemotion_webcam.bat

@@ -2,9 +2,9 @@
 
 :: camera resolution: 0-QVGA, 1-VGA, 2-HD, 3-FULLHD
 
-python agegenderemotion_webcam.py -h
+::python agegenderemotion_webcam.py -h
 
-python agegenderemotion_webcam.py --detector 0 --webcam 0 --resolution 0
+python agegenderemotion_webcam.py --detector 4 --webcam 0 --resolution 0
 
 
 pause

agegenderemotion_webcam.py

@@ -120,11 +120,11 @@ def process_facedetection(model_detector, model_poseestimator, model_ageestimato
 
 def run(cam_index, cam_resolution):
 
-    detector=FaceDetectorModels.HAARCASCADE
+#    detector=FaceDetectorModels.HAARCASCADE
 #    detector=FaceDetectorModels.DLIBHOG
 #    detector=FaceDetectorModels.DLIBCNN
 #    detector=FaceDetectorModels.SSDRESNET
-#    detector=FaceDetectorModels.MTCNN
+    detector=FaceDetectorModels.MTCNN
 #    detector=FaceDetectorModels.FACENET
 
     encoder=FaceEncoderModels.LBPH

enrollment.py

@@ -5,6 +5,7 @@
 import os
 import datetime
 import math
+import imutils
 from libfaceid.detector import FaceDetectorModels, FaceDetector
 from libfaceid.encoder  import FaceEncoderModels, FaceEncoder
 from libfaceid.classifier import FaceClassifierModels
@@ -109,7 +110,8 @@ def process_faceenrollment(model_detector, cam_index, cam_resolution):
     saveVideo = False
     out = None
     color_recording = (255,255,255)
-
+    is_windows = (os.name == 'nt')
+
 
     while (True):
 
@@ -143,6 +145,8 @@ def process_faceenrollment(model_detector, cam_index, cam_resolution):
             cv2.line(fg, (s1[i,0], s1[i,1]), (s2[i,0], s2[i,1]), (0, 0, 0), 2, cv2.LINE_AA)
 
         # Display updated frame
+        if is_windows:
+            fg = imutils.resize(fg, height=480)
         cv2.imshow(WINDOW_NAME, fg)
 
         # Check for user actions
@@ -216,8 +220,9 @@ def run(cam_index, cam_resolution, name):
 
     print("")
     print("Processing of video recording started...")
-    video_to_images(detector, "x" + INPUT_DIR_DATASET, name)
-    video_to_images(detector, INPUT_DIR_DATASET, name, one_image_only=True)
+#    video_to_images(detector, "x" + INPUT_DIR_DATASET, name)
+#    video_to_images(detector, INPUT_DIR_DATASET, name, one_image_only=True)
+    video_to_images(detector, INPUT_DIR_DATASET, name)
     print("Processing of video recording completed!")
     print("Make sure to train the new datasets before testing!")
     print("")
@@ -245,8 +250,9 @@ def main(args):
 
             print("")
             print("Processing of video recording started...")
-            video_to_images(detector, "x" + INPUT_DIR_DATASET, name)
-            video_to_images(detector, INPUT_DIR_DATASET, name, one_image_only=True)
+            #video_to_images(detector, "x" + INPUT_DIR_DATASET, name)
+            #video_to_images(detector, INPUT_DIR_DATASET, name, one_image_only=True)
+            video_to_images(detector, INPUT_DIR_DATASET, name)
             print("Processing of video recording completed!")
             print("Make sure to train the new datasets before testing!")
             print("")

libfaceid/speech_synthesizer.py

@@ -46,7 +46,7 @@ def synthesize_datasets(self, path_datasets):
 
     def playaudio(self, path, name, block=True):
         try:
-            if (name is not None) and (name != "Unknown"):
+            if (name is not None) and (name != "Unknown") and (name != "Fake"):
                 self._base.playaudio(path, name, block)
         except:
             print("SpeechSynthesizer playaudio EXCEPTION")

training.bat

@@ -5,5 +5,5 @@
 
 python training.py -h
 ::python training.py --detector 0 --encoder 0 --classifier 0
-python training.py --detector 4 --encoder 0 --classifier 0 --set_speech_synthesizer True --speech_synthesizer 0
+python training.py --detector 4 --encoder 1 --classifier 1 --set_speech_synthesizer True --speech_synthesizer 0
 pause