modify face_recogniser

Face_Recognizer.py

@@ -14,7 +14,7 @@
 import distutils
 import sklearn.neighbors.typedefs
 import configparser
-
+import screeninfo
 
 # Load the Knn model
 knn = joblib.load('Dependencies/KNN_classifier_model.sav')
@@ -143,6 +143,7 @@ def face_recognizer():
     :return:It displays the image obtained from camera with bounding and text if faces are detected.
     """
     # Initializes a variable for Video Capture
+    screen_detail = screeninfo.get_monitors()[0]
     cap = cv2.VideoCapture(0)
     frame_array = []
     while True:
@@ -190,16 +191,26 @@ def face_recognizer():
                     person_name = database_list[0][0]
 
                     # Draw the bounding box and write name on top of the face.
+
                     frame = draw_rectangle(frame, (cal_left, cal_top), (cal_right, cal_bottom), frame_rect_color, False)
                     frame = draw_rectangle(frame, (cal_left, cal_top - 30), (cal_right, cal_top), frame_rect_color, True)
                     frame = write_text(frame, person_name, (cal_left + 6, cal_top - 6), frame_text_color)
 
             frame_array.append(frame)
             cv2.imshow('Frame: Press q to quit the frame', frame)
+
+
+            window_name = 'Results of Recognition: Press q to quit the window'
+            # Results are displayed in full screen
+            cv2.namedWindow(window_name, cv2.WND_PROP_FULLSCREEN)
+            cv2.moveWindow(window_name, screen_detail.x - 1, screen_detail.y - 1)
+            cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+            cv2.imshow(window_name, image)
+
+
             # Break the loop when 'q' is pressed
             if cv2.waitKey(25) & 0xff == ord('q'):
-                video_write(frame_arraywq
-                            )
+                video_write(frame_array)
                 break
         else:
             break

requirements_Ubuntu.txt

@@ -0,0 +1,97 @@
+absl-py==0.7.0
+altgraph==0.16.1
+astor==0.7.1
+attrs==18.2.0
+auto-py-to-exe==2.5.2
+backcall==0.1.0
+beautifulsoup4==4.7.1
+bottle==0.12.16
+bottle-websocket==0.2.9
+bs4==0.0.1
+certifi==2018.11.29
+chardet==3.0.4
+Click==7.0
+click-plugins==1.0.4
+cligj==0.5.0
+configparser==3.7.4
+cycler==0.10.0
+Cython==0.29.5
+darkflow==1.0.0
+decorator==4.3.0
+descartes==1.1.0
+dlib==19.16.0
+Eel==0.10.4
+face-recognition==1.2.3
+face-recognition-models==0.3.0
+Fiona==1.8.4
+future==0.17.1
+gast==0.2.2
+geopandas==0.4.0
+gevent==1.4.0
+gevent-websocket==0.10.1
+google-images-download==2.5.0
+greenlet==0.4.15
+grpcio==1.19.0
+h5py==2.9.0
+idna==2.8
+imutils==0.5.2
+ipython==7.2.0
+ipython-genutils==0.2.0
+jedi==0.13.2
+Keras==2.2.4
+Keras-Applications==1.0.7
+Keras-Preprocessing==1.0.9
+kiwisolver==1.0.1
+labelImg==1.8.1
+lxml==4.2.4
+macholib==1.11
+Markdown==3.0.1
+matplotlib==3.0.2
+mock==2.0.0
+munch==2.3.2
+networkx==2.2
+nms==0.1.6
+numpy==1.16.2
+opencv-python==3.4.4.19
+osmnx==0.9
+pandas==0.24.1
+parso==0.3.1
+pbr==5.1.2
+pefile==2018.8.8
+pexpect==4.6.0
+pickleshare==0.7.5
+Pillow==5.3.0
+pprint==0.1
+prompt-toolkit==2.0.7
+protobuf==3.6.1
+ptyprocess==0.6.0
+Pygments==2.3.1
+PyInstaller==3.4
+pyparsing==2.3.1
+pyproj==1.9.6
+PyQt5==5.10.1
+python-dateutil==2.8.0
+pytz==2018.9
+PyYAML==3.13
+requests==2.21.0
+Rtree==0.8.3
+scikit-learn==0.20.3
+scipy==1.2.0
+screeninfo==0.3
+selenium==3.141.0
+Shapely==1.7a1
+sip==4.19.8
+six==1.12.0
+sklearn==0.0
+soupsieve==1.8
+tensorboard==1.13.0
+tensorflow==1.13.1
+tensorflow-estimator==1.13.0
+termcolor==1.1.0
+traitlets==4.3.2
+urllib3==1.24.1
+wcwidth==0.1.7
+Werkzeug==0.14.1
+whichcraft==0.5.2
+xlrd==1.2.0
+XlsxWriter==1.1.2