finish

src/faces-train.py

@@ -27,12 +27,11 @@ for root, dirs, files in os.walk(image_dir):
             #print(label, path)
             if not label in label_ids:
                 label_ids[label] = current_id
+                # print(label_ids)
                 current_id += 1
 
             id_ = label_ids[label]
             # print(label_ids)
-            # y_labels.append(label) #some number
-            # x_train.append(path) # verify this image turn into a numpy array ,gray
             pil_image = Image.open(path).convert("L")  # gray scale
             size = (550, 550)
             final_image = pil_image.resize(size, Image.ANTIALIAS)

src/notes.txt

@@ -1,8 +1,11 @@
 
-nagrać nagrania do pokazu footage
+
 ogarnąć strukturę projektu, posprzątać
 hover
-dzwiek jak ktos dobrze wpisze haslo
+
+
+może dzięk jak ktos przyjdzie
+zmien tapete
 
 
 
@@ -21,3 +24,5 @@ dodawanie osób do bazy jakieś wymyśleć
 szata graficzna, zmienić listen na capture
 reset listy po 20 sec zeby kolejna osoba miala szanse na rozpoznanie
 MOŻESZ ZROBIC LATWO TO ODSWIERZANIE PO PROSTU ZALADUJ JESZCZE RAZ PLIK ;)
+nagrać nagrania do pokazu footage
+dzwiek jak ktos dobrze wpisze haslo

src/smart_intercom.py

@@ -35,6 +35,9 @@ def click_event(event, x, y, flags, param):
         elif 640 <= y <= 703 and 218 <= x <= 422:  # open gate
             global wait_notification
             wait_notification = 1
+            pygame.mixer.init()
+            pygame.mixer.music.load("noises/beep-07.wav")
+            pygame.mixer.music.play()
         elif 640 <= y <= 703 and 452 <= x <= 694:  # take a photo
             global screenshot, keyboard, choose
             screenshot = 1
@@ -267,9 +270,10 @@ def click_event2(event, x, y, flags, param):
 
 
 def display_work(length):
-    global displayString
+    global displayString, switch
     if length == 1:
         putOnDisplay(outDoor, 220, 304, 54, 214, 'images/*.png')
+        switch = 1
     elif length == 2:
         putOnDisplay(outDoor, 220, 304, 54, 214, 'images/**.png')
     elif length == 3:
@@ -279,9 +283,15 @@ def display_work(length):
             putOnDisplay(outDoor, 220, 304, 54, 214, 'images/goodpass.png')
             global wait_notification
             wait_notification = 1
+            if (switch == 1):
+                pygame.mixer.init()
+                pygame.mixer.music.load("noises/beep-07.wav")
+                pygame.mixer.music.play()
+                switch = 0
             if wait_seconds2(3) == True:
                 name_of_photo[2] = name_of_photo[2] + 1
                 displayString = displayString + '#'
+
         else:
             putOnDisplay(outDoor, 220, 304, 54, 214, 'images/badpass.png')
             if wait_seconds2(3) == True:
@@ -451,7 +461,7 @@ def putStatsOnDisplay():
 
 
 # Declaration
-global displayString, wait_notification, wait_add, temp1, temp2, temp3, temp4, temp5, temp6, refresh, name_of_photo, stats_status, screenshot, cam_status, show_who, is_recording, show_list, choose,  keyboard, keyboardChar, keyboardString, keyboardWork
+global displayString, wait_notification, wait_add, temp1, temp2, temp3, temp4, switch, temp5, temp6, refresh, name_of_photo, stats_status, screenshot, cam_status, show_who, is_recording, show_list, choose,  keyboard, keyboardChar, keyboardString, keyboardWork
 mydb = mysql.connector.connect(
     host="localhost",
     user="root",
@@ -472,6 +482,7 @@ temp4 = None
 temp5 = None
 temp6 = None
 wait_notification = 0
+switch = 0
 wait_add = 0
 cam_status = 0
 stats_status = 0
@@ -485,6 +496,7 @@ show_list = 0
 List = []
 out = None
 refresh = 1
+attempt = 15
 
 font = cv2.FONT_HERSHEY_SIMPLEX
 # Wyczytywanie zmiennych z pliku
@@ -497,7 +509,13 @@ with open("variable.pickle", "rb") as f:
 
 
 # Ustawianie parametrów kamery
-cap = cv2.VideoCapture(0)
+#cap = cv2.VideoCapture(0)
+cap = cv2.VideoCapture('recordings/footage.mp4')  # pokaz
+# cap = cv2.VideoCapture('recordings/footage2.mp4') #zle
+# cap = cv2.VideoCapture('recordings/footage3.mp4')  #pokaz2
+# cap = cv2.VideoCapture('recordings/footage4.mp4')  #pokaz2
+# cap = cv2.VideoCapture('recordings/footage5.mp4') #zle
+#cap = cv2.VideoCapture('recordings/footage6.mp4') # pol na pol
 cap.set(3, 1280)
 cap.set(4, 720)
 ret, frame1 = cap.read()
@@ -505,7 +523,7 @@ ret, frame2 = cap.read()
 
 
 while True:
-
+    # print("brak")
     if(refresh == 1):
         # Wczytywanie listy osób które znajdują się w bazie
 
@@ -520,7 +538,6 @@ while True:
             'cascades/data/haarcascade_frontalface_alt2.xml')
         recognizer = cv2.face.LBPHFaceRecognizer_create()
         recognizer.read("trainner.yml")
-
         print("odswierzam")
         refresh = 0
 
@@ -531,11 +548,8 @@ while True:
     # Wykrywanie ruchu
 
     diff = cv2.absdiff(frame1, frame2)
-    # cv2.imshow('diff',diff)
     gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)
-    # cv2.imshow('gray',gray)
     blur = cv2.GaussianBlur(gray, (5, 5), 0)
-    # cv2.imshow('blur',blur)
     _, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)
     dilated = cv2.dilate(thresh, None, iterations=3)
     contours, _ = cv2.findContours(
@@ -543,9 +557,10 @@ while True:
 
     for contour in contours:
 
-        if cv2.contourArea(contour) < 10000:
+        if cv2.contourArea(contour) < 20000:
             continue
         # aktualizacja czasu nagrywania (nagrywa do 20 sec po ostatnim wykryciu ruchu)
+        print("ruch")
         temp4 = datetime.datetime.now()
         if is_recording == 0:
 
@@ -597,7 +612,7 @@ while True:
     faces = face_cascade.detectMultiScale(
         gray, scaleFactor=1.5, minNeighbors=5)
 
-    if len(List) < 11:
+    if len(List) < attempt:
 
         for (x, y, w, h) in faces:
 
@@ -606,23 +621,27 @@ while True:
             id_, conf = recognizer.predict(roi_gray)
 
             if conf >= 1:
-
+                print("rozpoznano:" + labels[id_])
                 count = count + 1
                 List.append(labels[id_])
 
     # Wyłączenie widoku kamery w podglądzie
-
+    putOnDisplay(frame, 620, 720, 0, 1280, 'images/menu.png')
     if cam_status == 0:
         putOnDisplay(frame, 0, 720, 0, 1280, "images/black.png")
+        actual_time = str(
+            datetime.datetime.now().strftime("%H:%M:%S"))
+        cv2.putText(frame, actual_time, (700, 100),
+                    font, 2, (255, 255, 255), 1, cv2.LINE_AA)
 
     # Powiadomienie o rozpoznaniu osoby
 
-    if len(List) > 0 and len(List) < 11:
+    if len(List) > 0 and len(List) < attempt:
         print("lista: " + str(len(List)))
         if wait_seconds6(30) == True:
             List = []
 
-    if len(List) == 11:
+    if len(List) >= attempt:
         font = cv2.FONT_HERSHEY_SIMPLEX
         putOnDisplay(frame, 120, 255, 60, 430, "images/is_coming.png")
         cv2.putText(frame, most_frequent(List), (80, 170),
@@ -654,7 +673,7 @@ while True:
             cv2.putText(frame, "motion detected", (500, 500),
                         font, 1, (255, 255, 255), 2, cv2.LINE_AA)
 
-        if wait_seconds4(20) == True:
+        if wait_seconds4(5) == True:
             is_recording = 0
 
     # Wybór podczas robienia zdjecia #####################################
@@ -685,7 +704,6 @@ while True:
             cv2.putText(frame, name, (716, 200 + poz*40),
                         font, 1, (255, 255, 255), 2, cv2.LINE_AA)
             poz = poz + 1
-            print("files 0 to: " + files[0])
     # Klawiatura
 
     if keyboard == 1:
@@ -706,7 +724,7 @@ while True:
 
     # Umieszczenie więkości interfejsu
 
-    putOnDisplay(frame, 620, 720, 0, 1280, 'images/menu.png')
+    
 
     putOnDisplay(frame, 640, 640 + 63, 20, 188, 'images/camera.png')
     putOnDisplay(frame, 640, 640 + 63, 218, 422, 'images/open_gate.png')