update

Author: CodingSamrat

Project Report [FINAL] 20_05_23.docx

@@ -0,0 +1,8 @@
+{
+	"folders": [
+		{
+			"path": "."
+		}
+	],
+	"settings": {}
+}

SignLanguageRegognition.code-workspace

@@ -47,7 +47,8 @@ def main():
     CAP_HEIGHT = args.height
 
     #: mp Hands
-    USE_STATIC_IMAGE_MODE = args.use_static_image_mode
+    # USE_STATIC_IMAGE_MODE = args.use_static_image_mode
+    USE_STATIC_IMAGE_MODE = True
     MAX_NUM_HANDS = args.max_num_hands
     MIN_DETECTION_CONFIDENCE = args.min_detection_confidence
     MIN_TRACKING_CONFIDENCE = args.min_tracking_confidence
@@ -56,7 +57,7 @@ def main():
     USE_BRECT = args.use_brect
     MODE = args.mode
     DEBUG = int(os.environ.get("DEBUG", "0")) == 1
-    # CAP_DEVICE = 0
+    CAP_DEVICE = 0
 
     print("INFO: System initialization Successful")
     print("INFO: Opening Camera")
@@ -66,6 +67,8 @@ def main():
     cap = cv.VideoCapture(CAP_DEVICE)
     cap.set(cv.CAP_PROP_FRAME_WIDTH, CAP_WIDTH)
     cap.set(cv.CAP_PROP_FRAME_HEIGHT, CAP_HEIGHT)
+    
+    background_image = cv.imread("resources/background_prediction.png")
 
     #: Background Image
     background_image = cv.imread("resources/background.png")
@@ -117,7 +120,9 @@ def main():
         success, image = cap.read()
         if not success:
             continue
-
+        
+        image = cv.resize(image, (CAP_WIDTH, CAP_HEIGHT))
+        
         #: Flip Image for mirror display
         image = cv.flip(image, 1)
         debug_image = copy.deepcopy(image)
@@ -181,24 +186,30 @@ def main():
         #: -
         #: Set main video footage on Background
 
-        if MODE == 0:  #: Prediction Mode / Normal mode
+        # if MODE == 0:  #: Prediction Mode / Normal mode
 
-            #: Changing to Prediction Background and setting main video footage on Background 
-            background_image = cv.imread("resources/background_prediction.png")
-            background_image[170:170 + 480, 50:50 + 640] = debug_image
-            background_image[240:240 + 127, 731:731 + 299] = result_image
-            background_image[678:678 + 30, 118:118 + 640] = fps_log_image
+        #     #: Changing to Prediction Background and setting main video footage on Background 
+        #     background_image = cv.imread("resources/background_prediction.png")
+        #     background_image[170:170 + 480, 50:50 + 640] = debug_image
+        #     background_image[240:240 + 127, 731:731 + 299] = result_image
+        #     background_image[678:678 + 30, 118:118 + 640] = fps_log_image
 
-        elif MODE == 1:  #: Logging Mode
+        # elif MODE == 1:  #: Logging Mode
 
-            #: Changing to Logging Background and setting main video footage on Background
-            background_image = cv.imread("resources/background_logging.png")
-            background_image[170:170 + 480, 50:50 + 640] = debug_image
-            background_image[240:240 + 127, 731:731 + 299] = result_image
-            background_image[678:678 + 30, 118:118 + 640] = fps_log_image
+        #     #: Changing to Logging Background and setting main video footage on Background
+        #     background_image = cv.imread("resources/background_logging.png")
+        #     background_image[170:170 + 480, 50:50 + 640] = debug_image
+        #     background_image[240:240 + 127, 731:731 + 299] = result_image
+        #     background_image[678:678 + 30, 118:118 + 640] = fps_log_image
+        
+        
+        background_image[170:170 + 480, 50:50 + 640] = debug_image
+        background_image[240:240 + 127, 731:731 + 299] = result_image
+        background_image[678:678 + 30, 118:118 + 640] = fps_log_image
 
         # cv.imshow("Result", result_image)
         # cv.imshow("Main Frame", debug_image)
+        
         cv.imshow("Sign Language Recognition", background_image)
 
     cap.release()