EVM ohne Buffer/main.py → EVMProject/main.py

@@ -22,11 +22,13 @@ class main():
 
     def video(self):
         cap = cv2.VideoCapture(0)
-
+        print("VideoCapture")
         while   len(self.BUFFER) < self.BUFFER_LEN:
             start_time = time.time()
             ret, frame = cap.read()
+            
             frame = cv2.resize(frame, (500, 500))
+            # why resize if we later call a pyramid?
             self.BUFFER.append(frame)
             stop_time = time.time()
             self.FPS_BUFFER.append(stop_time-start_time)

EVM ohne Buffer/preprocessing.py → EVMProject/preprocessing.py

@@ -27,7 +27,9 @@ def read_video(path):
             for (x, y, w, h) in face_rects:
                 roi_frame = img[y:y + h, x:x + w]
             if roi_frame.size != img.size:
+                
                 roi_frame = cv2.resize(roi_frame, (500, 500))
+                #duplicate resize
                 frame = np.ndarray(shape=roi_frame.shape, dtype="float")
                 frame[:] = roi_frame * (1. / 255)
                 video_frames.append(frame)

test.py

@@ -1,2 +1,32 @@
+"""
+This File tests if a camera is connected and working
+It should display a live stream in grayscale
+"""
+
 print("Hallo, Welt!")
-print("Hallo, Welt 2 !")
+
+
+
+
+import numpy as np
+import cv2 as cv
+cap = cv.VideoCapture(0)
+if not cap.isOpened():
+    print("Cannot open camera")
+    exit()
+while True:
+    # Capture frame-by-frame
+    ret, frame = cap.read()
+    # if frame is read correctly ret is True
+    if not ret:
+        print("Can't receive frame (stream end?). Exiting ...")
+        break
+    # Our operations on the frame come here
+    gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
+    # Display the resulting frame
+    cv.imshow('frame', gray)
+    if cv.waitKey(1) == ord('q'):
+        break
+# When everything done, release the capture
+cap.release()
+cv.destroyAllWindows()