fixed some bugs in picamera conversion

floppies/franc/main.py

@@ -57,26 +57,21 @@ def send_flow0(img, flow, step=4): # size grid
             # client.send_message("/franc", m)
 
 
-    flines = np.int32(flines)
-    cv2.polylines(vis, flines, 0, (0, 40, 255)) # BGR
-    for (x1, y1), (x2, y2) in flines:
-        cv2.circle(vis, (x1, y1), 1, (0, 255, 0), -1)
-    return vis
-
-    flines = np.int32(flines)
-    cv2.polylines(vis, flines, 0, (0, 40, 255)) # BGR
-    for (x1, y1), (x2, y2) in flines:
-        cv2.circle(vis, (x1, y1), 1, (0, 255, 0), -1)
-    return vis
+    # flines = np.int32(flines)
+    # cv2.polylines(vis, flines, 0, (0, 40, 255)) # BGR
+    # for (x1, y1), (x2, y2) in flines:
+    #     cv2.circle(vis, (x1, y1), 1, (0, 255, 0), -1)
+    # return vis
+
+    # flines = np.int32(flines)
+    # cv2.polylines(vis, flines, 0, (0, 40, 255)) # BGR
+    # for (x1, y1), (x2, y2) in flines:
+    #     cv2.circle(vis, (x1, y1), 1, (0, 255, 0), -1)
+    # return vis
 
     # cv2.rectangle(img, pt1, pt2, color[, thickness[, lineType[, shift]]])
 
 if __name__ == '__main__':
-    import sys
-    print help_message
-    try: fn = sys.argv[1]
-    except: fn = 0
-
  
     #data="hello"
     # client = udp_client.SimpleUDPClient("127.0.0.1", 9001)
@@ -84,10 +79,10 @@ if __name__ == '__main__':
     # connect camera
     # cam = video.create_capture("0:size=160x120") #canvas size in pixels
     cam = PiCamera()
-    framesize = (160, 120)
-    camera.resolution = framesize
-    camera.framerate = 32
-    rawCapture = PiRGBArray(camera, size=framesize)
+    framesize = (160, 128)
+    cam.resolution = framesize
+    cam.framerate = 32
+    rawCapture = PiRGBArray(cam, size=framesize)
     # allow the camera to warmup
     time.sleep(0.25)
 
@@ -97,18 +92,20 @@ if __name__ == '__main__':
     client.connect(('127.0.0.1', 9001)) # first argument is the IP of the host, second argument is the port to use
 
     prevgray = None
-    for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
+    for frame in cam.capture_continuous(rawCapture, format="bgr", use_video_port=True):
     # while True:
        # print "GRAB FRAME"
         img = frame.array
         # ret, img = cam.read()
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        if prevgray != None:
             flow = cv2.calcOpticalFlowFarneback(prevgray, gray, 0.5, 3, 15, 3, 5, 1.2, 0)
+            send_flow0(gray, flow)
         prevgray = gray
         # clear the stream in preparation for the next frame
         rawCapture.truncate(0)
 
-        # cv2.imshow('flow', send_flow0(gray, flow))
+        # cv2.imshow('flow', )
 
         #ch = 0xFF & cv2.waitKey(5)
         #if ch == 27: