changing file path of vid for tracking on new dev branch

python/vernier_tracker.py

@@ -18,7 +18,7 @@ port = 57120
 client = SimpleUDPClient(ip, port)  # Create client
 
 # Read video (eventually will be the live capture from the camera)
-video = cv2.VideoCapture("/home/mwinter/Portfolio/a_history_of_the_domino_problem/a_history_of_the_domino_problem/recs/a_history_of_the_domino_problem_final_documentation_hq.mp4")
+video = cv2.VideoCapture("/home/mwinter/Portfolio/a_history_of_the_domino_problem/a_history_of_the_domino_problem_git_rebase/recs/a_history_of_the_domino_problem_final_documentation_hq.mp4")
 
 # Exit if video not opened.
 if not video.isOpened():
@@ -32,8 +32,8 @@ if not ok:
     print('Cannot read video file')
     sys.exit()
 
-#frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY) 
-#frame = cv2.GaussianBlur(frame,(5,5),cv2.BORDER_DEFAULT) 
+#frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
+#frame = cv2.GaussianBlur(frame,(5,5),cv2.BORDER_DEFAULT)
 
 # all this for selecting ROI
 #xROI = cv2.selectROI('Tracking', initFrame)
@@ -57,8 +57,8 @@ centroidY = [0, 0]
 def track(frame, ROI, centroid, update):
     if(update):
         crop = frame[int(ROI[1]):int(ROI[1]+ROI[3]), int(ROI[0]):int(ROI[0]+ROI[2])]
-        crop = cv2.cvtColor(crop, cv2.COLOR_RGB2GRAY) 
-        crop = cv2.GaussianBlur(crop,(7,7),cv2.BORDER_DEFAULT) 
+        crop = cv2.cvtColor(crop, cv2.COLOR_RGB2GRAY)
+        crop = cv2.GaussianBlur(crop,(7,7),cv2.BORDER_DEFAULT)
 
         #ret, thresh = cv2.threshold(crop, 100, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY)
         ret,thresh = cv2.threshold(crop, 50, 255, 0)
@@ -77,7 +77,7 @@ def detect_motion():
     # grab global references to the video stream, output frame, and
     # lock variables
     global vs, outputFrame, lock
-    
+
     frameCountMod = 0
     centroidX = [0, 0]
     centroidY = [0, 0]
@@ -107,17 +107,17 @@ def detect_motion():
         # Display result
         #cv2.imshow("Tracking", frame)
         #cv2.imshow("Crop", crop)
-        
+
         with lock:
             outputFrame = frame.copy()
 
         # Exit if ESC pressed
         #k = cv2.waitKey(1) & 0xff
-        #if k == 27 : 
+        #if k == 27 :
         #    cv2.destroyWindow('Tracking')
         #    break
-    
-        
+
+
 @app.route('/')
 def index():
     """Video streaming home page."""
@@ -145,7 +145,7 @@ def generate():
                 continue
 
         # yield the output frame in the byte format
-        yield(b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' + 
+        yield(b'--frame\r\n' b'Content-Type: image/jpeg\r\n\r\n' +
             bytearray(encodedImage) + b'\r\n')
 
 
@@ -159,4 +159,4 @@ if __name__ == '__main__':
     t = threading.Thread(target=detect_motion)
     t.daemon = True
     t.start()
-    app.run(host='10.0.0.5', threaded=True)
+    app.run(host='127.0.0.1', port=5000, threaded=True)