class CaraCara:
def __init__(self, window_name, image_iterator, cascade, overlay):
cv.NamedWindow(window_name, cv.CV_WINDOW_AUTOSIZE)
self.window_name = window_name
self.image_iterator = image_iterator
self.cascade = cv.Load(cascade)
self.texts = deque(("What am I gonna do?", "Mark an object with the mouse!", "Tracking..."))
self.tracker = ObjectTracker(window_name, overlay)
def mainloop(self):
fps_buffer = []
group_size = 20
for img in self.image_iterator:
try:
t = cv.GetTickCount()
faces = detect_faces(img, self.cascade)
img = self.tracker.track_object(img)
#draw_surrounding_rectangles(img, faces)
write_text(img, self.texts, faces)
cv.ShowImage(self.window_name, img)
if cv.WaitKey(10) >= 0:
break
t = cv.GetTickCount() - t
fps_buffer.append((cv.GetTickFrequency() * 1000000.) / t)
if len(fps_buffer) == group_size:
fps_buffer = [sum(fps_buffer) / group_size]
logging.info("%.4f fps" % fps_buffer[0])
self.texts.rotate(-1)
except:
logging.critical(format_exc())
self.tracker.reset()
cv.DestroyWindow(self.window_name)
def __init__(self, window_name, image_iterator, cascade, overlay):
cv.NamedWindow(window_name, cv.CV_WINDOW_AUTOSIZE)
self.window_name = window_name
self.image_iterator = image_iterator
self.cascade = cv.Load(cascade)
self.texts = deque(("What am I gonna do?", "Mark an object with the mouse!", "Tracking..."))
self.tracker = ObjectTracker(window_name, overlay)
def main():
frame_preprocessor = FramePreprocessor()
object_detector = ObjectDetector()
object_registry = ObjectRegistry()
object_tracker = ObjectTracker(object_registry)
cap = cv2.VideoCapture('video.avi')
fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (800, 480))
while True:
# Get the frame from video file
ret, frame = cap.read()
if ret == True:
preprocessed_frame = frame_preprocessor.preprocess(frame)
objects_from_bkg_sub = object_detector.find_objects(frame)
object_registry.update(objects_from_bkg_sub)
objects_from_registry = copy.deepcopy(
object_registry.get_objects())
objects_from_tracker = object_tracker.find_objects(frame)
bounding_boxes = frame.copy()
for obj in objects_from_registry: # Blue
display_object(bounding_boxes, obj, (255, 0, 0), 1)
for obj in objects_from_tracker: # Red
display_object(bounding_boxes, obj, (0, 0, 255), 1)
cv2.imshow('Input', frame)
cv2.imshow('Preprocessed Frame', preprocessed_frame)
cv2.imshow('Bounding Boxes', bounding_boxes)
out.write(bounding_boxes)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
else:
break
out.release()
cap.release()
cv2.destroyAllWindows()
