foreground = cv2.GaussianBlur(foreground, (5, 5), 0)
# It would be better to apply morphological opening to the result to remove the noises
foreground = cv2.morphologyEx(foreground, cv2.MORPH_OPEN, (3, 3))
foreground = cv2.morphologyEx(foreground, cv2.MORPH_CLOSE, (3, 3))
ret, foreground_thresh = cv2.threshold(foreground, self.trackbar.value[0], 255.0, cv2.THRESH_BINARY)
# move_points = cv2.countNonZero(roi_thresh_image) # this is total difference number
blobs = self.contour_blobs(foreground_thresh)
self.blobs.track_blobs(blobs)
self.fps.update()
if __name__ == '__main__':
video = ["airport.mp4", "weco.mp4", "count1.mp4", "overpass.mp4", "cars.mp4", "walk.avi", "run.mp4"]
v0 = f"{CWD}//data//Sample//videos//{video[5]}"
cam = Camera(device=v0).start()
cam_plus = CamPlus(camera=cam)
# model_diff2frame = Diff2frame()
model_background = Background()
cam_plus.register_models(model_background)
# cam_plus.register_models(model_diff2frame, model_background)
# test Model instance
cam_plus.test()
#
# # # text = "{} ({})".format('QR', )
# # cv2.putText(image, f'QR ({str(self.code_data)})',
# # (hull[0][0], hull[0][1] - 10),
# # cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
#
# return image
def clear(self):
# clear detected Blobs
super(BarCode, self).clear()
# clear bar code initial data
self.code_data, self.code_points = None, None
print(f"Model {self.name}: bar code data cleared")
if __name__ == '__main__':
# camera instance, started before assigning to Model
cam = Camera(device=0).start()
cam_plus = CamPlus(camera=cam)
# assigning camera to Model
model = BarCode()
# test Model instance
cam_plus.register_models(model)
# test Model instance
cam_plus.test()
cv2.putText(image, f"{distance:.2f}", foot[i],
cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 1)
if self.left_lane is not None:
draw(self.left_lane, self.left_foot)
if self.right_lane is not None:
draw(self.right_lane, self.right_foot)
# image1 * α + image2 * β + λ
# image1 and image2 must be the same shape.
return image
def clear(self):
super(Lane, self).clear()
# clear lane initial data
self.left_lane, self.right_lane = None, None
self.left_foot, self.right_foot = None, None
print(f"Model {self.name}: Lanes data cleared")
if __name__ == '__main__':
cam = Camera(device=0).start()
cam_plus = CamPlus(camera=cam)
model_lane = Lane()
model_color = Color()
# test Model instance
cam_plus.register_models(model_lane, model_color)
cam_plus.test()