Example #1
0
def main():
    args = get_args()

    # Creating a kernel for the morphology operations
    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (11, 11))

    # Init the ColorTracker object
    tracker = color_tracker.ColorTracker(max_nb_of_objects=5,
                                         max_nb_of_points=20,
                                         debug=True)

    # Setting a callback which is called at every iteration
    callback = partial(tracking_callback, verbose=args.verbose)
    tracker.set_tracking_callback(tracking_callback=callback)

    # Start tracking with a camera
    with color_tracker.WebCamera(video_src=0) as webcam:
        # Start the actual tracking of the object
        tracker.track(webcam,
                      hsv_lower_value=args.low,
                      hsv_upper_value=args.high,
                      min_contour_area=args.contour_area,
                      kernel=kernel)
Example #2
0
        moveX, moveY = choose_angles(throw_mode, angle)
        trigger = False
    # if trigger and throw_mode == 1:
    #     command = "trig"
    #     moveX, moveY = choose_angles(throw_mode, angle)
    #     trigger = False

    cs.sendto("{0},{1},{2}".format(command, moveX, moveY).encode(),
              ('192.168.1.27', 12345))

    last_finger_center = finger_center_filtered
    last_joint_center = joint_center_filtered


if __name__ == "__main__":
    webcam = color_tracker.WebCamera(video_src=1)
    webcam.start_camera()

    kernel1 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (8, 8))
    kernel2 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))

    tracker = color_tracker.ColorTracker(camera=webcam,
                                         max_nb_of_points=10,
                                         debug=True)

    tracker.set_tracking_callback(tracking_callback=tracking_callback)

    tracker.track(hsv_lower_values=[(37, 75, 44), (0, 164, 192)],
                  hsv_upper_values=[(87, 255, 253), (255, 255, 255)],
                  min_contour_areas=[150, 50],
                  kernels=[kernel1, kernel2],
Example #3
0
    # Visualizing the original frame and the debugger frame
    cv2.imshow("original frame", tracker.frame)
    cv2.imshow("debug frame", tracker.debug_frame)

    # Stop the script when we press ESC
    key = cv2.waitKey(1)
    if key == 27:
        tracker.stop_tracking()

    for obj in tracker.tracked_objects:
        print("Object {0} center {1}".format(obj.id, obj.last_point))


# Creating a kernel for the morphology operations
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (11, 11))

# Init the ColorTracker object
tracker = color_tracker.ColorTracker(max_nb_of_objects=5, max_nb_of_points=20, debug=True)

# Setting a callback which is called at every iteration
tracker.set_tracking_callback(tracking_callback=tracking_callback)

# Start tracking with a camera
with color_tracker.WebCamera(video_src=0) as webcam:
    # Start the actual tracking of the object
    tracker.track(webcam,
                  hsv_lower_value=HSV_LOWER_VALUE,
                  hsv_upper_value=HSV_UPPER_VALUE,
                  min_contour_area=2500,
                  kernel=kernel)
Example #4
0
import cv2
import color_tracker


def tracker_callback(t: color_tracker: ColorTracker):
    cv2.imshow('debug', t.debug_frame)
    cv2.waitKey(1)


tracker = color_tracker.ColorTracker(
    max_nb_of_objects=1, max_nb_of_points=20, debug=True)
tracker.set_tracking_callback(tracker_callback)

with color_tracker.WebCamera() as cam:
    tracker.track(cam, [100, 103, 82], [130, 255, 255], max_skipped_frames=24)