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)
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],
# 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)
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)