def main(camera_toml_path, enable_distortion_correction, scale_val = 0.65):
camera_config = get_config(camera_toml_path)
camera = Camera(camera_config)
print(camera)
scaling = partial(scaling_int, scale=scale_val)
if camera_config.roi_size != 4:
sys.exit('This script is only supported on "camera_config.roi_size == 4" ')
if camera_config.auto_exposure != "roi":
sys.exit('This script is only supported on "camera_config.auto_exposure == roi" ')
image_width = camera.image_width
image_height = camera.image_height
roi = cvui.Rect(0, 0, 0, 0)
WINDOW_NAME = "Capture"
cvui.init(WINDOW_NAME)
click_pos_x = image_width // 2
click_pos_y = image_height // 2
while True:
key = cv2.waitKey(10)
frame = np.zeros((scaling(image_height), scaling(image_width), 3), np.uint8)
frame[:] = (49, 52, 49)
status = camera.update()
if status:
# WARNING:If distortion correction is enabled, the rectangle on windows doesn't indicate actual RoI area for auto exposure.
see3cam_rgb_image = camera.remap_image if enable_distortion_correction else camera.image
scaled_width = scaling(image_width)
scaled_height = scaling(image_height)
see3cam_rgb_image_resized = cv2.resize(see3cam_rgb_image, (scaled_width, scaled_height))
frame[:scaled_height, :scaled_width, :] = see3cam_rgb_image_resized
window_w = image_width // 2
window_h = image_height // 2
if cvui.mouse(cvui.DOWN):
click_pos_x = int(cvui.mouse().x / scale_val)
click_pos_y = int(cvui.mouse().y / scale_val)
camera.set_roi_properties(click_pos_x, click_pos_y, win_size=4)
roi = cvui.Rect(scaling(click_pos_x - image_width // 4), scaling(click_pos_y - image_height // 4), scaling(window_w), scaling(window_h))
# Ensure ROI is within bounds
roi.x = 0 if roi.x < 0 else roi.x
roi.y = 0 if roi.y < 0 else roi.y
roi.width = roi.width + scaled_width - (roi.x + roi.width) if roi.x + roi.width > scaled_width else roi.width
roi.height = roi.height + scaled_height - (roi.y + roi.height) if roi.y + roi.height > scaled_height else roi.height
cvui.rect(frame, roi.x, roi.y, roi.width, roi.height, 0xFF0000)
if key == 27 or key == ord("q"):
break
cvui.update()
cvui.imshow(WINDOW_NAME, frame)
cv2.destroyAllWindows()
def update_kcf_tracker(frame, kcf_tracker_state):
""" Update the kcf tracker based on new frame and previous state """
anchor, kcf_roi, drawing, new_bb = roi_tool(
frame, kcf_tracker_state.kcf_box_anchor, kcf_tracker_state.kcf_roi)
target_pos_obs = None
roi = None
if drawing:
kcf_tracker_state.kcf_tracker_init = False
if new_bb:
kcf_tracker_state.kcf_tracker_init = True
kcf_tracker_state.kcf_tracker = cv2.TrackerKCF_create()
kcf_tracker_state.kcf_tracker.init(
frame, (kcf_roi.x, kcf_roi.y, kcf_roi.width, kcf_roi.height))
elif kcf_tracker_state.kcf_tracker_init:
track_ok, new_roi = kcf_tracker_state.kcf_tracker.update(frame)
x1 = kcf_roi.x
y1 = kcf_roi.y
w = kcf_roi.width
h = kcf_roi.height
if track_ok:
target_pos_obs = np.array([x1 + w / 2., y1 + h / 2])
else:
target_pos_obs = None
kcf_tracker_state.kcf_roi = cvui.Rect(new_roi[0], new_roi[1],
new_roi[2], new_roi[3])
roi = ((x1, y1), (x1 + w, y1 + h))
return target_pos_obs, roi, kcf_tracker_state
def begin(self, frame): mouseInsideTitleArea = cvui.mouse().inside(cvui.Rect(self.__x, self.__y, self.__width, 20)) self.__height = 20 if self.__minimized else self.__heightNotMinimized if self.__isMoving == False and cvui.mouse(cvui.DOWN) and mouseInsideTitleArea: self.__deltaX = cvui.mouse().x - self.__x self.__deltaY = cvui.mouse().y - self.__y self.__isMoving = True elif self.__isMoving and cvui.mouse(cvui.IS_DOWN): self.__x = cvui.mouse().x - self.__deltaX self.__y = cvui.mouse().y - self.__deltaY else: frameRows,frameCols,frameChannels = frame.shape self.__isMoving = False self.__x = max(0, self.__x) self.__y = max(0, self.__y) self.__x = min(frameCols - self.__width, self.__x) self.__y = min(frameRows - 20, self.__y) cvui.window(frame, self.__x, self.__y, self.__width, self.__height, self.__title) if self.__minimizable and cvui.button(frame, self.__x + self.__width - 20, self.__y + 1, 18, 18, '+' if self.__minimized else '-'): self.__minimized = not self.__minimized cvui.beginRow(frame, self.__x + 10, self.__y + 30, self.__width - 20, self.__height - 20) cvui.beginColumn(self.__width - 10, self.__height - 20)
def main():
frame = np.zeros((300, 600, 3), np.uint8)
# Init cvui and tell it to create a OpenCV window, i.e. cv::namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
# Render a rectangle on the screen.
rectangle = cvui.Rect(50, 50, 100, 100)
cvui.rect(frame, rectangle.x, rectangle.y, rectangle.width,
rectangle.height, 0xff0000)
# Check what is the current status of the mouse cursor
# regarding the previously rendered rectangle.
status = cvui.iarea(rectangle.x, rectangle.y, rectangle.width,
rectangle.height)
# cvui::iarea() will return the current mouse status:
# CLICK: mouse just clicked the interaction are
# DOWN: mouse button was pressed on the interaction area, but not released yet.
# OVER: mouse cursor is over the interaction area
# OUT: mouse cursor is outside the interaction area
if status == cvui.CLICK: print('Rectangle was clicked!')
if status == cvui.DOWN: cvui.printf(frame, 240, 70, "Mouse is: DOWN")
if status == cvui.OVER: cvui.printf(frame, 240, 70, "Mouse is: OVER")
if status == cvui.OUT: cvui.printf(frame, 240, 70, "Mouse is: OUT")
# Show the coordinates of the mouse pointer on the screen
cvui.printf(frame, 240, 50, "Mouse pointer is at (%d,%d)",
cvui.mouse().x,
cvui.mouse().y)
# This function must be called *AFTER* all UI components. It does
# all the behind the scenes magic to handle mouse clicks, etc.
cvui.update()
# Show everything on the screen
cv2.imshow(WINDOW_NAME, frame)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main():
lena = cv2.imread('lena.jpg')
frame = np.zeros(lena.shape, np.uint8)
anchors = [cvui.Point()
for i in range(3)] # one anchor for each mouse button
rois = [cvui.Rect() for i in range(3)] # one ROI for each mouse button
colors = [0xff0000, 0x00ff00, 0x0000ff]
# Init cvui and tell it to create a OpenCV window, i.e. cv.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with Lena's image
frame[:] = lena[:]
# Show the coordinates of the mouse pointer on the screen
cvui.text(
frame, 10, 10,
'Click (any) mouse button then drag the pointer around to select a ROI.'
)
cvui.text(
frame, 10, 25,
'Use different mouse buttons (right, middle and left) to select different ROIs.'
)
# Iterate all mouse buttons (left, middle and right button)
button = cvui.LEFT_BUTTON
while button <= cvui.RIGHT_BUTTON:
# Get the anchor, ROI and color associated with the mouse button
anchor = anchors[button]
roi = rois[button]
color = colors[button]
# The function 'bool cvui.mouse(int button, int query)' allows you to query a particular mouse button for events.
# E.g. cvui.mouse(cvui.RIGHT_BUTTON, cvui.DOWN)
#
# Available queries:
# - cvui.DOWN: mouse button was pressed. cvui.mouse() returns true for single frame only.
# - cvui.UP: mouse button was released. cvui.mouse() returns true for single frame only.
# - cvui.CLICK: mouse button was clicked (went down then up, no matter the amount of frames in between). cvui.mouse() returns true for single frame only.
# - cvui.IS_DOWN: mouse button is currently pressed. cvui.mouse() returns true for as long as the button is down/pressed.
# Did the mouse button go down?
if cvui.mouse(button, cvui.DOWN):
# Position the anchor at the mouse pointer.
anchor.x = cvui.mouse().x
anchor.y = cvui.mouse().y
# Is any mouse button down (pressed)?
if cvui.mouse(button, cvui.IS_DOWN):
# Adjust roi dimensions according to mouse pointer
width = cvui.mouse().x - anchor.x
height = cvui.mouse().y - anchor.y
roi.x = anchor.x + width if width < 0 else anchor.x
roi.y = anchor.y + height if height < 0 else anchor.y
roi.width = abs(width)
roi.height = abs(height)
# Show the roi coordinates and size
cvui.printf(frame, roi.x + 5, roi.y + 5, 0.3, color, '(%d,%d)',
roi.x, roi.y)
cvui.printf(frame,
cvui.mouse().x + 5,
cvui.mouse().y + 5, 0.3, color, 'w:%d, h:%d',
roi.width, roi.height)
# Ensure ROI is within bounds
lenaRows, lenaCols, lenaChannels = lena.shape
roi.x = 0 if roi.x < 0 else roi.x
roi.y = 0 if roi.y < 0 else roi.y
roi.width = roi.width + lenaCols - (
roi.x +
roi.width) if roi.x + roi.width > lenaCols else roi.width
roi.height = roi.height + lenaRows - (
roi.y +
roi.height) if roi.y + roi.height > lenaRows else roi.height
# If the ROI is valid, render it in the frame and show in a window.
if roi.area() > 0:
cvui.rect(frame, roi.x, roi.y, roi.width, roi.height, color)
cvui.printf(frame, roi.x + 5, roi.y - 10, 0.3, color, 'ROI %d',
button)
lenaRoi = lena[roi.y:roi.y + roi.height,
roi.x:roi.x + roi.width]
cv2.imshow('ROI button' + str(button), lenaRoi)
button += 1
# This function must be called *AFTER* all UI components. It does
# all the behind the scenes magic to handle mouse clicks, etc.
cvui.update()
# Show everything on the screen
cv2.imshow(WINDOW_NAME, frame)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main():
lena = cv2.imread('lena.jpg')
frame = np.zeros(lena.shape, np.uint8)
anchor = cvui.Point()
roi = cvui.Rect(0, 0, 0, 0)
working = False
# Init cvui and tell it to create a OpenCV window, i.e. cv.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with Lena's image
frame[:] = lena[:]
# Show the coordinates of the mouse pointer on the screen
cvui.text(
frame, 10, 10,
'Click (any) mouse button and drag the pointer around to select a ROI.'
)
# The function 'bool cvui.mouse(int query)' allows you to query the mouse for events.
# E.g. cvui.mouse(cvui.DOWN)
#
# Available queries:
# - cvui.DOWN: any mouse button was pressed. cvui.mouse() returns true for single frame only.
# - cvui.UP: any mouse button was released. cvui.mouse() returns true for single frame only.
# - cvui.CLICK: any mouse button was clicked (went down then up, no matter the amount of frames in between). cvui.mouse() returns true for single frame only.
# - cvui.IS_DOWN: any mouse button is currently pressed. cvui.mouse() returns true for as long as the button is down/pressed.
# Did any mouse button go down?
if cvui.mouse(cvui.DOWN):
# Position the anchor at the mouse pointer.
anchor.x = cvui.mouse().x
anchor.y = cvui.mouse().y
# Inform we are working, so the ROI window is not updated every frame
working = True
# Is any mouse button down (pressed)?
if cvui.mouse(cvui.IS_DOWN):
# Adjust roi dimensions according to mouse pointer
width = cvui.mouse().x - anchor.x
height = cvui.mouse().y - anchor.y
roi.x = anchor.x + width if width < 0 else anchor.x
roi.y = anchor.y + height if height < 0 else anchor.y
roi.width = abs(width)
roi.height = abs(height)
# Show the roi coordinates and size
cvui.printf(frame, roi.x + 5, roi.y + 5, 0.3, 0xff0000, '(%d,%d)',
roi.x, roi.y)
cvui.printf(frame,
cvui.mouse().x + 5,
cvui.mouse().y + 5, 0.3, 0xff0000, 'w:%d, h:%d',
roi.width, roi.height)
# Was the mouse clicked (any button went down then up)?
if cvui.mouse(cvui.UP):
# We are done working with the ROI.
working = False
# Ensure ROI is within bounds
lenaRows, lenaCols, lenaChannels = lena.shape
roi.x = 0 if roi.x < 0 else roi.x
roi.y = 0 if roi.y < 0 else roi.y
roi.width = roi.width + lena.cols - (
roi.x + roi.width) if roi.x + roi.width > lenaCols else roi.width
roi.height = roi.height + lena.rows - (
roi.y +
roi.height) if roi.y + roi.height > lenaRows else roi.height
# Render the roi
cvui.rect(frame, roi.x, roi.y, roi.width, roi.height, 0xff0000)
# This function must be called *AFTER* all UI components. It does
# all the behind the scenes magic to handle mouse clicks, etc.
cvui.update()
# Show everything on the screen
cv2.imshow(WINDOW_NAME, frame)
# If the ROI is valid, show it.
if roi.area() > 0 and working == False:
lenaRoi = lena[roi.y:roi.y + roi.height, roi.x:roi.x + roi.width]
cv2.imshow(ROI_WINDOW, lenaRoi)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main():
global keep_running
# This is for saving video *with* detection boxes on it
# To save raw video, use the CameraSaver.py script
save_video = True
if save_video:
sz = (p.IMG_WIDTH_SPOTTER, p.IMG_HEIGHT_SPOTTER)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
vout = cv2.VideoWriter()
vout.open('track_output.mp4', fourcc, p.FPS_SPOTTER, sz, False)
signal.signal(signal.SIGINT, sigint_handler)
control_panes = ControlPanes()
control_panes.stage_control_pane = EnhancedWindow(0, 0, 300, 500,
'Stage Control')
control_panes.focus_control_pane = EnhancedWindow(0, 20, 300, 500,
'Focus Control')
control_panes.tracker_select_pane = EnhancedWindow(0, 40, 300, 500,
'Tracker Select')
control_panes.canny_settings_pane = EnhancedWindow(0, 60, 300, 500,
'Canny Tuning')
control_panes.threshold_setting_pane = EnhancedWindow(
0, 80, 300, 500, 'Threshold Tuning')
cvui.init(p.CTRL_WINDOW_NAME)
cvui.init(p.VIDEO_WINDOW_NAME)
context = zmq.Context()
(video_socket, focus_sub, stage_sub, focus_state_sub, macro_sharpness_sub,
track_socket, roi_socket, af_pub) = setup_zmq(context)
stage_zero_offset = np.load('tank_corners_offset.npy')
world_points = np.load('tank_corners.npy')
intrinsic = np.load('intrinsic_calibration/ll_65/intrinsic.npy')
stage_x = None
stage_y = None
stage_z = None
z_moving = True
current_ll_focus = None
object_distance_ll = 0
target_pos_obs = None
target_pos = np.array([1, 1])
target_pos_slow = target_pos.copy()
feature_delta = np.array([0, 0])
target_track_init = False
STAGE_MODE = 'PAUSED'
FOCUS_MODE = 'MANUAL'
tracker_type = 'KCF' # options are KCF or CANNY
# These three structs store the state information necessary for the trackers
canny_tracker_state = CannyTracker()
canny_tracker_state.canny_low = [50]
canny_tracker_state.canny_high = [150]
kcf_tracker_state = KCFTracker()
kcf_tracker_state.kcf_box_anchor = cvui.Point()
kcf_tracker_state.kcf_roi = cvui.Rect(0, 0, 0, 0)
kcf_tracker_state.kcf_tracker_init = False
threshold_tracker_state = ThresholdTracker()
threshold_tracker_state.threshold = [30]
threshold_tracker_state.roi = cvui.Rect(0, 0, 0, 0)
threshold_tracker_state.box_anchor = cvui.Point
threshold_tracker_state.show_binary = [False]
sharpness_focus_state = SharpnessFocusState()
sharpness_focus_state.mode = 'COARSE'
macro_sharpness = 0
while keep_running:
ctrl_frame = np.zeros((700, 300, 3), np.uint8)
# Receive stage position updates
try:
stage_pos = stage_sub.recv_string()
(stage_x, stage_y,
stage_z_new) = [float(x) for x in stage_pos.split(' ')]
if stage_z_new == stage_z:
z_moving = False
else:
z_moving = True
stage_z = stage_z_new
except zmq.Again:
# the stage publisher only publishes at ~10hz, so not having an update is common
pass
# Receive macro sharpness
try:
macro_sharpness_last = macro_sharpness
macro_sharpness = float(macro_sharpness_sub.recv_string())
except zmq.Again:
# no sharpness value, which is unexpected
print('No Macro Image Sharpness!')
# receive next frame
try:
frame = recv_img(video_socket)
except zmq.Again:
print('Timed Out!')
time.sleep(1)
continue
cvui.context(p.VIDEO_WINDOW_NAME)
if cvui.mouse(cvui.IS_DOWN):
(target_pos, feature_delta) = reset_target_selection()
target_pos_slow = target_pos.copy()
target_track_init = True
feature_delta += get_feature_2delta()
if stage_x is not None:
stage_pos = np.array([stage_x, stage_y, -stage_z], ndmin=2).T
frame = tank_corners_clip(frame, stage_pos, stage_zero_offset,
world_points, intrinsic)
# This is where the tracking happens. tracker_type is controlled by a button on the interface
# Adding a new tracker is as simple as adding another case to this if/else and adding a button in
# the UI to switch into the new tracking mode
if tracker_type == 'CANNY':
canny_tracker_state.target_pos = target_pos
(target_pos_obs, roi, canny_tracker_state) = update_canny_tracker(
frame, canny_tracker_state)
elif tracker_type == 'KCF':
cvui.context(p.VIDEO_WINDOW_NAME)
(target_pos_obs, roi,
kcf_tracker_state) = update_kcf_tracker(frame, kcf_tracker_state)
elif tracker_type == 'THRESHOLD':
cvui.context(p.VIDEO_WINDOW_NAME)
threshold_tracker_state.target_pos = target_pos
(target_pos_obs, roi,
threshold_tracker_state) = update_threshold_tracker(
frame, threshold_tracker_state)
else:
print('Invalid tracker mode: %s' % tracker_type)
roi = None
keep_running = False
# This roi_msg takes an roi that may have been identified around the animal and sends it over zmq
# This enables any cameras trying to autofocus to know which roi to keep in focus
# if no autofocusing is happening, then these messages don't do anything
if roi is not None:
roi_msg = m.SetFocusROI(roi[0], roi[1])
else:
roi_msg = m.SetFocusROI(None, None)
roi_socket.send_pyobj(
roi_msg
) # tell the LL camera (or anything else I guess) which ROI to focus
(target_track_ok, target_pos,
target_pos_slow) = filter_target_position(target_pos, target_pos_slow,
target_pos_obs)
# This is probably where we want to use the other camera to estimate depth
# Now we have a giant state machine. We need to structure the code this way, because we want 2D tracking and
# user interaction to update even when we are waiting on some slower action to occur related to object depth
# and focusing. The state machine provides a mechanism to handle these slower processes while not impeding the
# rest of the tracking process.
# STAGE_MODE = {MANUAL | AUTO | PAUSED}
# -- In MANUAL mode, dx,dy,dz all set by keyboard input.
# -- In AUTO mode, dx and dy are set by tracker. dz is set by autofocus if FOCUS_MODE is set to AUTO
# -- In PAUSED mode, dx = dy = dz = 0. The tracker will keep tracking, but the stage won't move
#
# FOCUS_MODE = {MANUAL | SHARPNESS | DEPTH}
# -- In MANUAL mode, dz is set by keyboard input
# -- In SHARPNESS mode, dz is set by trying to maximize sharpness, although the final position can be tweaked
# by user input. SHARPNESS mode does nothing if STAGE_MODE is MANUAL
# -- In DEPTH mode, dz is set by a target depth measurement that is estimated from a second camera
# (stereo or perpendicular)
# Determine dx and dy
if STAGE_MODE == 'PAUSED': # -> Stage Control
track_socket.send_string('0 0 0')
dx = 0
dy = 0
dz = 0
elif STAGE_MODE == 'MANUAL': # TODO: Probably tune this better
(dx, dy) = get_feature_2delta()
dx = 10 * dx
dy = 10 * dy
print('FULL_MANUAL %f, %f' % (dx, dy))
dz = manual_focus_update()
elif STAGE_MODE == 'AUTO':
# The tracker makes a determination in pixel space, then we may decide to filter it. We then determine the
# dx and dy based on the distance between the feature of interest and the macro lens center
# how much do we need to move in pixel-space?
# Note dx and dy are 0 if there are no target tracks
if stage_z is None:
print('Waiting on stage node')
dx = 0
dy = 0
dz = 0
else:
if target_pos_obs is not None:
if target_track_ok:
(dx, dy) = calculate_movement_offsets(
frame, target_pos, target_pos_slow, feature_delta)
else:
dx = 0
dy = 0
else:
dx = 0
dy = 0
target_track_ok = False
# When STAGE_MODE == 'AUTO', we need to determine how to handle the focusing
if FOCUS_MODE == 'MANUAL':
dz = manual_focus_update()
elif FOCUS_MODE == 'SHARPNESS':
sharpness_focus_state.stage_z = stage_z
sharpness_focus_state.macro_sharpness = macro_sharpness
sharpness_focus_state.z_moving = z_moving
dz, sharpness_focus_state = sharpness_focus(
sharpness_focus_state, af_pub, focus_state_sub,
video_socket, focus_sub)
elif FOCUS_MODE == 'DEPTH':
# this is the mode when we have a second camera to estimate depth
dz = 0
else:
# invalid focus mode
print('Invalid focus mode %s' % FOCUS_MODE)
sys.exit(1)
else:
print('Unknown stage mode: %s' % STAGE_MODE)
dx = 0
dy = 0
dz = 0
print(dx, dy, dz)
track_socket.send_string(
'%f %f %f' %
(dx, dy, dz)) # 'wasteful', but easier debugging for now
frame = cv2.resize(
frame, (p.IMG_DISP_WIDTH_SPOTTER, p.IMG_DISP_HEIGHT_SPOTTER))
# draw dots on frame centers
cv2.circle(frame, (int(
p.IMG_DISP_WIDTH_SPOTTER / 2), int(p.IMG_DISP_HEIGHT_SPOTTER / 2)),
5, (0, 0, 255), -1) # center of frame
cv2.circle(frame, (p.MACRO_LL_CENTER[0], p.MACRO_LL_CENTER[1]), 5,
(255, 0, 255), -1) # center of macro frame frame
cvui.update(p.VIDEO_WINDOW_NAME)
cv2.imshow(p.VIDEO_WINDOW_NAME, frame)
if save_video:
vout.write(frame)
cvui.context(p.CTRL_WINDOW_NAME)
STAGE_MODE, FOCUS_MODE, tracker_type, macro_resweep, ll_resweep = draw_settings(
ctrl_frame, control_panes, canny_tracker_state,
threshold_tracker_state, STAGE_MODE, FOCUS_MODE, tracker_type)
if macro_resweep:
p.BYPASS_LL_ESTIMATE = True
sharpness_focus_state.mode = 'FINE_UNINITIALIZED'
if ll_resweep:
if stage_z is not None:
print('Liquid Lens Refocus!')
dist_to_tank = (300 - stage_z) + p.STAGE_TANK_OFFSET
ll_max = 2953.5 * dist_to_tank**-0.729
ll_min = 2953.5 * (dist_to_tank + p.TANK_DEPTH_MM)**-0.729
print('llmin, llmax: (%f, %f)' % (ll_min, ll_max))
af_pub.send_pyobj(m.AutofocusMessage(ll_min, ll_max, 1))
else:
print('Cannot refocus liquid lens until stage node is running')
cvui.update(p.CTRL_WINDOW_NAME)
cv2.imshow(p.CTRL_WINDOW_NAME, ctrl_frame)
cv2.waitKey(1)
if save_video:
vout.release()
def main():
frame = np.zeros((300, 600, 3), np.uint8)
# Init cvui and tell it to create a OpenCV window, i.e. cv::namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
# Rectangle to be rendered according to mouse interactions.
rectangle = cvui.Rect(0, 0, 0, 0)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
# Show the coordinates of the mouse pointer on the screen
cvui.text(
frame, 10, 30,
'Click (any) mouse button and drag the pointer around to select an area.'
)
cvui.printf(frame, 10, 50, 'Mouse pointer is at (%d,%d)',
cvui.mouse().x,
cvui.mouse().y)
# The function "bool cvui.mouse(int query)" allows you to query the mouse for events.
# E.g. cvui.mouse(cvui.DOWN)
#
# Available queries:
# - cvui.DOWN: any mouse button was pressed. cvui.mouse() returns true for a single frame only.
# - cvui.UP: any mouse button was released. cvui.mouse() returns true for a single frame only.
# - cvui.CLICK: any mouse button was clicked (went down then up, no matter the amount of frames in between). cvui.mouse() returns true for a single frame only.
# - cvui.IS_DOWN: any mouse button is currently pressed. cvui.mouse() returns true for as long as the button is down/pressed.
# Did any mouse button go down?
if cvui.mouse(cvui.DOWN):
# Position the rectangle at the mouse pointer.
rectangle.x = cvui.mouse().x
rectangle.y = cvui.mouse().y
# Is any mouse button down (pressed)?
if cvui.mouse(cvui.IS_DOWN):
# Adjust rectangle dimensions according to mouse pointer
rectangle.width = cvui.mouse().x - rectangle.x
rectangle.height = cvui.mouse().y - rectangle.y
# Show the rectangle coordinates and size
cvui.printf(frame, rectangle.x + 5, rectangle.y + 5, 0.3, 0xff0000,
'(%d,%d)', rectangle.x, rectangle.y)
cvui.printf(frame,
cvui.mouse().x + 5,
cvui.mouse().y + 5, 0.3, 0xff0000, 'w:%d, h:%d',
rectangle.width, rectangle.height)
# Did any mouse button go up?
if cvui.mouse(cvui.UP):
# Hide the rectangle
rectangle.x = 0
rectangle.y = 0
rectangle.width = 0
rectangle.height = 0
# Was the mouse clicked (any button went down then up)?
if cvui.mouse(cvui.CLICK):
cvui.text(frame, 10, 70, 'Mouse was clicked!')
# Render the rectangle
cvui.rect(frame, rectangle.x, rectangle.y, rectangle.width,
rectangle.height, 0xff0000)
# This function must be called *AFTER* all UI components. It does
# all the behind the scenes magic to handle mouse clicks, etc, then
# shows the frame in a window like cv2.imshow() does.
cvui.imshow(WINDOW_NAME, frame)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break