def __init__(self, *args, **kw):
self.timer = 0
self.t0 = 0
self.t1 = 0
self.startCopy = False
# String
self.folderName = ''
self.folderPath = ''
self.subjectName = ''
self.tempName = ''
self.names = []
# Numbers
self.numberFolder = [5]
self.day = [1]
self.month = [10]
self.year = [20]
self.group = [3]
self.tp = [1]
# Frames
self.frame = np.zeros((Y_SCREEN, X_SCREEN, 3), np.uint8)
cv.namedWindow(WINDOW_NAME) #, cv.WINDOW_NORMAL)
cvui.init(WINDOW_NAME)
def initializeAdjustHyperparametersWindows(WINDOW_NAME): cv2.destroyAllWindows() WINDOW_NAME_CTRL = "Adjust Parameters." cvui.init(WINDOW_NAME) cv2.moveWindow(WINDOW_NAME, 0, 0) cvui.init(WINDOW_NAME_CTRL) cv2.moveWindow(WINDOW_NAME_CTRL, 0, 300)
def main(): frame = np.zeros((200, 500, 3), np.uint8) count = 0; # 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) # Buttons will return true if they were clicked, which makes # handling clicks a breeze. if (cvui.button(frame, 110, 80, "Hello, world!")): # The button was clicked, so let's increment our counter. count += 1 # Sometimes you want to show text that is not that simple, e.g. strings + numbers. # You can use cvui::printf for that. It accepts a variable number of parameter, pretty # much like printf does. # Let's show how many times the button has been clicked. cvui.printf(frame, 250, 90, 0.4, 0xff0000, "Button click count: %d", count); # Update cvui stuff and show everything on the screen cvui.imshow(WINDOW_NAME, frame); # Check if ESC key was pressed if cv2.waitKey(20) == 27: break
def anotate(img, out_path, wnd_height=800):
img_height, img_width = img.shape[:2]
wnd_width = int(wnd_height * img_width / img_height)
frame = np.zeros((wnd_height + 200, wnd_width, 3), np.uint8)
roi_size = [img_height // 10 * 5]
roi_shiftx = [0]
roi_shifty = [0]
x1 = [0]
x2 = [img_width // 2]
y1 = [0]
y2 = [img_height // 2]
WINDOW_NAME = 'Roi Anotater'
cvui.init(WINDOW_NAME)
anchor = cvui.Point()
while (True):
y = cvui.mouse().y
x = cvui.mouse().x
if (x > 0 and x < wnd_width and y > 0 and y < wnd_height):
if cvui.mouse(cvui.DOWN):
anchor.y = y
anchor.x = x
if cvui.mouse(cvui.IS_DOWN):
if x > anchor.x and y > anchor.y:
x1[0] = anchor.x * img_width // wnd_width
x2[0] = x * img_width // wnd_width
y1[0] = anchor.y * img_height // wnd_height
y2[0] = y * img_height // wnd_height
frame[:] = (49, 52, 49)
img_tmp = img.copy()
img_tmp = cv2.rectangle(img_tmp, (x1[0], y1[0]), (x2[0], y2[0]),
(0, 0, 255), 1)
cvui.image(frame, 0, 0, cv2.resize(img_tmp, (wnd_width, wnd_height)))
param(frame, 50, wnd_height + 10, wnd_width - 400, x1, 0, x2[0], 'x1',
1)
param(frame, 50, wnd_height + 50, wnd_width - 400, x2, x1[0],
img_width, 'x2', 1)
param(frame, 50, wnd_height + 90, wnd_width - 400, y1, 0, y2[0], 'y1',
1)
param(frame, 50, wnd_height + 130, wnd_width - 400, y2, y1[0],
img_height, 'y2', 1)
cvui.update()
cv2.imshow(WINDOW_NAME, frame)
if cv2.waitKey(20) == 27:
np.savez(out_path,
x1=x1[0] / img_width,
x2=x2[0] / img_width,
y1=y1[0] / img_height,
y2=y2[0] / img_height)
break
def main():
frame = np.zeros((150, 650, 3), np.uint8)
# Init cvui and tell it to use a value of 20 for cv2.waitKey()
# because we want to enable keyboard shortcut for
# all components, e.g. button with label "&Quit".
# If cvui has a value for waitKey, it will call
# waitKey() automatically for us within cvui.update().
cvui.init(WINDOW_NAME, 20)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
cvui.text(
frame, 40, 40,
'To exit this app click the button below or press Q (shortcut for the button below).'
)
# Exit the application if the quit button was pressed.
# It can be pressed because of a mouse click or because
# the user pressed the "q" key on the keyboard, which is
# marked as a shortcut in the button label ("&Quit").
if cvui.button(frame, 300, 80, "&Quit"):
break
# Since cvui.init() received a param regarding waitKey,
# there is no need to call cv.waitKey() anymore. cvui.update()
# will do it automatically.
cvui.update()
cv2.imshow(WINDOW_NAME, frame)
def main():
frame = np.zeros((300, 600, 3), np.uint8)
out = cv2.imread('lena-face.jpg', cv2.IMREAD_COLOR)
down = cv2.imread('lena-face-red.jpg', cv2.IMREAD_COLOR)
over = cv2.imread('lena-face-gray.jpg', cv2.IMREAD_COLOR)
# 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 an image-based button. You can provide images
# to be used to render the button when the mouse cursor is
# outside, over or down the button area.
if cvui.button(frame, 200, 80, out, over, down):
print('Image button clicked!')
cvui.text(frame, 150, 200, 'This image behaves as a button')
# Render a regular button.
if cvui.button(frame, 360, 80, 'Button'):
print('Regular button clicked!')
# 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():
height = 220
spacing = 10
frame = np.zeros((height * 3, 1300, 3), np.uint8)
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
rows, cols, channels = frame.shape
# Render three groups of components.
group(frame, 0, 0, cols, height - spacing)
group(frame, 0, height, cols, height - spacing)
group(frame, 0, height * 2, cols, height - spacing)
# 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():
frame = np.zeros((200, 500, 3), np.uint8)
count = 0
# 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)
# Buttons will return true if they were clicked, which makes
# handling clicks a breeze.
if (cvui.button(frame, 110, 80, "Hello, world!")):
# The button was clicked, so let's increment our counter.
count += 1
# Sometimes you want to show text that is not that simple, e.g. strings + numbers.
# You can use cvui::printf for that. It accepts a variable number of parameter, pretty
# much like printf does.
# Let's show how many times the button has been clicked.
cvui.printf(frame, 250, 90, 0.4, 0xff0000, "Button click count: %d",
count)
# Update cvui stuff and show everything on the screen
cvui.imshow(WINDOW_NAME, frame)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main():
frame = np.zeros((300, 600, 3), np.uint8)
out = cv2.imread('lena-face.jpg', cv2.IMREAD_COLOR)
down = cv2.imread('lena-face-red.jpg', cv2.IMREAD_COLOR)
over = cv2.imread('lena-face-gray.jpg', cv2.IMREAD_COLOR)
# 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 an image-based button. You can provide images
# to be used to render the button when the mouse cursor is
# outside, over or down the button area.
if cvui.button(frame, 200, 80, out, over, down):
print('Image button clicked!')
cvui.text(frame, 150, 200, 'This image behaves as a button')
# Render a regular button.
if cvui.button(frame, 360, 80, 'Button'):
print('Regular button clicked!')
# 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(): frame = np.zeros((300, 500, 3), np.uint8) c1 = Class1() c2 = Class2() # Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME). cvui.init(WINDOW_NAME) while (True): # Fill the frame with a nice color frame[:] = (49, 52, 49) c1.renderInfo(frame) c2.renderMessage(frame) # 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():
frame = np.zeros((300, 500, 3), np.uint8)
c1 = Class1()
c2 = Class2()
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
c1.renderInfo(frame)
c2.renderMessage(frame)
# 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(): height = 220 spacing = 10 frame = np.zeros((height * 3, 1300, 3), np.uint8) # Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME). cvui.init(WINDOW_NAME) while (True): # Fill the frame with a nice color frame[:] = (49, 52, 49) rows, cols, channels = frame.shape # Render three groups of components. group(frame, 0, 0, cols, height - spacing) group(frame, 0, height, cols, height - spacing) group(frame, 0, height * 2, cols, height - spacing) # 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 calculateBackgroundFreelySwim(self, controller, nbImagesForBackgroundCalculation):
[pathToVideo, videoName, videoExt, configFile, argv] = getMainArguments(self)
configFile["exitAfterBackgroundExtraction"] = 1
configFile["debugExtractBack"] = 1
configFile["debugFindWells"] = 1
if int(nbImagesForBackgroundCalculation):
configFile["nbImagesForBackgroundCalculation"] = int(nbImagesForBackgroundCalculation)
WINDOW_NAME = "Please Wait"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0,0)
try:
mainZZ(pathToVideo, videoName, videoExt, configFile, argv)
except ValueError:
configFile["exitAfterBackgroundExtraction"] = 0
cv2.destroyAllWindows()
configFile["exitAfterBackgroundExtraction"] = 0
configFile["debugExtractBack"] = 0
configFile["debugFindWells"] = 0
controller.show_frame("AdujstParamInsideAlgoFreelySwim")
def __init__(self, auto_mode):
self.pub_send_next_img = rospy.Publisher('/send_next_img',
Int16,
queue_size=1)
self.terminate = 0
self.pcd_list = []
self.fitgeom_list = []
self.vis = None
self.plots = {}
self.cvui_frame = None
self.cvui_dbscan_eps = [DBSCAN_EPS]
self.cvui_dbscan_minpoints = [DBSCAN_MINPOINTS]
self.apply_fit = True
self.show_fit_geometry = True
self.show_goodbad_color = True
if auto_mode:
self.auto_mode = True
self.show_2d = True
self.show_3d = False
else:
self.auto_mode = False
self.show_2d = True
self.show_3d = True
self.create_visualizer()
self.cvui_frame = np.zeros((200, 500, 3), np.uint8)
cvui.init(CVUI_WINDOW_NAME)
def main():
window_name = 'cvui-double-knob-trackbar'
cvui.init(window_name)
trackbar_value1 = [25.0]
trackbar_value2 = [75.0]
while True:
cvuiframe = np.zeros((140, 460, 3), np.uint8)
cvuiframe[:] = (49, 52, 49)
cvui.trackbar2(cvuiframe, 30, 30, 400, trackbar_value1,
trackbar_value2, 0., 100.)
cvui.text(cvuiframe, 50, 100,
'value1 : ' + "{0:.1f}".format(trackbar_value1[0]))
cvui.text(cvuiframe, 160, 100,
'value2 : ' + "{0:.1f}".format(trackbar_value2[0]))
cvui.update()
cv.imshow(window_name, cvuiframe)
key = cv.waitKey(50)
if key == 27: # ESC
break
def main():
frame = np.zeros((150, 650, 3), np.uint8)
# Init cvui and tell it to use a value of 20 for cv2.waitKey()
# because we want to enable keyboard shortcut for
# all components, e.g. button with label "&Quit".
# If cvui has a value for waitKey, it will call
# waitKey() automatically for us within cvui.update().
cvui.init(WINDOW_NAME, 20);
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
cvui.text(frame, 40, 40, 'To exit this app click the button below or press Q (shortcut for the button below).')
# Exit the application if the quit button was pressed.
# It can be pressed because of a mouse click or because
# the user pressed the "q" key on the keyboard, which is
# marked as a shortcut in the button label ("&Quit").
if cvui.button(frame, 300, 80, "&Quit"):
break
# Since cvui.init() received a param regarding waitKey,
# there is no need to call cv.waitKey() anymore. cvui.update()
# will do it automatically.
cvui.update()
cv2.imshow(WINDOW_NAME, frame)
def wellOrganisation(self, controller, circular, rectangular, roi, other,
multipleROIs):
if multipleROIs:
controller.show_frame("NbRegionsOfInterest")
else:
if rectangular:
self.shape = 'rectangular'
self.configFile["wellsAreRectangles"] = 1
controller.show_frame("CircularOrRectangularWells")
else:
if circular and self.organism != 'drosoorrodent': # should remove the self.organism != 'drosoorrodent' at some point
self.shape = 'circular'
controller.show_frame("CircularOrRectangularWells")
else:
self.shape = 'other'
if roi:
cap = cv2.VideoCapture(self.videoToCreateConfigFileFor)
cap.set(1, 10)
ret, frame = cap.read()
frame2 = frame.copy()
[
frame2, getRealValueCoefX, getRealValueCoefY,
horizontal, vertical
] = resizeImageTooLarge(frame2, True, 0.85)
WINDOW_NAME = "Click on the top left of the region of interest"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0, 0)
cvui.imshow(WINDOW_NAME, frame2)
while not (cvui.mouse(cvui.CLICK)):
cursor = cvui.mouse()
if cv2.waitKey(20) == 27:
break
self.configFile["oneWellManuallyChosenTopLeft"] = [
int(getRealValueCoefX * cursor.x),
int(getRealValueCoefY * cursor.y)
]
cv2.destroyAllWindows()
WINDOW_NAME = "Click on the bottom right of the region of interest"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0, 0)
cvui.imshow(WINDOW_NAME, frame2)
while not (cvui.mouse(cvui.CLICK)):
cursor = cvui.mouse()
if cv2.waitKey(20) == 27:
break
self.configFile["oneWellManuallyChosenBottomRight"] = [
int(getRealValueCoefX * cursor.x),
int(getRealValueCoefY * cursor.y)
]
cv2.destroyAllWindows()
self.configFile["nbWells"] = 1
chooseBeginningAndEndOfVideo(self, controller)
else:
self.configFile["noWellDetection"] = 1
self.configFile["nbWells"] = 1
chooseBeginningAndEndOfVideo(self, controller)
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 main(save_dir, laser_off):
make_save_dir(save_dir)
rs_mng = RealSenseManager() # default image size = (1280, 720)
if laser_off:
rs_mng.laser_turn_off()
else:
rs_mng.laser_turn_on()
image_width, image_height = rs_mng.image_size
res_image_width = int(image_width * 2 / 3)
res_image_height = int(image_height * 2 / 3)
window_image_width = int(image_width * 4 / 3)
window_image_height = int(image_height)
cvui.init("capture")
frame = np.zeros((window_image_height, window_image_width, 3), np.uint8)
captured_frame_count = count_images(save_dir)
while True:
key = cv2.waitKey(10)
frame[:] = (49, 52, 49)
status = rs_mng.update()
if status:
# Get Images
ir_image_left = rs_mng.ir_frame_left
ir_image_right = rs_mng.ir_frame_right
color_image = rs_mng.color_frame
depth_image = rs_mng.depth_frame
depth_image_aligned2color = rs_mng.depth_frame_aligned2color
# Visualize Images
frame = draw_frames(frame, color_image, depth_image,
res_image_width, res_image_height)
if cvui.button(frame, 50, res_image_height + 50, 130, 50,
"Save Result Image") or key & 0xFF == ord("s"):
save_images(color_image, depth_image,
depth_image_aligned2color, ir_image_left,
ir_image_right, save_dir)
captured_frame_count += 1
if cvui.button(frame, 200, res_image_height + 50, 130, 50,
"Clear"):
clean_save_dir(save_dir)
captured_frame_count = 0
cvui.printf(frame, 50, res_image_height + 150, 0.8, 0x00FF00,
"Number of Captured Images : %d", captured_frame_count)
if key & 0xFF == ord("q"):
break
cvui.update()
cvui.imshow("capture", frame)
cv2.destroyAllWindows()
del rs_mng
def main():
frame = np.zeros((720, 1280, 3), np.uint8)
cvui.init('Speed of Light Measurement')
curr_experiment = 0
while (True):
if curr_experiment == 0:
curr_experiment = galileo(frame, curr_experiment)
elif curr_experiment == 1:
curr_experiment = fizeau(frame, curr_experiment)
def main():
thresholdValue = [108]
chooseInt = [0]
# Size of trackbars
trackbar_width = 400
#init cvui
cvui.init(WINDOW_NAME, 20)
ui_frame = np.zeros((480, 640, 3), np.uint8)
#camera setting
cap = cv2.VideoCapture(0)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 480)
#main loop
while (True):
ret, frame = cap.read()
#print frame.dtype
#to gray
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
ui_frame[:] = (49, 52, 49)
cvui.beginColumn(ui_frame, 20, 20, -1, -1, 6)
cvui.text('Threshold Adject')
cvui.trackbar(trackbar_width, thresholdValue, 0, 255)
cvui.counter(chooseInt)
cvui.space(5)
cvui.text(strArr[chooseInt[0]])
if cvui.button('&Quit'):
break
cvui.space(5)
cvui.endColumn()
th1, gray = cv2.threshold(gray, thresholdValue[0], 255,
chooseArr[chooseInt[0]])
merged = cv2.merge([gray, gray, gray])
dst = cv2.addWeighted(ui_frame, 1.0, merged, 0.4, 0.0)
cvui.update()
cv2.imshow(WINDOW_NAME, dst)
cap.release()
cv2.destroyAllWindows()
def main():
# We have one mat for each window.
frame1 = np.zeros((1024, 768, 3), np.uint8)
# Create variables used by some components
window1_values = []
window2_values = []
img = cv2.imread('Images/yoga.jpg', cv2.IMREAD_COLOR)
imgRed = cv2.imread('Images/mic.jpg', cv2.IMREAD_COLOR)
imgGray = cv2.imread('Images/gamb.jpg', cv2.IMREAD_COLOR)
img = cv2.resize(img, (200, 200))
imgRed = cv2.resize(imgGray, (200, 200))
imgGray = cv2.resize(imgRed, (200, 200))
padding = 10
# Fill the vector with a few random values
for i in range(0, 20):
window1_values.append(random.uniform(0., 300.0))
window2_values.append(random.uniform(0., 300.0))
# Start two OpenCV windows
cv2.namedWindow(WINDOW1_NAME)
cv2.namedWindow(WINDOW2_NAME)
# Init cvui and inform it to use the first window as the default one.
# cvui.init() will automatically watch the informed window.
cvui.init(WINDOW1_NAME)
# Tell cvui to keep track of mouse events in window2 as well.
cvui.watch(WINDOW2_NAME)
while (True):
# Inform cvui that all subsequent component calls and events are related to window 1.
cvui.context(WINDOW1_NAME)
# Fill the frame with a nice color
frame1[:] = (49, 52, 49)
cvui.beginRow(frame1, 10, 20, -1, -1, 10)
cvui.image(img)
cvui.button(img, imgGray, imgRed)
cvui.endRow()
# Update all components of window1, e.g. mouse clicks, and show it.
cvui.update(WINDOW1_NAME)
cv2.imshow(WINDOW1_NAME, frame1)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main():
frame = np.zeros((300, 800, 3), np.uint8)
value = [2.25]
values = []
# Init cvui and tell it to create a OpenCV window, i.e. cv.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME, 20)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
# In a row, all added elements are
# horizontally placed, one next the other (from left to right)
#
# Within the cvui.beginRow() and cvui.endRow(),
# all elements will be automatically positioned by cvui.
#
# Notice that all component calls within the begin/end block
# DO NOT have (x,y) coordinates.
#
# Let's create a row at position (20,80) with automatic width and height, and a padding of 10
cvui.beginRow(frame, 20, 80, -1, -1, 10);
# trackbar accepts a pointer to a variable that controls their value.
# Here we define a double trackbar between 0. and 5.
if cvui.trackbar(150, value, 0., 5.):
print('Trackbar was modified, value : ', value[0])
values.append(value[0])
if len(values) > 5:
cvui.text('Your edits on a sparkline ->')
cvui.sparkline(values, 240, 60)
if cvui.button('Clear sparkline'):
values = []
else:
cvui.text('<- Move the trackbar')
cvui.endRow();
# 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 button_click(frame, win_name_cvui):
cvui.init(win_name_cvui)
h, w = frame.shape[:2]
start_col = w - 100
start_row = 50
button_width = 50
button_height = 30
setting_col = start_col - 20
setting_row = start_row - 30
setting_width = button_width + 40
setting_height = button_height * 12
frame[int(h / 2 - 1):int(h / 2 + 1)][:] = [0, 255, 0]
for i in range(0, h):
frame[i][int(w / 2 - 1):int(w / 2 + 1)] = [0, 255, 0]
object = "undefined"
while True:
cvui.window(frame, setting_col, setting_row, setting_width,
setting_height, "Setting")
if (cvui.button(frame, start_col, start_row, button_width,
button_height, "Ball")):
object = "B"
print("ball clicked")
if (cvui.button(frame, start_col, start_row + 50, button_width,
button_height, "Rubick")):
object = "R"
print("rubick clicked")
if (cvui.button(frame, start_col, start_row + 100, button_width,
button_height, "Up")):
object = "U"
print("Up clicked")
if (cvui.button(frame, start_col, start_row + 150, button_width,
button_height, "Down")):
object = "D"
print("Down clicked")
if (cvui.button(frame, start_col, start_row + 250, button_width,
button_height, "Send")):
object = "S"
print("Send clicked")
cvui.update()
cv.namedWindow(win_name_cvui, cv.WINDOW_NORMAL)
cv.imshow(win_name_cvui, frame)
cv.waitKey(0)
def main(toml_path, directory_for_save, config_name, rgb_rate,
scale_for_visualization):
rgb_manager = RGBCaptureManager(toml_path)
inference = create_inference(config_name)
width, height = rgb_manager.size
scaling = partial(scaling_int, scale=scale_for_visualization)
width_resized = scaling(width)
height_resized = scaling(height)
frame = np.zeros((height_resized + 300, width_resized * 2, 3), np.uint8)
WINDOW_NAME = "Capture"
cvui.init(WINDOW_NAME)
while True:
frame[:] = (49, 52, 49)
key = cv2.waitKey(10)
status = rgb_manager.update()
if not status:
continue
rgb_image_raw = rgb_manager.read()
rgb_image_masked = get_masked_image_with_segmentation(
rgb_image_raw, rgb_manager, inference, rgb_rate)
number_of_saved_frame = get_number_of_saved_image(directory_for_save)
cvui.printf(frame, 50, height_resized + 50, 0.8, 0x00FF00,
"Number of Captured Images : %d", number_of_saved_frame)
if cvui.button(frame, 50, height_resized + 110, 200, 100,
"capture image") or key & 0xFF == ord("s"):
save_image(rgb_image_raw, directory_for_save)
if cvui.button(frame, 300, height_resized + 110, 200, 100, "erase"):
clean_save_dir(directory_for_save)
rgb_image_resized = cv2.resize(rgb_image_raw,
(width_resized, height_resized))
masked_image_resized = cv2.resize(rgb_image_masked,
(width_resized, height_resized))
frame[0:height_resized, 0:width_resized, :] = rgb_image_resized
frame[0:height_resized,
width_resized:(width_resized * 2), :] = masked_image_resized
if key == 27 or key == ord("q"):
break
cvui.update()
cvui.imshow(WINDOW_NAME, frame)
cv2.destroyAllWindows()
def main():
frame = np.zeros((600, 800, 3), np.uint8)
value = [50]
settings = EnhancedWindow(20, 80, 200, 120, 'Settings')
info = EnhancedWindow(250, 80, 330, 60, 'Info')
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
# Place some instructions on the screen regarding the
# settings window
cvui.text(
frame, 20, 20,
'The Settings and the Info windows below are movable and minimizable.'
)
cvui.text(frame, 20, 40,
'Click and drag any window\'s title bar to move it around.')
# Render a movable and minimizable settings window using
# the EnhancedWindow class.
settings.begin(frame)
if settings.isMinimized() == False:
cvui.text('Adjust something')
cvui.space(10) # add 10px of space between UI components
cvui.trackbar(settings.width() - 20, value, 5, 150)
settings.end()
# Render a movable and minimizable settings window using
# the EnhancedWindow class.
info.begin(frame)
if info.isMinimized() == False:
cvui.text('Moving and minimizable windows are awesome!')
info.end()
# Update all cvui internal stuff, e.g. handle mouse clicks, and show
# everything on the screen.
cvui.imshow(WINDOW_NAME, frame)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def detectBouts(self, controller, wellNumber, firstFrameParamAdjust, adjustOnWholeVideo):
[pathToVideo, videoName, videoExt, configFile, argv] = getMainArguments(self)
[configFile, initialFirstFrameValue, initialLastFrameValue] = prepareConfigFileForParamsAdjustements(configFile, wellNumber, firstFrameParamAdjust, self.videoToCreateConfigFileFor, adjustOnWholeVideo)
configFile["noBoutsDetection"] = 0
configFile["trackTail"] = 0
configFile["adjustDetectMovWithRawVideo"] = 1
configFile["reloadWellPositions"] = 1
if "thresForDetectMovementWithRawVideo" in configFile:
if configFile["thresForDetectMovementWithRawVideo"] == 0:
configFile["thresForDetectMovementWithRawVideo"] = 1
else:
configFile["thresForDetectMovementWithRawVideo"] = 1
try:
WINDOW_NAME = "Please Wait"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0,0)
r = cv2.waitKey(2)
mainZZ(pathToVideo, videoName, videoExt, configFile, argv)
cv2.destroyAllWindows()
except ValueError:
newhyperparameters = pickle.load(open('newhyperparameters', 'rb'))
for index in newhyperparameters:
configFile[index] = newhyperparameters[index]
configFile["onlyTrackThisOneWell"] = -1
configFile["trackTail"] = 1
configFile["adjustDetectMovWithRawVideo"] = 0
configFile["reloadWellPositions"] = 0
if initialLastFrameValue == -1:
if 'firstFrame' in configFile:
del configFile['firstFrame']
if 'lastFrame' in configFile:
del configFile['lastFrame']
else:
configFile["firstFrame"] = initialFirstFrameValue
configFile["lastFrame"] = initialLastFrameValue
configFile["reloadBackground"] = 0
self.configFile = configFile
def findTailTipByUserInput(frame, frameNumber, videoPath, hyperparameters):
# global ix
# ix = -1
# img = np.zeros((512,512,3), np.uint8)
# cv2.namedWindow('Click on tail tip')
# cv2.setMouseCallback('Click on tail tip',getXYCoordinates)
# print("ix:", ix)
# while(ix == -1):
# cv2.imshow('Click on tail tip',frame)
# k = cv2.waitKey(20) & 0xFF
# if k == 27:
# break
# elif k == ord('a'):
# print("yeah:",ix,iy)
# cv2.destroyAllWindows()
# return [ix,iy]
WINDOW_NAME = "Click on tail tip"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0, 0)
font = cv2.FONT_HERSHEY_SIMPLEX
frame = cv2.rectangle(frame, (0, 0), (250, 29), (255, 255, 255), -1)
cv2.putText(frame, 'Click any key if the tail is', (1, 10), font, 0.5,
(0, 150, 0), 1, cv2.LINE_AA)
cv2.putText(frame, 'not straight on this image', (1, 22), font, 0.5,
(0, 150, 0), 1, cv2.LINE_AA)
cvui.imshow(WINDOW_NAME, frame)
plus = 1
while not (cvui.mouse(WINDOW_NAME, cvui.CLICK)):
cursor = cvui.mouse(WINDOW_NAME)
if cv2.waitKey(20) != -1:
[frame, thresh1] = headEmbededFrame(videoPath, frameNumber + plus,
hyperparameters)
frame = cv2.rectangle(frame, (0, 0), (250, 29), (255, 255, 255),
-1)
cv2.putText(frame, 'Click any key if the tail is', (1, 10), font,
0.5, (0, 150, 0), 1, cv2.LINE_AA)
cv2.putText(frame, 'not straight on this image', (1, 22), font,
0.5, (0, 150, 0), 1, cv2.LINE_AA)
cvui.imshow(WINDOW_NAME, frame)
plus = plus + 1
# cv2.destroyAllWindows()
cv2.destroyWindow(WINDOW_NAME)
return [cursor.x, cursor.y]
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 run(self):
WINDOW_NAME = "viewer"
self._start()
cvui.init(WINDOW_NAME)
frame = np.zeros((960, 1280, 3), np.uint8)
while True:
frame[:] = (49, 52, 49)
cvui.text(frame, 10, 10, 'See3CAM', 0.5)
k = cv2.waitKey(10)
if k == 27 or k == ord('q'):
self._stopped = True
break
elif k == ord('s'):
self._save_image()
self._cvui_gui(frame)
cvui.imshow(WINDOW_NAME, frame)
cv2.destroyAllWindows()
def main():
fruits = cv2.imread('fruits.jpg', cv2.IMREAD_COLOR)
frame = np.zeros(fruits.shape, np.uint8)
low_threshold = [50]
high_threshold = [150]
use_canny = [False]
# Create a settings window using the EnhancedWindow class.
settings = EnhancedWindow(10, 50, 270, 180, 'Settings')
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Should we apply Canny edge?
if use_canny[0]:
# Yes, we should apply it.
frame = cv2.cvtColor(fruits, cv2.COLOR_BGR2GRAY)
frame = cv2.Canny(frame, low_threshold[0], high_threshold[0], 3)
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
# No, so just copy the original image to the displaying frame.
frame[:] = fruits[:]
# Render the settings window and its content, if it is not minimized.
settings.begin(frame)
if settings.isMinimized() == False:
cvui.checkbox('Use Canny Edge', use_canny)
cvui.trackbar(settings.width() - 20, low_threshold, 5, 150)
cvui.trackbar(settings.width() - 20, high_threshold, 80, 300)
cvui.space(20); # add 20px of empty space
cvui.text('Drag and minimize this settings window', 0.4, 0xff0000)
settings.end()
# 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', cv2.IMREAD_COLOR)
frame = np.zeros(lena.shape, np.uint8)
low_threshold = [50]
high_threshold = [150]
use_canny = [False]
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Should we apply Canny edge?
if use_canny[0]:
# Yes, we should apply it.
frame = cv2.cvtColor(lena, cv2.COLOR_BGR2GRAY)
frame = cv2.Canny(frame, low_threshold[0], high_threshold[0], 3)
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
# No, so just copy the original image to the displaying frame.
frame[:] = lena[:]
# Render the settings window to house the checkbox
# and the trackbars below.
cvui.window(frame, 10, 50, 180, 180, 'Settings')
# Checkbox to enable/disable the use of Canny edge
cvui.checkbox(frame, 15, 80, 'Use Canny Edge', use_canny)
# Two trackbars to control the low and high threshold values
# for the Canny edge algorithm.
cvui.trackbar(frame, 15, 110, 165, low_threshold, 5, 150)
cvui.trackbar(frame, 15, 180, 165, high_threshold, 80, 300)
# 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', cv2.IMREAD_COLOR)
frame = np.zeros(lena.shape, np.uint8)
low_threshold = [50]
high_threshold = [150]
use_canny = [False]
# Init cvui and tell it to create a OpenCV window, i.e. cv2.namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
while (True):
# Should we apply Canny edge?
if use_canny[0]:
# Yes, we should apply it.
frame = cv2.cvtColor(lena, cv2.COLOR_BGR2GRAY)
frame = cv2.Canny(frame, low_threshold[0], high_threshold[0], 3)
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
# No, so just copy the original image to the displaying frame.
frame[:] = lena[:]
# Render the settings window to house the checkbox
# and the trackbars below.
cvui.window(frame, 10, 50, 180, 180, 'Settings')
# Checkbox to enable/disable the use of Canny edge
cvui.checkbox(frame, 15, 80, 'Use Canny Edge', use_canny)
# Two trackbars to control the low and high threshold values
# for the Canny edge algorithm.
cvui.trackbar(frame, 15, 110, 165, low_threshold, 5, 150)
cvui.trackbar(frame, 15, 180, 165, high_threshold, 80, 300)
# 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():
frame = np.zeros((600, 800, 3), np.uint8)
# Init cvui and tell it to create a OpenCV window, i.e. cv::namedWindow(WINDOW_NAME).
cvui.init(WINDOW_NAME)
# Load some data points from a file
points = load('sparkline.csv')
# Create less populated sets
few_points = []
no_points = []
for i in range(0, 30):
few_points.append(random.uniform(0., 300.0))
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
# Add 3 sparklines that are displaying the same data, but with
# different width/height/colors.
cvui.sparkline(frame, points, 0, 0, 800, 200);
cvui.sparkline(frame, points, 0, 200, 800, 100, 0xff0000);
cvui.sparkline(frame, points, 0, 300, 400, 100, 0x0000ff);
# Add a sparkline with few points
cvui.sparkline(frame, few_points, 10, 400, 790, 80, 0xff00ff);
# Add a sparkline that has no data. In that case, cvui will
# render it with a visual warning.
cvui.sparkline(frame, no_points, 10, 500, 750, 100, 0x0000ff);
# 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():
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 launchStuff():
if globalVariables["mac"] != 1 and globalVariables["lin"] != 1:
WINDOW_NAME = "Tracking in Progress"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0, 0)
f = open("trace.txt", "r")
if f.mode == 'r':
contents = f.read()
f.close()
while not ("ZebraZoom Analysis finished for" in contents):
f = open("trace.txt", "r")
if f.mode == 'r':
contents = f.read()
f.close()
frameCtrl = np.full((400, 500), 100).astype('uint8')
contentList = contents.split("\n")
for idx, txt in enumerate(contentList):
cvui.text(frameCtrl, 4, 15 + idx * 20, txt)
cvui.imshow(WINDOW_NAME, frameCtrl)
cv2.waitKey(20)
cv2.destroyAllWindows()
def findRectangularWellsArea(frame, videoPath, hyperparameters):
frame2 = frame.copy()
root = tk.Tk()
horizontal = root.winfo_screenwidth()
vertical = root.winfo_screenheight()
getRealValueCoefX = 1
getRealValueCoefY = 1
if len(frame2[0]) > horizontal or len(frame2) > vertical:
getRealValueCoefX = len(frame2[0]) / int(horizontal*0.8)
getRealValueCoefY = len(frame2) / int(vertical*0.8)
frame2 = cv2.resize(frame2, (int(horizontal*0.8), int(vertical*0.8)))
root.destroy()
WINDOW_NAME = "Click on the top left of one of the wells"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0,0)
cvui.imshow(WINDOW_NAME, frame2)
while not(cvui.mouse(cvui.CLICK)):
cursor = cvui.mouse()
if cv2.waitKey(20) == 27:
break
topLeft = [cursor.x, cursor.y]
cv2.destroyAllWindows()
WINDOW_NAME = "Click on the bottom right of the same well"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0,0)
cvui.imshow(WINDOW_NAME, frame2)
while not(cvui.mouse(cvui.CLICK)):
cursor = cvui.mouse()
if cv2.waitKey(20) == 27:
break
bottomRight = [cursor.x, cursor.y]
cv2.destroyAllWindows()
rectangularWellsArea = int(abs((topLeft[0] - bottomRight[0]) * getRealValueCoefX) * abs((topLeft[1] - bottomRight[1]) * getRealValueCoefY))
return rectangularWellsArea
def main(): # Init cvui. If you don't tell otherwise, cvui will create the required OpenCV # windows based on the list of names you provided. windows = [WINDOW1_NAME, WINDOW2_NAME, WINDOW3_NAME, WINDOW4_NAME] cvui.init(windows, 4) while (True): # The functions below will update a window and show them using cv2.imshow(). # In that case, you must call the pair cvui.context(NAME)/cvui.update(NAME) # to render components and update the window. window(WINDOW1_NAME) window(WINDOW2_NAME) window(WINDOW3_NAME) # The function below will do the same as the funcitons above, however it will # use cvui.imshow() (cvui's version of cv2.imshow()), which will automatically # call cvui.update() for us. compact(WINDOW4_NAME) # Check if ESC key was pressed if cv2.waitKey(20) == 27: break
def rectangularWells(self, controller, nbwells, nbRowsOfWells, nbWellsPerRows):
[pathToVideo, videoName, videoExt, configFile,
argv] = getMainArguments(self)
configFile["adjustRectangularWellsDetect"] = 1
try:
WINDOW_NAME = "Please Wait"
cvui.init(WINDOW_NAME)
cv2.moveWindow(WINDOW_NAME, 0, 0)
r = cv2.waitKey(2)
mainZZ(pathToVideo, videoName, videoExt, configFile, argv)
cv2.destroyAllWindows()
except ValueError:
newhyperparameters = pickle.load(open('newhyperparameters', 'rb'))
for index in newhyperparameters:
configFile[index] = newhyperparameters[index]
configFile["adjustRectangularWellsDetect"] = 0
self.configFile = configFile
chooseBeginningAndEndOfVideo(self, controller)
def main():
frame = np.zeros((600, 800, 3), np.uint8)
# Create variables used by some components
values = []
checked = [False]
checked2 = [False]
value = [1.0]
value2 = [1.0]
value3 = [1.0]
padding = 10
img = cv2.imread('lena-face.jpg', cv2.IMREAD_COLOR)
imgRed = cv2.imread('lena-face-red.jpg', cv2.IMREAD_COLOR)
imgGray = cv2.imread('lena-face-gray.jpg', cv2.IMREAD_COLOR)
# Fill the vector with a few random values
for i in range(0, 20):
values.append(random.uniform(0., 300.0))
# 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)
# In a row, all added elements are
# horizontally placed, one next the other (from left to right)
#
# Within the cvui.beginRow() and cvui.endRow(),
# all elements will be automatically positioned by cvui.
#
# Notice that all component calls within the begin/end block
# DO NOT have (x,y) coordinates.
#
# Let's create a row at position (10,20) with width 100 and height 50.
cvui.beginRow(frame, 10, 20, 100, 50)
cvui.text('This is ')
cvui.printf('a row')
cvui.checkbox('checkbox', checked)
cvui.window(80, 80, 'window')
cvui.rect(50, 50, 0x00ff00, 0xff0000);
cvui.sparkline(values, 50, 50);
cvui.counter(value)
cvui.button(100, 30, 'Fixed')
cvui.image(img)
cvui.button(img, imgGray, imgRed)
cvui.endRow()
# Here is another row, this time with a padding of 50px among components.
padding = 50;
cvui.beginRow(frame, 10, 150, 100, 50, padding)
cvui.text('This is ')
cvui.printf('another row')
cvui.checkbox('checkbox', checked2)
cvui.window(80, 80, 'window')
cvui.button(100, 30, 'Fixed')
cvui.printf('with 50px padding.')
cvui.endRow()
# Another row mixing several components
cvui.beginRow(frame, 10, 250, 100, 50)
cvui.text('This is ')
cvui.printf('another row with a trackbar ')
#cvui.trackbar(150, &value2, 0., 5.);
cvui.printf(' and a button ')
cvui.button(100, 30, 'button')
cvui.endRow()
# In a column, all added elements are vertically placed,
# one below the other, from top to bottom. Let's create
# a column at (50, 300) with width 100 and height 200.
cvui.beginColumn(frame, 50, 330, 100, 200)
cvui.text('Column 1 (no padding)')
cvui.button('button1')
cvui.button('button2')
cvui.text('End of column 1')
cvui.endColumn()
# Here is another column, using a padding value of 10,
# which will add an space of 10px between each component.
padding = 10
cvui.beginColumn(frame, 300, 330, 100, 200, padding)
cvui.text('Column 2 (padding = 10)')
cvui.button('button1')
cvui.button('button2')
#cvui.trackbar(150, &value3, 0., 5., 1, '%3.2Lf', cvui.TRACKBAR_DISCRETE, 0.25);
cvui.text('End of column 2')
cvui.endColumn()
# You can also add an arbitrary amount of space between
# components by calling cvui.space().
#
# cvui.space() is aware of context, so if it is used
# within a beginColumn()/endColumn() block, the space will
# be vertical. If it is used within a beginRow()/endRow()
# block, space will be horizontal.
cvui.beginColumn(frame, 550, 330, 100, 200)
cvui.text('Column 3 (use space)')
# Add 5 pixels of (vertical) space.
cvui.space(5)
cvui.button('button1 5px below')
# Add 50 pixels of (vertical) space.
cvui.space(50)
cvui.text('Text 50px below')
# Add 20 pixels of (vertical) space.
cvui.space(20)
cvui.button('Button 20px below')
# Add 40 pixels of (vertical) space.
cvui.space(40)
cvui.text('End of column 2 (40px below)')
cvui.endColumn()
# 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():
frame = np.zeros((300, 600, 3), np.uint8)
checked = [False]
checked2 = [True]
count = [0]
countFloat = [0.0]
trackbarValue = [0.0]
# 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)
# Show some pieces of text.
cvui.text(frame, 50, 30, 'Hey there!')
# You can also specify the size of the text and its color
# using hex 0xRRGGBB CSS-like style.
cvui.text(frame, 200, 30, 'Use hex 0xRRGGBB colors easily', 0.4, 0xff0000)
# Sometimes you want to show text that is not that simple, e.g. strings + numbers.
# You can use cvui.printf for that. It accepts a variable number of parameter, pretty
# much like printf does.
cvui.printf(frame, 200, 50, 0.4, 0x00ff00, 'Use printf formatting: %d + %.2f = %f', 2, 3.2, 5.2)
# Buttons will return true if they were clicked, which makes
# handling clicks a breeze.
if cvui.button(frame, 50, 60, 'Button'):
print('Button clicked')
# If you do not specify the button width/height, the size will be
# automatically adjusted to properly house the label.
cvui.button(frame, 200, 70, 'Button with large label')
# You can tell the width and height you want
cvui.button(frame, 410, 70, 15, 15, 'x')
# Window components are useful to create HUDs and similars. At the
# moment, there is no implementation to constraint content within a
# a window.
cvui.window(frame, 50, 120, 120, 100, 'Window')
# The counter component can be used to alter int variables. Use
# the 4th parameter of the function to point it to the variable
# to be changed.
cvui.counter(frame, 200, 120, count)
# Counter can be used with doubles too. You can also specify
# the counter's step (how much it should change
# its value after each button press), as well as the format
# used to print the value.
cvui.counter(frame, 320, 120, countFloat, 0.1, '%.1f')
# The trackbar component can be used to create scales.
# It works with all numerical types (including chars).
cvui.trackbar(frame, 420, 110, 150, trackbarValue, 0., 50.)
# Checkboxes also accept a pointer to a variable that controls
# the state of the checkbox (checked or not). cvui.checkbox() will
# automatically update the value of the boolean after all
# interactions, but you can also change it by yourself. Just
# do "checked = [True]" somewhere and the checkbox will change
# its appearance.
cvui.checkbox(frame, 200, 160, 'Checkbox', checked)
cvui.checkbox(frame, 200, 190, 'A checked checkbox', checked2)
# Display the lib version at the bottom of the screen
cvui.printf(frame, 600 - 80, 300 - 20, 0.4, 0xCECECE, 'cvui v.%s', cvui.VERSION)
# 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():
# We have one mat for each window.
frame1 = np.zeros((150, 600, 3), np.uint8)
frame2 = np.zeros((150, 600, 3), np.uint8)
error_frame = np.zeros((100, 300, 3), np.uint8)
# Flag to control if we should show an error window.
error = False
# Create two OpenCV windows
cv2.namedWindow(GUI_WINDOW1_NAME)
cv2.namedWindow(GUI_WINDOW2_NAME)
# Init cvui and inform it to use the first window as the default one.
# cvui.init() will automatically watch the informed window.
cvui.init(GUI_WINDOW1_NAME)
# Tell cvui to keep track of mouse events in window2 as well.
cvui.watch(GUI_WINDOW2_NAME)
while (True):
# Inform cvui that all subsequent component calls and events are related to window 1.
cvui.context(GUI_WINDOW1_NAME)
# Fill the frame with a nice color
frame1[:] = (49, 52, 49)
cvui.beginColumn(frame1, 50, 20, -1, -1, 10)
cvui.text('[Win1] Use the buttons below to control the error window')
if cvui.button('Close'):
closeWindow(ERROR_WINDOW_NAME)
# If the button is clicked, we open the error window.
# The content and rendering of such error window will be performed
# after we handled all other windows.
if cvui.button('Open'):
error = True
openWindow(ERROR_WINDOW_NAME)
cvui.endColumn()
# Update all components of window1, e.g. mouse clicks, and show it.
cvui.update(GUI_WINDOW1_NAME)
cv2.imshow(GUI_WINDOW1_NAME, frame1)
# From this point on, we are going to render the second window. We need to inform cvui
# that all updates and components from now on are connected to window 2.
# We do that by calling cvui.context().
cvui.context(GUI_WINDOW2_NAME)
frame2[:] = (49, 52, 49)
cvui.beginColumn(frame2, 50, 20, -1, -1, 10)
cvui.text('[Win2] Use the buttons below to control the error window')
if cvui.button('Close'):
closeWindow(ERROR_WINDOW_NAME)
# If the button is clicked, we open the error window.
# The content and rendering of such error window will be performed
# after we handled all other windows.
if cvui.button('Open'):
openWindow(ERROR_WINDOW_NAME)
error = True
cvui.endColumn()
# Update all components of window2, e.g. mouse clicks, and show it.
cvui.update(GUI_WINDOW2_NAME)
cv2.imshow(GUI_WINDOW2_NAME, frame2)
# Handle the content and rendering of the error window,
# if we have un active error and the window is actually open.
if error and isWindowOpen(ERROR_WINDOW_NAME):
# Inform cvui that all subsequent component calls and events are
# related to the error window from now on
cvui.context(ERROR_WINDOW_NAME)
# Fill the error window if a vibrant color
error_frame[:] = (10, 10, 49)
cvui.text(error_frame, 70, 20, 'This is an error message', 0.4, 0xff0000)
if cvui.button(error_frame, 110, 40, 'Close'):
error = False
if error:
# We still have an active error.
# Update all components of the error window, e.g. mouse clicks, and show it.
cvui.update(ERROR_WINDOW_NAME)
cv2.imshow(ERROR_WINDOW_NAME, error_frame)
else:
# No more active error. Let's close the error window.
closeWindow(ERROR_WINDOW_NAME)
# 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():
# We have one mat for each window.
frame1 = np.zeros((600, 800, 3), np.uint8)
frame2 = np.zeros((600, 800, 3), np.uint8)
# Create variables used by some components
window1_values = []
window2_values = []
window1_checked = [False]
window1_checked2 = [False]
window2_checked = [False]
window2_checked2 = [False]
window1_value = [1.0]
window1_value2 = [1.0]
window1_value3 = [1.0]
window2_value = [1.0]
window2_value2 = [1.0]
window2_value3 = [1.0]
img = cv2.imread('lena-face.jpg', cv2.IMREAD_COLOR)
imgRed = cv2.imread('lena-face-red.jpg', cv2.IMREAD_COLOR)
imgGray = cv2.imread('lena-face-gray.jpg', cv2.IMREAD_COLOR)
padding = 10
# Fill the vector with a few random values
for i in range(0, 20):
window1_values.append(random.uniform(0., 300.0))
window2_values.append(random.uniform(0., 300.0))
# Start two OpenCV windows
cv2.namedWindow(WINDOW1_NAME)
cv2.namedWindow(WINDOW2_NAME)
# Init cvui and inform it to use the first window as the default one.
# cvui.init() will automatically watch the informed window.
cvui.init(WINDOW1_NAME)
# Tell cvui to keep track of mouse events in window2 as well.
cvui.watch(WINDOW2_NAME)
while (True):
# Inform cvui that all subsequent component calls and events are related to window 1.
cvui.context(WINDOW1_NAME)
# Fill the frame with a nice color
frame1[:] = (49, 52, 49)
cvui.beginRow(frame1, 10, 20, 100, 50)
cvui.text('This is ')
cvui.printf('a row')
cvui.checkbox('checkbox', window1_checked)
cvui.window(80, 80, 'window')
cvui.rect(50, 50, 0x00ff00, 0xff0000)
cvui.sparkline(window1_values, 50, 50)
cvui.counter(window1_value)
cvui.button(100, 30, 'Fixed')
cvui.image(img)
cvui.button(img, imgGray, imgRed)
cvui.endRow()
padding = 50
cvui.beginRow(frame1, 10, 150, 100, 50, padding)
cvui.text('This is ')
cvui.printf('another row')
cvui.checkbox('checkbox', window1_checked2)
cvui.window(80, 80, 'window')
cvui.button(100, 30, 'Fixed')
cvui.printf('with 50px paddin7hg.')
cvui.endRow()
cvui.beginRow(frame1, 10, 250, 100, 50)
cvui.text('This is ')
cvui.printf('another row with a trackbar ')
cvui.trackbar(150, window1_value2, 0., 5.)
cvui.printf(' and a button ')
cvui.button(100, 30, 'button')
cvui.endRow()
cvui.beginColumn(frame1, 50, 330, 100, 200)
cvui.text('Column 1 (no padding)')
cvui.button('button1')
cvui.button('button2')
cvui.text('End of column 1')
cvui.endColumn()
padding = 10
cvui.beginColumn(frame1, 300, 330, 100, 200, padding)
cvui.text('Column 2 (padding = 10)')
cvui.button('button1')
cvui.button('button2')
cvui.trackbar(150, window1_value3, 0., 5., 1, '%3.2Lf', cvui.TRACKBAR_DISCRETE, 0.25)
cvui.text('End of column 2')
cvui.endColumn()
cvui.beginColumn(frame1, 550, 330, 100, 200)
cvui.text('Column 3 (use space)')
cvui.space(5)
cvui.button('button1 5px below')
cvui.space(50)
cvui.text('Text 50px below')
cvui.space(20)
cvui.button('Button 20px below')
cvui.space(40)
cvui.text('End of column 2 (40px below)')
cvui.endColumn()
# Update all components of window1, e.g. mouse clicks, and show it.
cvui.update(WINDOW1_NAME)
cv2.imshow(WINDOW1_NAME, frame1)
# From this point on, we are going to render the second window. We need to inform cvui
# that all updates and components from now on are connected to window 2.
# We do that by calling cvui.context().
cvui.context(WINDOW2_NAME)
frame2[:] = (49, 52, 49)
cvui.beginRow(frame2, 10, 20, 100, 50)
cvui.text('This is ')
cvui.printf('a row')
cvui.checkbox('checkbox', window2_checked)
cvui.window(80, 80, 'window')
cvui.rect(50, 50, 0x00ff00, 0xff0000)
cvui.sparkline(window2_values, 50, 50)
cvui.counter(window2_value)
cvui.button(100, 30, 'Fixed')
cvui.image(img)
cvui.button(img, imgGray, imgRed)
cvui.endRow()
padding = 50
cvui.beginRow(frame2, 10, 150, 100, 50, padding)
cvui.text('This is ')
cvui.printf('another row')
cvui.checkbox('checkbox', window2_checked2)
cvui.window(80, 80, 'window')
cvui.button(100, 30, 'Fixed')
cvui.printf('with 50px paddin7hg.')
cvui.endRow()
# Another row mixing several components
cvui.beginRow(frame2, 10, 250, 100, 50)
cvui.text('This is ')
cvui.printf('another row with a trackbar ')
cvui.trackbar(150, window2_value2, 0., 5.)
cvui.printf(' and a button ')
cvui.button(100, 30, 'button')
cvui.endRow()
cvui.beginColumn(frame2, 50, 330, 100, 200)
cvui.text('Column 1 (no padding)')
cvui.button('button1')
cvui.button('button2')
cvui.text('End of column 1')
cvui.endColumn()
padding = 10
cvui.beginColumn(frame2, 300, 330, 100, 200, padding)
cvui.text('Column 2 (padding = 10)')
cvui.button('button1')
cvui.button('button2')
cvui.trackbar(150, window2_value3, 0., 5., 1, '%3.2Lf', cvui.TRACKBAR_DISCRETE, 0.25)
cvui.text('End of column 2')
cvui.endColumn()
cvui.beginColumn(frame2, 550, 330, 100, 200)
cvui.text('Column 3 (use space)')
cvui.space(5)
cvui.button('button1 5px below')
cvui.space(50)
cvui.text('Text 50px below')
cvui.space(20)
cvui.button('Button 20px below')
cvui.space(40)
cvui.text('End of column 2 (40px below)')
cvui.endColumn()
# Update all components of window2, e.g. mouse clicks, and show it.
cvui.update(WINDOW2_NAME)
cv2.imshow(WINDOW2_NAME, frame2)
# Check if ESC key was pressed
if cv2.waitKey(20) == 27:
break
def main(): intValue = [30] ucharValue = [30] charValue = [30] floatValue = [12.] doubleValue = [45.] doubleValue2 = [15.] doubleValue3 = [10.3] frame = np.zeros((770, 350, 3), np.uint8) # The width of all trackbars used in this example. width = 300 # The x position of all trackbars used in this example x = 10 # 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) # The trackbar component uses templates to guess the type of its arguments. # You have to be very explicit about the type of the value, the min and # the max params. For instance, if they are double, use 100.0 instead of 100. cvui.text(frame, x, 10, 'double, step 1.0 (default)') cvui.trackbar(frame, x, 40, width, doubleValue, 0., 100.) cvui.text(frame, x, 120, 'float, step 1.0 (default)') cvui.trackbar(frame, x, 150, width, floatValue, 10., 15.) # You can specify segments and custom labels. Segments are visual marks in # the trackbar scale. Internally the value for the trackbar is stored as # long double, so the custom labels must always format long double numbers, no # matter the type of the numbers being used for the trackbar. E.g. %.2Lf cvui.text(frame, x, 230, 'double, 4 segments, custom label %.2Lf') cvui.trackbar(frame, x, 260, width, doubleValue2, 0., 20., 4, '%.2Lf') # Again: you have to be very explicit about the value, the min and the max params. # Below is a uchar trackbar. Observe the uchar cast for the min, the max and # the step parameters. cvui.text(frame, x, 340, 'uchar, custom label %.0Lf') cvui.trackbar(frame, x, 370, width, ucharValue, 0, 255, 0, '%.0Lf') # You can change the behavior of any tracker by using the options parameter. # Options are defined as a bitfield, so you can combine them. # E.g. # TRACKBAR_DISCRETE # value changes are discrete # TRACKBAR_DISCRETE | TRACKBAR_HIDE_LABELS # discrete changes and no labels cvui.text(frame, x, 450, 'double, step 0.1, option TRACKBAR_DISCRETE') cvui.trackbar(frame, x, 480, width, doubleValue3, 10., 10.5, 1, '%.1Lf', cvui.TRACKBAR_DISCRETE, 0.1) # More customizations using options. options = cvui.TRACKBAR_DISCRETE | cvui.TRACKBAR_HIDE_SEGMENT_LABELS cvui.text(frame, x, 560, 'int, 3 segments, DISCRETE | HIDE_SEGMENT_LABELS') cvui.trackbar(frame, x, 590, width, intValue, 10, 50, 3, '%.0Lf', options, 2) # Trackbar using char type. cvui.text(frame, x, 670, 'char, 2 segments, custom label %.0Lf') cvui.trackbar(frame, x, 700, width, charValue, -128, 127, 2, '%.0Lf') # 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():
lena = cv2.imread('lena.jpg', cv2.IMREAD_COLOR)
frame = np.zeros(lena.shape, np.uint8)
doubleBuffer = np.zeros(lena.shape, np.uint8)
trackbarWidth = 130
# Adjustments values for RGB and HSV
rgb = [[1.], [1.], [1]]
hsv = [[1.], [1.], [1]]
# Copy the loaded image to the buffer
doubleBuffer[:] = lena[:]
# Init cvui and tell it to use a value of 20 for cv2.waitKey()
# because we want to enable keyboard shortcut for
# all components, e.g. button with label '&Quit'.
# If cvui has a value for waitKey, it will call
# waitKey() automatically for us within cvui.update().
cvui.init(WINDOW_NAME, 20)
while (True):
frame[:] = doubleBuffer[:]
frameRows,frameCols,frameChannels = frame.shape
# Exit the application if the quit button was pressed.
# It can be pressed because of a mouse click or because
# the user pressed the 'q' key on the keyboard, which is
# marked as a shortcut in the button label ('&Quit').
if cvui.button(frame, frameCols - 100, frameRows - 30, '&Quit'):
break
# RGB HUD
cvui.window(frame, 20, 50, 180, 240, 'RGB adjust')
# Within the cvui.beginColumns() and cvui.endColumn(),
# all elements will be automatically positioned by cvui.
# In a columns, all added elements are vertically placed,
# one under the other (from top to bottom).
#
# Notice that all component calls within the begin/end block
# below DO NOT have (x,y) coordinates.
#
# Let's create a row at position (35,80) with automatic
# width and height, and a padding of 10
cvui.beginColumn(frame, 35, 80, -1, -1, 10)
rgbModified = False
# Trackbar accept a pointer to a variable that controls their value
# They return true upon edition
if cvui.trackbar(trackbarWidth, rgb[0], 0., 2., 2, '%3.02Lf'):
rgbModified = True
if cvui.trackbar(trackbarWidth, rgb[1], 0., 2., 2, '%3.02Lf'):
rgbModified = True
if cvui.trackbar(trackbarWidth, rgb[2], 0., 2., 2, '%3.02Lf'):
rgbModified = True
cvui.space(2)
cvui.printf(0.35, 0xcccccc, ' RGB: %3.02lf,%3.02lf,%3.02lf', rgb[0][0], rgb[1][0], rgb[2][0])
if (rgbModified):
b,g,r = cv2.split(lena)
b = b * rgb[2][0]
g = g * rgb[1][0]
r = r * rgb[0][0]
cv2.merge((b,g,r), doubleBuffer)
cvui.endColumn()
# HSV
lenaRows,lenaCols,lenaChannels = lena.shape
cvui.window(frame, lenaCols - 200, 50, 180, 240, 'HSV adjust')
cvui.beginColumn(frame, lenaCols - 180, 80, -1, -1, 10)
hsvModified = False
if cvui.trackbar(trackbarWidth, hsv[0], 0., 2., 2, '%3.02Lf'):
hsvModified = True
if cvui.trackbar(trackbarWidth, hsv[1], 0., 2., 2, '%3.02Lf'):
hsvModified = True
if cvui.trackbar(trackbarWidth, hsv[2], 0., 2., 2, '%3.02Lf'):
hsvModified = True
cvui.space(2)
cvui.printf(0.35, 0xcccccc, ' HSV: %3.02lf,%3.02lf,%3.02lf', hsv[0][0], hsv[1][0], hsv[2][0])
if hsvModified:
hsvMat = cv2.cvtColor(lena, cv2.COLOR_BGR2HSV)
h,s,v = cv2.split(hsvMat)
h = h * hsv[0][0]
s = s * hsv[1][0]
v = v * hsv[2][0]
cv2.merge((h,s,v), hsvMat)
doubleBuffer = cv2.cvtColor(hsvMat, cv2.COLOR_HSV2BGR)
cvui.endColumn()
# Display the lib version at the bottom of the screen
cvui.printf(frame, frameCols - 300, frameRows - 20, 0.4, 0xCECECE, 'cvui v.%s', cvui.VERSION)
# This function must be called *AFTER* all UI components. It does
# all the behind the scenes magic to handle mouse clicks, etc.
#
# Since cvui.init() received a param regarding waitKey,
# there is no need to call cv2.waitKey() anymore. cvui.update()
# will do it automatically.
cvui.update()
# Show everything on the screen
cv2.imshow(WINDOW_NAME, frame)
def main():
intValue = [30]
ucharValue = [30]
charValue = [30]
floatValue = [12.]
doubleValue1 = [15.]
doubleValue2 = [10.3]
doubleValue3 = [2.25]
frame = np.zeros((650, 450, 3), np.uint8)
# Size of trackbars
width = 400
# Init cvui and tell it to use a value of 20 for cv2.waitKey()
# because we want to enable keyboard shortcut for
# all components, e.g. button with label '&Quit'.
# If cvui has a value for waitKey, it will call
# waitKey() automatically for us within cvui.update().
cvui.init(WINDOW_NAME, 20)
while (True):
# Fill the frame with a nice color
frame[:] = (49, 52, 49)
cvui.beginColumn(frame, 20, 20, -1, -1, 6)
cvui.text('int trackbar, no customization')
cvui.trackbar(width, intValue, 0, 100)
cvui.space(5)
cvui.text('uchar trackbar, no customization')
cvui.trackbar(width, ucharValue, 0, 255)
cvui.space(5)
cvui.text('signed char trackbar, no customization')
cvui.trackbar(width, charValue, -128, 127)
cvui.space(5)
cvui.text('float trackbar, no customization')
cvui.trackbar(width, floatValue, 10., 15.)
cvui.space(5)
cvui.text('float trackbar, 4 segments')
cvui.trackbar(width, doubleValue1, 10., 20., 4)
cvui.space(5)
cvui.text('double trackbar, label %.1Lf, TRACKBAR_DISCRETE')
cvui.trackbar(width, doubleValue2, 10., 10.5, 1, '%.1Lf', cvui.TRACKBAR_DISCRETE, 0.1)
cvui.space(5)
cvui.text('double trackbar, label %.2Lf, 2 segments, TRACKBAR_DISCRETE')
cvui.trackbar(width, doubleValue3, 0., 4., 2, '%.2Lf', cvui.TRACKBAR_DISCRETE, 0.25)
cvui.space(10)
# Exit the application if the quit button was pressed.
# It can be pressed because of a mouse click or because
# the user pressed the 'q' key on the keyboard, which is
# marked as a shortcut in the button label ('&Quit').
if cvui.button('&Quit'):
break
cvui.endColumn()
# Since cvui.init() received a param regarding waitKey,
# there is no need to call cv.waitKey() anymore. cvui.update()
# will do it automatically.
cvui.update()
cv2.imshow(WINDOW_NAME, frame)
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
def main():
frame = np.zeros((600, 800, 3), np.uint8)
values = []
checked = [False]
value = [1.0]
# Fill the vector with a few random values
for i in range(0, 20):
values.append(random.uniform(0., 300.0))
# 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)
# Define a row at position (10, 50) with width 100 and height 150.
cvui.beginRow(frame, 10, 50, 100, 150)
# The components below will be placed one beside the other.
cvui.text('Row starts')
cvui.button('here')
# When a column or row is nested within another, it behaves like
# an ordinary component with the specified size. In this case,
# let's create a column with width 100 and height 50. The
# next component added will behave like it was added after
# a component with width 100 and heigth 150.
cvui.beginColumn(100, 150)
cvui.text('Column 1')
cvui.button('button1')
cvui.button('button2')
cvui.button('button3')
cvui.text('End of column 1')
cvui.endColumn()
# Add two pieces of text
cvui.text('Hi again,')
cvui.text('its me!')
# Start a new column
cvui.beginColumn(100, 50)
cvui.text('Column 2')
cvui.button('button1')
cvui.button('button2')
cvui.button('button3')
cvui.space()
cvui.text('Another text')
cvui.space(40)
cvui.text('End of column 2')
cvui.endColumn()
# Add more text
cvui.text('this is the ')
cvui.text('end of the row!')
cvui.endRow()
# Here is another nested row/column
cvui.beginRow(frame, 50, 300, 100, 150)
# If you don't want to calculate the size of any row/column WITHIN
# a begin*()/end*() block, just use negative width/height when
# calling beginRow() or beginColumn() (or don't provide width/height at all!)
# For instance, the following column will have its width/height
# automatically adjusted according to its content.
cvui.beginColumn()
cvui.text('Column 1')
cvui.button('button with very large label')
cvui.text('End of column 1')
cvui.endColumn()
# Add two pieces of text
cvui.text('Hi again,')
cvui.text('its me!')
# Start a new column
cvui.beginColumn()
cvui.text('Column 2')
cvui.button('btn')
cvui.space()
cvui.text('text')
cvui.button('btn2')
cvui.text('text2')
if cvui.button('&Quit'):
break
cvui.endColumn()
# Add more text
cvui.text('this is the ')
cvui.text('end of the row!')
cvui.endRow()
# 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