def _showloop(self):
while cv2.waitKey(10) not in [Keycode.ESCAPE, Keycode.Q, Keycode.q]:
image = self.capture.read()
image = image.transpose(Image.FLIP_LEFT_RIGHT)
image = Util.resize_image(image, self.size)
array = np.asarray(image)
array = Util.mount_roi(array,
self.roi,
color=(74, 20, 140),
thickness=2)
crop = _crop_array(array, self.roi)
# process image for any gestures
if self.verbose:
segments, event = grdetect(crop, verbose=self.verbose)
self.image = Image.fromarray(segments)
self.event = event
else:
event = grdetect(crop, verbose=self.verbose)
#self.image = Image.fromarray(segments)
self.event = event
#self.image = Image.fromarray(segments)
#self.event = event
cv2.imshow(PyGR.TITLE, array)
cv2.destroyWindow(PyGR.TITLE)
def grdetect(array, verbose=False):
event = Event(Event.NONE)
copy = array.copy()
array = _remove_background(array) # 移除背景, add by wnavy
'''
gray = Util.to_grayscale(array) # 转化为灰度图像
blur = cv2.GaussianBlur(gray, ksize = _DEFAULT_GAUSSIAN_BLUR_KERNEL, sigmaX = 0) # 高斯滤波
_, thresh = cv2.threshold(blur, 0, 255, _DEFAULT_THRESHOLD_TYPE) # 图像二值化
'''
thresh = _bodyskin_detetc(array)
if verbose:
cv2.imshow('pygr.HoverPad.roi.threshold', thresh)
contours = _get_contours(thresh.copy())
largecont = max(contours, key=lambda contour: cv2.contourArea(contour))
if verbose:
roi = cv2.boundingRect(largecont)
copy = Util.mount_roi(copy, roi, color=_COLOR_RED)
convexHull = cv2.convexHull(largecont)
if verbose:
_draw_contours(copy, contours, -1, _COLOR_RED, 0)
_draw_contours(copy, [largecont], 0, _COLOR_GREEN, 0)
_draw_contours(copy, [convexHull], 0, _COLOR_GREEN, 0)
hull = cv2.convexHull(largecont, returnPoints=False)
defects = cv2.convexityDefects(largecont, hull)
if defects is not None:
copy, ndefects = _get_defects_count(copy,
largecont,
defects,
verbose=verbose)
if ndefects == 0:
copy, tip = _get_tip_position(copy, largecont, verbose=verbose)
event.setTip(tip)
# TODO: check for a single finger.
# event.setType(Event.ROCK)
event.setType(Event.ZERO)
elif ndefects == 1:
# TODO: check for an Event.LIZARD
# event.setType(Event.SCISSOR)
event.setType(Event.TWO)
elif ndefects == 2:
# event.setType(Event.SPOCK)
event.setType(Event.THREE)
elif ndefects == 3:
event.setType(Event.FOUR)
elif ndefects == 4:
# event.setType(Event.PAPER)
event.setType(Event.FIVE)
if verbose:
cv2.imshow('pygr.HoverPad.roi', copy)
if verbose:
return copy, event
else:
return event