我们从Python开源项目中，提取了以下21个代码示例，用于说明如何使用cv2.getTrackbarPos()。
def skin_calib(self, raw_yrb): mask_skin = cv2.inRange(raw_yrb, self.mask_lower_yrb, self.mask_upper_yrb) cal_skin = cv2.bitwise_and(raw_yrb, raw_yrb, mask=mask_skin) cv2.imshow('YRB_calib', cal_skin) k = cv2.waitKey(5) & 0xFF if k == ord('s'): self.calib_switch = False cv2.destroyWindow('YRB_calib') ymin = cv2.getTrackbarPos('Ymin', 'YRB_calib') ymax = cv2.getTrackbarPos('Ymax', 'YRB_calib') rmin = cv2.getTrackbarPos('CRmin', 'YRB_calib') rmax = cv2.getTrackbarPos('CRmax', 'YRB_calib') bmin = cv2.getTrackbarPos('CBmin', 'YRB_calib') bmax = cv2.getTrackbarPos('CBmax', 'YRB_calib') self.mask_lower_yrb = np.array([ymin, rmin, bmin]) self.mask_upper_yrb = np.array([ymax, rmax, bmax]) # Do skin detection with some filtering
def update(dummy=None): if seed_pt is None: cv2.imshow('floodfill', img) return flooded = img.copy() mask[:] = 0 lo = cv2.getTrackbarPos('lo', 'floodfill') hi = cv2.getTrackbarPos('hi', 'floodfill') flags = connectivity if fixed_range: flags |= cv2.FLOODFILL_FIXED_RANGE cv2.floodFill(flooded, mask, seed_pt, (255, 255, 255), (lo,)*3, (hi,)*3, flags) cv2.circle(flooded, seed_pt, 2, (0, 0, 255), -1) cv2.imshow('floodfill', flooded)
def update(dummy=None): sz = cv2.getTrackbarPos('op/size', 'morphology') iters = cv2.getTrackbarPos('iters', 'morphology') opers = cur_mode.split('/') if len(opers) > 1: sz = sz - 10 op = opers[sz > 0] sz = abs(sz) else: op = opers[0] sz = sz*2+1 str_name = 'MORPH_' + cur_str_mode.upper() oper_name = 'MORPH_' + op.upper() st = cv2.getStructuringElement(getattr(cv2, str_name), (sz, sz)) res = cv2.morphologyEx(img, getattr(cv2, oper_name), st, iterations=iters) draw_str(res, (10, 20), 'mode: ' + cur_mode) draw_str(res, (10, 40), 'operation: ' + oper_name) draw_str(res, (10, 60), 'structure: ' + str_name) draw_str(res, (10, 80), 'ksize: %d iters: %d' % (sz, iters)) cv2.imshow('morphology', res)
def print_hsv(x): if x == 1: H_low = cv2.getTrackbarPos("H_low", "Segmented") S_low = cv2.getTrackbarPos("S_low", "Segmented") V_low = cv2.getTrackbarPos("V_low", "Segmented") H_high = cv2.getTrackbarPos("H_high", "Segmented") S_high = cv2.getTrackbarPos("S_high", "Segmented") V_high = cv2.getTrackbarPos("V_high", "Segmented") low = np.array([H_low, S_low, V_low]) high = np.array([H_high, S_high, V_high]) print "HSV Low: ", low, ", High: ", high save_name = 'seg' + '_lh_' + str(low[0]) + '_ls_' + str(low[1]) + '_lv_' + str(low[2]) \ + '_hh_' + str(high[0]) + '_hs_' + str(high[1]) + '_hv_' + str(high[2]) \ + '_' + img_str mask = cv2.inRange(birdsHSV, low, high) result = cv2.bitwise_and(birdsImg, birdsImg, mask = mask) res_name = '../results/' + save_name print "Saving result as", res_name cv2.imwrite(res_name, result)
def trackbar_update(_=None): global trackbars for k,v in trackbars.iteritems(): trackbars[k]['value'] = cv2.getTrackbarPos(v['label'], v['win_name'])
def value(self): return cv2.getTrackbarPos(self._param_name, self._win_name) # Trackbar?????
def calibrateColor(color, def_range): global kernel name = 'Calibrate '+ color cv2.namedWindow(name) cv2.createTrackbar('Hue', name, 0, 180, nothing) cv2.createTrackbar('Sat', name, 0, 255, nothing) cv2.createTrackbar('Val', name, 0, 255, nothing) while(1): ret , frameinv = cap.read() frame=cv2.flip(frameinv ,1) hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hue = cv2.getTrackbarPos('Hue', name) sat = cv2.getTrackbarPos('Sat', name) val = cv2.getTrackbarPos('Val', name) lower = np.array([hue-20,sat,val]) upper = np.array([hue+20,255,255]) mask = cv2.inRange(hsv, lower, upper) eroded = cv2.erode( mask, kernel, iterations=1) dilated = cv2.dilate( eroded, kernel, iterations=1) cv2.imshow(name, dilated) k = cv2.waitKey(5) & 0xFF if k == ord(' '): cv2.destroyWindow(name) return np.array([[hue-20,sat,val],[hue+20,255,255]]) elif k == ord('d'): cv2.destroyWindow(name) return def_range
def calibrateColor(color, def_range): global kernel name = 'Calibrate '+ color cv2.namedWindow(name) cv2.createTrackbar('Hue', name, def_range[0][0]+20, 180, nothing) cv2.createTrackbar('Sat', name, def_range[0][1] , 255, nothing) cv2.createTrackbar('Val', name, def_range[0][2] , 255, nothing) while(1): ret , frameinv = cap.read() frame=cv2.flip(frameinv ,1) hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hue = cv2.getTrackbarPos('Hue', name) sat = cv2.getTrackbarPos('Sat', name) val = cv2.getTrackbarPos('Val', name) lower = np.array([hue-20,sat,val]) upper = np.array([hue+20,255,255]) mask = cv2.inRange(hsv, lower, upper) eroded = cv2.erode( mask, kernel, iterations=1) dilated = cv2.dilate( eroded, kernel, iterations=1) cv2.imshow(name, dilated) k = cv2.waitKey(5) & 0xFF if k == ord(' '): cv2.destroyWindow(name) return np.array([[hue-20,sat,val],[hue+20,255,255]]) elif k == ord('d'): cv2.destroyWindow(name) return def_range
def calibrateColor(color, def_range): global kernel name = 'Calibrate '+ color cv2.namedWindow(name) cv2.createTrackbar('Hue', name, def_range[0][0]+20, 180, nothing) cv2.createTrackbar('Sat', name, def_range[0][1], 255, nothing) cv2.createTrackbar('Val', name, def_range[0][2], 255, nothing) while(1): ret , frameinv = cap.read() frame=cv2.flip(frameinv ,1) hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) hue = cv2.getTrackbarPos('Hue', name) sat = cv2.getTrackbarPos('Sat', name) val = cv2.getTrackbarPos('Val', name) lower = np.array([hue-20,sat,val]) upper = np.array([hue+20,255,255]) mask = cv2.inRange(hsv, lower, upper) eroded = cv2.erode( mask, kernel, iterations=1) dilated = cv2.dilate( eroded, kernel, iterations=1) cv2.imshow(name, dilated) k = cv2.waitKey(5) & 0xFF if k == ord(' '): cv2.destroyWindow(name) return np.array([[hue-20,sat,val],[hue+20,255,255]])
def get_trackbar_values(range_filter): values = [] for i in ["MIN", "MAX"]: for j in range_filter: v = cv2.getTrackbarPos("%s_%s" % (j, i), "Trackbars") values.append(v) return values
def change(): global ORANGE,orange,PINK,pink TrackbarPos = cv2.getTrackbarPos('Orangemin', WindowName) orange['min'][0]=ORANGE['min'][0]+TrackbarPos TrackbarPos = cv2.getTrackbarPos('Orangemax', WindowName) orange['max'][0]=ORANGE['max'][0]+TrackbarPos TrackbarPos = cv2.getTrackbarPos('Pinkmin', WindowName) pink['min'][0]=PINK['min'][0]+TrackbarPos TrackbarPos = cv2.getTrackbarPos('Pinkmax', WindowName) pink['max'][0]=PINK['max'][0]+TrackbarPos
def get_upper_trackbar( self, window ): hh = cv2.getTrackbarPos('H_Max',window) sh = cv2.getTrackbarPos('S_Max',window) vh = cv2.getTrackbarPos('V_Max',window) return [ hh, sh, vh ] # Gets the value of the lower HSV values from the trackbar # Usage: self.get_lower_trackbar( "window_name" ) # Returns numpy array: np.array( [ h, s, v ] )
def get_lower_trackbar( self, window ): hl = cv2.getTrackbarPos('H_Min',window) sl = cv2.getTrackbarPos('S_Min',window) vl = cv2.getTrackbarPos('V_Min',window) return [ hl, sl, vl ] # Sets upper and lower values to their coresponding trackbar # Usage: self.set_limits_trackbar( { "window_name": [ np.array([h,s,v]), np.array([h,s,v]) ] } ) # set the value to their corresponding trackbar if the key is to be filtered
def __getitem__(self, name): if self.show: return cv2.getTrackbarPos(name, self.windowName) if name in self.values: return self.values[name] return -1
def find_code(self,img ): h, w = img.shape[:2] gray=img thrs1 = cv2.getTrackbarPos('thrs1', 'edge') thrs2 = cv2.getTrackbarPos('thrs2', 'edge') edge = cv2.Canny(gray, thrs1, thrs2, apertureSize=5) vis = cv2.cvtColor(img.copy(), cv2.COLOR_GRAY2BGR) vis /= 2 #vis[edge != 0] = (0, 255, 0) #cv2.imshow('edge', vis) vis2 = np.zeros((h, w), np.uint8) vis2[edge != 0] = 255 _, contours0, hierarchy = cv2.findContours(vis2.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) contours = [cv2.approxPolyDP(cnt, 3, True) for cnt in contours0] selected = [] # **[Next, Previous, First_Child, Parent]** if hierarchy != None: for c, h in zip(contours, hierarchy[0]): if h[0] == -1 and h[1] == -1: kid = h[2] if kid != -1: kidh = hierarchy[0][kid] if kidh[0] == -1 and kidh[1] == -1: ### only checking for nested circles, without brothers selected.append(c) cv2.drawContours(vis, selected, -1, (255, 0, 0), 2, cv2.LINE_AA) for candidate in selected: try: self.try_to_decode(candidate, gray, vis) except Exception as e: print(e) cv2.imshow('contours', vis) ch = cv2.waitKey(5) & 0xFF if ch == 27: exit()
