Python cv2.EVENT_RBUTTONDOWN Examples
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code examples of cv2.EVENT_RBUTTONDOWN().
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Example #1
Source File: interact.py From DeepFaceLab with GNU General Public License v3.0 | 7 votes |
def on_capture_mouse (self, wnd_name): self.last_xy = (0,0) def onMouse(event, x, y, flags, param): (inst, wnd_name) = param if event == cv2.EVENT_LBUTTONDOWN: ev = InteractBase.EVENT_LBUTTONDOWN elif event == cv2.EVENT_LBUTTONUP: ev = InteractBase.EVENT_LBUTTONUP elif event == cv2.EVENT_RBUTTONDOWN: ev = InteractBase.EVENT_RBUTTONDOWN elif event == cv2.EVENT_RBUTTONUP: ev = InteractBase.EVENT_RBUTTONUP elif event == cv2.EVENT_MBUTTONDOWN: ev = InteractBase.EVENT_MBUTTONDOWN elif event == cv2.EVENT_MBUTTONUP: ev = InteractBase.EVENT_MBUTTONUP elif event == cv2.EVENT_MOUSEWHEEL: ev = InteractBase.EVENT_MOUSEWHEEL x,y = self.last_xy #fix opencv bug when window size more than screen size else: ev = 0 self.last_xy = (x,y) inst.add_mouse_event (wnd_name, x, y, ev, flags) cv2.setMouseCallback(wnd_name, onMouse, (self,wnd_name) )
Example #2
Source File: ob6.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = model.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = model.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] (max, avg, count, hue_dist) = model.cells[key]["score"] print("max:", max, "avg:", avg, "count:", count, "hue dist:", hue_dist) cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = model.find_key(int(x/args.scale), int(y/args.scale)) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #3
Source File: ob2.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = model.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = model.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = model.find_key(int(x/args.scale), int(y/args.scale)) #if cells[key]["user"] == None: # cells[key]["user"] = "yes" #elif cells[key]["user"] == "yes": # cells[key]["user"] = "no" #else: # cells[key]["user"] = None scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #4
Source File: ob5.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = model.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = model.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = model.find_key(int(x/args.scale), int(y/args.scale)) #if cells[key]["user"] == None: # cells[key]["user"] = "yes" #elif cells[key]["user"] == "yes": # cells[key]["user"] = "no" #else: # cells[key]["user"] = None scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #5
Source File: ob3.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = tmodel.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = tmodel.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, tmodel.cells, cmodel.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = tmodel.find_key(int(x/args.scale), int(y/args.scale)) #if cells[key]["user"] == None: # cells[key]["user"] = "yes" #elif cells[key]["user"] == "yes": # cells[key]["user"] = "no" #else: # cells[key]["user"] = None scale = draw_prediction(scale_orig, tmodel.cells, cmodel.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #6
Source File: ob4.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = model.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = model.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = model.find_key(int(x/args.scale), int(y/args.scale)) #if cells[key]["user"] == None: # cells[key]["user"] = "yes" #elif cells[key]["user"] == "yes": # cells[key]["user"] = "no" #else: # cells[key]["user"] = None scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #7
Source File: ob1.py From ImageAnalysis with MIT License | 6 votes |
def onmouse(event, x, y, flags, param): global selected_cell if event == cv2.EVENT_LBUTTONDOWN: # show region detail key = model.find_key(int(x/args.scale), int(y/args.scale)) selected_cell = key (r1, r2, c1, c2) = model.cells[key]["region"] rgb_region = rgb[r1:r2,c1:c2] cv2.imshow('region', cv2.resize(rgb_region, ( (r2-r1)*3, (c2-c1)*3) )) scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale) elif event == cv2.EVENT_RBUTTONDOWN: key = model.find_key(int(x/args.scale), int(y/args.scale)) #if cells[key]["user"] == None: # cells[key]["user"] = "yes" #elif cells[key]["user"] == "yes": # cells[key]["user"] = "no" #else: # cells[key]["user"] = None scale = draw_prediction(scale_orig, model.cells, selected_cell, show_mode) cv2.imshow(win, scale)
Example #8
Source File: pcrender.py From midlevel-reps with MIT License | 6 votes |
def _onmouse(self, *args): if args[0] == cv2.EVENT_LBUTTONDOWN: self.org_pitch, self.org_yaw, self.org_x, self.org_y, self.org_z =\ self.pitch,self.yaw,self.x,self.y,self.z self.clickstart = (self.mousex, self.mousey) if args[0] == cv2.EVENT_RBUTTONDOWN: self.org_roll = self.roll self.clickstart = (self.mousex, self.mousey) if (args[3] & cv2.EVENT_FLAG_LBUTTON): self.pitch = self.org_pitch + (self.mousex - self.clickstart[0])/10 self.yaw = self.org_yaw + (self.mousey - self.clickstart[1]) if (args[3] & cv2.EVENT_FLAG_RBUTTON): self.roll = self.org_roll + (self.mousex - self.clickstart[0])/50 my=args[1] mx=args[2] self.mousex=mx/float(256) self.mousey=my/float(256 * 2)
Example #9
Source File: colorthresh.py From computer-vision with MIT License | 6 votes |
def onMouse(self, event, x, y, flags, data): if event == cv2.EVENT_LBUTTONDOWN or event == cv2.EVENT_RBUTTONDOWN: if event == cv2.EVENT_LBUTTONDOWN: increment = 1 else: increment = -1 self.colorSpaceIdx = ( (self.colorSpaceIdx + increment) % len(self.COLOR_SPACES)) self.updateButton() # Threshold image on color space change only in image # mode. If video or cam mode, the while loop in start() # handles this. if self.mode == "image": self.thresholdImage()
Example #10
Source File: 鼠标左右键回调函数.py From OpenCV-Python-Tutorial with MIT License | 5 votes |
def click_event(event, x, y, flags, param): if event == cv2.EVENT_LBUTTONDOWN: print(x, y) if event == cv2.EVENT_RBUTTONDOWN: red = img[y, x, 2] blue = img[y, x, 0] green = img[y, x, 1] print(red, green, blue) strRGB = str(red) + "," + str(green) + "," + str(blue) font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(img, strRGB, (x, y), font, 1, (255, 255, 255), 2) cv2.imshow('original', img)
Example #11
Source File: run.py From KCFpy with MIT License | 5 votes |
def draw_boundingbox(event, x, y, flags, param): global selectingObject, initTracking, onTracking, ix, iy, cx,cy, w, h if event == cv2.EVENT_LBUTTONDOWN: selectingObject = True onTracking = False ix, iy = x, y cx, cy = x, y elif event == cv2.EVENT_MOUSEMOVE: cx, cy = x, y elif event == cv2.EVENT_LBUTTONUP: selectingObject = False if(abs(x-ix)>10 and abs(y-iy)>10): w, h = abs(x - ix), abs(y - iy) ix, iy = min(x, ix), min(y, iy) initTracking = True else: onTracking = False elif event == cv2.EVENT_RBUTTONDOWN: onTracking = False if(w>0): ix, iy = x-w/2, y-h/2 initTracking = True
Example #12
Source File: mouse_drawing_circles_and_text.py From Mastering-OpenCV-4-with-Python with MIT License | 5 votes |
def draw_circle(event, x, y, flags, param): """Mouse callback function""" global circles if event == cv2.EVENT_LBUTTONDBLCLK: # Add the circle with coordinates x,y print("event: EVENT_LBUTTONDBLCLK") circles.append((x, y)) if event == cv2.EVENT_RBUTTONDBLCLK: # Delete all circles (clean the screen) print("event: EVENT_RBUTTONDBLCLK") circles[:] = [] elif event == cv2.EVENT_RBUTTONDOWN: # Delete last added circle print("event: EVENT_RBUTTONDOWN") try: circles.pop() except (IndexError): print("no circles to delete") if event == cv2.EVENT_MOUSEMOVE: print("event: EVENT_MOUSEMOVE") if event == cv2.EVENT_LBUTTONUP: print("event: EVENT_LBUTTONUP") if event == cv2.EVENT_LBUTTONDOWN: print("event: EVENT_LBUTTONDOWN") # Structure to hold the created circles:
Example #13
Source File: annotation.py From Walk-Assistant with GNU General Public License v3.0 | 5 votes |
def click(event, x, y, flags, param): global clicks, l_down, r_down if event == cv2.EVENT_LBUTTONDOWN or (event == cv2.EVENT_MOUSEMOVE and l_down): l_down = True x = max(0, min(x, WIDTH-1)) y = max(0, min(y, HEIGHT-1)) r = y // KERNEL c = x // KERNEL grid[r][c] = 1 elif event == cv2.EVENT_LBUTTONUP: l_down = False if event == cv2.EVENT_RBUTTONDOWN or (event == cv2.EVENT_MOUSEMOVE and r_down): r_down = True r = y // KERNEL c = x // KERNEL grid[r][c] = 0 elif event == cv2.EVENT_RBUTTONUP: r_down = False
Example #14
Source File: run.py From KCFnb with MIT License | 5 votes |
def draw_boundingbox(event, x, y, flags, param): global selectingObject, initTracking, onTracking, ix, iy, cx,cy, w, h if event == cv2.EVENT_LBUTTONDOWN: selectingObject = True onTracking = False ix, iy = x, y cx, cy = x, y elif event == cv2.EVENT_MOUSEMOVE: cx, cy = x, y elif event == cv2.EVENT_LBUTTONUP: selectingObject = False if(abs(x-ix)>10 and abs(y-iy)>10): w, h = abs(x - ix), abs(y - iy) ix, iy = min(x, ix), min(y, iy) initTracking = True else: onTracking = False elif event == cv2.EVENT_RBUTTONDOWN: onTracking = False if(w>0): ix, iy = x-w/2, y-h/2 initTracking = True
Example #15
Source File: ogrid_node.py From lqRRT with MIT License | 5 votes |
def do_draw(self, event, x, y, flags, param): draw_vals = {1: 100, 2: 0} if event == cv2.EVENT_LBUTTONUP or event == cv2.EVENT_RBUTTONUP: self.drawing = 0 elif event == cv2.EVENT_LBUTTONDOWN: self.drawing = 1 elif event == cv2.EVENT_RBUTTONDOWN: self.drawing = 2 elif self.drawing != 0: cv2.circle(self.img, (x, y), 5, draw_vals[self.drawing], -1)
Example #16
Source File: vedio_test.py From Siamese-RPN-tensorflow with MIT License | 5 votes |
def draw_boundingbox(self,event, x, y, flags, param): if event == cv2.EVENT_LBUTTONDOWN: self.selectingObject = True self.onTracking = False self.ix, self.iy = x, y self.cx, self.cy = x, y print(self.ix,self.iy) elif event == cv2.EVENT_MOUSEMOVE: self.cx, self.cy = x, y elif event == cv2.EVENT_LBUTTONUP: self.selectingObject = False if(abs(x-self.ix)>10 and abs(y-self.iy)>10): self.w, self.h = abs(x - self.ix), abs(y - self.iy) self.ix, self.iy = min(x, self.ix), min(y, self.iy) self.initTracking = True else: self.onTracking = False elif event == cv2.EVENT_RBUTTONDOWN: self.onTracking = False if(self.w>0): self.ix, self.iy = x-self.w/2, y-self.h/2 self.initTracking = True
Example #17
Source File: main.py From OpenLabeling with Apache License 2.0 | 4 votes |
def mouse_listener(event, x, y, flags, param): # mouse callback function global is_bbox_selected, prev_was_double_click, mouse_x, mouse_y, point_1, point_2 set_class = True if event == cv2.EVENT_MOUSEMOVE: mouse_x = x mouse_y = y elif event == cv2.EVENT_LBUTTONDBLCLK: prev_was_double_click = True #print('Double click') point_1 = (-1, -1) # if clicked inside a bounding box we set that bbox set_selected_bbox(set_class) # By AlexeyGy: delete via right-click elif event == cv2.EVENT_RBUTTONDOWN: set_class = False set_selected_bbox(set_class) if is_bbox_selected: obj_to_edit = img_objects[selected_bbox] edit_bbox(obj_to_edit, 'delete') is_bbox_selected = False elif event == cv2.EVENT_LBUTTONDOWN: if prev_was_double_click: #print('Finish double click') prev_was_double_click = False else: #print('Normal left click') # Check if mouse inside on of resizing anchors of the selected bbox if is_bbox_selected: dragBBox.handler_left_mouse_down(x, y, img_objects[selected_bbox]) if dragBBox.anchor_being_dragged is None: if point_1[0] == -1: if is_bbox_selected: if is_mouse_inside_delete_button(): set_selected_bbox(set_class) obj_to_edit = img_objects[selected_bbox] edit_bbox(obj_to_edit, 'delete') is_bbox_selected = False else: # first click (start drawing a bounding box or delete an item) point_1 = (x, y) else: # minimal size for bounding box to avoid errors threshold = 5 if abs(x - point_1[0]) > threshold or abs(y - point_1[1]) > threshold: # second click point_2 = (x, y) elif event == cv2.EVENT_LBUTTONUP: if dragBBox.anchor_being_dragged is not None: dragBBox.handler_left_mouse_up(x, y)
Example #18
Source File: grabcut.py From OpenCV-Python-Tutorial with MIT License | 4 votes |
def onmouse(event,x,y,flags,param): global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over # Draw Rectangle if event == cv2.EVENT_RBUTTONDOWN: rectangle = True ix,iy = x,y elif event == cv2.EVENT_MOUSEMOVE: if rectangle == True: img = img2.copy() cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y)) rect_or_mask = 0 elif event == cv2.EVENT_RBUTTONUP: rectangle = False rect_over = True cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y)) rect_or_mask = 0 print(" Now press the key 'n' a few times until no further change \n") # draw touchup curves if event == cv2.EVENT_LBUTTONDOWN: if rect_over == False: print("first draw rectangle \n") else: drawing = True cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_MOUSEMOVE: if drawing == True: cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_LBUTTONUP: if drawing == True: drawing = False cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1)
Example #19
Source File: grabcut.py From PyCV-time with MIT License | 4 votes |
def onmouse(event,x,y,flags,param): global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over # Draw Rectangle if event == cv2.EVENT_RBUTTONDOWN: rectangle = True ix,iy = x,y elif event == cv2.EVENT_MOUSEMOVE: if rectangle == True: img = img2.copy() cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (ix,iy,abs(ix-x),abs(iy-y)) rect_or_mask = 0 elif event == cv2.EVENT_RBUTTONUP: rectangle = False rect_over = True cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (ix,iy,abs(ix-x),abs(iy-y)) rect_or_mask = 0 print " Now press the key 'n' a few times until no further change \n" # draw touchup curves if event == cv2.EVENT_LBUTTONDOWN: if rect_over == False: print "first draw rectangle \n" else: drawing = True cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_MOUSEMOVE: if drawing == True: cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_LBUTTONUP: if drawing == True: drawing = False cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) # print documentation
Example #20
Source File: grabcut.py From PyCV-time with MIT License | 4 votes |
def onmouse(event,x,y,flags,param): global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over # Draw Rectangle if event == cv2.EVENT_RBUTTONDOWN: rectangle = True ix,iy = x,y elif event == cv2.EVENT_MOUSEMOVE: if rectangle == True: img = img2.copy() cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y)) rect_or_mask = 0 elif event == cv2.EVENT_RBUTTONUP: rectangle = False rect_over = True cv2.rectangle(img,(ix,iy),(x,y),BLUE,2) rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y)) rect_or_mask = 0 print " Now press the key 'n' a few times until no further change \n" # draw touchup curves if event == cv2.EVENT_LBUTTONDOWN: if rect_over == False: print "first draw rectangle \n" else: drawing = True cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_MOUSEMOVE: if drawing == True: cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) elif event == cv2.EVENT_LBUTTONUP: if drawing == True: drawing = False cv2.circle(img,(x,y),thickness,value['color'],-1) cv2.circle(mask,(x,y),thickness,value['val'],-1) # print documentation