I running into problems with my openCv IplImage cropping. Assuming both tmp and img are IplImage* . Using the code:
printf(\"Orig dimensions: %dx%d\\n\", im
you can easily crop the image in python by using
roi = oriImage[refPoint[0][1]:refPoint[1][1], refPoint[0][0]:refPoint[1][0]]
In order to get the two points you can call cv2.setMouseCallback("image", mouse_crop)
.
The function is something like this
def mouse_crop(event, x, y, flags, param):
# grab references to the global variables
global x_start, y_start, x_end, y_end, cropping
# if the left mouse button was DOWN, start RECORDING
# (x, y) coordinates and indicate that cropping is being
if event == cv2.EVENT_LBUTTONDOWN:
x_start, y_start, x_end, y_end = x, y, x, y
cropping = True
# Mouse is Moving
elif event == cv2.EVENT_MOUSEMOVE:
if cropping == True:
x_end, y_end = x, y
# if the left mouse button was released
elif event == cv2.EVENT_LBUTTONUP:
# record the ending (x, y) coordinates
x_end, y_end = x, y
cropping = False # cropping is finished
refPoint = [(x_start, y_start), (x_end, y_end)]
if len(refPoint) == 2: #when two points were found
roi = oriImage[refPoint[0][1]:refPoint[1][1], refPoint[0][0]:refPoint[1][0]]
cv2.imshow("Cropped", roi)
cv2.imwrite("crop.jpg",roi)
You can get details from here : Mouse Click and Cropping using Python
For C++ you can do like below:
void mouse_call(int event,int x,int y,int,void*)
{
if(event==EVENT_LBUTTONDOWN)
{
leftDown=true;
cor1.x=x;
cor1.y=y;
cout <<"Corner 1: "<20&&abs(y-cor1.y)>20) //checking whether the region is too small
{
leftup=true;
cor2.x=x;
cor2.y=y;
cout<<"Corner 2: "<
You can get details from here : Mouse Click and Cropping using C++