How to draw a rectangle around a region of interes

I'm having trouble with import cv in my python code.

My issue is I need to draw a rectangle around regions of interest in an image. How can this be done in python? I'm doing object detection and would like to draw a rectangle around the objects I believe I've found in the image.

回答1:

please don't try with the old cv module, use cv2:

import cv2

cv2.rectangle(img, (x1, y1), (x2, y2), (255,0,0), 2)


x1,y1 ------
|          |
|          |
|          |
--------x2,y2

[edit] to append the follow-up questions below:

cv2.imwrite("my.png",img)

cv2.imshow("lalala", img)
k = cv2.waitKey(0) # 0==wait forever

回答2:

You can use cv2.rectangle():

cv2.rectangle(img, pt1, pt2, color, thickness, lineType, shift)

Draws a simple, thick, or filled up-right rectangle.

The function rectangle draws a rectangle outline or a filled rectangle
whose two opposite corners are pt1 and pt2.

Parameters
    img   Image.
    pt1   Vertex of the rectangle.
    pt2    Vertex of the rectangle opposite to pt1 .
    color Rectangle color or brightness (grayscale image).
    thickness  Thickness of lines that make up the rectangle. Negative values,
    like CV_FILLED , mean that the function has to draw a filled rectangle.
    lineType  Type of the line. See the line description.
    shift   Number of fractional bits in the point coordinates.

I have a PIL Image object and I want to draw rectangle on this image, but PIL's ImageDraw.rectangle() method does not have the ability to specify line width. I need to convert Image object to opencv2's image format and draw rectangle and convert back to Image object. Here is how I do it:

# im is a PIL Image object
im_arr = np.asarray(im)
# convert rgb array to opencv's bgr format
im_arr_bgr = cv2.cvtColor(im_arr, cv2.COLOR_RGB2BGR)
# pts1 and pts2 are the upper left and bottom right coordinates of the rectangle
cv2.rectangle(im_arr_bgr, pts1, pts2),
              color=(0, 255, 0), thickness=3)
im_arr = cv2.cvtColor(im_arr_bgr, cv2.COLOR_BGR2RGB)
# convert back to Image object
im = Image.fromarray(im_arr)