Insert The Picture Into The Frame

I have a beautiful frame, and the image that needs to be inserted into this frame. This frame This image Python code frame = Image.open('pathToFirstImage') image = Image.open('pa

Solution 1:

I'm skeptical that this task can be achieved by only using PIL/Pillow, at least if you want some automatic finding of the red frame, etc.

So, if using OpenCV is an option, I would suggest the following solution using some color thresholding and cv2.findContours. This approach should be also transferable to skimage for example.

import cv2
import numpy as np
from skimage import io      # Only needed for web grabbing images; use cv2.imread(...) for local images# Read images
frame = cv2.cvtColor(io.imread('https://i.stack.imgur.com/gVf0a.png'), cv2.COLOR_RGB2BGR)
image = cv2.cvtColor(io.imread('https://i.stack.imgur.com/Vw5Rc.jpg'), cv2.COLOR_RGB2BGR)

# Color threshold red frame; single color here, more sophisticated solution would be using cv2.inRange
mask = 255 * np.uint8(np.all(frame == [36, 28, 237], axis=2))

# Find inner contour of frame; get coordinates
contours, _ = cv2.findContours(mask, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
cnt = min(contours, key=cv2.contourArea)
(x, y, w, h) = cv2.boundingRect(cnt)

# Copy appropriately resized image to frame
frame[y:y+h, x:x+w] = cv2.resize(image, (w, h))

cv2.imshow('frame', frame)
cv2.waitKey(0)
cv2.destroyAllWindows()

As stated in the comment, color thresholding in this example is done by simply checking for the specific BGR value of the frame. A more sophisticated solution would be converting the frame to the HSV/HSL color space, and then using cv2.inRange. For an introduction on that, please see one of my earlier answers.

The output of the above script looks like this:

Hope that helps!