I want to train model by using custom vision but when i add images in custom vision. Custom vision convert resize my image into (512,512). If there is any option so that i can set limit like (2000,2000) in custom vision.
Asked
Active
Viewed 297 times
1 Answers
0
If there is any option so that i can set limit like (2000,2000) in custom vision.
Yes, you can use imutils.resize()
to resize the image to required dimensions.
For example:
import cv2
import imutils
image = cv2.imread('test.png')
resized = imutils.resize(image, width=2000)
revert = imutils.resize(resized, width=2000)
cv2.imwrite('testresized.png', resized)
cv2.imwrite('testoriginal.png', image)
cv2.waitKey()
You can refer to Crop the center for the specific input size for the model, Resize Image using Opencv Python and preserving the quality and Resize an image with a max width and height, using openCV

Ecstasy
- 1,866
- 1
- 9
- 17