Skip to content

Create 0-warp_transform #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
jesssling wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Create 0-warp_transform #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
69 changes: 69 additions & 0 deletions 0-warp_transform
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,69 @@
# import the necessary packages
from transform import four_point_transform
import numpy as np
import cv2

in_files = [
'images/1.jpg',
'images/2.jpg',
'images/3.jpg',
'images/4.jpg']

out_files = [
'images/1t.jpg',
'images/2t.jpg',
'images/3t.jpg',
'images/4t.jpg']

coords_in = np.float32(
[
[[1334, 1294], [2122, 1532], [1881, 2331], [1069, 2070]],
[[606, 1951], [1349, 1947], [1357, 2704], [592, 2711]],
[[1126, 813], [1975, 617], [2197, 1459], [1348, 1676]],
[[780, 1882], [1705, 1931], [1662, 2868], [710, 2827]]
]
)

# print("0: ", coords_in[0])
# print("0,0: ", coords_in[0,0])
# print("0,0,0: ", coords_in[0,0,0])
fsize = 800

coords_out = np.float32(
[
[[coords_in[0, 0, 0], coords_in[0, 0, 1]], [coords_in[0, 0, 0] + fsize, coords_in[0, 0, 1]],
[coords_in[0, 0, 0] + fsize, coords_in[0, 0, 1] + fsize], [coords_in[0, 0, 0], coords_in[0, 0, 1] + fsize]],
[[coords_in[1, 0, 0], coords_in[1, 0, 1]], [coords_in[1, 0, 0] + fsize, coords_in[1, 0, 1]],
[coords_in[1, 0, 0] + fsize, coords_in[1, 0, 1] + fsize], [coords_in[1, 0, 0], coords_in[1, 0, 1] + fsize]],
[[coords_in[2, 0, 0], coords_in[2, 0, 1]], [coords_in[2, 0, 0] + fsize, coords_in[2, 0, 1]],
[coords_in[2, 0, 0] + fsize, coords_in[2, 0, 1] + fsize], [coords_in[2, 0, 0], coords_in[2, 0, 1] + fsize]],
[[coords_in[3, 0, 0], coords_in[3, 0, 1]], [coords_in[3, 0, 0] + fsize, coords_in[3, 0, 1]],
[coords_in[3, 0, 0] + fsize, coords_in[3, 0, 1] + fsize], [coords_in[3, 0, 0], coords_in[3, 0, 1] + fsize]]
]
)

# load the image and grab the source coordinates (i.e. the list of
# of (x, y) points)
# NOTE: using the 'eval' function is bad form, but for this example
# let's just roll with it -- in future posts I'll show you how to
# automatically determine the coordinates without pre-supplying them

Mwidth = 3000
Mheight = 4000

for index, file in enumerate(in_files):
img = cv2.imread(file)
print('file: ', file)
pts1 = coords_in[index]
pts2 = coords_out[index]

# perform Affine Transformation to up-right and scale the images to standard size
M = cv2.getPerspectiveTransform(pts1, pts2)
warped = cv2.warpPerspective(img, M, (Mwidth, Mheight))

# show the original and warped images
# cv2.imshow("Original", img)
cv2.namedWindow("Warped", cv2.WINDOW_NORMAL)
cv2.imshow("Warped", warped)
cv2.imwrite(out_files[index], warped)
cv2.waitKey(0)