Skip to content
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

Jump to bottom

Remove dependency on scipy. #277

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Remove dependency on scipy. #277

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
558e708
Remove dependency on scipy.
farqis Nov 7, 2022
b7981b0
Remove imports and references to scipy
farqis Nov 7, 2022
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
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ For more information, along with a detailed code review check out the following
- [http://www.pyimagesearch.com/2015/08/10/checking-your-opencv-version-using-python/](http://www.pyimagesearch.com/2015/08/10/checking-your-opencv-version-using-python/)

## Installation
Provided you already have NumPy, SciPy, Matplotlib, and OpenCV already installed, the `imutils` package is completely `pip`-installable:
Provided you already have NumPy, Matplotlib, and OpenCV already installed, the `imutils` package is completely `pip`-installable:

<pre>$ pip install imutils</pre>

Expand Down
3 changes: 1 addition & 2 deletions imutils/perspective.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
# website: http://www.pyimagesearch.com

# import the necessary packages
from scipy.spatial import distance as dist
import numpy as np
import cv2

Expand All @@ -26,7 +25,7 @@ def order_points(pts):
# top-left and right-most points; by the Pythagorean
# theorem, the point with the largest distance will be
# our bottom-right point
D = dist.cdist(tl[np.newaxis], rightMost, "euclidean")[0]
D = np.linalg.norm(np.subtract(tl[np.newaxis], rightMost), axis=1)
(br, tr) = rightMost[np.argsort(D)[::-1], :]

# return the coordinates in top-left, top-right,
Expand Down