opencv-python
opencv-python copied to clipboard
opencv
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
opencv-python redistributes LGPL-licensed libraries with its wheels. I'm in a similar situation for one of my own projects, and I've been looking at opencv-python to get an idea of how...
I used the "pip install opencv-contrib-python" method and if I run the following: ``` import cv2 print(cv2.getBuildInformation()) ``` I can plainly see that GStreamer isn't enabled. I'm not very adept...
### Expected behaviour When using the imshow() function, a window appears, at the top there are various buttons ### Actual behaviour Buttons work, but they do not display icons ...
Long story short, the numpy dependency for TF 2.3.x (
### Expected behaviour I use OpenCV to register bio-medical images, but these images are really big. I'm able to extract features and compute the homography `H`, and then I use...
### Expected behaviour Installed OpenCV on Raspberry Pi 4 using a wheel, but not from source. ### Actual behaviour When the opencv-python package is installing on RPi it usually builds...
### Expected behaviour SFM module and functions should be usable with python due to being included in the contrib package. ### Actual behaviour When i install the contrib package i...
I am trying to resize an image with cv2.resize function in PYTHON3 and I get the following error: error: OpenCV(4.5.1) C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-oduouqig\opencv\modules\imgproc\src\resize.cpp:3688: error: (-215:Assertion failed) !dsize.empty() in function 'cv::hal::resize' My images...
### Expected behaviour Qt support is still used on macOS ### Actual behaviour Cocoa support is used so advanced functionality (like zooming) isn't available ### Steps to reproduce - example...
### Expected behaviour opencv filter should return the filtered image with the same number of channel as input, i.e. ``` a = np.random.randint(255, size=(100,100,600)).astype(np.uint8) cv2.blur(a, ksize=[3,3]).shape # should be (100,100,600)...
