python Programming Glossary: cv2.imread

http://stackoverflow.com/questions/10364201/image-transformation-in-opencv

'float32' map_y_32 map_y.astype 'float32' orig cv2.imread tmp.png warped cv2.remap orig map_x_32 map_y_32 cv2.INTER_CUBIC..

OpenCV dot target detection not finding all targets, and found circles are offset

http://stackoverflow.com/questions/10404062/opencv-dot-target-detection-not-finding-all-targets-and-found-circles-are-offse

'window' pic cv2.waitKey cv2.destroyAllWindows im cv2.imread 'small_test.jpg' gray cv2.cvtColor im cv2.COLOR_BGR2GRAY #I've..

Does anyone have any examples of using OpenCV with python for descriptor extraction?

http://stackoverflow.com/questions/10799625/does-anyone-have-any-examples-of-using-opencv-with-python-for-descriptor-extract

any sensible way to extract descriptors import cv2 img cv2.imread im1.jpg img2 cv2.cvtColor img cv2.COLOR_BGR2GRAY surf cv2.FeatureDetector_create.. code I tried for extracting descriptors is import cv2 img cv2.imread im3.jpg sd cv2.FeatureDetector_create SURF surf cv2.DescriptorExtractor_create.. SURF features using Python 2.7 and OpenCV 2.4. im2 cv2.imread imgPath im cv2.cvtColor im2 cv2.COLOR_BGR2GRAY surfDetector..

OpenCV 2.4.1 - computing SURF descriptors in Python

http://stackoverflow.com/questions/10984313/opencv-2-4-1-computing-surf-descriptors-in-python

import cv2 import numpy as np # Load the images img cv2.imread 'messi4.jpg' # Convert them to grayscale imgg cv2.cvtColor img.. image and searching for similar keypoints template cv2.imread 'template.jpg' templateg cv2.cvtColor template cv2.COLOR_BGR2GRAY..

Adobe Photoshop-style posterization and OpenCV

http://stackoverflow.com/questions/11064454/adobe-photoshop-style-posterization-and-opencv

having to worry about the channels at all import cv2 im cv2.imread '1_tree_small.jpg' im im 128 255 im im 128 0 cv2.imwrite 'out.jpg'..

Writing Python bindings for C++ code that use OpenCV

http://stackoverflow.com/questions/12957492/writing-python-bindings-for-c-code-that-use-opencv

faces.train # Create python object. This works. image cv2.imread '61.jpg' processedImage myobj.doSomething image cv2.imshow test..

http://stackoverflow.com/questions/13379909/compare-similarity-of-images-using-opencv-with-python

this post and change for my context # Load the images img cv2.imread MEDIA_ROOT uploads imagerecognize armchair.jpg # Convert them.. image and searching for similar keypoints template cv2.imread modelImage templateg cv2.cvtColor template cv2.COLOR_BGR2GRAY..

No highgui in python

http://stackoverflow.com/questions/13491253/no-highgui-in-python

import cv2.cv as cv and you're good to go. import cv2 img cv2.imread image name cv2.imshow window name img cv2.waitKey 0 You can..

Python Opencv SolvePnP yields wrong translation vector

http://stackoverflow.com/questions/14515200/python-opencv-solvepnp-yields-wrong-translation-vector

count 0 for fn in img_names print 'processing s...' fn img cv2.imread fn 0 h w img.shape 2 found corners cv2.findChessboardCorners..

Suggestions for a Cron like scheduler in Python?

http://stackoverflow.com/questions/373335/suggestions-for-a-cron-like-scheduler-in-python

Performance comparison of OpenCV-Python interfaces, cv and cv2

http://stackoverflow.com/questions/9357696/performance-comparison-of-opencv-python-interfaces-cv-and-cv2

interface import time import numpy as np import cv2 gray cv2.imread 'sir.jpg' 0 width gray.shape 0 height gray.shape 1 h np.empty.. cv share improve this question The image returned by cv2.imread is an array object of NumPy. So you can use NumPy's functions.. object. import time import numpy as np import cv2 gray cv2.imread 'lena_full.jpg' 0 height width gray.shape h np.empty height..

Simple Digit Recognition OCR in OpenCV-Python

http://stackoverflow.com/questions/9413216/simple-digit-recognition-ocr-in-opencv-python

of course not so clean import numpy as np import cv2 im cv2.imread 'pitrain.png' im3 im.copy gray cv2.cvtColor im cv2.COLOR_BGR2GRAY.. testing part ######################### im cv2.imread 'pi.png' out np.zeros im.shape np.uint8 gray cv2.cvtColor im..

writing robust (color and size invariant) circle detection with opencv (based on Hough transform or other features)

http://stackoverflow.com/questions/9860667/writing-robust-color-and-size-invariant-circle-detection-with-opencv-based-on

cv2.cv.RGB 150 55 65 l_red cv2.cv.RGB 250 200 200 orig cv2.imread c.jpg img orig.copy img2 cv2.cvtColor img cv2.COLOR_BGR2GRAY..