I am trying to get the depth map of two stereo images but error ‘cv2.cv2’ has no attribute ‘STEREO_BM_BASIC_PRESET’ occurred. the code: Answer solved worked with OpenCV 4.
Tag: image
How to highlight part of image with Python Imaging Library (PIL)?
How can I highlight part of image? (Location defined as tuple of 4 numbers). You can imagine it like I have image of pc motherboard, and I need to highlight for example part where CPU Socket is located. Answer Note that for Python 3, you need to use the pillow fork of PIL, which is a mostly backwards compatible fork
IndexError: tensors used as indices must be long, byte or bool tensors
I am getting this error only during the testing phase, but I do not face any problem in the training and validation phase. I get this error for the last line in the given code snippet. The code snippet looks like the one below, The “lab” is a tensor value and prints out the range in such a way, (Note*:
How contour an image area with known coordinates?
I have an ultrasound image and the coordinates (array of x and y points) of the tumor of each image. How can I make a contour around the tumor with those known coordinates using cv.drawContours()? I wish to delete all the information around the tumor and stay only with the tumor image/information. I am getting this error: error Traceback (most
Understanding contour hierarchies: How to distinguish filled circle/contour and unfilled circle/contour in OpenCV?
I am unable to differentiate between the below two contours. cv2.contourArea() is giving the same value for both. Is there any function to distinguish them in Python? How do I use contour hierarchies to determine the difference? Answer To distinguish between a filled contour and unfilled contour, you can use contour hierarchy when finding contours with cv2.findContours(). Specifically, you can
How to replace all pixels of a certain RGB value with another RGB value in OpenCV
I need to be able to replace all pixels that have a certain RGB value with another color in OpenCV. I’ve tried some of the solutions but none of them worked for me. What is the best way to achieve this? Answer TLDR; Make all green pixels white with Numpy: I have made some examples of other ways of changing
Django 2.2 img’s not loading
I’m actually new to django and I found a problem when loading my images, I did the settings like the docs said and it saves my images to the right folder. Just the loading part does not work as I want it to. the upload is working as expected. Saves all images to the media folder (which is on the
How Delete line In image with openCV
I have these images and I want to eliminate the lines that appear, so that the date remains without any other noise. How can I do it in python with openCV? 1.jpg 2.jpg 3.jpg Answer output:
Find all coordinates of black / grey pixels in image using python
I’m trying to find a way to read any any .png, .jpg or .tiff, and return the coordinates of all black or grey pixels in that image. I’m thinking of having a certain threshold grey color, and writing out the coordinates of every pixel that is darker than that. I’m not sure how to manage the aspect of reading the
Error while trying to get the EXIF tags of the image
I’m trying to get the EXIF tags of an JPG image. To do this, I’m using piexif module. The problem is that I get an error – KeyError, saying this: I’ve did everything as in the docs, here on some questions StackOverflow and on pypi website. Everything the same. My code: How do I read the image’s EXIF tags then?