If you are on twitter, can you please tweet the same message to me @DigitalSreeni This is because the developers of pyclesperanto are on twitter and they may help you with the error. I do not know the ins and outs of the library to be able to help you.
Binary image having 0 and 255 pixel values only. There are white pixel components in the image. For each white component, I want to divide it into equal size clusters(every cluster in the component should have almost same no. of white pixels).It is like dividing a polygon in equal areas. there may be some 0 pixels groups in a component of white pixels. a cluster in the component should not include these 0 pixels. please suggest the .efficient solution for this problem. Very helpful if you make a video on that.
Thank you, sir.... I m searching for a segmentation technique that does not require masks or labels.....now I m on right path ☯
Thank you for those videos i remember that i asked for that before... very greatful 🥰😊
You’re welcome 😊
You are a blessing thankful for these lectures
Thanks for the informative content as always. But, I can't find the code in your GitHub repo
What is the sigma_z in the gaussian blur? Is it just a column vector containing the x and y coordinates in our image?
Thanks for your video Prof, its really useful!
Glad to hear that!
I installed pyclesperanto but when I import pyclesperanto_prototype I get LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR
If you are on twitter, can you please tweet the same message to me @DigitalSreeni This is because the developers of pyclesperanto are on twitter and they may help you with the error. I do not know the ins and outs of the library to be able to help you.
I am facing the same error. could you fix it?
I am facing the same error. could you fix it?
did you solve this? i am facing the same error
Any solutions?
Binary image having 0 and 255 pixel values only. There are white pixel components in the image. For each white component, I want to divide it into equal size clusters(every cluster in the component should have almost same no. of white pixels).It is like dividing a polygon in equal areas.
there may be some 0 pixels groups in a component of white pixels. a cluster in the component should not include these 0 pixels. please suggest the .efficient solution for this problem. Very helpful if you make a video on that.
Can you please upload some tutorials on Hematoxylin and eosin (H&E) stained image dataset?
Thank you