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Questions - scikit-image

How to convert a float32 img to uint8 where range is(-1 to -0.85)?

I want to convert a float32 image into uint8 image in Python. I tried using the following code, but the output image only has values like 2 and 3 so the image is practically black. gen_samples[0] * 25...
test-img

Matblanket

python

scikit-image

python-imageio

Votes: 0

Answers: 2

Latest Answer

Normalize the array to 0..1 first. Assuming gen_samples is the image matrix: arr_min = np.min(gen_samples) arr_max = np.max(gen_samples) gen_samples = (gen_samples - arr_min) / (arr_max - arr_min)
test-img

AKX

Finding homography matrices for individual image tiles from a homography matrix that was calculated on the whole image

I'm trying to apply homography transformation on really large images (>30GB). So, my idea is to: Calculate the homography on the downscaled image. Do the matrix correction with [1, 1, F, 1, 1, F, ...
test-img

Krunoslav Vinicki

python

opencv

scikit-image

homography

Votes: 0

Answers: 0

Largest inscribed rectangle after perspective transformation/homography in Python?

I am trying to get my head around generalising this problem to a random perspective transformation. For example, I want to crop the maximum area rectangle of the resulting quadrilateral. from skimage ...
test-img

dtorpey

python

opencv

image-processing

geometry

scikit-image

Votes: 0

Answers: 0

How do I take COCO formatted json and compare them to ground truth images?

I am looking for some help with COCO jsons. I have a set of images that I have labelled with 10 sided polygons (blue blobs). I have another set of images with the ground truth areas (yellow blobs). I ...
test-img

user18636096

python

json

image-processing

scikit-image

pycocotools

Votes: 0

Answers: 0

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