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3votes
2answers
91views

Video Frame-by-Frame Deraining with MFDNet

After checking the repository of MFDNet, single image rain streaks removal with the provided model is given in test.py. I am trying to modify the code to process frame-by-frame rain streaks removal in ...
JimmyHu's user avatar
  • 7,068
5votes
1answer
163views

String art program in Python using PyTorch

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flakpm's user avatar
4votes
2answers
174views

NumPy script to convert BGR to HSL and back

This is a NumPy script that converts BGR arrays to HSL arrays and back, without using OpenCV. Input and output values are arrays of 3 dimensions with values ranging from 0 to 1, the shape of the ...
Ξένη Γήινος's user avatar
2votes
1answer
789views

Matching corresponding masks of objects between 2 images

Here is a program that processes 2 grayscale images. Both represent the position of objects, in the form of multiple masks per image. Each mask is a shape with one color delimiting it, with 0 (or ...
Clement B's user avatar
7votes
1answer
940views

Create an image made of many circles

I have written some Python code for creating an image made of lots of circles. It works, but I wonder if it could be made faster, shorter or more pythonic somehow. Example image (took 28 seconds): <...
Dornteufel's user avatar
1vote
1answer
85views

Update image pixels based on different criteria

Problem statement: Assume a high resolution (> 3000 x 3000) image is given as input. The image pixels can be classified into one of the three categories namely text, background and drawing. There ...
nkvns's user avatar
1vote
1answer
58views

Correcting coordinates of an image with polynomial root in python

I want to optimize this for loop for correcting coordinates of an image, it takes too long which is not suited for my system. I have done some profiling, the numpy roots is taking most of the time (...
Md Mizanur Rahman's user avatar
2votes
0answers
554views

Multi-threaded image convolution/pooling-python

This multi-threaded code takes an array of 3d images and applies the convolution function with padding, stride, pad values .. as parameters and same applies for creating pooling layers. I need ...
watch-this's user avatar
6votes
2answers
307views

Compressing large jpeg images

I'm working with thousands of large image files in a regularly updated library. The following script does the job (on average reduces my file size ~95%) but costs me around 25 seconds to compress one ...
cburchie's user avatar
2votes
0answers
59views

Generate Black and White confidence map masks for joints, same as OpenPose/Convolutional Pose Machines

Attached below is my code for generating the confidence maps for the joint locations, it is in the same vein as the maps generated for the paper Convolutional Pose Machines and OpenPose. I am ...
ADA's user avatar
  • 121
5votes
2answers
148views

Python image combiner reading writing

I am writing a simple script that will combine two images at a pixel level, selecting every other pixel from one image, and the other pixels from a second image. ...
Alex O'Connor's user avatar
1vote
1answer
312views

Add watermark to images

Recently, I started reading image processing via opencv library in python. I create a minio object storage and upload some photos into it. After that, I wrote a program which reads every image in ...
cutename's user avatar
2votes
1answer
646views

Image Processing - Comparing 2 images and Ranking Similarity

My code compares 2 images of any shape/dimension and ranks them in order of similarity. It starts with reading from a CSV file with columns image1, image2 which contain absolute paths and then ...
Patrick Adams's user avatar
9votes
1answer
4kviews

Bilinear image interpolation

I have written a bilinear interpolant, which is working moderately well except that is painfuly slow. How can rewrite the code to make it faster? Using opencv directly isn't a valid answer. ...
Lin's user avatar
  • 295
5votes
0answers
69views

Tensorflow loop to analyze gradients derived from MRI and PET images

The code shown below takes the partial derivative of each pixel of the output fused image of a neural network with respect to input image of the neural network using tensorflow's ...
Nishant Kumar's user avatar

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