Questions tagged [image]
The image tag has no usage guidance.
27
questions
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0answers
17 views
Image deblurring network (not a GAN)?
GANs take a long time to train. I have to train and use a machine learning algorithm (not necessarily a deep learning algorithm) that is able to deblur any image (after training it in about 10 hours: ...
0
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0answers
12 views
thermal images in R
I have a large set of thermal images to process in R. Taken with Infratec IRBIS camera. Is there an R package to import the images directly in R?
What are some other ways to get temperature data ...
0
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1answer
16 views
Training CNN for Regression
Background: I am using CNN to predict forces acting on a circular particle in a granular medium. Based on the magnitude of the forces, particle exhibits different patterns on its surface. The images ...
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0answers
10 views
Pre-trained image recognition model to label new instances of retail products
Can you recommend unsupervised image recognition models that can be loaded/ transfered?
My task is to provide labels to images of retail products (the N of classes is unknown and potentially huge (~...
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0answers
4 views
Measuring object's surface inside an image
Greeting everyone,
I'm working on a project on Jupyter Notebook, python 3 , so I have a set of images of products and I'm trying to measure the surface tooken by each product inside the image which ...
0
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0answers
29 views
Optimizing parameters for an image-generation algorithm
I have a program that takes an image and a list of parameters and generates a new image. I would like to automate the selection of parameters to produce the 'best' image.
'Best' in this context doesn'...
1
vote
0answers
28 views
visualize images inside the Dataframe [closed]
I use python 3.7.3 and I run this code on Jupyter Notebook .
I have a column named 'image' in my Dataframe named df that contains Url of images I wanna visualize inside the df.
I saw some answers ...
0
votes
0answers
17 views
Using CNNs for template matching in multi-channel image?
I was wondering if it's possible to train a CNN to recognize similar parts between different images.
Here's my problem: let's say I have different images that overlap in part to form a larger image (...
0
votes
1answer
110 views
Multichannel numpy array to PIL image
I have a 4 channel Numpy image that needs to be converted to PIL image in order implement torchvision transformations on image. But when I try to do this using ...
1
vote
1answer
21 views
Is DQN limited to working with only image frames?
I have few questions about Deep Q Network.
Does DQN only accept image frames as input? I have never hear (read) a paperwork where it doesn't use image frames.
If the first is a No, then does image ...
1
vote
0answers
19 views
I am having issues with the output dimensions of my neural network
I am trying to make an image denoiser using a neural network in keras. I have 2 sets of images, un-noised images, and the same images with noise. All the images have the dimensions of (200,200,3). I ...
0
votes
1answer
57 views
How to extract global features of images in Python? [closed]
I am working on a problem involving signature verification, but am not understanding how to create a dataset for it.
I would like to take some genuine and forged signatures and make them into a ...
1
vote
0answers
30 views
Why do UNET-like architectures perform better than sliding-window approaches?
I'm writing a thesis that heavily focuses on semantic segmentation of biomedical images.
I'm reviewing different segmentation approaches, identifying two main approach branches:
A sliding window-...
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0answers
22 views
Architecture choice for variable input dimension sizes
So, I am doing this project where I have lets say a bunch of points. Each of those points can have a different number of RGB values. So lets say point 1 might have 30 RGB values, point 2 might have ...
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0answers
66 views
Algorithms for change detection in images
I'm wondering why people use complex CNNs like in Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks in order to find the ...
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votes
0answers
8 views
Replace the object detected in image with white block using Computer Vision?
How to rebuild the image in such away to find the position of object in the image and replace it with white block?
Thanks,
Swati
0
votes
2answers
23 views
Classifying whether a chess board square contains a piece or not?
I have an image of a chessboard which I segment into its constituent 64 squares. I want to construct a binary classifier which can detect which square contains a piece or not. I know how to do this ...
1
vote
0answers
20 views
Image mapping using a deep learning network while images have additional input parameter
I'm using a UNet to perform image mapping using medical images. Basically, I have a training set that contains original images and target images. However, the images have another parameter: angle. ...
0
votes
0answers
124 views
Implementation of Bhattacharyya distance for filtering images that are far off from their cluster
I need assistance with the python implementation of Bhattacharyya-distance for the below use case:
Here, the polygons P1, P2..Pn refer to the different images where each pixel is represented by 'n' ...
1
vote
0answers
23 views
Pre trained neural networks to recognize certain things
How do you approach the problem or is not classification? For example, I would like to recognize if a face has makeup. But, in order to do this, it would first need to be able to recognize if it is a ...
1
vote
0answers
28 views
fast fourier transformation on images — python
I did Fast Fourier Transform on lena image and I would like to extract real and imaginary parts of its spectrum.
This is my code:
...
0
votes
0answers
22 views
U-Net shows different results everytime
I have trained U-Net for image segmentation task. I have stored weights in a file. Every time I run the model with the same weights on the same test images, U-Net shows different results. Is it okay ...
2
votes
1answer
422 views
How to measure the similarity between two images?
I have two group images for cat and dog. And each group contain 2000 images for cat and dog respectively.
My goal is try to cluster the images by using k-means.
Assume image1 is ...
1
vote
0answers
13 views
Metrics for stain normalization
Are there any metrics or methods for assessing stain normalization techniques?
2
votes
3answers
83 views
Image Classification on non real images
I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on ...
0
votes
1answer
43 views
inner workings of Mobile-net resolution multiplier - what does it do?
i have a question concerning the way Mobile Net's resolution parameter works. From the article itself and from the blog posts on the topic (1, 2) I wasn't able to find an answer to my question. It is ...
4
votes
1answer
513 views
How can I plot/display a dataset or an image distribution?
I want to view a specific image or a dataset's distribution, and see if they are different.
Does simply writing something like :
...
