Questions tagged [image]
The image tag has no usage guidance.
46
questions
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0answers
5 views
Viewing single band images with Tkinter
Has anyone found a Tkinter compatible image viewer for single band images (i.e. view red band only in a GUI)?
In the past I have used PIL.ImageTK.PhotoImage to view RGB images in Tkinter, but when ...
3
votes
1answer
58 views
+50
How can my Pytorch based GAN output pure B&W with no grayscale?
My goal is to create simple geometric line drawings in pure black and white. I do not need gray tones. Something like this (example of training image):
But using that GAN it produces gray tone images....
-3
votes
0answers
24 views
What model to use to convert images to “nightmode”
I have an image:
Which I want to convert to:
Where do I get started? What model is going to accomplish this? What do I need to read?
Explain your votes
0
votes
0answers
12 views
Find an image in a huge list of other images (feature matching, ORB, BRISK, …)
Imagine I have 20k images of different Beer bottles in different situations, positions, orientations,... I would like to find the picture that contains that specific beer I'm looking for, say a Corona....
0
votes
1answer
11 views
Get specific object dimensional position from image
I need to get specific object like logo dimensional position from an image. I checked open-cv, pillow package etc but it does not help to me. Can anyone advice which is the best process to do this? Do ...
0
votes
1answer
27 views
Rendered Image Denoising
I am learning about "Image Denoising using Autoencoders". So, now I want to build and train a model. Hence, when I read into how Nvidia generated the dataset, I came across: We used about 1000 ...
0
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0answers
15 views
Clarification of image reverting
I am a newbie to deep learning. Could someone please explain why (img)*0.5 + 0.5 line and img = img*255 will be there for ...
1
vote
0answers
15 views
CycleGAN: Generator losses don't decrease, discriminators get perfect
So I´m training a CycleGAN for image-to-image transfer.
The problem is: while the discriminator losses decrease, and are very small now, the generator losses don't decrease at all.
The generator ...
1
vote
0answers
25 views
Neural network training returns always the same error rate
I'm playing around with AForge and I want to create a neural network which detects pictures with one point as right and pictures with more points as wrong.
I use 10 right and 10 wrong pictures for ...
1
vote
1answer
32 views
Image Super-resolution Connecting Subimages
I'm working with image super-resolution on terrain height data. Currently, I'm cutting the input data into smaller pieces (20 x 20 rather than 10800 x 10800).
After the upscale 20x20 -> 40x40, ...
1
vote
1answer
26 views
How to understand image of Fourier transform?
When image is transformed using 2d fourier transform we can visualize the output as:
I think I understand correctly that those lines that come from the center represent high frequencies in horizontal/...
2
votes
2answers
65 views
how to see decision tree when running in anaconda?
In Jupyter displaying the DT is done as follows:
# Display in jupyter notebook
from IPython.display import Image
Image(filename = 'tree.png')
How to see DT ...
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0answers
34 views
1
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0answers
34 views
how to resize image without changing DPI in opencv for detecting text and feeding into OCR?
i resized the image using open cv and it changed the dpi of the image from 300 dpi to 90 dpi . What is the correct way to resize image without changing its dpi in open cv . if we feed the resized ...
0
votes
0answers
16 views
Where can I download images along with their annotations xml?
I need images and their annotation(xml) of various catgeries like 'Jackets','truck' ,'glasses' .Which site can I find them or is there any github repository where I ...
0
votes
0answers
17 views
Regression for Deskew Document problem
I am currently at an impasse regarding my regression problem.
My goal is to generate a model that rotates correctly an image. My images are documents (invoices for example). Each document is either ...
1
vote
1answer
28 views
How important is the channel order in deep-learning computer vision tasks?
I stumbled across this question while working with OpenCV, which stores color images in BGR order in memory, while most other libraries I know of use RGB order.
How important is this difference? ...
0
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0answers
87 views
Image.py warning messages
I got the following warning messages when calling the 'model.fit_generator' function on keras:
...
1
vote
1answer
15 views
Does white balance correction improve the performance of visual object detection?
Visual object detecion aims to locate and recognize objects of interest in images.
I wonder, does white balance correction contribute to better performance of visual object detection? Are there any ...
1
vote
0answers
13 views
Image Quality Assessment Algorithms
I am working on super resolution projects using Generative Adversarial Networks. I need to validate the generated image whether they are close to original one. I already worked with SSIM and PSNR. is ...
0
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0answers
23 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
votes
0answers
15 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
votes
1answer
17 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 ...
0
votes
0answers
13 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 (~...
0
votes
0answers
6 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
votes
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
73 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
33 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
1k 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
23 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
22 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 ...
1
vote
0answers
93 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-...
0
votes
0answers
24 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 ...
0
votes
0answers
158 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 ...
0
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0answers
11 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
22 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
273 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
25 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
33 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
24 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 ...
4
votes
1answer
4k 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 ...
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0answers
13 views
Metrics for stain normalization
Are there any metrics or methods for assessing stain normalization techniques?
2
votes
3answers
126 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
90 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
1k 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 :
...
