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What is Typical Variation Normalization?

I was reading this paper and came across a term "Typical Variation Normalization". What does that mean intuitively and formally? Any resources I can refer to know more about it?
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how to label 3d model for segmentation task

I'm working on 3d meshes dataset, i have to label it to train my deep learning model for a segmentation task like the picture shows. I spent days looking for a tool to label my 3d data but ...
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Generate profile face from front face image

How can I generate profile face image, based on an input of a front face image? specifically, I'm more interested in doing it for illustrated characters. For example, given the input of the front face ...
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Comparing two images for similarity

Comparing two images for similarity What are the best softwares available for comparing two images having similarity and differences? Example: Margaret Thatcher & Enid Blyton.
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2 votes
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How to integrate the PNG Graph with OBIEE

R generated PNG output store in the BLOB column of Oracle Database table as a image. We would like to show this PNG output in obiee12c dashboard. How can we do it?
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What computer vision task does describing the features of images comes under?

I have a very noob question - Is there a computer vision task category for the task when you describe the objective feature of the images like - brightness, focus, artefacts and hence classify the ...
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Where can I find windows environment image dataset?

I'm looking for a dataset of windows environment images labeled with main windows elements like window, taskbar, close button, etc., independent of the Windows version. Is there any? Edit: something ...
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How to break a binary image mask into multiple masks?

I have image with binary mask. I want to break the binary mask into many individual masks of same dimension, but each mask should contain only one segmentation mask. Is there a way to do it in python, ...
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2 votes
0 answers
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What algorithms exist for identify repeating patterns in a single image?

I am looking for algorithms or models for detecting and identifying repeated patterns in a single image. For example, an arbitrary smaller image might be pasted at random locations in the image. In ...
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1 vote
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What kind of data structure should I use for this data?

I've been using Pandas with the exhaust data from my job for about 2 years now, but I think I've somewhat outgrown strictly tabular data structures. My problem: I work for a large logistics company (...
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1 answer
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Image Preprocessing [closed]

I'm working on a use case where I need to pre process the image for my AIML model evaluation and I want to count all black pixels in RGB image. Instead of iterating rows*column, I'm looking for some ...
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Where Can I find real world gaussian, S&P, speckle black and white image

I am looking for Real world black and white images with gaussian, speckle and s&P noise dataset or images. Where can I find them?
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Noise free image dataset [closed]

Presently, I am working on image denoising using CNNs. I am curious where I can find a noise-free image dataset? I am looking for real-world images but not the dataset that belongs to MNIST.
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2 votes
2 answers
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How to replace the clothes of person using GAN?

I have one source video, let us say if the person is standing or walking in the video, the person's clothes should swap with the destination image (contain the picture of any clothes). I would like to ...
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ValueError: Layer model expects 2 input(s), but it received 3 input tensors using generator

I am trying to fit a model using generator function and I get the following error: ...
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1 answer
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How to convert the image into frontal?

I have to complete the project in which I have to apply some techniques or model to images . My aim is to convert the image to frontal/straight when it comes to skewed , sheared or any transformation. ...
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2 votes
1 answer
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Difference between grayscaled and binary mnist dataset

When making a cnn you could use the classic mnist dataset containing grayscale images. I am considering transforming them to simple binary images instead, the questions is should i? It will be much ...
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1 answer
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TypeError: __init__() missing 1 required positional argument: 'num_features'

I was trying to denoise image using Deep Image prior. when I use ResNet as an architecture i am getting error. ...
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1 answer
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How to feed high resolution images to the model?

I want to do object detection , normally we have a size of image 256 x 256 or 128 x 128 but what if we want to feed high ...
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1 answer
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Why Uniformity of subpixel in image analysis ensures correctness

I don't know if its right place to ask this question. I was working on particle tracking of series of pictures (.tiff) of colloids. And I was Using trackpy in python. The code gives me the position of ...
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1 vote
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Improve CNN model for image classification

I'm using transfer learning with VGG16 for image classification. I have 6 classes each one with more than 20k images, I'm trying to improve my accuracy but after many tests I still don't have good ...
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2 answers
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Jupyter, Python: the kernel appears to have died while training a model on a big amount of data

I am training my model on almost 200 000 images, i'm using Jupyter and now after 3 days of training ( i used 800 epochs and batch-size = 600) I have this " the kernel appears to have died. It ...
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2 votes
1 answer
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Why do we need to concatenate in a U-Net?

You might be familiar with the U-Net, a machine learning network deceived for image segmentation. It's basically an encoder/decoder network with some direct links between encoder and decoder segments: ...
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1 answer
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Deep learning model for more than 3000 classes, Image classification with CNN

I want to create a CNN for image classification but I have more than 3000 classes in my dataset, is this possible in deep learning ? Can anyone help!
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1 vote
1 answer
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Computing SVD through Eigendecomposition of correlation matrix

I am following the excellent series on SVD by Steve Brunton from the University of Washington, on YouTube, but I have trouble interpreting his 4th video on the subject. If I understand correctly, he ...
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2 answers
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CNN for image classification with two outputs

Is it possible to classify my images (cars parts) by the type of cars part(door, window ...) and also by the view of the image( front, back, right, left, top and bottom). My pictures are labelled like ...
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1 answer
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Image parameters for SRGAN

In some implementations of SRGAN I've noticed, that datasets consist of the high-resolution images and the low-resolution images are created later by, e.g. resizing (decreasing the size) hr-images. ...
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1 answer
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Detecting original vs. edited (reposted / recompressed) image

I'm trying to create something to help solve this problem: My goal is that, given two images where one is an edit of the other, produce a system that outputs which one is most likely to be the ...
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U-Net doesn't work with images different from the dataset

I have implemented a very similar U-Net code from github, but for a different dataset, this one, to segment roads, it works fine using the test folder images, but when i for example, pick a print from ...
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1 vote
0 answers
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What would be the best way to combine several denoised images and achieve superior denoising results? [closed]

I have generated denoised images using several models and would like to create an ensemble of these individual images to achieve superior denoising results. What would be the best way to combine (...
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1 vote
1 answer
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Are Deep Neural Networks limited to grayscale images depending on whether you use Seq. or Func. API?

When I say DNN, I mean the simple usage of densely connected neurons (not CNN). Say we are using Keras (with Tensorflow backend), the input_dim, using the Sequential API, can only take an integer or ...
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2 votes
1 answer
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Will images modification get me a better machine learning model?

Will images modification get me a better machine learning model? I have the following scenario. Camera is fixed and does photos of a process. The process has a few states. Now I want to train a model ...
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1 answer
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Improving the pix2pix Architecture for Sketch to Image Translation on a Dataset of Sketches of People to Photos of People

For a university project, I need to create a neural network that translates sketches of people into images. In order to implement such a neural network, I decided to implement a pix2pix GAN ...
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pix2pix GAN with Rectangular Image Dataset

I am currently working on a project (for university) which translates sketches of faces to images of this person. For implementing this, I decided to use a pix2pix GAN architecture. However, I have ...
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1 vote
1 answer
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distribution difference between image and text

Once for the task of image captioning I've read that, the features extracted from image and text by deep networks are from two different worlds and got different distribution. My question is how is ...
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1 vote
0 answers
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Appearance-based hashing for similarity detection for picking the 100 most distinct images out 500 images

I would like to perform appearance-based hashing for similarity detection. I have 500 photos for each of my categories but I only want to maintain the 100 of them that are most distinct. How should I ...
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My Keras predict_generator gives complete black output

I am working on a image-to-image translation problem and trying to work with a basic UNet. But strangely I am getting complete black image prediction everytime with keras.predict_generator, even if I ...
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What does an image pose (camera to world) mean?

I have 1000 2D images of a 3D scene. For each image, I have pose (camera to world) as follows: ...
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1 answer
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Image regression problem

I've tried a number of experiments with machine learning. From trying to use GANs to upscale images to playing with auto-encoders. There is one problem that haunts me and always ends up ruining my ...
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0 votes
1 answer
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how to scale a dataset contains a b&w and Grayscale images

I have a dataset that contain both black and white images and a grayscale images (some of them are scnned by printer and other by camera and changes into gray) how can make or scale my dataset so I ...
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2 votes
1 answer
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How to build a database of image data for machine learning?

I want to build a database of image data for machine learning. But how should this be done? I'm assuming people don't just dump all of their image data into a folder? Do they use a relational database ...
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1 vote
0 answers
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How to custom operations in the forward function in pytorch

I am doing an experiment on images of small size as follows: The input image has only one channel, then I apply 2 customed filters (denoted by A and B) to do the convolution with the image. The filter ...
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1 answer
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how to reconstruct image from feature space of convolutional neural network?

lets say i have fed an image into VGG19 pre-trained on imagenet as follows: ...
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1 answer
449 views

Dynamic Images in Tableau

A Tableau Workbook I'm working on has different users logging in to see the data for their company. In the dashboard I have created a dynamic image that shows the customer logo depending on who is ...
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0 answers
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Checkerboard artefacts vs distinct objects in GANs

I found a very good solution for getting rid of checkerboard artefacts in GANs: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/190 Instead of using Transposed Convolution, use bilinear ...
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1 vote
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Train an RNN with image sequences of varying length in keras for regression

How to program a RNN model with image sequences of varying length in keras for regression? (Just assume the output is some predefined continuous values) I've read up things about training RNN on ...
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5 votes
1 answer
572 views

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....
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0 votes
1 answer
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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 ...
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0 votes
1 answer
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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 ...
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1 vote
1 answer
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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 ...
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