Questions tagged [image]
The image tag has no usage guidance.
89
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Flickr8k+PyTorch, CNN+LSTM predicts always same words during model testing
I'm a beginner in Machine Learning and I'm working with the Flickr8k dataset (it contains ~8000 images, every image has 5 captions: ~40000 pairs).
I splitted the dataset in training (70%) and ...
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14
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Multilabel Image Classification - problem with probability at prediction
I'm building a multilabel image classification problem usinc MIMIC CXR dataset. I'm struggling with probability at prediction as for every image in test dataset the probability of an existance of ...
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1
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21
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Import image as array in Orange
I would like to import a PNG image as an 2D array or "flattened" as a vector (e.g. row of a table) in orange such that, e.g., one can use all pixel values as input for PCA or for descriptive ...
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16
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Understanding CLIPascene: Why can't we just use gradient descent on the input directly?
I'm trying to understand and reproduce the CLIPascene paper.
The paper is about the unsupervised generation of sketches from images using the expressive power of a CLIP classifier:
The idea seems to ...
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14
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How is the number of channels in a convolutional layer shrinked or expanded?
I know in order to shrink or expand the number of channels a 1x1 convolution is performed.
I need to clarify the following: is the 1x1 convolution(s) just a matrix multiplication between the image ...
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2
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723
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How to remove the hotspots from given image by using Python and opencv?
In the picture below there are some regions which are very bright (i.e. more white). Some bright regions are wide and some are narrow or thin. The red box covers one such wide bright spot, and blue ...
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20
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Which approach to determine the size of an object to be placed given the sizes of the existing objects in a scene?
I am working on an automated approach to object-based data augmentation. The goal of the approach would be to add a selected object to an existing image. To automate this task, information is needed ...
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18
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How to extract plant images from imagenet
Imagenet, including the mini datasets you can find on Kaggle have many plant images but their annotations do not make it apparent that they are plants (at least, to a computer). Does anyone know of a ...
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17
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Multimodal classification - multiple images for each record
I have a multimodal classification task. In my dataset, each record consists of
a text
a list of 1 to 4 associated images
a label
Probably, I'd want to use transformers encoders to represent both ...
0
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1
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134
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OpenCV add/subtract functions produce different results from numpy array add/subtract
Im trying to brighten and dim an image using OpenCV with two approaches.
Approach 1: Used OpenCV's add and subtract functions to ...
- 103
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31
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What are some methods to convert time series data into images for CNN?
I am working on a project where I have specific time series data which I would like to convert to images. I have investigated various methods, such as Markov Transition Fields, Gramian Angular Fields, ...
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1
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204
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Is it possible to reverse the layers of a convolutional neural network?
From my understanding typically a convolutional neural network has a matrix (e.g. an image) as input and output is either an integer or a vector of integers in regression and in classification a ...
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45
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what labeling format has negative Bbox values in labels?
I have a labeled dataset for object detection
few thousands of images with annotation on csv file
the csv contains these columns
image_path, class, xmax, xmin, ymax, ymin
looks like Pascal voc format ...
- 185
1
vote
1
answer
75
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Autoencoder: How should hidden layer be used?
I'm building a variational autoencoder to generate faces. I'm using gray-scale images with the size 30x30. I started with a very simple model:
Input Layer, 900 nodes, values 0-1
Latent Space, 10 nodes ...
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27
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Python train convolutional on numerical values shape issue
I want to train a convolutional neural network autoencoder on a csv file which contains values pixel neighborhood position of an original image of 1024x1024. When I try to train it, I have the ...
- 137
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1
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254
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Image is rendered when I run jupyter notebook locally, but the image is not rendered when I see the same jupyter notebook on github
I went on github issues to find solutions from people who has similar issue but none of them worked for me. Can someone please help?
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1
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26
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Which loss function to use for a convolution NN for noise removal of high resolution images
My task is to remove small random spots from my 4 mega pixel images.
My strategy was to feed a convolution network these images as I have the true images without the spots in them.
The current loss ...
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4
answers
141
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Validation Loss Not Increasing
I am trying to sanity-check my binary image classification model.
I am training it to overfit on 20 samples, now theoretically training loss should decrease and validation loss should increase. ...
- 148
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1
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254
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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?
1
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2
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408
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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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11
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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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374
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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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529
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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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29
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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
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39
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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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1
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86
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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.
2
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2
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440
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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 ...
- 229
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1
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1k
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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:
...
0
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1
answer
99
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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. ...
- 229
2
votes
1
answer
469
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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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1k
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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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403
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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 ...
- 229
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88
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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 ...
- 101
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31
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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
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4k
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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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1
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2k
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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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432
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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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175
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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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3
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353
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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
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51
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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. ...
- 101
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1
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39
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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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22
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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 ...
- 101
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0
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22
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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
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117
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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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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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675
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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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237
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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 ...
- 131
1
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1
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222
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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 ...
- 249
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13
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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 ...
- 113
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119
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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 ...
