Questions tagged [image-preprocessing]

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How to add jpg images information as a column in a data frame [closed]

I have jpg images stored in a folder. For ex: 11_lion_king.jpg,22_avengers.jpg etc. I have a data frame as below: ...
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2answers
17 views

Strange out of memory while loading lots of pictures before input CNN for deep learning

I’m using the TFlearn, and want to classify pictures to two category. But the strange out of memory while loading lots of pictures before input CNN for deep learning. The RAM is 64 G in my deep ...
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I Have Issues Installing Basemap

I tried to install Basemap and it gives me this: preparing transaction: done verifying transaction: done executing transaction: failed ERROR conda.core.link:_execute(507): An error occurred while ...
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1answer
20 views

Why do we use different image processing at train and test time for an image classification tasl

I would like to ask why we use different image processing at train and test for an image classification task. For example, this pytorch tutorial uses RandomResizedCrop at train time and then Resize + ...
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31 views

Keras CNN model gives no gradients error during training

I’m trying to create a Convolutional Neural Network model, using an 824 image dataset, for predicting an output value. Problem is that the dataset is quite unstructured, as there are plenty of RGB and ...
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Motion recognition for martial arts moves

I am very new to ML and DS - please point me to the right concepts to research. I would like to create a mobile game which would recognize moves like punches (jab, hook, cross), different kicks with ...
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9 views

Getting a bounding box mask given coordinates of an object in the image

In the paper See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content, one of the inputs to the model is "a bounding box mask smoothed by a Gaussian kernel". I'm not sure I ...
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1answer
32 views

How to remove background (watermark) logo from image

I have been scratching my head for a while. What I have is a scanned PDF document with text and water marked logo at the back as in the below image. I want to do OCR over this, which becomes very ...
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16 views

Can we use RNN or LSTM for prediction and not forecast

I know RNN and LSTM learn from past data, and can forecast next data. In my situation, I have a learning data-set that hide other information I wish to discover or approximate.(This seems rather an ...
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1answer
24 views

Intensity image to RGB for transfert learning

My goal is to use a pre-trained model with intensity based image. Most pre-trained model expect RGB (int) format as input image. An easy workaround is to dupplicate the intensity channel 3 times in ...
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31 views

What is mAP in object detection?

I have been reading through this blog in order to find what mAP is .In the sub heading of AP, they give the example of 5 apple images and finding out the average precision.As far I understand false ...
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Guidance required on image segmentation

I am new to deep learning. Specifically to image segmentation. I am trying to localise object from satellite images (screen grab from google maps). When I am going through articles/blogs in the ...
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1answer
19 views

Finding the appropriate CNN Model Architecture and Parameters

I am currently creating a CNN model that classifies whether the font is Arial, Verdana, ...
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13 views

Precision Recall using Distance Matrix

Given a Pre-trained CNN model, I extract feature vectors for 3450 Reference (Winter) and 3450 Query images (Spring) and compare features with euclidean distance to plot the distance matrix besides ...
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1answer
36 views

How to label images for CNN use as classifier

I have theorical question that I couldnt decide how to approach. I have tons of grayscaled shape pictures and my goal is seperate these images to good printed and bad printed. For this, I look at ...
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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 ...
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8 views

Filters to imitate mobile camera noise

I want to train a super-resolution model that I will further apply to text images. The goal is to work with camera-captured images of text, increase the resolution so that the quality of OCR increases....
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15 views

Facing memory error while converting Dicom data into array

I am building a disease classifier using Dicom scans for many patients. Different patient's scans have different number of slices. For example: Patient1's scan : 100 slices Patient2's scan : 500 ...
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Using a neural network to learn regression in image processing

I have a camera system with some special optics that warp the field of view of the camera, dependent on two variables, $\theta_1$ and $\theta_2$. Given a specific configuration of these two variables, ...
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0answers
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orientation detection - images of govt. issued documents

Trying to figure out a macro approach to detecting orientation of documents that works across document types (maybe a pipe dream). We successfully used SIFT to detect orientation in documents where we ...
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1answer
31 views

How to process Dicom Images for CNN?

I am building a disease classifier. I have Dicom scans for many patients. The scans have different slice thickness, and different scans have different number of slices. However, the slice thickness ...
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2answers
41 views

Data Quality Assessment in Image Data

I'm working on a CNN model that classifies images. After scraping image files from the Internet, I found that many of them didn't look this way as described by the searching keyword (for example ...
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1answer
28 views

How to recognize product based on image using neural network?

Company has many products in their offer (some about 100,000), some of these are very similar to each other. In database there is available only one image per product. Company want to make possible ...
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1answer
25 views

illumination problem for face landmark detection

I trained dlib face landmark detection model using ibug and yaleB datasets. Accuracy of the model is dropping when a bright light or a shadow appears on the side face. Used default parameters and ...
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1answer
38 views

Rescaling each image Individually with keras

I am a beginner working on a simple CNN to classify X-ray detector images. Due to source intensity, all images have different max values. I want to use ImageDataGenerator to rescale those images to be ...
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Object re identification through two cameras

I've been recently using the YOLO to detect trucks in images, which turned out really well. My next step is to try to find images of the same truck across the whole set of images I've retrieved ...
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1answer
16 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 ...
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Does Feeding Edge detected images to the CNNs make sense?

Are edge detected images fed to the CNN based architectures like VGG16, etc? I know that CNNs are able to detect features like Edges, lines, contours, etc but what will happen if one feeds edge ...
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What does Keras Initializers assume about the datasets distribution?

I have a dataset that consists of 9000 Synthetic Aperture Radar images normalized to [0,1]. One of them is visualized in the histogram below. All of the images follow the same structure where most of ...
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4answers
104 views

scaling images for image classification

I am trying to do image classificaition with a dataset that contains images of different sizes. The images are in a folder called Train, which contains 4 subfolders callsed HAZE,RAINY,SNOWY and SUNNY. ...
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1answer
15 views

How to extract face details from a image

I am trying to make a face login application that authenticates the user when matching the registered face and the given face. currently, the issue is I cant extract the face descriptions from the ...
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1answer
174 views

Fastest batch perspective transform for image augmentation

I need to do some augmentation for my training images for a neural networks. The problem is that even when loading batches in parallel, the augmentation is taking longer to perform than the network ...
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0answers
33 views

How to make a heatmap using keypoints from MPII data set

So I am tiring to figure this out but keep running into a wall. So what I want to do is create a heatmap from a 2D image based on the key points generated from the MPII dataset. I have found a CSV ...
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2answers
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2answers
48 views

What's the meaning of precomputed features?

When i learn about deep learning, I found dataset with precomputed features form. Link (http://cs.stanford.edu/people/karpathy/deepimagesent/coco.zip). What's the different with usual dataset?
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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 ...
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2answers
77 views

How to Extract Information from the Image(PNG)

I'm trying to extract some particular information from the image(png). I tried to extract the text using the below code ...
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1answer
27 views

Medical Image Analysis

What are some good starting points for learning medical image analysis and combining it with deep learning? I would like to analyze images with bone cancers but not sure what is proper way to ...
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16 views

Process with which ImageDataGenerator with flow_from_directory() method fetches and augments images from a directory in Keras 2

When using Keras 2.0 ImageDataGenerator and in particular the flow_from_directory() method to perform data augmentation, how many images are generated and in what order? Do we have a way to control ...
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0answers
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Shuffling the images with DataImageGenerator and flow_from_directory in a Medical application (tensorflow 2/Keras)

I am facing the following situation: I have CT images (scans) of patients where 10 images describe each patient. These images are stored in separate directories based on what is the focus of each ...
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Detect the important part of a receipt (CNN)

In general I want to detect prices and products from a receipt. My approach was to detect the important part of the receipt (products with their prices) to then afterwards pass to firebase ml kit to ...
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3answers
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Why do we need convolutions over volume in convolutional neural networks for image recognition?

In convolutional neural networks, we make convolutions of three channels (red, green, blue) with a filter of dimensions $k\times k\times 3$, like in the picture: Each filter consists of adjustable ...
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1answer
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A Question: is it possible for me to create an AI that learns to play games which I did not create?

Mainly, I have a question which I could not find an answer for anywhere, about an AI machine learning game. Is it possible for me to create an AI which can learn a game that I did not myself create, ...
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How to remove noise using morphological filtering

I have two groups of dots that both contain noise between them: The line that separates the two groups in the picture is diagonal in shape. I tried to use morphological filtering on this image to ...
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58 views

How to create an image with pixel values of another image?

I have the following situation: I have an image file with each pixel having a specific value. Now I want to rearrange and distribute these pixel values so that the result image looks similar to a set ...
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1answer
99 views

Tread wear detection

I have an assignment in which I have to provide a solution to measure the tread depth of a tire using a single rgb image. I thought of two possible solutions: Using CNN to measure the image ...
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Multi-label Image Classification Neural Network

I am attempting to complete an old Kaggle competition on the iMet collection but having difficulties understanding how to preprocess the data. The data set consists of photos with a photo_id, a csv ...
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What transforms do we need to apply to masks of images in segmentation tasks

I am trying a semantic segmentation task for multi-class segmentation. I am wondering what transforms are applied to both images and masks in it. Following are my transforms- ...
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1answer
117 views

How to prepare training data for deep learning models

I am working on a project which involves the application of deep learning models. I have collected training data. In collected images, I have more than one object in interest. I am not very clear how ...
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1answer
339 views

How to retrieve images from a url in a pandas dataframe and store them as PIL object in a new column

I'm trying to store as a PIL object in a new column of a dataframe pictures that are located in a column of the same dataframe in the form of URL's. I've tried the following code: ...