Questions tagged [computer-vision]

Computer Vision is a subfield of computer science which deals with analyzing and understanding images. This includes detection of objects like faces in images or segmenting images.

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why we need data labelling tool for computer vision?

Before start training images with tensorflow object detection api we need to use labelling tool to annotate our images and converted to XML format. What happens when we convert our annoted image to ...
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Computer vision and image processing ,disciplines of data science? [closed]

Please kindly guide me,do these two subjects(Image processing and computer vision) belong to data science or they are subfields/dsiciplines of data science??
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Using Tensorflow object detection API vs Keras

I am new to machine learning. I am curious to know what is the difference between using Keras instead of TensorFlow object detection API. We need to manually configure hidden layers and input layer in ...
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What are features in computer vision?

I'm learning how U-NET network works to do semantic segmentation. I think I have understood everything but features. What are those image features? I read that convolutional layers extract features ...
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Training loss/accuracy fluctuates too much when using CutMix regularization

Recently I read about the CutMix data augmentation technique from this paper and I'm trying to implement it on CIFAR-10 dataset. Here is my implementation from the given pseudocode: ...
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is validation and train set should be all different files?

Let say I have train set and validation set if 'A' included in the train set. 'A' should not be include in the validation set? or some is ok?
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EfficientNet: Compound scaling method intuition

I was reading the paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks and couldn't get my head around this sentence: Intuitively, the compound scaling method makes sense ...
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Help with algorithm approach for computer vision

I hope this is the right forum to ask. I had a client approach me with a demand for a vision system for their assembly line. The problem they are facing is that the operator sometimes forgets to put ...
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21 views

How to recognize overlapping digits?

I've got a set of images with overlapping digits which need to be recognized. The task seems a good fit for neural networks but the issue is that they are used to have inputs as single digits but in ...
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Improve results of image stitching using OpenCV (material science)

I'm trying to improve image stitching results with a series of pictures taken via microscope. The object I've photographed is a 3D printed cube that has a number of repeating shapes on the surface. ...
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What does “context” mean in the context of computer vision models

I'm reading this research paper and I do not understand what they mean by "high level context".
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Information Extraction from image / text - approach?

I need assistance with a ML project I am currently trying to create. I receive a lot of invoices from a lot of different suppliers - all in their own unique layout. I need to extract 3 key elements ...
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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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Can one hardcode convolutional filters to detect characters in a CNN?

In Pytorch, you can hardcode your filters to be whatever you like. At the moment, I'm doing text detection and I need to identify the location of a certain information. This information always ...
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How to identify and extract text from table in a image ? Are there any machine learning model avaible for extracting text in a table?

How to identify and extract text from table in a image ? sample image shown below Are there any machine learning model available for identifying table and extracting text in a table ? i tried ...
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Difference detection between two images

I am trying to compare two images and detect the difference between them whether in shape or color. -The change in shape: the number of parts has changed ( increased or decreased). -The change in ...
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Extracting document templates from similar documents

Using very basic techniques (zone segmentation + OPTICS) I was able to organize a set of around 10^4 business documents (invoices, receipts) into hierarchy of clusters of documents of similar layout. ...
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Looking for libraries for collecting 3D reconstruction dataset from 3D models

I have a directory full of 3D models, and I want to generate rgb images and depth maps from multiple angles. I looked into FreeCad and Panda3D, but both require substantial coding. I am wondering if ...
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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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Skin Detection Classifier

I have a small data set containing around 80 images for people, and the corresponding ground truth for skin regions. I want to train a classifier to be able to detect a skin, and use it later on my ...
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Structuring CIFAR100 for resnet18

This will probably be a basic question since I am starting with computer vision. I am trying to use resnet18 from pytorch and work with CIFAR-100 dataset. Single image has size 3x32x32 and the model ...
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Passing the output of a model as input to an other model , computer vision?

i want to try my hands at a project where i have to detect the brands + the models of sportswears worn by persons participating to a marathon , the project is quite complex , so my first approach ...
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Errors loading tensorflow (.pb) model into c# (Tensorflow.NET)?

I'm new to tensorflow.NET and I am currently following the documentation online (TF.NET/Example) to import my trained CNN model from python into c#. So far I've imported my protobuf (.pb) file into ...
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Determining position of anchor boxes in original image using downsampled feature map

From what I have read, I understand that methods used in faster-RCNN and SSD involve generating a set of anchor boxes. We first downsample the training image using a CNN and for every pixel in the ...
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Freezing (graph) a CNN model with an intermediate layer as the output?

I'm looking for a way to freeze a CNN graph where the output is an intermediate layer. I've successfully tried both Model and K.function to get the intermediate layer as shown below. ...
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PyTorch: How to use pytorch pretrained for single channel image

If I have to create a model in pytorch for images having only single channel. How can I transform my model to adopt to this new architecture without having the need to compromise the pre-trained ...
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Skin Detection From a Face Image

I have photos of people's faces, and I want to detect each person's skin color for later use. I don't want to use predetermined color ranges, instead I want to determine each person's color and then ...
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Variational Autoencoder: Negative log likelihood not optimized

I am using the auto encoding variational Bayes algorithm for one unsupervised object detection task. In the loss function, the reconstruction loss is calculated as the log likelihood of the original ...
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What is rotation rectangle matrix in kitti dataset calibration file

I try to understand kitti calibration file in the file there is line contains something called rotation rectangle I guess it is a matrix, what does the matrix used for ? R0_rect: 9.999239000000e-...
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How can you build a model that extracts data out from receipts?

I'm trying to build a model that is capable of identifying information on receipts and invoices. I have used google cloud vision api for text extraction from the receipt but the problem is it just ...
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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 ...
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shapes recognition for shapes formed by dotted points

In the image, below right corner there is circle shape and triangle shape made with set of co-ordninates.I have searched extensively in the net for algorithm or approach to classify shape correctly ....
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Curve of MAPs to evaluate training progress of Mask RCNN on synthetic data

Is MAP (Mean Average Precision) a good substitute for measuring training and validation accuracy at different stages of training a machine learning model for object detection? I am retraining a Mask ...
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Computer vision and Augmented reality

I'm new to the Computer Vision I want to make AR application, I don't know where to start. Please give me some advice?
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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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Find Correspondence between Image Pair

I have a problem with the following provided: (for some reason I can't disclose the dataset) Dataset My dataset is a bunch of raw images with a lot of strip-like objects. Each image has a lot of ...
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my cifar10 kaggle result around 10% is there something wrong with my pytorch code/?

I'm quite new to pytorch so I want check is there something wrong I got final submission code score around 10% here is my code ...
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Image reconstruction using low-light components

Let's say we have a regular photo and three low-light photos illuminated in different colors. Each pixel is a three-component vector $q=(R,G,B)$. Then $q_k^{A}$ is the $k$-th pixel of the regular ...
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Help with deep learning for motorbike inspection

First of all, I am very new in machine learning and data science, so I am really sorry if my question is completely stupid. I am doing an internship in machine vision, and people of my office want me ...
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Detecting hand-written objects from images

Problem Statement: Identify the sub-region in an image with hand-written text/scribbling (Attaching an example for reference. Masked some text for privacy) Once I get the pixel values, I want to ...
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Can a convention convolution neural network train correctly with different training image size and ratio?

For example the task of transformation, the model consist convolutional layer and pooling layer only, take input of image, and output a feature map (loss MSE, trying to produce feature map that ...
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How to use Inception v3 in Tensorflow

I am trying to import Inception v3 in TensorFlow. I wish to apply it after reading this tutorial on object detection.
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if two convolution layer connected in tandem follow associative property of convolution?

Two Convolution filter follow the associative property as follows :- I want to ask whether this property will hold for two convolution layer with no operation in between them?
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How to convert photo to a vector drawing

I am using the following code to convert photo to a drawing: ...
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Can the same CNN architecture be used for different data sets?

I have a CNN architecture that works well on 32x32x3 images. Can I use that same architecture for a data set made up of 28x28x1 images? (Both data sets have 10 classes). If this is possible, what ...
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Classifying objects in video without machine learning

Recently, Nick Bourdakos posted a series of videos demonstrating bottle detection in a video stream using Tensorflow.js. Specifically, he is using SSD-mobilenet. The problem could be summarised as ...
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What units are depth prediction dataset such as kitti or nyu in? km? meters?

What units are depth prediction dataset such as kitti or nyu in? km? meters? In general, when running a depth estimation network, do we pass in ground truth as km or m or some other more normalized ...
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Combining 2D Detection with Disparity Maps to Learn 3D Object Geometry

Since the disparity map above is a representation of the object's distance from the camera's origin, is it reasonable to assume that a network (perhaps a convolutional LSTM) could be trained to ...
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Deep Learning for Video Classification

Which Deep Learning architecture is best for classifying short videos of variable length? I would like to classify videos that last from 1 up to 3 seconds.
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How to get an intution for generating Keras CNN layers for a model

I am going through tutorial for handwritten text recognition. And to do hand written digit recognition the author has constructed a Keras model as follows: ...

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