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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501 views

Is the graphic of deep residual networks wrong?

I am currently wondering if the following graphic of deep residual networks is wrong: I would say the graphic describes $$\varphi \left (W_2 \varphi(W_1 x) + x \right ) \qquad \text{ with } \varphi =...
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1answer
182 views

How to apply Content-based image retrieval for scanned images?

Is there a way to differentiate between scanned images(with only text) that are well-lit and with good contrast, from the ones that are not(that have poor quality), making use of Content-based image ...
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3answers
841 views

How do I use Convolutional Neural Nets to classify if there are rain drops or soil on the camera lens?

I have certain videos for which the frames are labeled either as dirty (meaning the camera lens is occluded by soil or rain) or as clean. The goal is to test a convolutional neural net on this data to ...
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2answers
9k views

How to deal with large training data?

Currently, I use image files and transform them into a *.npy file(saved as a numpy array) as training data. At present this training data set is nearly 3GB. Now I have more image files, so the ...
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2answers
327 views

My first machine learning experiment , model not converging , tips? [closed]

I wanted to recreate the model mentioned in this paper:https://arxiv.org/pdf/1610.09204v1.pdf . I am using keras with tensorflow backend, and a gtx 1050ti. I am an ML beginner, and thought this would ...
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4answers
29k views

What is the difference between Inception v2 and Inception v3?

The paper Going deeper with convolutions describes GoogleNet which contains the original inception modules: The change to inception v2 was that they replaced the 5x5 convolutions by two successive ...
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1answer
128 views

How do CNNs use a model and find the object(s) desired?

Background: I'm studying CNN's outside of my undergraduate CS course on ML. I have a few questions related to CNNs. 1) When training a CNN, we desire tightly bounded/cropped images of the desired ...
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1answer
915 views

How is the evaluation setup for YouTube faces of FaceNet?

The YouTube Faces database (YTF) consists of 3,425 videos of 1,595 different people. Given two videos, the task for YTF is to decide if they contain the same person or not. Having $n$ comparisons, the ...
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1answer
7k views

How to implement global contrast normalization in python?

I am trying to implement global contrast normalization in python from Yoshua Bengio's Deep Learning book (section 12.2.1.1 pg. 442). From the book, to get a normalized image using global contrast ...
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1answer
108 views

Supervised learning with tagged images

I am new to ML and looking to learn with some project. I have a medical imaging dataset where an image (image is a time series of an object so multiple images) has been looked at by radiologist and ...
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2answers
7k views

Overfitting after first epoch

I am using convolutional neural networks (via Keras) as my model for facial expression recognition (55 subjects). My data set is quite hard and around 450k with 7 classes. I have balanced my training ...
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2answers
2k views

Training Validation Testing set split for facial expression dataset

I am using Convolutional Neural Networks (CNN) and I just want to ask if the way I split my training/validation/testing set is correct. I have a total of 55 subjects. I plan to split them into 80–10–...
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0answers
157 views

Chance Curve in Accuracy-vs-Rank Plots in matlab

I'm working on an image classification problem where each test image (query image) is compared with a set of candidate images (of which several images are considered as "correct answers" or "relevant")...
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1answer
170 views

Is there an open source implementation for bag-of-visual words?

I'm not quite sure I understand the bag-of-visual-words representation, so I may misformulate my question. What I'm currently looking for is an open source library (possibly with python API). I give ...
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0answers
225 views

How to improve the neural art algorithm?

I have been playing around the algorithm with tensorflow in this paper. I tried to convert a photo to a Chinese ink and wash painring, but I got some strange patterns in the output picture(those in ...
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1answer
1k views

Using Neural Networks to extract multiple parameters from images

I want to extract parameters from an image using a neural network. Example: Given an image of a brick wall the NN should extract the width and height of the bricks, the color and the roughness. I ...
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2answers
442 views

How to predict on part of image after training on other part of image?

I have images of identity cards (manually taken so not of same size) and I need to extract the text in it. I used tesseract to predict bounding boxes for each letter and am successful to some extent ...
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1answer
3k views

What is the depth of an image in Convolutional Neural Network?

I am learning cs231n Convolutional Neural Networks for Visual Recognition. The lecture notes introduce the concepts of width, height, depth. For example, In CIFAR-10, images are only of size ...
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1answer
1k views

merging two video camera into one screen? [closed]

Hello there community im looking for a way to merge 2 live video feeds onto one screen but still keeping 2 different perspectives from individual cameras in their own windows while in right side of ...
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0answers
612 views

Trajectory data mining and pattern recognition using ORB-SLAM and KNN-DTW

I've started working on a project about the trajectory data mining from videos - for example: snowboarding video from GoPro action camera. This is the continuation of my previous experiment (MotionML)...
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1answer
87 views

Open cv and computer vision [closed]

I'm new to computer vision, and I'm looking for a good place to start from, what's better between open cv in python or open cv in c++
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1answer
7k views

Recognition human in images through HOG descriptor and SVM classifier performs poorly

I'm using a HOG descriptor, coupled with a SVM classifier, to recognise humans in pictures. I'm using the Python wrappers for OpenCV. I've used the excellent tutorial at pymagesearch, which explains ...
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2answers
192 views

Are there studies which examine dropout vs other regularizations?

Are there any papers published which show differences of the regularization methods for neural networks, preferably on different domains (or at least different datasets)? I am asking because I ...
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1answer
147 views

Agglomerative Clustering Stopping Criteria

I am trying to implement section 3.4 of paper Predicting Important Objects for Egocentric Video Summarization where they have created a distance matrix of frame histograms. In short, let say ...
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0answers
22 views

Experiments on time spent by the visual cortex

I'm working on a object detection problem, using convolutional neural networks which have a lot in common with how the human visual cortex works. I've previously seen remarks on tasks in computer ...
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0answers
47 views

Trying to come up with a feature to improve emotion classifier based on facial movement using facial landmarks

I managed to create an emotion recognition system that uses dense optical flow on each entire frame. While the accuracy range is within 80-90% with cross-validation, I am aiming to improve the ...
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2answers
393 views

Use of Nash-Equilibrium in big data environments

Has there been a successful implementation of Nash-Equilibrium in big data problems like suggesting a best buy in a stock market, in traffic monitoring systems or crowd control systems. All the above ...
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1answer
3k views

How to create and format an image dataset from scratch for machine learning?

I've only worked with ML with .csv formats. I've worked with image formats too but only premade imagesets (MNIST,etc). If I were to create an imageset from scratch, how are the class labels typically ...
2
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1answer
131 views

Object Recognition for classification, is it being used in industry?

I'm wondering if e-commerce companies where products are offered by users, such as EBay, are using Object Recognition to ensure that an uploaded image corresponds to an specific type of object (...

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