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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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Equivariance vs Invariance in Convolutional Neural Networks

Could someone please explain to me in details (possibly from mathematical point of view) what is the role of Equivariance and Invariance in Convolutional Neural Networks, and how are they actually ...
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OCR on striked-out text

I have the following image with me: I want to identify the text, which is the amount mentioned at the bottom of the table. However, the bottom edge of the table goes through the text in this case. ...
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how can I get the original pixels that lead to the decision in CNN ? is that possible?

I work on medical images, I want to locate the most relevant regions of the image based on deep learning spatially CNN, so I feed my data into VGG16 architecture, I get the features maps, now I want ...
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1answer
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YOLO pretraining

I'm implementing YOLO network and have some questions. In the original paper the authors say: "For pretraining we use the first 20 convolutional layers from Figure 3 followed by a average-pooling ...
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Training detector without bounding box data

From what I can see most object detection NNs (Fast(er) R-CNN, YOLO etc) are trained on data including bounding boxes indicating where in the picture the objects are localized. Is there any model ...
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1answer
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YOLO layers size

According to the original paper, the input size of the YOLO network layer is 448x448x3 and after the filter (7x7x64-s-2) is applied the output shape is to be 221x221x192 as I suppose. Some sources ...
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Relationship between mean average precision (mAP) and f1 score for object detection

So I'm evaluating two models on an object detection task. For evaluation, I compute the precision and recall for several detection thresholds, find the best threshold for the two models and compare ...
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Tensorflow object detection API issues

I use Tensorflow object detection API, and have 2 questions: Where can i find all data augmentation parameters that available for config file? When I train model on my own dataset, i see loss metric ...
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How to create a GAN which identifies bald patches and makes it look hairy?

I am a Data Science newbie. I want to create a GAN which highlights bald patches in images like these: I want the GAN to locate the patch and then put black dots (like hair roots) on that area. ...
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Bounding box coordinates prediction

How to pass multiple bounding boxes coordinates to CNN model?My goal is to predict the coordinates of texts in an image.
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How to train object detection system for 2 classes having two seperate datasets for each class?

I have dataset of class A and a dataset of class B. However dataset A does not contain annotated class B and vice-versa. Is there a way to somehow train object detection system like SSD to detect ...
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Examples for multi-input Convolutional Neural Network

I want to create a multi inputs Convolutional Neural Network (cnn) that takes two inputs and produces one output of the inputs class by using Keras. I searched for resources that explain multi inputs ...
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1answer
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How to visualize image segmentation results

I am using u-net to do semantic segmentation for N>1 classes. The input size is (128,128,3), the output size will be (128,128,N). what is the correct way see the prediction as an image ot size n1 x n2 ...
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1answer
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What exactly does the model generation mean in this diagram?

I've been trying to grasp a research paper on image colorization using neural networks here I am stuck at this diagram. What I need help on, is the Model Generation step after Feature extraction. ...
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input annotations quality check for large scale image data

while dealing with image data at very large scale, there are different sources where data is coming from. Often, we do not have any control over quality of labels/ annotations. I already do use ...
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1answer
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Bounding Boxes in YOLO Model

The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes. My question is how does the model make these bounding boxes for every grid cell ? Does ...
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Convolutional neural network for gray images

I am using vgg16 to design a CNN that takes gray input images. The model give me good results without changing anything related to colors. I am not sure if what I did is correct or not. I want to ...
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Deep Learning ROC and Average Precision Curve Results

I used Vgg16 to create a deep learning model and the dataset is imbalanced so, I used class_weight argument in fit_generator method. The model result as the following: accuracy= 98.9% and loss= 0....
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How exactly is equivariance achieved in capsule networks?

I have read quite a lot about capsule networks but cannot understand how the squashed vector would also rotate in response to rotation of the image.A simple example would be helpful.I understand how ...
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Do capsule networks have to be trained on different poses of an entity for them to work?

I have read about capsule networks and have failed to understand the following. A capsule network can identify objects at different poses(affine transforms) via its instantiation parameters.But my ...
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1answer
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How to properly save and load an intermediate model in Keras?

I'm working with a model that involves 3 stages of 'nesting' of models in Keras. Conceptually the first is a transfer learning CNN model, for example MobileNetV2. (Model 1) This is then wrapped by a ...
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it is possible to use features maps of CNN to localised important areas in image?

I'm new in deep learning and CNN, I understand how convolutional and pooling layers work, I understand how and why feature maps are created. How I can localize from the feature maps important area in ...
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1answer
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How to make two parallel convolutional neural networks in Keras?

I created two convolutional neural networks (CNN), and I want to make these networks work in parallel. Each network takes different type of images and they join in the last fully connected layer. ...
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1answer
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How to fetch text from pdf to further proceed with question answer based model from the same document?

To illustrate the above title. Suppose you have a pdf document, which is basically scanned from hardcopy, now there are set of fixed questions to answer from the document itself. For an example a ...
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Questions as I'm implementing computer vision (IID), image processing paper

As I'm reading paper An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition r/https://i.cs.hku.hk/~yzyu/publication/L1PIF-sig2015.pdf I got some unclear parts. For ...
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Why is network in network architecture significant?

When talking about convolutions, we have seen networks carrying out the network in network architectures (1x1 convolutions), What is the significance of this process and how does it affect the network ...
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Which is the fastest image pretrained model?

I had been working with pre-trained models and was just curious to know the fastest forward propagating model of all the computer vision pre-trained models. I have been trying to achieve faster ...
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Ubuntu OpenCV is not recognizing multiple faces using LBPH technique

I am working on facial recognition algorithms where I have developed the algorithm for recognizing 2 persons distinctively in OpenCV python on the windows operating system. That is working ...
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1answer
70 views

Overfitting in Siamese Network

I am trying to train a Siamese network for an application very similar to this and this. From what I have read about training Siamese networks dissimilar pairs of images outnumber the similar pairs ...
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1answer
91 views

Semantic segmentation: mean IOU in presence of missing classes

It seems to me that the mean IOU is a poor metric in the presence of unbalanced classes. E.g., suppose I have 10 classes but one image has only 2 classes present in its label. Consider the prediction ...
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1answer
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Getting rid of maxpooling layer causes running cuda out memory error pytorch

Video card: gtx1070ti 8Gb, batchsize 64. I had such UNET with resnet152 as encoder wich worket pretty fine: ...
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174 views

Cross validation for convolutional neural network

I am using Keras to create a CNN model, and I would to use K-fold cross-validation to train the dataset. The dataset contains images and I am using ...
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2answers
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What is the difference between using numpy array images and using images files in deep learning?

What is the difference between using numpy array images and using images files in deep learning? Which way is better?
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1answer
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Should I use rescale parameters for data augmentation? [closed]

I am using Keras library to build a CNN model. I want to use data augmentation for training data. Should I use rescale parameters for data augmentation? ...
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1answer
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Data augmentation parameters

When I use data augmentation to increase the train dataset, should I use all augmentation techniques (parameters in keras)? Which data augmentation parameters should use with flow_from_directory?
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Optimizer for Convolutional neural network

What is the best optimizer for Convolutional neural network (CNN)? Can I use RMSProp for CNN or only for RNN?
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Data augmentation in deep learning

I am working on a deep learning project for face recognition. I am using the pre-trained model VGG16. The dataset has around 100 classes, and each class have 80 images. I split the dataset 60% ...
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1answer
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Data augmentation: ImageDataGenerator vs openCV

I want to increase the data in my dataset to create a CNN deep learning classification model. Which is better for the model using data augmentation by ...
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Neural Network Architecture for Identifying Image Copies

I have a large image collection and wish to identify the images within that collection that appear to copy other images from the collection. To give you a sense of the kinds of image pairs that I ...
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262 views

Resnet 50 as a backbone of Unet

I want to use a pre trained Resnet 50 as a backbone for Unet model. But the issue is resnet 50 is expecting the size of image as 197 x 197 3D channel but the image of mine is 128 X 128 x 1D channel. ...
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1answer
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Image recognition of selfie images

I developed an Android app that lets anyone upload pictures of encyclopedic things (bridges, museums, dishes, landscapes, paintings, etc) to Wikimedia Commons. Unfortunately, 5% of the users find it ...
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1answer
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How to determine the number of the training images in Keras after data augmentaion?

I want to create a CNN model and I am using data augmentation. I want know the number of augmented images in Keras. How to determine the number of the training images in Keras after data augmentation?...
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4answers
163 views

Classification problem with many images per instance

I am working in the following kind of classification problem: I have to classify every instance as class A or class B using many images of the instance. That is, every training example has not one ...
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1answer
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How design a autoencoder architecture

I would like to build an autoencoder (CNN) to learn a representation of my data. I never built such a network and I have some experience in supervised learning (classification). I would like to know ...
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1answer
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Classifying Car Data By Year

I have huge car photos. I want to predict car's "brand-model-body type and production year" First, I splitted data into train and validation, and I categorized them like this. Every category has ...
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1answer
158 views

Multiple keras models parallel - time efficient

I am trying to load two different keras models in parallel. I tried to use the functional API model: ...
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26 views

Best practices to modelize top layers over CNN

I'm fine-tuning a InceptionResnetv2 network to get a features extractor, so I'm training a classical classifier with my data (one label/data, i'm using a softmax). I would like to know how to choose ...
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1answer
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Effective Methods for Background Removal on Images

I'm interested in learning about how background removal works on images taken of clothing items. Do we need a specific color difference between the background and the clothing item in order to be able ...
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1answer
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Meaning of dropout

What does model.add(Dropout(0.4)) mean in Keras? Does it mean ignoring 40% of the neurons in the Neural Network? OR Does it mean ignoring the neurons that give ...
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Maximum number of classes YOLO net can recognize

I'm trying to make a mobile app on image recognition(Computer Vision Application) . Does anyone know whether modern day smartphones have enough processing power/memory to recognize, say about 1 ...