Sourav Bairagya
Last seen: 7 maanden ago
MathWorks
62 total contributions since 2019I am an Engineer in the Engineering Development Group here at MathWorks.
My interest lies in the field of Image Processing, Computer Vision and Deep Learning.
DISCLAIMER: Any advice or options here are my own, and in no way reflect that of MathWorks.
Sourav Bairagya's Badges
Contribute at least one answer each month for 3 consecutive months
Awarded to Sourav Bairagya on 04 Mar 2020
Answer 3 questions that were unanswered for more than 30 days
Awarded to Sourav Bairagya on 08 Jan 2020
20 of your answers have been accepted
Awarded to Sourav Bairagya on 28 Dec 2019
Provide your first answer ever to someone else's question
Awarded to Sourav Bairagya on 02 Aug 2019
Answered
How to add batch normalization layers in between Con. layer and RELU layer in Googlenet.? Suggestions to improve accuracy..
To add new layers in layergraph object, first add the new layer using 'addLayer' function. Then, you can use 'connectLayers' fun...
How to add batch normalization layers in between Con. layer and RELU layer in Googlenet.? Suggestions to improve accuracy..
To add new layers in layergraph object, first add the new layer using 'addLayer' function. Then, you can use 'connectLayers' fun...
7 maanden ago | 0
Answered
How to perform Faster RCNN on my own dataset in Matlab?
After you prepared ground truth from your dataset, load that ground truth data. Now, extract the training data from that ground ...
How to perform Faster RCNN on my own dataset in Matlab?
After you prepared ground truth from your dataset, load that ground truth data. Now, extract the training data from that ground ...
7 maanden ago | 0
Answered
Calculating the sum of each row in a matrix.
You can use 'sum' function to compute sum for each row and then can apply 'squueze' function to remove the singleton dimension (...
Calculating the sum of each row in a matrix.
You can use 'sum' function to compute sum for each row and then can apply 'squueze' function to remove the singleton dimension (...
8 maanden ago | 0
Answered
trainNetwork error RESHAPE line 260
It seems that the error lies in using 'reshape' function in 'Crashworthiness_NN'. It may be possible that the number of elements...
trainNetwork error RESHAPE line 260
It seems that the error lies in using 'reshape' function in 'Crashworthiness_NN'. It may be possible that the number of elements...
8 maanden ago | 0
Answered
Using a trained Faster RCNN Object Detector, expected LABEL to be nonempty
It seems that the labelling is not done properly. It may be possible that some images are not labelled. So, it would be good t...
Using a trained Faster RCNN Object Detector, expected LABEL to be nonempty
It seems that the labelling is not done properly. It may be possible that some images are not labelled. So, it would be good t...
8 maanden ago | 0
Answered
how can one utilize a dropout layer in a neural network during prediction?
Usually dropout layers are used during training to avoid overfitting of the neural network. Currenly, 'dropoutLayer' of 'Deep le...
how can one utilize a dropout layer in a neural network during prediction?
Usually dropout layers are used during training to avoid overfitting of the neural network. Currenly, 'dropoutLayer' of 'Deep le...
8 maanden ago | 0
Answered
Monitor Deep Learning Training Progress
You can leverage these links to get idea about how to train multiple deep learning networks and observe their training progresse...
Monitor Deep Learning Training Progress
You can leverage these links to get idea about how to train multiple deep learning networks and observe their training progresse...
9 maanden ago | 0
Answered
In the GAN example of the documentation, did we update D several times before updating G?
GANs can be trained in many fashions. Here, discriminator, D is updated once before updating generator, G. Hence, first, discrim...
In the GAN example of the documentation, did we update D several times before updating G?
GANs can be trained in many fashions. Here, discriminator, D is updated once before updating generator, G. Hence, first, discrim...
9 maanden ago | 0
Answered
how can I do object detection with vgg16 by using rcnn??
You can extract the desired number of layers from the pretrained net and define your choice of network. Here is an small example...
how can I do object detection with vgg16 by using rcnn??
You can extract the desired number of layers from the pretrained net and define your choice of network. Here is an small example...
9 maanden ago | 0
Answered
Create geometry from mesh surface mesh
You can leverage these links: https://www.mathworks.com/help/pde/ug/pde.pdemodel.geometryfrommesh.htmlsearchHighlight=geometryF...
Create geometry from mesh surface mesh
You can leverage these links: https://www.mathworks.com/help/pde/ug/pde.pdemodel.geometryfrommesh.htmlsearchHighlight=geometryF...
9 maanden ago | 0
Answered
ADAS// Lane change
As the error suggests that it is possible that the block supports variable size signals but needs to be configured for them, you...
ADAS// Lane change
As the error suggests that it is possible that the block supports variable size signals but needs to be configured for them, you...
9 maanden ago | 0
Answered
File Doesn't contain valid data of type 'SignalLabelDefintion'
You can leverage this link to get more details on the import and export behaviour of the signal labeler: https://www.mathworks....
File Doesn't contain valid data of type 'SignalLabelDefintion'
You can leverage this link to get more details on the import and export behaviour of the signal labeler: https://www.mathworks....
9 maanden ago | 0
| accepted
Answered
Forward outputs from discriminator of GAN vary with the number of inputs.
It seems that the discriminator layer weights get chnaged during second time calling of "forward" function. Make sure that the d...
Forward outputs from discriminator of GAN vary with the number of inputs.
It seems that the discriminator layer weights get chnaged during second time calling of "forward" function. Make sure that the d...
9 maanden ago | 1
| accepted
Answered
How to make a simple gui for image processing?
You can leverage these links for creating apps using App Designer: https://www.mathworks.com/help/matlab/app-designer.html htt...
How to make a simple gui for image processing?
You can leverage these links for creating apps using App Designer: https://www.mathworks.com/help/matlab/app-designer.html htt...
9 maanden ago | 0
Answered
What is the mean of "Error using builtin" when using trainNetwork?
It seems that data stored in the '.mat' file may have some error. Hence, it would be better to check the dimesnions of those dat...
What is the mean of "Error using builtin" when using trainNetwork?
It seems that data stored in the '.mat' file may have some error. Hence, it would be better to check the dimesnions of those dat...
9 maanden ago | 0
Answered
Accessing dlarray elements for further processing
You can follow this approach, A = randn(6,6); A = dlarray(A); A1 = A(1:3,:); A2 = A(4:6,:); Here, A is a matrix of 6X6 dime...
Accessing dlarray elements for further processing
You can follow this approach, A = randn(6,6); A = dlarray(A); A1 = A(1:3,:); A2 = A(4:6,:); Here, A is a matrix of 6X6 dime...
9 maanden ago | 0
Answered
trainning multiclass in rcnnObjectDetector
You can use 'Image Labeler' app to label your training data. For more information, you can leverage this links: https://www.mat...
trainning multiclass in rcnnObjectDetector
You can use 'Image Labeler' app to label your training data. For more information, you can leverage this links: https://www.mat...
9 maanden ago | 0
Answered
After creating YOLO v2 with resnet50, while training the network, getting error "Invalid training data. The output size ([7 7 16]) of the last layer does not match the response size ([1 1 3])."
From the error it seems that output of your network should have size [1 1 3], but it is having the size [7 7 16]. May be there i...
After creating YOLO v2 with resnet50, while training the network, getting error "Invalid training data. The output size ([7 7 16]) of the last layer does not match the response size ([1 1 3])."
From the error it seems that output of your network should have size [1 1 3], but it is having the size [7 7 16]. May be there i...
9 maanden ago | 0
Answered
How can I make a meshgrid of this image? I am trying to create a bathymetry with matrix.
You can do that following this way. Assume the image is I. [X,Y]=meshgrid(1:size(I,2), 1:size(I,1)); mesh(X,Y,I) %display mes...
How can I make a meshgrid of this image? I am trying to create a bathymetry with matrix.
You can do that following this way. Assume the image is I. [X,Y]=meshgrid(1:size(I,2), 1:size(I,1)); mesh(X,Y,I) %display mes...
9 maanden ago | 0
Answered
down sample nearest method
The command 'imresize(im,0.5,'nearest')' will first find out the query points i.e. it will map the output image cordinates to th...
down sample nearest method
The command 'imresize(im,0.5,'nearest')' will first find out the query points i.e. it will map the output image cordinates to th...
9 maanden ago | 0
Answered
supervised learning to transform multi-dimensional data to 2D?
You can build your custom neural network to learn this mapping function from 14 dimensional data to 2 dimensional data. In this...
supervised learning to transform multi-dimensional data to 2D?
You can build your custom neural network to learn this mapping function from 14 dimensional data to 2 dimensional data. In this...
9 maanden ago | 0
Answered
How can I add gaussian noise to image that are of class double in the range [0, 255]?
The 'imnoise' function expects input pixel values of data type 'double' and 'single' to be in the range [0, 1]. It also accepts ...
How can I add gaussian noise to image that are of class double in the range [0, 255]?
The 'imnoise' function expects input pixel values of data type 'double' and 'single' to be in the range [0, 1]. It also accepts ...
9 maanden ago | 0
| accepted
Answered
Shoud I preprocess the input data before using fitcsvm?
It is better to preprocess the input data before using 'fitcsvm'. There is option to standardise your input data by setting the...
Shoud I preprocess the input data before using fitcsvm?
It is better to preprocess the input data before using 'fitcsvm'. There is option to standardise your input data by setting the...
9 maanden ago | 0
| accepted
Answered
cnn for feature extraction
As you have your RGB images ready, then you can define your custom convolutional neural network using 'dlNetwork' object and tra...
cnn for feature extraction
As you have your RGB images ready, then you can define your custom convolutional neural network using 'dlNetwork' object and tra...
9 maanden ago | 0
Answered
Regarding 3D-UNET for segmentation.
Dataset for training 3D U-Net contains 4-D voulmes of which each one represents a stack of 3D images. The first three dimensions...
Regarding 3D-UNET for segmentation.
Dataset for training 3D U-Net contains 4-D voulmes of which each one represents a stack of 3D images. The first three dimensions...
9 maanden ago | 0
| accepted
Answered
Regarding GAN and its loss objective
You can use 'mse' function from Deep Learning Toolbox which calculates half mean sqaured error between given two inputs. dlY = ...
Regarding GAN and its loss objective
You can use 'mse' function from Deep Learning Toolbox which calculates half mean sqaured error between given two inputs. dlY = ...
9 maanden ago | 0
| accepted
Answered
how to change the color output of segmentation?
For "imshowpair" function, inputs should be grayscale/ binary/ truecolor images and for "jaccard" function, inputs sholud be bin...
how to change the color output of segmentation?
For "imshowpair" function, inputs should be grayscale/ binary/ truecolor images and for "jaccard" function, inputs sholud be bin...
10 maanden ago | 0
Answered
Error using Semantic Segmentation Using Deep Learning
I have tried to replicate that same example (mentioned in the provided link) on MATLAB R2019b and it sucessfully ran. On MATLAB...
Error using Semantic Segmentation Using Deep Learning
I have tried to replicate that same example (mentioned in the provided link) on MATLAB R2019b and it sucessfully ran. On MATLAB...
10 maanden ago | 0
Answered
image labeler_Label Pixels Image
You can use "object DetectorTrainingData" function to create table form the labelled ground truth objects which are returned fro...
image labeler_Label Pixels Image
You can use "object DetectorTrainingData" function to create table form the labelled ground truth objects which are returned fro...
10 maanden ago | 0
Answered
How to TRAIN further a previously trained agent?
In this case, you can resume your training with the previous experience buffer as a starting point. You have to set the 'SaveE...
How to TRAIN further a previously trained agent?
In this case, you can resume your training with the previous experience buffer as a starting point. You have to set the 'SaveE...
10 maanden ago | 0
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