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vaibhav mishra
IIT Jodhpur
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I am 4 th year student at IIT Jodhpur currently interning at Mathworks.
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convolutional neural network for medical segmentation code
to resize all the images collectively, you can use audimds=augmentedImageDatastore([201 173],imds); read more-: https://in.ma...
etwa 4 Jahre vor | 0
What to do when training doesn't fit training data well?
maybe your model is getting overfit. try to adopt some dropout and regularization in your model.
etwa 4 Jahre vor | 0
how to improve accuracy in matlab.?
hi, ways to improve your validation accuracy are to apply regularization on your loss, or to apply some dropout so that model ge...
etwa 4 Jahre vor | 0
Remove the seams line when stitching image
for this task, you can use the concept of pyramid blending. refer to this blog for more information -: https://blogs.mathworks....
etwa 4 Jahre vor | 0
Why are the results of forward and predict very different in deep learning?
Hi there, In my opinion you are using BatchNorm in training and not in testing, so how can you expect to get the same results...
etwa 4 Jahre vor | 0
find the area based on contour?
you can use flood fill algorithm and then calculate the pixels with that corresponding value.
etwa 4 Jahre vor | 0
Frame differencing for motion detection/moving object in image
Hi there, i would suggest to use viola jones object detection framework+ optical flow to track the motion of any object of inte...
etwa 4 Jahre vor | 0
Why I received an error when extracting feature using Alexnet?
Hi there, I can think of two methods to solve this problem. 1-Try to resize each image to [227,227,3] with image = imresize(i...
etwa 4 Jahre vor | 0
HOW TO INCREASE TESTING ACCURACY IN CNN?
Hi, there can be different ways to increase the test accuracy. If your training accuracy is good but test accuracy is low then...
etwa 4 Jahre vor | 0
How to find the displacement of the object?
Hi there, to select and track an object, you can use viola jones framework available in matlab computer vision toolbox, and the...
etwa 4 Jahre vor | 0