Convolution | Code-Implementation-Python | Brief Information

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Namaster every1!!

Myself Akshat Sharma. This is my first video.

This video is about very basic stuff in Computer Vision, Convolution of images(with kernel). How Kernel is put on the image to produce a new convolved image, it is used in edge detection, descriptors and many other uses.

I hope this video will let you understand how to implement convolution.

Comment down below for:
1. feedback
2. topics to be discussed in upcoming videos.
  1. Akshat Sharma
  2. Computer VIsion
  3. convolution
  4. corelation
  5. akshat sharma
  6. learn computer vision
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Комментарии
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5 minutes and this guy explained my whole 3 hours lecture

Claudio-gvlz
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Thankyou for explaination. It was helpful to learn the hardcode, then go for libraries.

surajpandey
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Hi, thank you so much for sharing this video. It is very helpful. Can you explain little bit more about conv_transform()? how is it working?

shivaniarora
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You are amazing and thank you so much!

dangnguyen
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How did you get the kernel image? Can you post the source code

gtaiwo
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I found that kernel is not rotated 180 degree in most of articles. But this makes really sense on output?
Desribe about LSTM from scratch

sushantgautam
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Thank you so much, it Really helps me . Hope you the best😍❤️

efjz
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can you please help me with a program in python for convolution in matrix using shifting, folding, addition

rossirose
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How Can I remove Motion Blur From An Image using Python?

ameykhairnar
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Tried the code, didnt work :(
Instead of initializing image_conv = np.zeros(image.shape), try:
image_conv = np.array(image)

simplyanonymous