Enhance Your Images with Super Resolution using OpenCV and Python Deep Learning

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⭐️ Content Description ⭐️
In this video, I have explained about how to upscale images using super resolution model with OpenCV in python. This is a deep learning model which is used to upscale the image resolution to 4-8x of the original image size.

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🕒 Timeline
00:00 Introduction to Super Resolution
01:12 Download & Import Modules
03:38 Initialize the EDSR Model & upscale an image
09:37 Compare the Results of EDSR
11:40 Initialize the LapSRN Model & upscale an image
13:27 Compare the results of LapSRN

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Thanks a lot for this! I was struggling to find proper information to use LapSRN and this video really helped a lot!

anishnethi
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Good video, and also explained very well, thank you!

dapa
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Awesome job bro.. keep making videos related to DL

thrivefoxxgaming
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Hi, in which folder do I need to add the downloaded the modules ?

sergioc
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Thank you for the video. Can you please instruct how to apply the same method on whole folder?

arshanabbas
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If i want to enhance image quality on a specific dataset, can you explain how to fine-tune the model? Thanks

fb
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Is it possible to do it on a video as well? I would imagine that reconstructions of adjacent frames would not jive with one another. Thanks.

YakovKeselman
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Great explication now I am running this script, but when I try to run with EDSR x2 I got this error (out of memory in function 'ManagedPtr'), do you know why?, with wherever type size image | Have the GPU configurated to this project

cesarsantos
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I have a macbook, does cuda works with it?

abhinavkumar
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can i use larged sized images(1300x800) for improving zooming quality

jndgghp
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Would you mind sharing the repo of this project please. The link in description doesn't have this particular one.

snehitvaddi
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