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

⭐️ 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.
Text-based Tutorial: www.hackersrealm.net/post/enh...
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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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[@anishnethi1784]

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

[@HackersRealm]

Glad you liked it anishnethi.... share and subscribe for more exclusive content!!!

[@dapa669]

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

[@HackersRealm]

Glad you liked it david!!!

[@fahamidurrahaman1882]

Thanks man. Saved me a lot of time !!

[@HackersRealm]

Glad it was helpful!!!

[@thrivefoxxgaming1120]

Awesome job bro.. keep making videos related to DL

[@HackersRealm]

Sure will try my best to covert more topics!!!

[@sergioc6119]

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

[@arshanabbas4341]

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

[@HackersRealm]

You could use a loop to iterate the files in the directory using os.listdir function!!!

[@YakovKeselman]

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.

[@HackersRealm]

I think it's feasible if you do it frame by frame but we have to check the quality on that... Because we already seen that the tech is being used in games and all

[@4096fb]

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

[@HackersRealm]

if you want to create a new model for this, you could use low quality image as input and high resolution image as output and train the model. One particular example I already made is image compression using autoencoder.

[@4096fb]

@@HackersRealm I mean, is there a way to retrain the model or a part of it on a new set of images, so it will know better how to enhance the resolution of my specific dataset?

[@cesarsantos9189]

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

[@HackersRealm]

Yes it is, you have to install opencv with cuda for this

[@user-jn8dg5gh9p]

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

[@HackersRealm]

Yes it's possible

[@abhinavkumar1999]

I have a macbook, does cuda works with it?

[@HackersRealm]

no, cuda needs nvidia gpu for working

[@snehitvaddi]

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

[@HackersRealm]

I have stored all the projects in the same repo, let me check

[@HackersRealm]

Project folder name is super resolution open cv

[@snehitvaddi]

@@HackersRealm cool. Thanks bud!

[@gourabhazra5962]

It seems to unusable on cpu. Takes so long. But nice video.

[@HackersRealm]

it might not take more time but it really depends on the hardware