Thanks, i believe this model works well for photos, although more cartoonish. is this a one-size-fits-all approach? could you recommend other models for other images, based on your experience or opinion? images: maps, svg, text, graphs, x-ray scans, microscope (mildly transparent, with mild noise)
You get back an x16 image. Wash rinse, repeat as needed. At some point you'll just start to magnify the defects in the original image encoding. This gets worse the lower resolution image you start with. JPGs are usually worse for this than PNGs as a matter of practice.
There are many many .pth model files out there without a lot of documentation. How do I know find out the correct parameters to use setting up the models? Is there some way to glean that info from the model file itself? I've been struggling with this stuff for quite a while now. Till now, the easiest way for me has been running open-cv upscale models. I know there are better ways (open cv is .. limited, at best), I was just never quite 🧠enough to grok it well enough to get past the inevitable slew of exceptions and plain old lack of understanding on my part. (Hey, I'm just an old skool code bum.) I would 💓 a deeper dive into the whole .pth and/or .onnx model systems (sorry, but the big can of worms is now open...) . ☮, 💓, n 🎸, 🖖😎👍
This is nice and useful. Thanks for the teaching!
Awesome work. I appreciate your efforts ❤
Thanks, i believe this model works well for photos, although more cartoonish. is this a one-size-fits-all approach?
could you recommend other models for other images, based on your experience or opinion?
images: maps, svg, text, graphs, x-ray scans, microscope (mildly transparent, with mild noise)
auto compleate can be so annoying lol. Great video as allways. Thank you
More living proof that VIM is evil. 😉
What if I pass the upscaled output image back to the same model and upscale it?
You get back an x16 image. Wash rinse, repeat as needed. At some point you'll just start to magnify the defects in the original image encoding. This gets worse the lower resolution image you start with. JPGs are usually worse for this than PNGs as a matter of practice.
thanks for tutorial! so helpful!
^ Comments on how helpful the 10-minute video is 1 minute after it's posted. Righttttt
Great video. Could you please make a tutorial on speech recognition using our own custom voice samples?
There are many many .pth model files out there without a lot of documentation. How do I know find out the correct parameters to use setting up the models? Is there some way to glean that info from the model file itself?
I've been struggling with this stuff for quite a while now. Till now, the easiest way for me has been running open-cv upscale models. I know there are better ways (open cv is .. limited, at best), I was just never quite 🧠enough to grok it well enough to get past the inevitable slew of exceptions and plain old lack of understanding on my part. (Hey, I'm just an old skool code bum.)
I would 💓 a deeper dive into the whole .pth and/or .onnx model systems (sorry, but the big can of worms is now open...) .
☮, 💓, n 🎸,
🖖😎👍
do a video on whisper to to create subtitles of old japanese anime, thing is like magic
Please keep the auto translation of your video title, it’s nice knowing the main topic in my own language so I could talk it with others
Amazing
Please turn off the auto translation of your video title
Can you make a video on some important module of python ❤❤