Learnings from training a font recognition model from scratch
1–8 of 8 posts
Re: Learnings from training a font recognition model from scratch
#2Re: Learnings from training a font recognition model from scratch
#3Re: Learnings from training a font recognition model from scratch
#4Graphic designer here. A font recognition ai is sorley needed. Gemini and its competitors flat out lie when asked and Adobe Illustrators Retype is laughably bad. The problem I face almost every day is not to find a close match but to find the actual font in use, commercial or not.
I just use Rookledge's Type Finder and a battered copy of Precision Type 5.0
Re: Learnings from training a font recognition model from scratch
#5Re: Learnings from training a font recognition model from scratch
#6Re: Learnings from training a font recognition model from scratch
#7Curious why the model architecture wasn’t talked about at all? Did I miss that part?
``` from torchvision import models
# Avoid downloading pretrained weights; we load trained checkpoint weights. model = models.resnet18(weights=None) model.fc = nn.Linear(model.fc.in_features, num_classes) ```
https://github.com/mixfont/lens/blob/main/lens_inference.py#...
Re: Learnings from training a font recognition model from scratch
#8Sometimes you're trying to replicate a logo and they've hand tweaked a letter or two, or stretched it.
edit: (Google Fonts actually have fonts you can natively stretch and some with replacement character variants) I wonder if the tool uses that to better match?)
Sometimes you just don't want to pay for a fancy font and I believe font shapes are not copyrightable?