Comments (5)
The colors_new.cp is generated through k-means clustering of the word images from the IIIT-5K dataset.
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I think I used k=2. From the paper:
Pixels in each cropped word images are partitioned into two sets using K-means, resulting in a colour pair, with one colour approximating the foreground (text) colour and the other the background. When rendering new text, the colour pair whose background colour matches the target image region the best (using L2-norm in the Lab colour space) is selected, and the corresponding foreground colour is used to render the text.
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thank you ,I really appreciate your help. could you give a paper link or a github project link about generating through k-means clustering of the word images from the IIIT-5K dataset ? look forward to your kind reply.
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@cjnolet You're right. I dug up my script, and it seems I used K=3, and picked the two clusters with the maximum "distance".
@doudoubean I have posted a gist of the code I used here.
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Related Issues (20)
- Changing text render areas HOT 1
- Generator gives bad result HOT 4
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- results/SynthText.h5
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- Undefined functions in predict_depth.m in prep_scripts HOT 3
- Anyone know how to disable mirrored/backwards text? HOT 1
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- Some special characters are not generated HOT 3
- Can you generate a composite image consisting entirely of '+', '-', numbers, and decimal points?
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