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```
============================= test session starts ==============================
platform linux -- Python 3.8.12, pytest-6.2.5, py-1.11.0, pluggy-1.0.0
rootdir: /home/runner/work/sketches-py/sk…
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I want to train my pre trained model, but I seem to be encountering some issues.After setting your origin dataset path and output path respectively,start training,butBut it seems to be stuck and hasn'…
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Hi, I appreciate the efforts to develop a benchmark to evaluate ML agent systems in every state possible. But, I am most curious about the annotation process that was used to create these benchmarks. …
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As README.md says,
> "all the offset data has been normalized to have a standard deviation of 1.0 on the training set, after simplifying the strokes. ...Thus each dataclass has its own scale_facto…
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Would like to have some built in widgets so we can include featured datasets on the customizable home page like those that show up at the top of the "normal" dataverse home page.
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Hi @MatisHudon I am trying to generate DepthNormals for my own datasets. I want to know how to generate mask for sketch.
![sketch mask](https://user-images.githubusercontent.com/47249043/76955166-b…
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[ani_sketch_MJ, Disney_sketch_MJ, sketch_MJ, Rough_sketch_MJ, HIBLI_sketch_MJ, pencil_sj, low_sj] correspond to which styles in the dataset?
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This is not really an issue, but I don't know other better ways to share this info.
I have collected two pixiv datasets that can be used for training the PaintsChainer or other sketch coloring neu…
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when I was trying to train a sketch-photo model, it caused the segmentation fault. And I changed to another datasets, the fault happened, too.
I used:
`python main.py --phase train --dataset_name …
ghost updated
4 years ago
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TL;DR: custom training is great! is there a good config or way to debug quality of result on small-ish datasets?
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I've managed to train my own custom models using the excellent additions prov…