Comments (2)
Hi,
Q1: We just eliminated the duplicated fonts.
Q2: Right.
Q3: If you want to use the model weight that we uploaded, you should use our decompose json file.
New characters can be added to the file, but please remind that the defined component ids should be preserved.
If you are training a new model, you can build your own decompose json file.
Its format is a dictionary: {character name : [list of corresponding component ids]}.
The "character name" should be identical to the character name used in your lmdb dataset and meta files.
In this case, using different component ids ours is okay(In our case, 0 indicates ⺁, 1 indicates ⺌ ...).
from lffont.
ok, thank you.
from lffont.
Related Issues (20)
- Style transfer for a single font HOT 7
- how to "Build meta file to dump lmdb environment" and how to "python build_dataset.py "? HOT 2
- During training, the model stops at "Start training..." HOT 13
- lmdb_path HOT 7
- Training interrupted by validation HOT 10
- Question about p1dataset.py HOT 2
- Pre-trained model for Korean fonts generation HOT 2
- The label number of the chn_decomposed HOT 8
- Question about training
- How to use the data produced by the build_dataset.py file during training HOT 9
- Question about the classfiers for calculating FID ACC(S) and ACC(C) HOT 3
- Hello, may I ask how to process data when using images as training sets in LFFont? HOT 1
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- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (27, 2) + inhomogeneous part. HOT 4
- Question about korean generator HOT 2
- 数据集 HOT 1
- data set HOT 1
- data set HOT 4
- about phase 1 training HOT 2
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from lffont.