Comments (6)
Hey @DYF-AI
i) Yes there are only a few images in the emojis dataset.
ii) Yes the training process is end-to-end. Could try training by setting https://github.com/preddy5/Im2Vec/blob/master/configs/emoji.yaml#L13 to 0
iii) Also it looks like you only have 2 curves can you recheck if https://github.com/preddy5/Im2Vec/blob/master/models/vector_vae_nlayers.py#L44 has 4 colors and 4 colors correspond to the ones in the dataset. No the results should look better. Refer to https://github.com/preddy5/Im2Vec/tree/master/logs/VectorVAEnLayers/version_110 for an example training run.
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Thank you very much for your reply, your suggestion is very effective:
ii) Yes the training process is end-to-end. Could try training by setting https://github.com/preddy5/Im2Vec/blob/master/configs/emoji.yaml#L13 to 0
This is the result of 185 epochs, which is much better than before,thank...
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Hey, Dear Author
Epoch 401: 100%|██████████████| 13/13 [00:07<00:00, 1.83it/s, loss=0.170, v_num=110, Reconstruction_Loss=0.0777, KLD=0, aux_loss=0, other losses=0]beta: 0.0
learning rate: 0.00029936846961918924
I have another question. I saw KLD=0, aux_loss=0, other losses=0 during training. Do these losses need to be turned on during training? In other words, will the result be better after turning it on?
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Hey @DYF-AI
KLD is the KL divergence loss like in a VAE
aux_loss is for the auxiliary network we discussed in the main paper.
other losses is the loss term to encourage minimal surface area for the curves.
using other_losses term after 500 epoch will improve the results a tiny bit, KLD and aux should not affect your results.
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Okay, thank you very much for your reply, this is a very interesting and meaningful project, thanks. I want to use path-to-path to generate fonts based on this project...
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@DYF-AI you are welcome. All the best with the project :)
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Related Issues (20)
- the loss is NAN when train model HOT 7
- problems when training HOT 8
- training on real images?
- Default config (emoji.yaml) fails to converge HOT 7
- Why are there many copies in the dataset? HOT 2
- Post-decoding process HOT 3
- emoji dataset is settled to 4 parts, and every parts is filled with a constant color, does this mean im2vec can only deal with HOT 5
- Segmentation tool HOT 4
- Speeding up training and using attention HOT 1
- Chamfer distance code
- Can't install dependencies HOT 1
- Training example from README wont work
- Dependency Conflict with Pillow
- MisconfigurationException in Training Example
- pip install -r requirements.txt. ERRORS HOT 1
- RuntimeError: stack expects a non-empty TensorList HOT 3
- The difference between VectorVAE and VectorVAEnLayers
- No module named 'pydiffvg' HOT 1
- How to train with celeba dataset? HOT 2
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