library_name: keras | |
widget: | |
- text: input | |
output: | |
url: ./assets/input.png | |
- text: target | |
output: | |
url: ./assets/target.png | |
- text: output | |
output: | |
url: ./assets/output.png | |
tags: | |
- adversarial | |
- aesthetic | |
- quality | |
- filter | |
metrics: | |
- TopIQ-FR | |
- ArcFace Cosine Distance | |
license: gpl-3.0 | |
base_model: | |
- vnet | |
- logasja/ArcFace | |
pipeline_tag: image-to-image | |
datasets: | |
- logasja/FDF | |
<Gallery /> | |
Training logs [here](https://wandb.ai/spuds/auramask/runs/e30f08476ce014eef8ea7acaa689d899) | |
# Model Description | |
This model uses a modified vnet for 2D input/output implemented [here](https://github.com/logasja/keras3-unets) with the following configuration. | |
```json | |
{ | |
"activation": "ReLU", | |
"batch_norm": false, | |
"filter_num": [ | |
64, | |
128, | |
256, | |
512, | |
512 | |
], | |
"n_labels": 3, | |
"output_activation": "tanh", | |
"pool": true, | |
"res_num_ini": 1, | |
"res_num_max": 3, | |
"unpool": false | |
} | |
``` | |
```json | |
{ | |
"alpha": 0.0001, | |
"batch": 64, | |
"epochs": 500, | |
"epsilon": 1, | |
"input": "(256, 256)", | |
"losses": { | |
"FEAT_ArcFace": { | |
"d": "cosine_similarity", | |
"f": "ArcFace", | |
"name": "FEAT_ArcFace", | |
"reduction": "sum_over_batch_size", | |
"threshold": 0.68, | |
"weight": 0.1 | |
}, | |
"TopIQ": { | |
"full_ref": true, | |
"lower_better": false, | |
"name": "TopIQ", | |
"reduction": "sum_over_batch_size", | |
"score_range": "~0, ~1", | |
"weight": 1 | |
} | |
}, | |
"mixed_precision": true, | |
"optimizer": { | |
"amsgrad": false, | |
"beta_1": 0.9, | |
"beta_2": 0.999, | |
"clipnorm": 1, | |
"clipvalue": null, | |
"ema_momentum": 0.99, | |
"ema_overwrite_frequency": null, | |
"epsilon": 1e-07, | |
"global_clipnorm": null, | |
"gradient_accumulation_steps": null, | |
"learning_rate": 9.999999747378752e-05, | |
"loss_scale_factor": null, | |
"name": "adam", | |
"use_ema": false, | |
"weight_decay": null | |
}, | |
"seed": "BIIIIIGSTRETCH", | |
"testing": 0.01, | |
"training": 0.99 | |
} | |
``` | |
## Model Architecture Plot | |
 |