| # TADNE sample images | |
| Images generated by the [TADNE model](https://huggingface.co/hysts/TADNE). | |
| ## Note | |
| - `prediction_results/anime-face-detector` | |
| - https://github.com/hysts/anime-face-detector | |
| - YOLOv3 + HRNetV2 | |
| - `prediction_results/deepdanbooru` | |
| - https://github.com/KichangKim/DeepDanbooru | |
| - `model-resnet_custom_v3.h5` | |
| - `prediction_results/deepdanbooru/intermediate_features` | |
| - Output by the following model | |
| - 4096-dim | |
| ```python | |
| def create_model() -> tf.keras.Model: | |
| path = huggingface_hub.hf_hub_download('hysts/DeepDanbooru', | |
| 'model-resnet_custom_v3.h5', | |
| use_auth_token=TOKEN) | |
| model = tf.keras.models.load_model(path) | |
| model = tf.keras.Model(model.input, model.layers[-4].output) | |
| layer = tf.keras.layers.GlobalAveragePooling2D() | |
| model = tf.keras.Sequential([model, layer]) | |
| return model | |
| ``` | |