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hysts/TADNE-sample-images

TADNE sample images Images generated by the TADNE model. 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 def create_model() -> tf.keras.Model: path = huggingface_hub.hf_hub_download('hysts/DeepDanbooru'… See the full description on the dataset page: https://huggingface.co/datasets/hysts/TADNE-sample-images.

sourceHugging Faceupdated 4y agoView on Hugging Face

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TADNE sample images

Images generated by the TADNE model.

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