DPT Model Card

Table of Contents:

• Load trained model
• Model init parameters
• Model metrics
• Dataset

Load trained model

import segmentation_models_pytorch as smp

model = smp.from_pretrained("<save-directory-or-this-repo>")

Model init parameters

model_init_params = {
    "encoder_name": "tu-vit_large_patch16_384",
    "encoder_depth": 4,
    "encoder_weights": None,
    "feature_dim": 256,
    "in_channels": 3,
    "classes": 150,
    "activation": None,
    "aux_params": None,
    "output_stride": None
}

Model metrics

[More Information Needed]

Dataset

Dataset name: [More Information Needed]

More Information

• Library: https://github.com/qubvel/segmentation_models.pytorch
• Docs: https://smp.readthedocs.io/en/latest/

This model has been pushed to the Hub using the PytorchModelHubMixin