glean4/unet_spinachcount_taylor_target_res_ft_from_crop_and_weed_20250926

import segmentation_models_pytorch as smp

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

model_init_params = {
    "encoder_name": "resnet34",
    "encoder_depth": 5,
    "encoder_weights": "imagenet",
    "decoder_use_batchnorm": True,
    "decoder_channels": (256, 128, 64, 32, 16),
    "decoder_attention_type": None,
    "in_channels": 3,
    "classes": 2,
    "activation": None,
    "aux_params": None
}