pytorch-3dunet is a cross-platform package and runs on Windows and OS X as well.InstallationThe easiest way to install pytorch-3dunet package is via conda/mamba: conda install -c conda-forge mamba mamba create -
3D U-Net model for volumetric semantic segmentation written in pytorch - pytorch-3dunet/LICENSE at master · three-san/pytorch-3dunet
exclude:打包的时,排除tests文件packages=find_packages(exclude=["tests"]),version=__version__,# (-V) 包版本---生成egg包的版本号author="Adrian Wolny, Lorenzo Cerrone",url="https://github.com/wolny/pytorch-3dunet",# 程序的官网地址license="MIT",python_requires='>=3.7'# --requires 定义依赖...
3D U-Net model for volumetric semantic segmentation written in pytorch - pytorch-3dunet/tests at master · Gofinge/pytorch-3dunet
master pytorch-3dunet/train.py/ Jump to executable file128 lines (105 sloc)5.63 KB RawBlame importimportlib importtorch importtorch.optimasoptim fromtorch.optim.lr_schedulerimportReduceLROnPlateau fromdatasets.hdf5importget_train_loaders fromunet3d.configimportload_config ...
3D U-Net model for volumetric semantic segmentation written in pytorch - pytorch-3dunet/resources at master · Gofinge/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch - pytorch-3dunet/resources/3DUnet_denoising/train_config_regression.yaml at master · Lycas/pytorch-3dunet
import_module('unet3d.predictor') predictor_class = getattr(m, class_name) return predictor_class(model, loader, output_file, config, **predictor_config) def main(): # Load configuration config = load_config() # Create the model model = get_model(config) # Load model state model_path ...
model_path: "PATH_TO_CHECKPOINT_DIR/best_checkpoint.pytorch" # model configuration model: # model class name: UNet3D # number of input channels to the model in_channels: 1 # number of output channels out_channels: 1 # determines the order of operators in a single layer (gcr - GroupNorm...
3D U-Net model for volumetric semantic segmentation written in pytorch - pytorch-3dunet/resources/3DUnet_multiclass/train_config.yaml at master · three-san/pytorch-3dunet