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arcgis_dl_backbones 2.0.1 A brief summary of the item is not available. Add a brief summary about the item.

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Item created: Jun 29, 2022 Item updated: Sep 1, 2023 Number of downloads: 3,689

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Introduction

ArcGIS Pro and ArcGIS API for Python support training of multiple deep learning models, each of which support a number of their own base-models (backbones). The arcgis_dl_backbones conda metapackage provides support to offline users by automatically placing the backbones at the desired location, thereby eliminating the requirement to download backbones from the internet, while training deep learning models using ArcGIS.

Supported backbones:

densenet121, densenet161, densenet169, densenet201

resnet18, resnet34, resnet50, resnet101, resnet152

vgg11, vgg13, vgg16, vgg19

vgg11_bn, vgg13_bn, vgg16_bn, vgg19_bn

mobilenet_v2

inception_v3_google

fasterrcnn_resnet50_fpn_coco

maskrcnn_resnet50_fpn_coco

deeplabv3_resnet101_coco

yolov3.weights

Requirement:

1. Anaconda

Steps to install:

1. Download the current ArcGIS online item.

2. Extract the downloaded zip file.

3. Open the anaconda prompt and move to the folder that contains arcgis_dl_backbones-2.0.1-py_0.tar.bz2

4. Run:

 conda install --offline arcgis_dl_backbones-2.0.1-py_0.tar.bz2

Note: In case of failure of the above installation command you can try the following suggestions:

1. Make sure you are using default python environment.

2. Make sure that arcgis_dl_backbones package is not already installed by running,

             conda list

3. If arcgis_dl_backbones is already installed please uninstall the package first before installing it again,

            conda uninstall arcgis_dl_backbones

4. Remove unused packages and caches by running,

            conda clean --all

Conclusion:

The successful execution of the installation command will place the above-mentioned backbones in the desired location.

For windows: C:\Users\<username>\.cache\torch\hub\checkpoints

For Linux: /home/<username>/.cache/torch/hub/checkpoints

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