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
Description
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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ID: ad8ecd2a45af4e3282a4d9ff455024be
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