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NVIDIA
NVIDIA
Transfer Learning Toolkit for Video Streaming Analytics
Container
NVIDIA
NVIDIA
Transfer Learning Toolkit for Video Streaming Analytics

NVIDIA’s Transfer Learning Toolkit is a python-based AI training toolkit that allows developers to train faster and accurate neural networks on the popular deep learning architectures. Create accurate and efficient AI models for Intelligent Video Analytics and Computer Vision without expertise in AI frameworks.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
/bin/bash
03/11/2019 6:26 AM UTC
sha256:6bf2f910596555fbbc5bfc98f70f8912ccd9448e608c2b8ce0d43d8c254e8404COPY
dir:85a6789efe8cb865abb3f2b3c02108e4499b14d9921f4c65a2c749e5b2c7efe8 in tools
03/11/2019 6:26 AM UTC
sha256:83f5e1048a135659c75ea8584af83063e3b54b7a7cc5bfe4fa148f466aad53c1COPY
file:99fdcfdfd8ab726b6607ac579f6ca43d01deeee42c71607dd5ab2117fc2ecddf in /usr/local/lib/python2.7/dist-packages/iva/templates/license.txt
03/11/2019 6:26 AM UTC
sha256:a626bff6a9d607f32b5a6505954db1d8ac6cf32d50ea4582b0ed0b896bf7c9f7COPY
file:99fdcfdfd8ab726b6607ac579f6ca43d01deeee42c71607dd5ab2117fc2ecddf in /usr/local/lib/python2.7/dist-packages/modulus/models/templates/license.txt
03/11/2019 6:26 AM UTC
sha256:163ee8d80dbb6a4cb735c686e7c9d96b65b2a66ba9daeb80a0c8d4db41a1e64dCOPY
file:9ea58cc3488228830454759960765b4eaade0c90272af42787efd10b32fec784 in ./README.md
03/11/2019 6:26 AM UTC
sha256:c416744afa57d99414d36795b4759c0d95ceb59f87ef6519a2826f90b3da4033COPY
dir:87dab87527aa8a379432f13f82e3b8b636ec03d4eaa5713a81bc9dfc31c30ed1 in ./examples
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4WORKDIR
/workspace
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sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NGC_CLI_API_URL=https://api.ngc.nvidia.com
03/11/2019 6:26 AM UTC
sha256:ad685cba4ba1e359c5ddfa072ff0746340ef89b4598317115894ec8e6cb09567COPY
file:161630b97fe52d548f956d20cd117c13e5797e5ba226e394fb795c7a1b0ea779 in /usr/local/bin/tlt-train
03/11/2019 6:26 AM UTC
sha256:6bd931f4ebb35b009eb5488923c15a3cf2ba1098844a2768ec2a37b6ab465747RUN
cd /usr/local/lib/python2.7/dist-packages/ &&
  mkdir maglev &&
  cd maglev &&
  touch __init__.py
03/11/2019 6:26 AM UTC
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