This portal has been archived. Explore the next generation of this technology.
package:imagenet-2012-aux (v3.0.0)
Please report if this CK component works: 1 ▲
or fails: 0 ▲
Sign up to be notified when artifacts are shared or updated!
This meta package is our attempt to provide a unified Python API, CLI
and JSON meta description
for different package managers and building tools
to automatically download and install different components (models, data sets, libraries, frameworks, tools)
necessary to run portable program pipelines
across evolving platforms.
Our on-going project is to make the onboarding process as simple as possible via this platform.
Please check this CK white paper
and don't hesitate to contact us if you have suggestions or feedback!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!
Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2016-07-07
Source: GitHub
cID: 1dc07ee0f4742028:4e3e9dd897f125bb
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
License: See license in the source repository
Creation date: 2016-07-07
Source: GitHub
cID: 1dc07ee0f4742028:4e3e9dd897f125bb
Description
- Automation framework: CK
- Development repository: ck-ml
- Source: GitHub
- Tags: image-classification,dataset,imagenet,2012,aux,caffe,ilsvrc2012,channel-stable
- Support for host OS: any
- Support for target OS: any
- Version: 2012
- Software detection plugin: dataset.imagenet.aux
- Template: ImageNet dataset (aux)
- How to get the stable version from this portal via the CK client:
pip install cbench
cb download package:imagenet-2012-aux --version=3.0.0 --all
ck install package:imagenet-2012-aux
ck help package
- How to get the development version:
pip install ck
ck pull repo:ck-ml
ck install package:imagenet-2012-aux
ck help package
- Useful CK automation actions (CLI with the Python CK API and JSON IO):
ck show env
ck find env:{ID from above}
ck virtual env:{ID from above}
- CLI and Python API: module:package
- Variations:
- from.berkeley
- from.dividiti
- Useful CK automation actions (CLI with the Python CK API and JSON IO):
Files
- .cm/desc.json (3 bytes)
- .cm/info.json (662 bytes)
- .cm/meta.json (1310 bytes)
- LICENSE.txt (1745 bytes)
- install.bat (1322 bytes)
- install.sh (2242 bytes)
In such case, CK will print the LICENSE.txt and ask a user to accept the license before installing this package?
Any thoughts?
Date: Wed, 11 Dec 2019 21:46:00 -0800 (PST)
From: 'Thai Nguyen' via MLPerf
Reply-To: Thai Nguyen
To: MLPerf
Hi all,
I am contributing to the mlperf mobile app (https://github.com/mlperf/mobile_app).
An existing problem is users have to download and push the Imagenet dataset to the device themselves.
This is due to the Imagenet license (http://image-net.org/download-faq) which does not allow to publicly redistribute the dataset.
However, observing the CK's way of downloading the dataset. I saw that the users just need to run one command:
$ ck install package --tags=image-classification,dataset,imagenet,val,original,full
Look like the users don't need to involve in any license-related thing before downloading the dataset.
I wonder what is the legal (license) basis behind this?
Can I do such similar things to help user get the dataset easier in the app? May be:
- Show a pop-up that display the license
- Let them agree and then download in in the same way as CK
Thanks.
Thai