get-ml-model-retinanet-nvidia
Automatically generated README for this automation recipe: get-ml-model-retinanet-nvidia
Category: AI/ML models
License: Apache 2.0
- CM meta description for this script: _cm.json
- Output cached? True
Reuse this script in your project
Install MLCommons CM automation meta-framework
Pull CM repository with this automation recipe (CM script)
cm pull repo mlcommons@cm4mlops
Print CM help from the command line
cmr "get ml-model nvidia-retinanet nvidia" --help
Run this script
Run this script via CLI
cm run script --tags=get,ml-model,nvidia-retinanet,nvidia[,variations]
Run this script via CLI (alternative)
cmr "get ml-model nvidia-retinanet nvidia [variations]"
Run this script from Python
import cmind
r = cmind.access({'action':'run'
'automation':'script',
'tags':'get,ml-model,nvidia-retinanet,nvidia'
'out':'con',
...
(other input keys for this script)
...
})
if r['return']>0:
print (r['error'])
Run this script via Docker (beta)
cm docker script "get ml-model nvidia-retinanet nvidia[variations]"
Variations
-
No group (any combination of variations can be selected)
Click here to expand this section.
_efficient-nms
- ENV variables:
- CM_NVIDIA_EFFICIENT_NMS:
yes
- CM_NVIDIA_EFFICIENT_NMS:
- ENV variables:
Default environment
These keys can be updated via --env.KEY=VALUE
or env
dictionary in @input.json
or using script flags.
- CM_TORCH_DEVICE:
cpu
Native script being run
No run file exists for Windows
Script output
cmr "get ml-model nvidia-retinanet nvidia [variations]" -j