Difference between revisions of "Detectron2"
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(Created page with "Category:SoftwareCategory:Library {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|detectron2}} |{{#vardefine:url|https://github.com/facebookresearch/detectron2}} <!...") |
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Wan-Yen Lo and Ross Girshick}, | Wan-Yen Lo and Ross Girshick}, | ||
title = {Detectron2}, | title = {Detectron2}, | ||
| − | howpublished = {url{https://github.com/facebookresearch/detectron2}, | + | howpublished = {url{https://github.com/facebookresearch/detectron2 }, |
year = {2019} | year = {2019} | ||
Latest revision as of 19:33, 15 July 2021
Description
Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of Detectron and maskrcnn-benchmark. It supports a number of computer vision research projects and production applications in Facebook.
Environment Modules
Run module spider detectron2 to find out what environment modules are available for this application.
System Variables
- HPC_DETECTRON2_DIR - installation directory
- HPC_DETECTRON2_BIN - executable directory
Citation
If you publish research that uses detectron2 you have to cite it as follows:
author = {Yuxin Wu and Alexander Kirillov and Francisco Massa and
Wan-Yen Lo and Ross Girshick},
title = {Detectron2},
howpublished = {url{https://github.com/facebookresearch/detectron2 },
year = {2019}