|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:basedOn
|
gptkb:PyTorch
|
|
gptkbp:citation
|
Wu, Yuxin, et al. 'Detectron2.' (2019).
|
|
gptkbp:developedBy
|
gptkb:Facebook_AI_Research
|
|
gptkbp:documentation
|
https://detectron2.readthedocs.io/
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Detectron2
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:openSource
|
true
|
|
gptkbp:platform
|
cross-platform
|
|
gptkbp:purpose
|
computer vision
segmentation
object detection
keypoint detection
panoptic segmentation
|
|
gptkbp:releaseDate
|
2019
|
|
gptkbp:repository
|
https://github.com/facebookresearch/detectron2
|
|
gptkbp:successor
|
gptkb:Detectron
|
|
gptkbp:supports
|
gptkb:RetinaNet
gptkb:DensePose
gptkb:Faster_R-CNN
gptkb:Mask_R-CNN
gptkb:COCO_dataset
gptkb:Cascade_R-CNN
gptkb:Keypoint_R-CNN
gptkb:Cityscapes_dataset
gptkb:Generalized_R-CNN
gptkb:LVIS_dataset
gptkb:Pascal_VOC_dataset
training
inference
distributed training
custom datasets
Tensorboard logging
panoptic FPN
|
|
gptkbp:usedFor
|
research
industry applications
|
|
gptkbp:writtenBy
|
gptkb:Python
gptkb:C++
|
|
gptkbp:bfsParent
|
gptkb:Meta_AI
|
|
gptkbp:bfsLayer
|
5
|