Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:lighthouse
|
| gptkbp:application |
gptkb:Photographer
gptkb:robot augmented reality autonomous driving video surveillance |
| gptkbp:based_on |
gptkb:Detectron
|
| gptkbp:community |
active community
|
| gptkbp:developed_by |
gptkb:Facebook_AI_Research
|
| gptkbp:features |
flexibility
high performance hyperparameter tuning modular design visualization tools evaluation metrics support for custom metrics configurable training pipeline customizable architectures easy-to-use API extensive logging model checkpointing support for custom datasets support for custom layers support for custom losses support for distributed training support for mixed precision training support for various backbones |
| gptkbp:has_documentation |
available online
|
| https://www.w3.org/2000/01/rdf-schema#label |
Detectron2
|
| gptkbp:installation |
pip install detectron2
|
| gptkbp:is_a_framework_for |
gptkb:Py_Torch
|
| gptkbp:is_compatible_with |
gptkb:smartphone
gptkb:operating_system |
| gptkbp:language |
gptkb:Library
|
| gptkbp:license |
Apache License 2.0
|
| gptkbp:performance |
state-of-the-art
|
| gptkbp:provides |
pre-trained models
model zoo |
| gptkbp:release_date |
gptkb:2020
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:supports |
data augmentation
object detection transfer learning real-time inference multi-GPU training instance segmentation custom datasets inference on images inference on videos model exporting panoptic segmentation |
| gptkbp:tutorials |
available online
|
| gptkbp:uses |
gptkb:Faster_R-CNN
gptkb:board_game gptkb:cu_DNN gptkb:CUDA gptkb:Dense_Pose gptkb:Keypoint_R-CNN gptkb:Retina_Net gptkb:Mask_R-CNN Wand B |