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ConvNeXt port for Detectron2 framework. #43
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The files are located at: object_detection/detectron2. - object_detection/detectron2/models/backbones/config.py - Contains the additional config entries. - add_convnext_config(cfg) to be imported and called in during config build process. - object_detection/detectron2/models/backbones/convnext.py - BACKBONE registery with Detectron2. - Update BACKBONE.NAME to 'build_convnext_fpn_backbone' in config file for using ConvNeXt as backbone. - object_detection/detectron2/models/configs/Base-RCNN-FPN.yaml - Base YAML file(Standard file provided by Detectron2). - object_detection/detectron2/models/configs/convnext_mask_rcnn_fpn_1x.yaml - Final config file to be used by the detectron2 framework to use ConvNeXt along with Faster-RCNN or Mask-RCNN.
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The files are located at: object_detection/detectron2.
Summary of the files modified/added:
object_detection/detectron2/models/backbones/config.pyadd_convnext_config(cfg)to be imported and called during config build process.object_detection/detectron2/models/backbones/convnext.pyBACKBONE.NAMEtobuild_convnext_fpn_backbonein config file for using ConvNeXt as backbone.object_detection/detectron2/models/configs/Base-RCNN-FPN.yamlobject_detection/detectron2/models/configs/convnext_mask_rcnn_fpn_1x.yamlFaster-RCNNorMask-RCNN.I have tested the backbone with standard detectron2 project for training along with Mask-RCNN. As the project already exists at the Detectron2 repository, I only added the required module files to the pull request.
Kindly accept the PR if the changes follow the guidelines and helps in any way. Thanks!.