GitLab

Found out that this method is required. The torch.nn.Module doesn't contain this method thus you need to implement it

* define data pipelines

* update two config files

* minor fix for config files

* allow img_scale to be optional and update config

* add some docstrings

* add extra aug to transform

* bug fix for mask resizing

* fix cropping

* add faster rcnn example

* fix imports

* fix robustness testing

* add img_norm_cfg to img_meta

* fix the inference api with the new data pipeline

* fix proposal loading

* delete args of DefaultFormatBundle

* add more configs

* update configs

* bug fix

* add a brief doc

* update gt_labels in RandomCrop

* fix key error for new apis

* bug fix for masks of crowd bboxes

* add argument data_root

* minor fix

* update new hrnet configs

* update docs

* rename MultiscaleFlipAug to MultiScaleFlipAug

* add __repr__ for all transforms

* move DATA_PIPELINE.md to docs/

* fix image url

* add flops counter

* minor fix

* add forward_dummy() for most detectors

* add documentation for some tools

* Inference API support video

* Using mmcv.VideoReader to read video

* modify

* use registry to manage datasets

* bug fix for concat dataset

* update documentation to fit the new api

fix typo

* update some docs

* update the lr adjusting rule

update init_detector() & inference_detector() parameter

* update the high-level inference api

* save classes in meta data and use it for visualization

'mask' option has been removed & replaced with 'segm'

* rewrite multigpu testing with mmddp

* fix an indent

* update slurm testing script

* update readme and scripts