- 31 Aug, 2019 1 commit
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Tianheng Cheng authored
* fix config * rm DS_Store * add 28e * update model url
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- 23 Aug, 2019 1 commit
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Kai Chen authored
* 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
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- 14 Aug, 2019 1 commit
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Tianheng Cheng authored
* update model zoo * update model zoo * update model links * update HRNet README * update HRNet README * remove .DS_Store * update HRNet results * update HRNet results and remove .DS_Store * update FCOS results * update HRFPN to support FCOS * remove blank line * remove blank line * update Modelzoo * update models * update model url * fix typo * fix typo * change name of backbones * add 20e to cascade w18 * update url
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- 22 May, 2019 1 commit
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Tianheng Cheng authored
* support HRNet * add zip * remove zip files * remove zip datasets in config * modify format and shorten lines * fix line to long * support conv_cfg and update conv layer * revise the backbone network and neck * update format and pretrained mode * fix flake8 error * update modules following review suggestions * revert some changes for adapting to pretrained models * update hrnet and hrfpn * remove unused import * remove unused import * finish testing * change pretrained model link to open-mmlab * fix docstring and convert models * update README and model links * modify configs and README * support loss evaluator * update model urls * format hrnet.py * format hrfpn.py * add 20e for cascade config
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