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14 Commits (f1fa61a48ac0acad94d89ab6d924936059da8c5e)

Author SHA1 Message Date
谢昕辰 a947e3e754
[FIx] Set default `backend_args` values to None (#2597) 
## Motivation

In MMEngine >= 0.2.0, it might directly determine what the backend is by
using the `data_root` path.

## Modification

Set all default `backend_args` values are `None`.
 2023-02-16 15:33:52 +08:00
谢昕辰 124b87ce90
[Refactor] Refactor fileio (#2543) 
## Motivation

Use the new fileio from mmengine
https://github.com/open-mmlab/mmengine/pull/533

## Modification

1. Use `mmengine.fileio` to repalce FileClient  in mmseg/datasets
2. Use `mmengine.fileio` to repalce FileClient in
mmseg/datasets/transforms
3. Use `mmengine.fileio` to repalce FileClient in mmseg/visualization

## BC-breaking (Optional)

we modify all the dataset configurations, so please use the latest config file.
 2023-02-01 17:53:22 +08:00
谢昕辰 da4125587e [Refactor] Support TTA (#2184) 
* tta init

* use mmcv transform

* test city

* add multiscale

* fix merge

* add softmax to post process

* add ut

* add tta pipeline to other datasets

* remove softmax

* add encoder_decoder_tta ut

* add encoder_decoder_tta ut

* rename

* rename file

* rename config

* rm aug_test

* move flip to post process

* fix channel
 2022-12-30 22:52:07 +08:00
xiexinchen.vendor b852f2605a [Fix] Fix RandomResize default setting 2022-07-06 06:04:40 +00:00
linfangjian01 bb0b33dfed [Refactor] Refactor metrics -> iou_metrics 2022-06-20 16:34:18 +08:00
limengzhang.vendor 11493c4851 [Fix] Fix no LoadAnnotations in testpipeline 2022-06-13 05:33:34 +00:00
limengzhang.vendor 34711422ac [Fix] Fix batch size of val_dataloader to 1. 2022-06-12 09:10:26 +00:00
linfangjian.vendor dd9c411335 [Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 14:02:40 +00:00
limengzhang.vendor 6d80312c8f [Fix] Fix DefaultSampler to InfiniteSampler 2022-06-10 13:13:16 +00:00
linfangjian.vendor 02677ac2f8 [Refactor] Refactor evaluation config, clean eval hook and metrics 2022-06-08 08:22:42 +00:00
limengzhang.vendor 5b9c29f992 [Refactor] Refactor Dataset and its Transform Config files 2022-05-31 14:28:42 +00:00
MeowZheng fcb948295c [Enhancement] Revise RandomCrop 2022-05-27 21:52:49 +08:00
linfangjian.vendor f6d3291064 [Refactor] Refactor RandomCrop and PhotoMetricDistortion 2022-05-25 01:58:37 +00:00
MengzhangLI befdc93dc3 [Feature] Support ConvNext (#1216) 
* upload original backbone and configs

* ConvNext Refactor

* ConvNext Refactor

* convnext customization refactor with mmseg style

* convnext customization refactor with mmseg style

* add ade20k_640x640.py

* upload files for training

* delete dist_optimizer_hook and remove layer_decay_optimizer_constructor

* check max(out_indices) < num_stages

* add unittest

* fix lint error

* use MMClassification backbone

* fix bugs in base_1k

* add mmcls in requirements/mminstall.txt

* add mmcls in requirements/mminstall.txt

* fix drop_path_rate and layer_scale_init_value

* use logger.info instead of print

* add mmcls in runtime.txt

* fix f string && delete

* add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements

* fix typo in LearningRateDecayOptimizerConstructor

* use ConvNext models in unit test for LearningRateDecayOptimizerConstructor

* add unit test

* fix typo

* fix typo

* add layer_wise and fix redundant backbone.downsample_norm in it

* fix unit test

* give a ground truth lr_scale and weight_decay

* upload models and readme

* delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer()

* fix unit test and use mmcls url

* update md2yml.py and metafile

* fix typo
 2022-03-04 15:52:01 +08:00