* Add save_best option in eval_hook.
* Update meta to fix best model can not test bug
* refactor with _do_evaluate
* remove redundent
* add meta
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* Add arg: final_reshape to control if converting output feature information from NLC to NCHW;
* Fix the default value of final_reshape;
* Modify arg: final_reshape to arg: out_shape;
* Fix some unit test bug;
* Adjust vision transformer backbone architectures;
* Add DropPath, trunc_normal_ for VisionTransformer implementation;
* Add class token buring intermediate period and remove it during final period;
* Fix some parameters loss bug;
* * Store intermediate token features and impose no processes on them;
* Remove class token and reshape entire token feature from NLC to NCHW;
* Fix some doc error
* Add a arg for VisionTransformer backbone to control if input class token into transformer;
* Add stochastic depth decay rule for DropPath;
* * Fix output bug when input_cls_token=False;
* Add related unit test;
* * Add arg: out_indices to control model output;
* Add unit test for DropPath;
* Apply suggestions from code review
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* support reading class_weight from file in loss function
* add unit test of loss with class_weight from file
* minor fix
* move get_class_weight to utils
* vit backbone
* fix lint
* add docstrings and fix pretrained pos_embed dim not match prob
* add unittest for vit
* fix lint
* add vit based fcn configs
* fix import error
* support multiple resolution input images
* upsample pos_embed at init_weights
* support resize pos_embed at evaluation
* fix training errors
* add more unitest code for vit backbone
* unitest for uncovered code
* add norm_eval unittest
* refactor _pos_embeding
* minor change
* change var name
* rafactor init_weight
* load weights after resize
* ignore 'module' in pretrain checkpoint
* add with_cp
* add with_cp
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* Add support for Pascal Context 59 classes (#459)
* Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py;
* Set reduce_zero_label=True for train_pipeline and PascalContextDataset59;
* Add some configs for Pascal-Context 59 classes training and testing;
* Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* ignore files and folders named tempxxx;
* Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* Modify the calculation of IoU;
* Modify the CLASSES order of PascalContextDataset;
* Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59;
Add some ignore items in ".gitignore";
* fix the bug "test_cfg specified in both outer field and model field " of pspnet config file;
* * Clean unnecessary codes;
* Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md
* Add command line argument: "-p | --port", this arg can change the transmit port when you transmit data to distributed machine.
* * Remove rebundant config files;
* Remove "-p|--port" command argument;
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* Fix fence(IoU) = 0 when training on PascalContextDataset59;
* Add a test case in test_metrics() of tests/test_metrics.py to test the bug caused by torch.histc;
* Update tests/test_metrics.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* pytorch metrics impl and test
* support list[str] input, delete unused test code and delete numpy version
* modify input data type
* add docstring and unitest of filename inputs
* add indents in docstring and use tempfile lib to create dir
* using with statement
* Support fcn dilate 6
* Support dilate in FCNHead
* configs for cityscapse dataset
* add configs for pytorch pretrained model
* update README
* add fps test results
* add memory test results and links
* modify log names
* Update mmseg/models/decode_heads/fcn_head.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* Support resize data augmentation according to original image size (img_scale=None and retio_range is tuple)
* fix docstring
* fix bug
* add unittest
* img_scale=None in TTA
* fix bug
* add unittest
* fix typos
* fix bug
* add inference test
* fix E501 line too long (81 > 79 characters
* fix wrong config path
* fix num of augmentations (2) != num of image meta (1)
* Update test_inference.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* add dice evaluation metric
* add dice evaluation metric
* add dice evaluation metric
* support 2 metrics
* support 2 metrics
* support 2 metrics
* support 2 metrics
* fix docstring
* use np.round once for all
* Add Pascal Context to mmsegmentation
* Add benchmark result to Pascal Context
* fix mmcv version
* fix code syntax
* fix code syntax again
* Update mmseg/models/segmentors/encoder_decoder.py
update hint
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* update comment
* fix pascal context model path
* fix model path mistake again
* fix model path mistake again
* fix model path mistakes again
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* fix acc and iou compute nan problem
* fix acc and iou compute nan problem
* add nan_to_num args for mean_iou
* add nan_to_num args for mean_iou
* add nan_to_num args for mean_iou
* add nan_to_num args for mean_iou
* add nan_to_num args for mean_iou
* Update mmseg/core/evaluation/mean_iou.py
* Update mean_iou.py
* Update mean_iou.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* Support for custom classes
* Fix test
* Fix pre-commit
* Add pipeline logic for custom classes
* Fix minor issues, fix test
* Fix issues from PR review
* Fix tests
* Remove palette as str
* Rename old_to_new_ids to label_map
* Test for load_anns
* Remove get_palette function
* fixed temp
* Add subset of palette, remove palette as arg
* minor update
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* init commit: fast_scnn
* 247917iters
* 4x8_80k
* configs placed in configs_unify. 4x8_80k exp.running.
* mmseg/utils/collect_env.py modified to support Windows
* study on lr
* bug in configs_unify/***/cityscapes.py fixed.
* lr0.08_100k
* lr_power changed to 1.2
* log_config by_epoch set to False.
* lr1.2
* doc strings added
* add fast_scnn backbone test
* 80k 0.08,0.12
* add 450k
* fast_scnn test: fix BN bug.
* Add different config files into configs/
* .gitignore recovered.
* configs_unify del
* .gitignore recovered.
* delete sub-optimal config files of fast-scnn
* Code style improved.
* add docstrings to component modules of fast-scnn
* relevant files modified according to Jerry's instructions
* relevant files modified according to Jerry's instructions
* lint problems fixed.
* fast_scnn config extremely simplified.
* InvertedResidual
* fixed padding problems
* add unit test for inverted_residual
* add unit test for inverted_residual: debug 0
* add unit test for inverted_residual: debug 1
* add unit test for inverted_residual: debug 2
* add unit test for inverted_residual: debug 3
* add unit test for sep_fcn_head: debug 0
* add unit test for sep_fcn_head: debug 1
* add unit test for sep_fcn_head: debug 2
* add unit test for sep_fcn_head: debug 3
* add unit test for sep_fcn_head: debug 4
* add unit test for sep_fcn_head: debug 5
* FastSCNN type(dwchannels) changed to tuple.
* t changed to expand_ratio.
* Spaces fixed.
* Update mmseg/models/backbones/fast_scnn.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* Update mmseg/models/decode_heads/sep_fcn_head.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* Update mmseg/models/decode_heads/sep_fcn_head.py
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
* Docstrings fixed.
* Docstrings fixed.
* Inverted Residual kept coherent with mmcl.
* Inverted Residual kept coherent with mmcl. Debug 0
* _make_layer parameters renamed.
* final commit
* Arg scale_factor deleted.
* Expand_ratio docstrings updated.
* final commit
* Readme for Fast-SCNN added.
* model-zoo.md modified.
* fast_scnn README updated.
* Move InvertedResidual module into mmseg/utils.
* test_inverted_residual module corrected.
* test_inverted_residual.py moved.
* encoder_decoder modified to avoid bugs when running PSPNet.
getting_started.md bug fixed.
* Revert "encoder_decoder modified to avoid bugs when running PSPNet. "
This reverts commit dd0aadfb
Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
Jerry Jiarui XU
Yinhao Li
sennnnn
谢昕辰
Ziyi Wu
RangiLyu
sshuair
Ziyi Wu
q.yao
lizz
David de la Iglesia Castro
yamengxi
Junjun2016
Youqing Xiaozhua
robin Han
Iago González
Han Hu
Xia Li 李夏
John Zhu
MY_
ycr
Kai Chen