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[Feature] Add results2img, format_results for ade dataset #544
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Codecov Report
@@ Coverage Diff @@
## master #544 +/- ##
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- Coverage 86.76% 86.41% -0.35%
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Files 101 101
Lines 5250 5279 +29
Branches 849 851 +2
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+ Hits 4555 4562 +7
- Misses 535 557 +22
Partials 160 160
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mmseg/datasets/ade.py
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# save seg_logit | ||
if len(result.shape) == 3: | ||
# print(result.shape) | ||
npy_filename = osp.join(imgfile_prefix, f'{basename}.npy') | ||
np.save(npy_filename, result) | ||
result_files.append(npy_filename) | ||
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# save seg_pred | ||
if len(result.shape) == 2: | ||
# print(result.shape) | ||
png_filename = osp.join(imgfile_prefix, f'{basename}.png') | ||
result = result + 1 | ||
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output = Image.fromarray(result.astype(np.uint8)) | ||
output.save(png_filename) | ||
result_files.append(png_filename) |
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We may also support output image.
mmseg/datasets/ade.py
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return result_files | ||
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def format_results(self, results, imgfile_prefix=None, to_label_id=True): | ||
"""Format the results into dir (standard format for Cityscapes |
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incorrect docstring.
* 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; * Re-implement of SETR * Add two head -- SETRUPHead (Naive, PUP) & SETRMLAHead (MLA); * * Modify some docs of heads of SETR; * Add MLA auxiliary head of SETR; * * Modify some arg of setr heads; * Add unit test for setr heads; * * Add 768x768 cityscapes dataset config; * Add Backbone: SETR -- Backbone: MLA, PUP, Naive; * Add SETR cityscapes training & testing config; * * Fix the low code coverage of unit test about heads of setr; * Remove some rebundant error capture; * * Add pascal context dataset & ade20k dataset config; * Modify auxiliary head relative config; * Modify folder structure. * add setr * modify vit * Fix the test_cfg arg position; * Fix some learning schedule bug; * optimize setr code * 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; * Add MLA neck; * Modify setr configs to add MLA neck; * Modify MLA decode head to remove rebundant structure; * Remove some rebundant files. * * Fix the code style bug; * Remove some rebundant files; * Modify some unit tests of SETR; * Ignoring CityscapesCoarseDataset and MapillaryDataset. * Fix the activation function loss bug; * Fix the img_size bug of SETR_PUP_ADE20K * * Fix the lint bug of transformers.py; * Add mla neck unit test; * Convert vit of setr out shape from NLC to NCHW. * * Modify Resize action of data pipeline; * Fix deit related bug; * Set find_unused_parameters=False for pascal context dataset; * Remove arg: find_unused_parameters which is False by default. * Error auxiliary head of PUP deit * Remove the minimal restrict of slide inference. * Modify doc string of Resize * Seperate this part of code to a new PR #544 * * Remove some rebundant codes; * Modify unit tests of SETR heads; * Fix the tuple in_channels of mla_deit. * Modify code style * Move detailed definition of auxiliary head into model config dict; * Add some setr config for default cityscapes.py; * Fix the doc string of SETR head; * Modify implementation of SETR Heads * Remove setr aux head and use fcn head to replace it; * Remove arg: img_size and remove last interpolate op of heads; * Rename arg: conv3x3_conv1x1 to kernel_size of SETRUPHead; * non-square input support for setr heads * Modify config argument for above commits * Remove norm_layer argument of SETRMLAHead * Add mla_align_corners for MLAModule interpolate * [Refactor]Refactor of SETRMLAHead * Modify Head implementation; * Modify Head unit test; * Modify related config file; * [Refactor]MLA Neck * Fix config bug * [Refactor]SETR Naive Head and SETR PUP Head * [Fix]Fix the lack of arg: act_cfg and arg: norm_cfg * Fix config error * Refactor of SETR MLA, Naive, PUP heads. * Modify some attribute name of SETR Heads. * Modify setr configs to adapt new vit code. * Fix trunc_normal_ bug * Parameters init adjustment. * Remove redundant doc string of SETRUPHead * Fix pretrained bug * [Fix] Fix vit init bug * Add some vit unit tests * Modify module import * Remove norm from PatchEmbed * Fix pretrain weights bug * Modify pretrained judge * Fix some gradient backward bugs. * Add some unit tests to improve code cov * Fix init_weights of setr up head * Add DropPath in FFN * Finish benchmark of SETR 1. Add benchmark information into README.MD of SETR; 2. Fix some name bugs of vit; * Remove DropPath implementation and use DropPath from mmcv. * Modify out_indices arg * Fix out_indices bug. * Remove cityscapes base dataset config. Co-authored-by: sennnnn <201730271412@mail.scut.edu.cn> Co-authored-by: CuttlefishXuan <zhaoxinxuan1997@gmail.com>
…#544) * [Feature] Add results2img, format_results for ade dataset. * clean rebundant code.
* 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; * Re-implement of SETR * Add two head -- SETRUPHead (Naive, PUP) & SETRMLAHead (MLA); * * Modify some docs of heads of SETR; * Add MLA auxiliary head of SETR; * * Modify some arg of setr heads; * Add unit test for setr heads; * * Add 768x768 cityscapes dataset config; * Add Backbone: SETR -- Backbone: MLA, PUP, Naive; * Add SETR cityscapes training & testing config; * * Fix the low code coverage of unit test about heads of setr; * Remove some rebundant error capture; * * Add pascal context dataset & ade20k dataset config; * Modify auxiliary head relative config; * Modify folder structure. * add setr * modify vit * Fix the test_cfg arg position; * Fix some learning schedule bug; * optimize setr code * 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; * Add MLA neck; * Modify setr configs to add MLA neck; * Modify MLA decode head to remove rebundant structure; * Remove some rebundant files. * * Fix the code style bug; * Remove some rebundant files; * Modify some unit tests of SETR; * Ignoring CityscapesCoarseDataset and MapillaryDataset. * Fix the activation function loss bug; * Fix the img_size bug of SETR_PUP_ADE20K * * Fix the lint bug of transformers.py; * Add mla neck unit test; * Convert vit of setr out shape from NLC to NCHW. * * Modify Resize action of data pipeline; * Fix deit related bug; * Set find_unused_parameters=False for pascal context dataset; * Remove arg: find_unused_parameters which is False by default. * Error auxiliary head of PUP deit * Remove the minimal restrict of slide inference. * Modify doc string of Resize * Seperate this part of code to a new PR open-mmlab#544 * * Remove some rebundant codes; * Modify unit tests of SETR heads; * Fix the tuple in_channels of mla_deit. * Modify code style * Move detailed definition of auxiliary head into model config dict; * Add some setr config for default cityscapes.py; * Fix the doc string of SETR head; * Modify implementation of SETR Heads * Remove setr aux head and use fcn head to replace it; * Remove arg: img_size and remove last interpolate op of heads; * Rename arg: conv3x3_conv1x1 to kernel_size of SETRUPHead; * non-square input support for setr heads * Modify config argument for above commits * Remove norm_layer argument of SETRMLAHead * Add mla_align_corners for MLAModule interpolate * [Refactor]Refactor of SETRMLAHead * Modify Head implementation; * Modify Head unit test; * Modify related config file; * [Refactor]MLA Neck * Fix config bug * [Refactor]SETR Naive Head and SETR PUP Head * [Fix]Fix the lack of arg: act_cfg and arg: norm_cfg * Fix config error * Refactor of SETR MLA, Naive, PUP heads. * Modify some attribute name of SETR Heads. * Modify setr configs to adapt new vit code. * Fix trunc_normal_ bug * Parameters init adjustment. * Remove redundant doc string of SETRUPHead * Fix pretrained bug * [Fix] Fix vit init bug * Add some vit unit tests * Modify module import * Remove norm from PatchEmbed * Fix pretrain weights bug * Modify pretrained judge * Fix some gradient backward bugs. * Add some unit tests to improve code cov * Fix init_weights of setr up head * Add DropPath in FFN * Finish benchmark of SETR 1. Add benchmark information into README.MD of SETR; 2. Fix some name bugs of vit; * Remove DropPath implementation and use DropPath from mmcv. * Modify out_indices arg * Fix out_indices bug. * Remove cityscapes base dataset config. Co-authored-by: sennnnn <201730271412@mail.scut.edu.cn> Co-authored-by: CuttlefishXuan <zhaoxinxuan1997@gmail.com>
* Update mmcv version dependence * update ci config * update ci config * update ci mmcv install command * fix mmcv version in ci config * pytorch version 1.5.1->1.5.0 in ci config * fix mmcv version range * Update build.yml * Update build.yml * fix torch1.3.0+cu101 install command Co-authored-by: lizz <innerlee@users.noreply.github.com>
* resolve comments * update changelog * fix README doc
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