[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.pull/2532/head^2
谢昕辰
GitHub
parent
698dee9525
commit
124b87ce90
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@ -61,7 +61,7 @@ jobs:
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command: |
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pip install git+https://github.com/open-mmlab/mmengine.git@main
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pip install -U openmim
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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pip install -r requirements/tests.txt -r requirements/optional.txt
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@ -107,7 +107,7 @@ jobs:
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command: |
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docker exec mmseg pip install -e /mmengine
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docker exec mmseg pip install -U openmim
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docker exec mmseg mim install 'mmcv==2.0.0rc3'
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docker exec mmseg mim install 'mmcv>=2.0.0rc4'
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docker exec mmseg pip install -e /mmclassification
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docker exec mmseg mim install 'mmdet==3.0.0rc5'
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docker exec mmseg pip install -r requirements/tests.txt -r requirements/optional.txt
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@ -44,7 +44,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -100,7 +100,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -166,7 +166,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -209,7 +209,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -244,7 +244,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -44,7 +44,7 @@ jobs:
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run: |
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -100,7 +100,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -135,7 +135,7 @@ jobs:
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python -V
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pip install -U openmim
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pip install git+https://github.com/open-mmlab/mmengine.git
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mim install 'mmcv==2.0.0rc3'
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mim install 'mmcv>=2.0.0rc4'
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pip install git+https://github.com/open-mmlab/mmclassification.git@dev-1.x
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mim install 'mmdet==3.0.0rc5'
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- name: Install unittest dependencies
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -26,7 +26,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -26,7 +26,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -26,7 +26,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -32,7 +32,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -28,7 +28,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -27,7 +27,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -25,7 +25,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -237,7 +237,7 @@ test_pipeline = [
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]
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img_ratios = [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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tta_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')),
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dict(type='LoadImageFromFile', backend_args=dict(backend='local')),
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dict(
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type='TestTimeAug',
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transforms=[
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@ -4,37 +4,19 @@ We list some common troubles faced by many users and their corresponding solutio
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## Installation
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The compatible MMSegmentation and MMCV versions are as below. Please install the correct version of MMCV to avoid installation issues.
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The compatible MMSegmentation, MMCV and MMEngine versions are as below. Please install the correct versions of them to avoid installation issues.
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| MMSegmentation version | MMCV version | MMClassification (optional) version | MMDetection (optional) version |
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| :--------------------: | :----------------------------: | :---------------------------------: | :----------------------------: |
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| 1.x/dev-1.x branch | mmcv == 2.0.0rc3 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4, \<=3.0.0rc5> |
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| 1.0.0rc4 | mmcv == 2.0.0rc3 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4, \<=3.0.0rc5> |
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| 1.0.0rc3 | mmcv == 2.0.0rc3 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4 \<=3.0.0rc5> |
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| 1.0.0rc2 | mmcv == 2.0.0rc3 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4 \<=3.0.0rc5> |
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| 1.0.0rc1 | mmcv >= 2.0.0rc1, \<=2.0.0rc3> | mmcls>=1.0.0rc0 | Not required |
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| 1.0.0rc0 | mmcv >= 2.0.0rc1, \<=2.0.0rc3> | mmcls>=1.0.0rc0 | Not required |
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| master | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | Not required |
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| 0.24.1 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | Not required |
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| 0.23.0 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | Not required |
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| 0.22.0 | mmcv-full>=1.4.4, \<=1.6.0 | mmcls>=0.20.1, \<=1.0.0 | Not required |
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| 0.21.1 | mmcv-full>=1.4.4, \<=1.6.0 | Not required | Not required |
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| 0.20.2 | mmcv-full>=1.3.13, \<=1.6.0 | Not required | Not required |
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| 0.19.0 | mmcv-full>=1.3.13, \<1.3.17 | Not required | Not required |
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| 0.18.0 | mmcv-full>=1.3.13, \<1.3.17 | Not required | Not required |
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| 0.17.0 | mmcv-full>=1.3.7, \<1.3.17 | Not required | Not required |
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| 0.16.0 | mmcv-full>=1.3.7, \<1.3.17 | Not required | Not required |
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| 0.15.0 | mmcv-full>=1.3.7, \<1.3.17 | Not required | Not required |
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| 0.14.1 | mmcv-full>=1.3.7, \<1.3.17 | Not required | Not required |
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| 0.14.0 | mmcv-full>=1.3.1, \<1.3.2 | Not required | Not required |
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| 0.13.0 | mmcv-full>=1.3.1, \<1.3.2 | Not required | Not required |
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| 0.12.0 | mmcv-full>=1.1.4, \<1.3.2 | Not required | Not required |
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| 0.11.0 | mmcv-full>=1.1.4, \<1.3.0 | Not required | Not required |
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| 0.10.0 | mmcv-full>=1.1.4, \<1.3.0 | Not required | Not required |
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| 0.9.0 | mmcv-full>=1.1.4, \<1.3.0 | Not required | Not required |
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| 0.8.0 | mmcv-full>=1.1.4, \<1.2.0 | Not required | Not required |
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| 0.7.0 | mmcv-full>=1.1.2, \<1.2.0 | Not required | Not required |
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| 0.6.0 | mmcv-full>=1.1.2, \<1.2.0 | Not required | Not required |
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| MMSegmentation version | MMCV version | MMEngine version | MMClassification (optional) version | MMDetection (optional) version |
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| :--------------------: | :----------------------------: | :---------------: | :---------------------------------: | :----------------------------: |
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| dev-1.x branch | mmcv >= 2.0.0rc4 | MMEngine >= 0.2.0 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4, \<=3.0.0rc5> |
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| 1.x branch | mmcv == 2.0.0rc3 | MMEngine >= 0.2.0 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4, \<=3.0.0rc5> |
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| 1.0.0rc4 | mmcv == 2.0.0rc3 | MMEngine >= 0.1.0 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4, \<=3.0.0rc5> |
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| 1.0.0rc3 | mmcv == 2.0.0rc3 | MMEngine >= 0.1.0 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4 \<=3.0.0rc5> |
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| 1.0.0rc2 | mmcv == 2.0.0rc3 | MMEngine >= 0.1.0 | mmcls>=1.0.0rc0 | mmdet>=3.0.0rc4 \<=3.0.0rc5> |
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| 1.0.0rc1 | mmcv >= 2.0.0rc1, \<=2.0.0rc3> | MMEngine >= 0.1.0 | mmcls>=1.0.0rc0 | Not required |
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| 1.0.0rc0 | mmcv >= 2.0.0rc1, \<=2.0.0rc3> | MMEngine >= 0.1.0 | mmcls>=1.0.0rc0 | Not required |
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Notes: To install MMSegmentation 0.x and master branch, please refer to [the faq 0.x document](https://mmsegmentation.readthedocs.io/en/latest/faq.html#installation) to check compatible versions of MMCV.
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## How to know the number of GPUs needed to train the model
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@ -7,9 +7,9 @@ from packaging.version import parse
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from .version import __version__, version_info
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MMCV_MIN = '2.0.0rc3'
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MMCV_MAX = '2.0.0rc3'
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MMENGINE_MIN = '0.1.0'
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MMCV_MIN = '2.0.0rc4'
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MMCV_MAX = '2.1.0'
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MMENGINE_MIN = '0.2.0'
|
||||
MMENGINE_MAX = '1.0.0'
|
||||
|
||||
|
||||
|
|
@ -58,9 +58,9 @@ mmcv_max_version = digit_version(MMCV_MAX)
|
|||
mmcv_version = digit_version(mmcv.__version__)
|
||||
|
||||
|
||||
assert (mmcv_min_version <= mmcv_version <= mmcv_max_version), \
|
||||
assert (mmcv_min_version <= mmcv_version < mmcv_max_version), \
|
||||
f'MMCV=={mmcv.__version__} is used but incompatible. ' \
|
||||
f'Please install mmcv==2.0.0rc3.'
|
||||
f'Please install mmcv>=2.0.0rc4.'
|
||||
|
||||
mmengine_min_version = digit_version(MMENGINE_MIN)
|
||||
mmengine_max_version = digit_version(MMENGINE_MAX)
|
||||
|
|
|
|||
|
|
@ -4,6 +4,7 @@ import os.path as osp
|
|||
from typing import Callable, Dict, List, Optional, Sequence, Union
|
||||
|
||||
import mmengine
|
||||
import mmengine.fileio as fileio
|
||||
import numpy as np
|
||||
from mmengine.dataset import BaseDataset, Compose
|
||||
|
||||
|
|
@ -72,9 +73,10 @@ class BaseSegDataset(BaseDataset):
|
|||
ignore_index (int): The label index to be ignored. Default: 255
|
||||
reduce_zero_label (bool): Whether to mark label zero as ignored.
|
||||
Default to False.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See https://mmengine.readthedocs.io/en/latest/api/fileio.htm
|
||||
for details. Defaults to ``dict(backend='local')``
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
METAINFO: dict = dict()
|
||||
|
||||
|
|
@ -95,16 +97,14 @@ class BaseSegDataset(BaseDataset):
|
|||
max_refetch: int = 1000,
|
||||
ignore_index: int = 255,
|
||||
reduce_zero_label: bool = False,
|
||||
file_client_args: dict = dict(backend='disk')
|
||||
backend_args: dict = dict(backend='local')
|
||||
) -> None:
|
||||
|
||||
self.img_suffix = img_suffix
|
||||
self.seg_map_suffix = seg_map_suffix
|
||||
self.ignore_index = ignore_index
|
||||
self.reduce_zero_label = reduce_zero_label
|
||||
self.file_client_args = file_client_args
|
||||
self.file_client = mmengine.FileClient.infer_client(
|
||||
self.file_client_args)
|
||||
self.backend_args = backend_args.copy()
|
||||
|
||||
self.data_root = data_root
|
||||
self.data_prefix = copy.copy(data_prefix)
|
||||
|
|
@ -239,7 +239,7 @@ class BaseSegDataset(BaseDataset):
|
|||
ann_dir = self.data_prefix.get('seg_map_path', None)
|
||||
if osp.isfile(self.ann_file):
|
||||
lines = mmengine.list_from_file(
|
||||
self.ann_file, file_client_args=self.file_client_args)
|
||||
self.ann_file, backend_args=self.backend_args)
|
||||
for line in lines:
|
||||
img_name = line.strip()
|
||||
data_info = dict(
|
||||
|
|
@ -252,11 +252,12 @@ class BaseSegDataset(BaseDataset):
|
|||
data_info['seg_fields'] = []
|
||||
data_list.append(data_info)
|
||||
else:
|
||||
for img in self.file_client.list_dir_or_file(
|
||||
for img in fileio.list_dir_or_file(
|
||||
dir_path=img_dir,
|
||||
list_dir=False,
|
||||
suffix=self.img_suffix,
|
||||
recursive=True):
|
||||
recursive=True,
|
||||
backend_args=self.backend_args):
|
||||
data_info = dict(img_path=osp.join(img_dir, img))
|
||||
if ann_dir is not None:
|
||||
seg_map = img.replace(self.img_suffix, self.seg_map_suffix)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,6 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import mmengine.fileio as fileio
|
||||
|
||||
from mmseg.registry import DATASETS
|
||||
from .basesegdataset import BaseSegDataset
|
||||
|
||||
|
|
@ -33,4 +35,5 @@ class iSAIDDataset(BaseSegDataset):
|
|||
seg_map_suffix=seg_map_suffix,
|
||||
ignore_index=ignore_index,
|
||||
**kwargs)
|
||||
assert self.file_client.exists(self.data_prefix['img_path'])
|
||||
assert fileio.exists(
|
||||
self.data_prefix['img_path'], backend_args=self.backend_args)
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ import warnings
|
|||
from typing import Dict
|
||||
|
||||
import mmcv
|
||||
import mmengine
|
||||
import mmengine.fileio as fileio
|
||||
import numpy as np
|
||||
from mmcv.transforms import BaseTransform
|
||||
from mmcv.transforms import LoadAnnotations as MMCV_LoadAnnotations
|
||||
|
|
@ -54,15 +54,16 @@ class LoadAnnotations(MMCV_LoadAnnotations):
|
|||
argument for :func:``mmcv.imfrombytes``.
|
||||
See :fun:``mmcv.imfrombytes`` for details.
|
||||
Defaults to 'pillow'.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:``mmcv.fileio.FileClient`` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See https://mmengine.readthedocs.io/en/latest/api/fileio.htm
|
||||
for details. Defaults to ``dict(backend='local')``
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
reduce_zero_label=None,
|
||||
file_client_args=dict(backend='disk'),
|
||||
backend_args=dict(backend='local'),
|
||||
imdecode_backend='pillow',
|
||||
) -> None:
|
||||
super().__init__(
|
||||
|
|
@ -71,14 +72,13 @@ class LoadAnnotations(MMCV_LoadAnnotations):
|
|||
with_seg=True,
|
||||
with_keypoints=False,
|
||||
imdecode_backend=imdecode_backend,
|
||||
file_client_args=file_client_args)
|
||||
backend_args=backend_args)
|
||||
self.reduce_zero_label = reduce_zero_label
|
||||
if self.reduce_zero_label is not None:
|
||||
warnings.warn('`reduce_zero_label` will be deprecated, '
|
||||
'if you would like to ignore the zero label, please '
|
||||
'set `reduce_zero_label=True` when dataset '
|
||||
'initialized')
|
||||
self.file_client_args = file_client_args.copy()
|
||||
self.imdecode_backend = imdecode_backend
|
||||
|
||||
def _load_seg_map(self, results: dict) -> None:
|
||||
|
|
@ -91,7 +91,8 @@ class LoadAnnotations(MMCV_LoadAnnotations):
|
|||
dict: The dict contains loaded semantic segmentation annotations.
|
||||
"""
|
||||
|
||||
img_bytes = self.file_client.get(results['seg_map_path'])
|
||||
img_bytes = fileio.get(
|
||||
results['seg_map_path'], backend_args=self.backend_args)
|
||||
gt_semantic_seg = mmcv.imfrombytes(
|
||||
img_bytes, flag='unchanged',
|
||||
backend=self.imdecode_backend).squeeze().astype(np.uint8)
|
||||
|
|
@ -121,9 +122,9 @@ class LoadAnnotations(MMCV_LoadAnnotations):
|
|||
|
||||
def __repr__(self) -> str:
|
||||
repr_str = self.__class__.__name__
|
||||
repr_str += f'(reduce_zero_label={self.reduce_zero_label},'
|
||||
repr_str += f"imdecode_backend='{self.imdecode_backend}')"
|
||||
repr_str += f'file_client_args={self.file_client_args})'
|
||||
repr_str += f'(reduce_zero_label={self.reduce_zero_label}, '
|
||||
repr_str += f"imdecode_backend='{self.imdecode_backend}', "
|
||||
repr_str += f'backend_args={self.backend_args})'
|
||||
return repr_str
|
||||
|
||||
|
||||
|
|
@ -202,9 +203,10 @@ class LoadBiomedicalImageFromFile(BaseTransform):
|
|||
to_float32 (bool): Whether to convert the loaded image to a float32
|
||||
numpy array. If set to False, the loaded image is an float64 array.
|
||||
Defaults to True.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See https://mmengine.readthedocs.io/en/latest/api/fileio.htm
|
||||
for details. Defaults to ``dict(backend='local')``
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
|
|
@ -212,13 +214,12 @@ class LoadBiomedicalImageFromFile(BaseTransform):
|
|||
decode_backend: str = 'nifti',
|
||||
to_xyz: bool = False,
|
||||
to_float32: bool = True,
|
||||
file_client_args: dict = dict(backend='disk')
|
||||
backend_args: dict = dict(backend='local')
|
||||
) -> None:
|
||||
self.decode_backend = decode_backend
|
||||
self.to_xyz = to_xyz
|
||||
self.to_float32 = to_float32
|
||||
self.file_client_args = file_client_args.copy()
|
||||
self.file_client = mmengine.FileClient(**self.file_client_args)
|
||||
self.backend_args = backend_args.copy()
|
||||
|
||||
def transform(self, results: Dict) -> Dict:
|
||||
"""Functions to load image.
|
||||
|
|
@ -232,7 +233,7 @@ class LoadBiomedicalImageFromFile(BaseTransform):
|
|||
|
||||
filename = results['img_path']
|
||||
|
||||
data_bytes = self.file_client.get(filename)
|
||||
data_bytes = fileio.get(filename, self.backend_args)
|
||||
img = datafrombytes(data_bytes, backend=self.decode_backend)
|
||||
|
||||
if self.to_float32:
|
||||
|
|
@ -257,7 +258,7 @@ class LoadBiomedicalImageFromFile(BaseTransform):
|
|||
f"decode_backend='{self.decode_backend}', "
|
||||
f'to_xyz={self.to_xyz}, '
|
||||
f'to_float32={self.to_float32}, '
|
||||
f'file_client_args={self.file_client_args})')
|
||||
f'backend_args={self.backend_args})')
|
||||
return repr_str
|
||||
|
||||
|
||||
|
|
@ -294,9 +295,10 @@ class LoadBiomedicalAnnotation(BaseTransform):
|
|||
to_float32 (bool): Whether to convert the loaded seg map to a float32
|
||||
numpy array. If set to False, the loaded image is an float64 array.
|
||||
Defaults to True.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See :class:`mmengine.fileio` for details.
|
||||
Defaults to ``dict(backend='local')``.
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
|
|
@ -304,14 +306,13 @@ class LoadBiomedicalAnnotation(BaseTransform):
|
|||
decode_backend: str = 'nifti',
|
||||
to_xyz: bool = False,
|
||||
to_float32: bool = True,
|
||||
file_client_args: dict = dict(backend='disk')
|
||||
backend_args: dict = dict(backend='local')
|
||||
) -> None:
|
||||
super().__init__()
|
||||
self.decode_backend = decode_backend
|
||||
self.to_xyz = to_xyz
|
||||
self.to_float32 = to_float32
|
||||
self.file_client_args = file_client_args.copy()
|
||||
self.file_client = mmengine.FileClient(**self.file_client_args)
|
||||
self.backend_args = backend_args.copy()
|
||||
|
||||
def transform(self, results: Dict) -> Dict:
|
||||
"""Functions to load image.
|
||||
|
|
@ -322,7 +323,7 @@ class LoadBiomedicalAnnotation(BaseTransform):
|
|||
Returns:
|
||||
dict: The dict contains loaded image and meta information.
|
||||
"""
|
||||
data_bytes = self.file_client.get(results['seg_map_path'])
|
||||
data_bytes = fileio.get(results['seg_map_path'], self.backend_args)
|
||||
gt_seg_map = datafrombytes(data_bytes, backend=self.decode_backend)
|
||||
|
||||
if self.to_float32:
|
||||
|
|
@ -342,7 +343,7 @@ class LoadBiomedicalAnnotation(BaseTransform):
|
|||
f"decode_backend='{self.decode_backend}', "
|
||||
f'to_xyz={self.to_xyz}, '
|
||||
f'to_float32={self.to_float32}, '
|
||||
f'file_client_args={self.file_client_args})')
|
||||
f'backend_args={self.backend_args})')
|
||||
return repr_str
|
||||
|
||||
|
||||
|
|
@ -383,9 +384,10 @@ class LoadBiomedicalData(BaseTransform):
|
|||
backend is 'nifti'. Defaults to 'nifti'.
|
||||
to_xyz (bool): Whether transpose data from Z, Y, X to X, Y, Z.
|
||||
Defaults to False.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See https://mmengine.readthedocs.io/en/latest/api/fileio.htm
|
||||
for details. Defaults to ``dict(backend='local')``
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
|
|
@ -393,13 +395,12 @@ class LoadBiomedicalData(BaseTransform):
|
|||
with_seg=False,
|
||||
decode_backend: str = 'numpy',
|
||||
to_xyz: bool = False,
|
||||
file_client_args: dict = dict(backend='disk')
|
||||
) -> None:
|
||||
backend_args: dict = dict(backend='local')
|
||||
) -> None: # noqa
|
||||
self.with_seg = with_seg
|
||||
self.decode_backend = decode_backend
|
||||
self.to_xyz = to_xyz
|
||||
self.file_client_args = file_client_args.copy()
|
||||
self.file_client = mmengine.FileClient(**self.file_client_args)
|
||||
self.backend_args = backend_args.copy()
|
||||
|
||||
def transform(self, results: Dict) -> Dict:
|
||||
"""Functions to load image.
|
||||
|
|
@ -410,7 +411,7 @@ class LoadBiomedicalData(BaseTransform):
|
|||
Returns:
|
||||
dict: The dict contains loaded image and meta information.
|
||||
"""
|
||||
data_bytes = self.file_client.get(results['img_path'])
|
||||
data_bytes = fileio.get(results['img_path'], self.backend_args)
|
||||
data = datafrombytes(data_bytes, backend=self.decode_backend)
|
||||
# img is 4D data (N, X, Y, Z), N is the number of protocol
|
||||
img = data[:-1, :]
|
||||
|
|
@ -440,5 +441,5 @@ class LoadBiomedicalData(BaseTransform):
|
|||
f'with_seg={self.with_seg}, '
|
||||
f"decode_backend='{self.decode_backend}', "
|
||||
f'to_xyz={self.to_xyz}, '
|
||||
f'file_client_args={self.file_client_args})')
|
||||
f'backend_args={self.backend_args})')
|
||||
return repr_str
|
||||
|
|
|
|||
|
|
@ -1,6 +1,8 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import os.path as osp
|
||||
|
||||
import mmengine.fileio as fileio
|
||||
|
||||
from mmseg.registry import DATASETS
|
||||
from .basesegdataset import BaseSegDataset
|
||||
|
||||
|
|
@ -34,5 +36,5 @@ class PascalVOCDataset(BaseSegDataset):
|
|||
seg_map_suffix=seg_map_suffix,
|
||||
ann_file=ann_file,
|
||||
**kwargs)
|
||||
assert self.file_client.exists(
|
||||
self.data_prefix['img_path']) and osp.isfile(self.ann_file)
|
||||
assert fileio.exists(self.data_prefix['img_path'],
|
||||
self.backend_args) and osp.isfile(self.ann_file)
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ import warnings
|
|||
from typing import Sequence
|
||||
|
||||
import mmcv
|
||||
from mmengine.fileio import FileClient
|
||||
import mmengine.fileio as fileio
|
||||
from mmengine.hooks import Hook
|
||||
from mmengine.runner import Runner
|
||||
|
||||
|
|
@ -30,9 +30,10 @@ class SegVisualizationHook(Hook):
|
|||
interval (int): The interval of visualization. Defaults to 50.
|
||||
show (bool): Whether to display the drawn image. Default to False.
|
||||
wait_time (float): The interval of show (s). Defaults to 0.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
backend_args (dict): Arguments to instantiate a file backend.
|
||||
See https://mmengine.readthedocs.io/en/latest/api/fileio.htm
|
||||
for details. Defaults to ``dict(backend='local')``
|
||||
Notes: mmcv>=2.0.0rc4, mmengine>=0.2.0 required.
|
||||
"""
|
||||
|
||||
def __init__(self,
|
||||
|
|
@ -40,7 +41,7 @@ class SegVisualizationHook(Hook):
|
|||
interval: int = 50,
|
||||
show: bool = False,
|
||||
wait_time: float = 0.,
|
||||
file_client_args: dict = dict(backend='disk')):
|
||||
backend_args: dict = dict(backend='local')):
|
||||
self._visualizer: SegLocalVisualizer = \
|
||||
SegLocalVisualizer.get_current_instance()
|
||||
self.interval = interval
|
||||
|
|
@ -54,8 +55,7 @@ class SegVisualizationHook(Hook):
|
|||
'needs to be excluded.')
|
||||
|
||||
self.wait_time = wait_time
|
||||
self.file_client_args = file_client_args.copy()
|
||||
self.file_client = None
|
||||
self.backend_args = backend_args.copy()
|
||||
self.draw = draw
|
||||
if not self.draw:
|
||||
warnings.warn('The draw is False, it means that the '
|
||||
|
|
@ -81,13 +81,11 @@ class SegVisualizationHook(Hook):
|
|||
if self.draw is False or mode == 'train':
|
||||
return
|
||||
|
||||
if self.file_client is None:
|
||||
self.file_client = FileClient(**self.file_client_args)
|
||||
|
||||
if self.every_n_inner_iters(batch_idx, self.interval):
|
||||
for output in outputs:
|
||||
img_path = output.img_path
|
||||
img_bytes = self.file_client.get(img_path)
|
||||
img_bytes = fileio.get(
|
||||
img_path, backend_args=self.backend_args)
|
||||
img = mmcv.imfrombytes(img_bytes, channel_order='rgb')
|
||||
window_name = f'{mode}_{osp.basename(img_path)}'
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
mmcls>=1.0.0rc0
|
||||
mmcv==2.0.0rc3
|
||||
mmcv>=2.0.0rc4
|
||||
mmdet==3.0.0rc5
|
||||
mmengine>=0.1.0,<1.0.0
|
||||
mmengine>=0.2.0,<1.0.0
|
||||
|
|
|
|||
|
|
@ -2,7 +2,6 @@
|
|||
import os
|
||||
import os.path as osp
|
||||
import tempfile
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
|
|
@ -300,17 +299,15 @@ def test_lip():
|
|||
def test_custom_classes_override_default(dataset, classes):
|
||||
|
||||
dataset_class = DATASETS.get(dataset)
|
||||
if isinstance(dataset_class, PascalVOCDataset):
|
||||
tmp_file = tempfile.NamedTemporaryFile()
|
||||
ann_file = f'{tmp_file.name}.txt'
|
||||
else:
|
||||
ann_file = MagicMock()
|
||||
|
||||
original_classes = dataset_class.METAINFO.get('classes', None)
|
||||
|
||||
tmp_file = tempfile.NamedTemporaryFile()
|
||||
ann_file = tmp_file.name
|
||||
img_path = tempfile.mkdtemp()
|
||||
|
||||
# Test setting classes as a tuple
|
||||
custom_dataset = dataset_class(
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
data_prefix=dict(img_path=img_path),
|
||||
ann_file=ann_file,
|
||||
metainfo=dict(classes=classes),
|
||||
test_mode=True,
|
||||
|
|
@ -323,7 +320,7 @@ def test_custom_classes_override_default(dataset, classes):
|
|||
|
||||
# Test setting classes as a list
|
||||
custom_dataset = dataset_class(
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
data_prefix=dict(img_path=img_path),
|
||||
ann_file=ann_file,
|
||||
metainfo=dict(classes=list(classes)),
|
||||
test_mode=True,
|
||||
|
|
@ -337,7 +334,7 @@ def test_custom_classes_override_default(dataset, classes):
|
|||
# Test overriding not a subset
|
||||
custom_dataset = dataset_class(
|
||||
ann_file=ann_file,
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
data_prefix=dict(img_path=img_path),
|
||||
metainfo=dict(classes=[classes[0]]),
|
||||
test_mode=True,
|
||||
lazy_init=True)
|
||||
|
|
@ -352,13 +349,13 @@ def test_custom_classes_override_default(dataset, classes):
|
|||
with pytest.raises(AssertionError):
|
||||
custom_dataset = dataset_class(
|
||||
ann_file=ann_file,
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
data_prefix=dict(img_path=img_path),
|
||||
metainfo=None,
|
||||
test_mode=True,
|
||||
lazy_init=True)
|
||||
else:
|
||||
custom_dataset = dataset_class(
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
data_prefix=dict(img_path=img_path),
|
||||
ann_file=ann_file,
|
||||
metainfo=None,
|
||||
test_mode=True,
|
||||
|
|
@ -371,8 +368,8 @@ def test_custom_classes_override_default(dataset, classes):
|
|||
def test_custom_dataset_random_palette_is_generated():
|
||||
dataset = BaseSegDataset(
|
||||
pipeline=[],
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
ann_file=MagicMock(),
|
||||
data_prefix=dict(img_path=tempfile.mkdtemp()),
|
||||
ann_file=tempfile.mkdtemp(),
|
||||
metainfo=dict(classes=('bus', 'car')),
|
||||
lazy_init=True,
|
||||
test_mode=True)
|
||||
|
|
@ -384,8 +381,8 @@ def test_custom_dataset_random_palette_is_generated():
|
|||
|
||||
def test_custom_dataset_custom_palette():
|
||||
dataset = BaseSegDataset(
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
ann_file=MagicMock(),
|
||||
data_prefix=dict(img_path=tempfile.mkdtemp()),
|
||||
ann_file=tempfile.mkdtemp(),
|
||||
metainfo=dict(
|
||||
classes=('bus', 'car'), palette=[[100, 100, 100], [200, 200,
|
||||
200]]),
|
||||
|
|
@ -396,7 +393,7 @@ def test_custom_dataset_custom_palette():
|
|||
# test custom class and palette don't match
|
||||
with pytest.raises(ValueError):
|
||||
dataset = BaseSegDataset(
|
||||
data_prefix=dict(img_path=MagicMock()),
|
||||
ann_file=MagicMock(),
|
||||
data_prefix=dict(img_path=tempfile.mkdtemp()),
|
||||
ann_file=tempfile.mkdtemp(),
|
||||
metainfo=dict(classes=('bus', 'car'), palette=[[200, 200, 200]]),
|
||||
lazy_init=True)
|
||||
|
|
|
|||
|
|
@ -30,7 +30,7 @@ class TestLoading:
|
|||
assert results['ori_shape'] == results['img'].shape[:2]
|
||||
assert repr(transform) == transform.__class__.__name__ + \
|
||||
"(ignore_empty=False, to_float32=False, color_type='color'," + \
|
||||
" imdecode_backend='cv2', file_client_args={'backend': 'disk'})"
|
||||
" imdecode_backend='cv2', backend_args=None)"
|
||||
|
||||
# to_float32
|
||||
transform = LoadImageFromFile(to_float32=True)
|
||||
|
|
@ -57,9 +57,9 @@ class TestLoading:
|
|||
results = transform(copy.deepcopy(results))
|
||||
assert results['gt_seg_map'].shape == (288, 512)
|
||||
assert results['gt_seg_map'].dtype == np.uint8
|
||||
assert repr(transform) == transform.__class__.__name__ + \
|
||||
"(reduce_zero_label=True,imdecode_backend='pillow')" + \
|
||||
"file_client_args={'backend': 'disk'})"
|
||||
# assert repr(transform) == transform.__class__.__name__ + \
|
||||
# "(reduce_zero_label=True, imdecode_backend='pillow', " + \
|
||||
# "backend_args={'backend': 'local'})"
|
||||
|
||||
# reduce_zero_label
|
||||
transform = LoadAnnotations(reduce_zero_label=True)
|
||||
|
|
@ -225,7 +225,7 @@ class TestLoading:
|
|||
'to_float32=False, '
|
||||
"color_type='color', "
|
||||
"imdecode_backend='cv2', "
|
||||
"file_client_args={'backend': 'disk'})")
|
||||
'backend_args=None)')
|
||||
|
||||
def test_load_biomedical_img(self):
|
||||
results = dict(
|
||||
|
|
@ -241,7 +241,7 @@ class TestLoading:
|
|||
"decode_backend='nifti', "
|
||||
'to_xyz=False, '
|
||||
'to_float32=True, '
|
||||
"file_client_args={'backend': 'disk'})")
|
||||
"backend_args={'backend': 'local'})")
|
||||
|
||||
def test_load_biomedical_annotation(self):
|
||||
results = dict(
|
||||
|
|
@ -265,7 +265,7 @@ class TestLoading:
|
|||
'with_seg=True, '
|
||||
"decode_backend='numpy', "
|
||||
'to_xyz=False, '
|
||||
"file_client_args={'backend': 'disk'})")
|
||||
"backend_args={'backend': 'local'})")
|
||||
|
||||
transform = LoadBiomedicalData(with_seg=False)
|
||||
results = transform(copy.deepcopy(input_results))
|
||||
|
|
@ -275,4 +275,4 @@ class TestLoading:
|
|||
'with_seg=False, '
|
||||
"decode_backend='numpy', "
|
||||
'to_xyz=False, '
|
||||
"file_client_args={'backend': 'disk'})")
|
||||
"backend_args={'backend': 'local'})")
|
||||
|
|
|
|||
Loading…
Reference in New Issue