mirror of https://github.com/open-mmlab/mmcv.git
[Docs] Refactor the api structures of docs (#2254)
* [Docs] Refactor the api structures of docs * refine api structures of docs * Update zh_cn * update branchpull/2302/head
Zaida Zhou
GitHub
parent
c57b8b184b
commit
264e170c23
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@ -68,7 +68,9 @@ instance/
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# Sphinx documentation
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docs/en/_build/
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docs/en/api/generated/
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docs/zh_cn/_build/
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docs/zh_cn/api/generated/
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# PyBuilder
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target/
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@ -4,3 +4,7 @@
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height: 40px;
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width: 85px;
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}
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table.colwidths-auto td {
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width: 50%
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}
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@ -0,0 +1,14 @@
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.. role:: hidden
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:class: hidden-section
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.. currentmodule:: {{ module }}
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{{ name | underline}}
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.. autoclass:: {{ name }}
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:members:
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..
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autogenerated from source/_templates/classtemplate.rst
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note it does not have :inherited-members:
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@ -1,39 +0,0 @@
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image
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------
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.. automodule:: mmcv.image
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:members:
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video
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------
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.. automodule:: mmcv.video
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:members:
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arraymisc
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---------
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.. automodule:: mmcv.arraymisc
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:members:
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visualization
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--------------
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.. automodule:: mmcv.visualization
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:members:
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utils
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-----
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.. automodule:: mmcv.utils
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:members:
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cnn
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----
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.. automodule:: mmcv.cnn
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:members:
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ops
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------
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.. automodule:: mmcv.ops
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:members:
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transforms
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---------
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.. automodule:: mmcv.transforms
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:members:
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@ -0,0 +1,19 @@
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.. role:: hidden
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:class: hidden-section
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mmcv.arraymisc
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===================================
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.. contents:: mmcv.arraymisc
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.arraymisc
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.. autosummary::
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:toctree: generated
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:nosignatures:
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quantize
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dequantize
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@ -0,0 +1,69 @@
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.. role:: hidden
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:class: hidden-section
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mmcv.cnn
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===================================
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.. contents:: mmcv.cnn
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.cnn
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Module
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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ContextBlock
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Conv2d
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Conv3d
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ConvAWS2d
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ConvModule
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ConvTranspose2d
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ConvTranspose3d
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ConvWS2d
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DepthwiseSeparableConvModule
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GeneralizedAttention
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HSigmoid
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HSwish
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Linear
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MaxPool2d
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MaxPool3d
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NonLocal1d
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NonLocal2d
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NonLocal3d
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Scale
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Swish
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Build Function
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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build_activation_layer
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build_conv_layer
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build_norm_layer
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build_padding_layer
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build_plugin_layer
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build_upsample_layer
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Miscellaneous
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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fuse_conv_bn
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conv_ws_2d
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is_norm
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make_res_layer
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make_vgg_layer
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get_model_complexity_info
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@ -0,0 +1,100 @@
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.. role:: hidden
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:class: hidden-section
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mmcv.image
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===================================
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.. contents:: mmcv.image
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.image
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IO
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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imfrombytes
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imread
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imwrite
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use_backend
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Color Space
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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bgr2gray
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bgr2hls
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bgr2hsv
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bgr2rgb
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bgr2ycbcr
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gray2bgr
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gray2rgb
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hls2bgr
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hsv2bgr
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imconvert
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rgb2bgr
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rgb2gray
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rgb2ycbcr
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ycbcr2bgr
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ycbcr2rgb
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Geometric
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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cutout
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imcrop
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imflip
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impad
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impad_to_multiple
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imrescale
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imresize
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imresize_like
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imresize_to_multiple
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imrotate
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imshear
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imtranslate
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rescale_size
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Photometric
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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adjust_brightness
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adjust_color
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adjust_contrast
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adjust_hue
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adjust_lighting
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adjust_sharpness
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auto_contrast
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clahe
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imdenormalize
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imequalize
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iminvert
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imnormalize
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lut_transform
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posterize
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solarize
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Miscellaneous
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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tensor2imgs
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@ -0,0 +1,135 @@
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.. role:: hidden
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:class: hidden-section
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mmcv.ops
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===================================
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.. contents:: mmcv.ops
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.ops
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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BorderAlign
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CARAFE
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CARAFENaive
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CARAFEPack
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Conv2d
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ConvTranspose2d
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CornerPool
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Correlation
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CrissCrossAttention
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DeformConv2d
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DeformConv2dPack
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DeformRoIPool
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DeformRoIPoolPack
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DynamicScatter
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FusedBiasLeakyReLU
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GroupAll
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Linear
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MaskedConv2d
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MaxPool2d
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ModulatedDeformConv2d
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ModulatedDeformConv2dPack
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ModulatedDeformRoIPoolPack
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MultiScaleDeformableAttention
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PSAMask
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PointsSampler
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PrRoIPool
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QueryAndGroup
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RiRoIAlignRotated
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RoIAlign
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RoIAlignRotated
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RoIAwarePool3d
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RoIPointPool3d
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RoIPool
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SAConv2d
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SigmoidFocalLoss
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SimpleRoIAlign
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SoftmaxFocalLoss
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SparseConv2d
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SparseConv3d
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SparseConvTensor
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SparseConvTranspose2d
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SparseConvTranspose3d
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SparseInverseConv2d
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SparseInverseConv3d
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SparseMaxPool2d
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SparseMaxPool3d
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SparseModule
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SparseSequential
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SubMConv2d
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SubMConv3d
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SyncBatchNorm
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TINShift
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Voxelization
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.. autosummary::
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:toctree: generated
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:nosignatures:
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active_rotated_filter
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assign_score_withk
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ball_query
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batched_nms
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bbox_overlaps
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border_align
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box_iou_rotated
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boxes_iou3d
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boxes_iou_bev
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boxes_overlap_bev
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carafe
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carafe_naive
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chamfer_distance
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contour_expand
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convex_giou
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convex_iou
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deform_conv2d
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deform_roi_pool
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diff_iou_rotated_2d
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diff_iou_rotated_3d
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dynamic_scatter
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furthest_point_sample
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furthest_point_sample_with_dist
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fused_bias_leakyrelu
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gather_points
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grouping_operation
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knn
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masked_conv2d
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min_area_polygons
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modulated_deform_conv2d
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nms
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nms3d
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nms3d_normal
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nms_bev
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nms_match
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nms_normal_bev
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nms_rotated
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pixel_group
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point_sample
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points_in_boxes_all
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points_in_boxes_cpu
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points_in_boxes_part
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points_in_polygons
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prroi_pool
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rel_roi_point_to_rel_img_point
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riroi_align_rotated
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roi_align
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roi_align_rotated
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roi_pool
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rotated_feature_align
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scatter_nd
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sigmoid_focal_loss
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soft_nms
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softmax_focal_loss
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three_interpolate
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three_nn
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tin_shift
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upfirdn2d
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voxelization
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.. role:: hidden
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:class: hidden-section
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mmcv.transforms
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===================================
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.. currentmodule:: mmcv.transforms
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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BaseTransform
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Loading
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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LoadAnnotations
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LoadImageFromFile
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Processing
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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CenterCrop
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MultiScaleFlipAug
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Normalize
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Pad
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RandomChoiceResize
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RandomFlip
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RandomGrayscale
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RandomResize
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Resize
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Wrapper
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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Compose
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KeyMapper
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RandomApply
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RandomChoice
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TransformBroadcaster
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.. role:: hidden
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:class: hidden-section
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mmcv.utils
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===================================
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.. contents:: mmcv.utils
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.utils
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.. autosummary::
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:toctree: generated
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:nosignatures:
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IS_CUDA_AVAILABLE
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IS_MLU_AVAILABLE
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IS_MPS_AVAILABLE
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collect_env
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jit
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skip_no_elena
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.. role:: hidden
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:class: hidden-section
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mmcv.video
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===================================
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.. contents:: mmcv.video
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.video
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IO
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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VideoReader
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Cache
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.. autosummary::
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:toctree: generated
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:nosignatures:
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frames2video
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Optical Flow
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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dequantize_flow
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flow_from_bytes
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flow_warp
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flowread
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flowwrite
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quantize_flow
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sparse_flow_from_bytes
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Video Processing
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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concat_video
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convert_video
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cut_video
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resize_video
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.. role:: hidden
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:class: hidden-section
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mmcv.visualization
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===================================
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.. contents:: mmcv.visualization
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:depth: 2
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:local:
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:backlinks: top
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.. currentmodule:: mmcv.visualization
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Color
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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:template: classtemplate.rst
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Color
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.. autosummary::
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:toctree: generated
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:nosignatures:
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color_val
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Image
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----------------
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.. autosummary::
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:toctree: generated
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||||
:nosignatures:
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imshow
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imshow_bboxes
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imshow_det_bboxes
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Optical Flow
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----------------
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.. autosummary::
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:toctree: generated
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:nosignatures:
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flow2rgb
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flowshow
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make_color_wheel
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@ -47,6 +47,8 @@ release = __version__
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extensions = [
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'sphinx.ext.autodoc',
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'sphinx.ext.autosummary',
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'sphinx.ext.intersphinx',
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'sphinx.ext.napoleon',
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'sphinx.ext.viewcode',
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'sphinx_markdown_tables',
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@ -56,6 +58,14 @@ extensions = [
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myst_heading_anchors = 4
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# Configuration for intersphinx
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intersphinx_mapping = {
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'python': ('https://docs.python.org/3', None),
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'numpy': ('https://numpy.org/doc/stable', None),
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'torch': ('https://pytorch.org/docs/stable/', None),
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'mmengine': ('https://mmengine.readthedocs.io/en/latest', None),
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}
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autodoc_mock_imports = ['mmcv._ext', 'mmcv.utils.ext_loader', 'torchvision']
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# Add any paths that contain templates here, relative to this directory.
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|
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@ -0,0 +1,2 @@
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[html writers]
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table_style: colwidths-auto
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|
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@ -38,8 +38,6 @@ You can switch between Chinese and English documents in the lower-left corner of
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|||
compatibility.md
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||||
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||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:caption: FAQ
|
||||
|
||||
faq.md
|
||||
|
||||
|
|
@ -51,10 +49,17 @@ You can switch between Chinese and English documents in the lower-left corner of
|
|||
community/pr.md
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:maxdepth: 1
|
||||
:caption: API Reference
|
||||
|
||||
api.rst
|
||||
mmcv.image <api/image>
|
||||
mmcv.video <api/video>
|
||||
mmcv.visualization <api/visualization>
|
||||
mmcv.cnn <api/cnn>
|
||||
mmcv.ops <api/ops>
|
||||
mmcv.transforms <api/transforms>
|
||||
mmcv.arraymisc <api/arraymisc>
|
||||
mmcv.utils <api/utils>
|
||||
|
||||
Indices and tables
|
||||
==================
|
||||
|
|
|
|||
|
|
@ -4,3 +4,7 @@
|
|||
height: 40px;
|
||||
width: 85px;
|
||||
}
|
||||
|
||||
table.colwidths-auto td {
|
||||
width: 50%
|
||||
}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,14 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
.. currentmodule:: {{ module }}
|
||||
|
||||
|
||||
{{ name | underline}}
|
||||
|
||||
.. autoclass:: {{ name }}
|
||||
:members:
|
||||
|
||||
|
||||
..
|
||||
autogenerated from source/_templates/classtemplate.rst
|
||||
note it does not have :inherited-members:
|
||||
|
|
@ -1,39 +0,0 @@
|
|||
image
|
||||
------
|
||||
.. automodule:: mmcv.image
|
||||
:members:
|
||||
|
||||
video
|
||||
------
|
||||
.. automodule:: mmcv.video
|
||||
:members:
|
||||
|
||||
arraymisc
|
||||
---------
|
||||
.. automodule:: mmcv.arraymisc
|
||||
:members:
|
||||
|
||||
visualization
|
||||
--------------
|
||||
.. automodule:: mmcv.visualization
|
||||
:members:
|
||||
|
||||
utils
|
||||
-----
|
||||
.. automodule:: mmcv.utils
|
||||
:members:
|
||||
|
||||
cnn
|
||||
----
|
||||
.. automodule:: mmcv.cnn
|
||||
:members:
|
||||
|
||||
ops
|
||||
------
|
||||
.. automodule:: mmcv.ops
|
||||
:members:
|
||||
|
||||
transform
|
||||
---------
|
||||
.. automodule:: mmcv.transform
|
||||
:members:
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.arraymisc
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.arraymisc
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.arraymisc
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
quantize
|
||||
dequantize
|
||||
|
|
@ -0,0 +1,69 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.cnn
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.cnn
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.cnn
|
||||
|
||||
Module
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
ContextBlock
|
||||
Conv2d
|
||||
Conv3d
|
||||
ConvAWS2d
|
||||
ConvModule
|
||||
ConvTranspose2d
|
||||
ConvTranspose3d
|
||||
ConvWS2d
|
||||
DepthwiseSeparableConvModule
|
||||
GeneralizedAttention
|
||||
HSigmoid
|
||||
HSwish
|
||||
Linear
|
||||
MaxPool2d
|
||||
MaxPool3d
|
||||
NonLocal1d
|
||||
NonLocal2d
|
||||
NonLocal3d
|
||||
Scale
|
||||
Swish
|
||||
|
||||
Build Function
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
build_activation_layer
|
||||
build_conv_layer
|
||||
build_norm_layer
|
||||
build_padding_layer
|
||||
build_plugin_layer
|
||||
build_upsample_layer
|
||||
|
||||
Miscellaneous
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
fuse_conv_bn
|
||||
conv_ws_2d
|
||||
is_norm
|
||||
make_res_layer
|
||||
make_vgg_layer
|
||||
get_model_complexity_info
|
||||
|
|
@ -0,0 +1,100 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.image
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.image
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.image
|
||||
|
||||
IO
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
imfrombytes
|
||||
imread
|
||||
imwrite
|
||||
use_backend
|
||||
|
||||
Color Space
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
bgr2gray
|
||||
bgr2hls
|
||||
bgr2hsv
|
||||
bgr2rgb
|
||||
bgr2ycbcr
|
||||
gray2bgr
|
||||
gray2rgb
|
||||
hls2bgr
|
||||
hsv2bgr
|
||||
imconvert
|
||||
rgb2bgr
|
||||
rgb2gray
|
||||
rgb2ycbcr
|
||||
ycbcr2bgr
|
||||
ycbcr2rgb
|
||||
|
||||
Geometric
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
cutout
|
||||
imcrop
|
||||
imflip
|
||||
impad
|
||||
impad_to_multiple
|
||||
imrescale
|
||||
imresize
|
||||
imresize_like
|
||||
imresize_to_multiple
|
||||
imrotate
|
||||
imshear
|
||||
imtranslate
|
||||
rescale_size
|
||||
|
||||
Photometric
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
adjust_brightness
|
||||
adjust_color
|
||||
adjust_contrast
|
||||
adjust_hue
|
||||
adjust_lighting
|
||||
adjust_sharpness
|
||||
auto_contrast
|
||||
clahe
|
||||
imdenormalize
|
||||
imequalize
|
||||
iminvert
|
||||
imnormalize
|
||||
lut_transform
|
||||
posterize
|
||||
solarize
|
||||
|
||||
Miscellaneous
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
tensor2imgs
|
||||
|
|
@ -0,0 +1,135 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.ops
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.ops
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.ops
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
BorderAlign
|
||||
CARAFE
|
||||
CARAFENaive
|
||||
CARAFEPack
|
||||
Conv2d
|
||||
ConvTranspose2d
|
||||
CornerPool
|
||||
Correlation
|
||||
CrissCrossAttention
|
||||
DeformConv2d
|
||||
DeformConv2dPack
|
||||
DeformRoIPool
|
||||
DeformRoIPoolPack
|
||||
DynamicScatter
|
||||
FusedBiasLeakyReLU
|
||||
GroupAll
|
||||
Linear
|
||||
MaskedConv2d
|
||||
MaxPool2d
|
||||
ModulatedDeformConv2d
|
||||
ModulatedDeformConv2dPack
|
||||
ModulatedDeformRoIPoolPack
|
||||
MultiScaleDeformableAttention
|
||||
PSAMask
|
||||
PointsSampler
|
||||
PrRoIPool
|
||||
QueryAndGroup
|
||||
RiRoIAlignRotated
|
||||
RoIAlign
|
||||
RoIAlignRotated
|
||||
RoIAwarePool3d
|
||||
RoIPointPool3d
|
||||
RoIPool
|
||||
SAConv2d
|
||||
SigmoidFocalLoss
|
||||
SimpleRoIAlign
|
||||
SoftmaxFocalLoss
|
||||
SparseConv2d
|
||||
SparseConv3d
|
||||
SparseConvTensor
|
||||
SparseConvTranspose2d
|
||||
SparseConvTranspose3d
|
||||
SparseInverseConv2d
|
||||
SparseInverseConv3d
|
||||
SparseMaxPool2d
|
||||
SparseMaxPool3d
|
||||
SparseModule
|
||||
SparseSequential
|
||||
SubMConv2d
|
||||
SubMConv3d
|
||||
SyncBatchNorm
|
||||
TINShift
|
||||
Voxelization
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
active_rotated_filter
|
||||
assign_score_withk
|
||||
ball_query
|
||||
batched_nms
|
||||
bbox_overlaps
|
||||
border_align
|
||||
box_iou_rotated
|
||||
boxes_iou3d
|
||||
boxes_iou_bev
|
||||
boxes_overlap_bev
|
||||
carafe
|
||||
carafe_naive
|
||||
chamfer_distance
|
||||
contour_expand
|
||||
convex_giou
|
||||
convex_iou
|
||||
deform_conv2d
|
||||
deform_roi_pool
|
||||
diff_iou_rotated_2d
|
||||
diff_iou_rotated_3d
|
||||
dynamic_scatter
|
||||
furthest_point_sample
|
||||
furthest_point_sample_with_dist
|
||||
fused_bias_leakyrelu
|
||||
gather_points
|
||||
grouping_operation
|
||||
knn
|
||||
masked_conv2d
|
||||
min_area_polygons
|
||||
modulated_deform_conv2d
|
||||
nms
|
||||
nms3d
|
||||
nms3d_normal
|
||||
nms_bev
|
||||
nms_match
|
||||
nms_normal_bev
|
||||
nms_rotated
|
||||
pixel_group
|
||||
point_sample
|
||||
points_in_boxes_all
|
||||
points_in_boxes_cpu
|
||||
points_in_boxes_part
|
||||
points_in_polygons
|
||||
prroi_pool
|
||||
rel_roi_point_to_rel_img_point
|
||||
riroi_align_rotated
|
||||
roi_align
|
||||
roi_align_rotated
|
||||
roi_pool
|
||||
rotated_feature_align
|
||||
scatter_nd
|
||||
sigmoid_focal_loss
|
||||
soft_nms
|
||||
softmax_focal_loss
|
||||
three_interpolate
|
||||
three_nn
|
||||
tin_shift
|
||||
upfirdn2d
|
||||
voxelization
|
||||
|
|
@ -0,0 +1,57 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.transforms
|
||||
===================================
|
||||
|
||||
.. currentmodule:: mmcv.transforms
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
BaseTransform
|
||||
|
||||
Loading
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
LoadAnnotations
|
||||
LoadImageFromFile
|
||||
|
||||
Processing
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
CenterCrop
|
||||
MultiScaleFlipAug
|
||||
Normalize
|
||||
Pad
|
||||
RandomChoiceResize
|
||||
RandomFlip
|
||||
RandomGrayscale
|
||||
RandomResize
|
||||
Resize
|
||||
|
||||
Wrapper
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
Compose
|
||||
KeyMapper
|
||||
RandomApply
|
||||
RandomChoice
|
||||
TransformBroadcaster
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.utils
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.utils
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.utils
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
IS_CUDA_AVAILABLE
|
||||
IS_MLU_AVAILABLE
|
||||
IS_MPS_AVAILABLE
|
||||
collect_env
|
||||
jit
|
||||
skip_no_elena
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.video
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.video
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.video
|
||||
|
||||
IO
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
VideoReader
|
||||
Cache
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
frames2video
|
||||
|
||||
Optical Flow
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
dequantize_flow
|
||||
flow_from_bytes
|
||||
flow_warp
|
||||
flowread
|
||||
flowwrite
|
||||
quantize_flow
|
||||
sparse_flow_from_bytes
|
||||
|
||||
Video Processing
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
concat_video
|
||||
convert_video
|
||||
cut_video
|
||||
resize_video
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
.. role:: hidden
|
||||
:class: hidden-section
|
||||
|
||||
mmcv.visualization
|
||||
===================================
|
||||
|
||||
.. contents:: mmcv.visualization
|
||||
:depth: 2
|
||||
:local:
|
||||
:backlinks: top
|
||||
|
||||
.. currentmodule:: mmcv.visualization
|
||||
|
||||
Color
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
Color
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
color_val
|
||||
|
||||
Image
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
imshow
|
||||
imshow_bboxes
|
||||
imshow_det_bboxes
|
||||
|
||||
Optical Flow
|
||||
----------------
|
||||
|
||||
.. autosummary::
|
||||
:toctree: generated
|
||||
:nosignatures:
|
||||
|
||||
flow2rgb
|
||||
flowshow
|
||||
make_color_wheel
|
||||
|
|
@ -47,6 +47,8 @@ release = __version__
|
|||
|
||||
extensions = [
|
||||
'sphinx.ext.autodoc',
|
||||
'sphinx.ext.autosummary',
|
||||
'sphinx.ext.intersphinx',
|
||||
'sphinx.ext.napoleon',
|
||||
'sphinx.ext.viewcode',
|
||||
'sphinx.ext.autosectionlabel',
|
||||
|
|
@ -57,6 +59,14 @@ extensions = [
|
|||
|
||||
myst_heading_anchors = 4
|
||||
|
||||
# Configuration for intersphinx
|
||||
intersphinx_mapping = {
|
||||
'python': ('https://docs.python.org/3', None),
|
||||
'numpy': ('https://numpy.org/doc/stable', None),
|
||||
'torch': ('https://pytorch.org/docs/stable/', None),
|
||||
'mmengine': ('https://mmengine.readthedocs.io/en/latest', None),
|
||||
}
|
||||
|
||||
autodoc_mock_imports = ['mmcv._ext', 'mmcv.utils.ext_loader', 'torchvision']
|
||||
autosectionlabel_prefix_document = True
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,2 @@
|
|||
[html writers]
|
||||
table_style: colwidths-auto
|
||||
|
|
@ -33,8 +33,6 @@
|
|||
compatibility.md
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:caption: 常见问题
|
||||
|
||||
faq.md
|
||||
|
||||
|
|
@ -46,10 +44,17 @@
|
|||
community/pr.md
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
:maxdepth: 1
|
||||
:caption: API 文档
|
||||
|
||||
api.rst
|
||||
mmcv.image <api/image>
|
||||
mmcv.video <api/video>
|
||||
mmcv.visualization <api/visualization>
|
||||
mmcv.cnn <api/cnn>
|
||||
mmcv.ops <api/ops>
|
||||
mmcv.transforms <api/transforms>
|
||||
mmcv.arraymisc <api/arraymisc>
|
||||
mmcv.utils <api/utils>
|
||||
|
||||
|
||||
Indices and tables
|
||||
|
|
|
|||
|
|
@ -494,6 +494,7 @@ def impad(img,
|
|||
areas when padding_mode is 'constant'. Default: 0.
|
||||
padding_mode (str): Type of padding. Should be: constant, edge,
|
||||
reflect or symmetric. Default: constant.
|
||||
|
||||
- constant: pads with a constant value, this value is specified
|
||||
with pad_val.
|
||||
- edge: pads with the last value at the edge of the image.
|
||||
|
|
|
|||
|
|
@ -163,10 +163,10 @@ def nms_bev(boxes: Tensor,
|
|||
post_max_size: Optional[int] = None) -> Tensor:
|
||||
"""NMS function GPU implementation (for BEV boxes).
|
||||
|
||||
The overlap of two
|
||||
boxes for IoU calculation is defined as the exact overlapping area of the
|
||||
two boxes. In this function, one can also set ``pre_max_size`` and
|
||||
``post_max_size``.
|
||||
The overlap of two boxes for IoU calculation is defined as the exact
|
||||
overlapping area of the two boxes. In this function, one can also
|
||||
set ``pre_max_size`` and ``post_max_size``.
|
||||
|
||||
Args:
|
||||
boxes (torch.Tensor): Input boxes with the shape of (N, 5)
|
||||
([x1, y1, x2, y2, ry]).
|
||||
|
|
@ -176,6 +176,7 @@ def nms_bev(boxes: Tensor,
|
|||
Default: None.
|
||||
post_max_size (int, optional): Max size of boxes after NMS.
|
||||
Default: None.
|
||||
|
||||
Returns:
|
||||
torch.Tensor: Indexes after NMS.
|
||||
"""
|
||||
|
|
@ -203,14 +204,15 @@ def nms_bev(boxes: Tensor,
|
|||
def nms_normal_bev(boxes: Tensor, scores: Tensor, thresh: float) -> Tensor:
|
||||
"""Normal NMS function GPU implementation (for BEV boxes).
|
||||
|
||||
The overlap of
|
||||
two boxes for IoU calculation is defined as the exact overlapping area of
|
||||
the two boxes WITH their yaw angle set to 0.
|
||||
The overlap of two boxes for IoU calculation is defined as the exact
|
||||
overlapping area of the two boxes WITH their yaw angle set to 0.
|
||||
|
||||
Args:
|
||||
boxes (torch.Tensor): Input boxes with shape (N, 5)
|
||||
([x1, y1, x2, y2, ry]).
|
||||
scores (torch.Tensor): Scores of predicted boxes with shape (N,).
|
||||
thresh (float): Overlap threshold of NMS.
|
||||
|
||||
Returns:
|
||||
torch.Tensor: Remaining indices with scores in descending order.
|
||||
"""
|
||||
|
|
|
|||
|
|
@ -4,6 +4,7 @@ from typing import Dict, List, Optional, Tuple, Union
|
|||
|
||||
|
||||
class BaseTransform(metaclass=ABCMeta):
|
||||
"""Base class for all transformations."""
|
||||
|
||||
def __call__(self,
|
||||
results: Dict) -> Optional[Union[Dict, Tuple[List, List]]]:
|
||||
|
|
|
|||
|
|
@ -27,11 +27,11 @@ class LoadImageFromFile(BaseTransform):
|
|||
to_float32 (bool): Whether to convert the loaded image to a float32
|
||||
numpy array. If set to False, the loaded image is an uint8 array.
|
||||
Defaults to False.
|
||||
color_type (str): The flag argument for :func:``mmcv.imfrombytes``.
|
||||
color_type (str): The flag argument for :func:`mmcv.imfrombytes`.
|
||||
Defaults to 'color'.
|
||||
imdecode_backend (str): The image decoding backend type. The backend
|
||||
argument for :func:``mmcv.imfrombytes``.
|
||||
See :func:``mmcv.imfrombytes`` for details.
|
||||
argument for :func:`mmcv.imfrombytes`.
|
||||
See :func:`mmcv.imfrombytes` for details.
|
||||
Defaults to 'cv2'.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
|
|
@ -57,7 +57,8 @@ class LoadImageFromFile(BaseTransform):
|
|||
"""Functions to load image.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded image and meta information.
|
||||
|
|
@ -165,11 +166,11 @@ class LoadAnnotations(BaseTransform):
|
|||
with_keypoints (bool): Whether to parse and load the keypoints
|
||||
annotation. Defaults to False.
|
||||
imdecode_backend (str): The image decoding backend type. The backend
|
||||
argument for :func:``mmcv.imfrombytes``.
|
||||
See :fun:``mmcv.imfrombytes`` for details.
|
||||
argument for :func:`mmcv.imfrombytes`.
|
||||
See :func:`mmcv.imfrombytes` for details.
|
||||
Defaults to 'cv2'.
|
||||
file_client_args (dict): Arguments to instantiate a FileClient.
|
||||
See :class:``mmengine.fileio.FileClient`` for details.
|
||||
See :class:`mmengine.fileio.FileClient` for details.
|
||||
Defaults to ``dict(backend='disk')``.
|
||||
"""
|
||||
|
||||
|
|
@ -195,7 +196,9 @@ class LoadAnnotations(BaseTransform):
|
|||
"""Private function to load bounding box annotations.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded bounding box annotations.
|
||||
"""
|
||||
|
|
@ -209,7 +212,8 @@ class LoadAnnotations(BaseTransform):
|
|||
"""Private function to load label annotations.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded label annotations.
|
||||
|
|
@ -224,7 +228,8 @@ class LoadAnnotations(BaseTransform):
|
|||
"""Private function to load semantic segmentation annotations.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded semantic segmentation annotations.
|
||||
|
|
@ -239,7 +244,9 @@ class LoadAnnotations(BaseTransform):
|
|||
"""Private function to load keypoints annotations.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded keypoints annotations.
|
||||
"""
|
||||
|
|
@ -253,7 +260,8 @@ class LoadAnnotations(BaseTransform):
|
|||
"""Function to load multiple types annotations.
|
||||
|
||||
Args:
|
||||
results (dict): Result dict from :obj:``mmcv.BaseDataset``.
|
||||
results (dict): Result dict from
|
||||
:class:`mmengine.dataset.BaseDataset`.
|
||||
|
||||
Returns:
|
||||
dict: The dict contains loaded bounding box, label and
|
||||
|
|
|
|||
|
|
@ -301,14 +301,15 @@ class Pad(BaseTransform):
|
|||
None.
|
||||
pad_to_square (bool): Whether to pad the image into a square.
|
||||
Currently only used for YOLOX. Defaults to False.
|
||||
pad_val (Number | dict[str, Number], optional) - Padding value for if
|
||||
the pad_mode is "constant". If it is a single number, the value
|
||||
pad_val (Number | dict[str, Number], optional): Padding value for if
|
||||
the pad_mode is "constant". If it is a single number, the value
|
||||
to pad the image is the number and to pad the semantic
|
||||
segmentation map is 255. If it is a dict, it should have the
|
||||
following keys:
|
||||
|
||||
- img: The value to pad the image.
|
||||
- seg: The value to pad the semantic segmentation map.
|
||||
|
||||
Defaults to dict(img=0, seg=255).
|
||||
padding_mode (str): Type of padding. Should be: constant, edge,
|
||||
reflect or symmetric. Defaults to 'constant'.
|
||||
|
|
@ -987,38 +988,44 @@ class RandomFlip(BaseTransform):
|
|||
keys: flip, flip_direction, img, gt_bboxes, gt_seg_map, and
|
||||
gt_keypoints. There are 3 flip modes:
|
||||
|
||||
- ``prob`` is float, ``direction`` is string: the image will be
|
||||
``direction``ly flipped with probability of ``prob`` .
|
||||
E.g., ``prob=0.5``, ``direction='horizontal'``,
|
||||
then image will be horizontally flipped with probability of 0.5.
|
||||
- ``prob`` is float, ``direction`` is list of string: the image will
|
||||
be ``direction[i]``ly flipped with probability of
|
||||
``prob/len(direction)``.
|
||||
E.g., ``prob=0.5``, ``direction=['horizontal', 'vertical']``,
|
||||
then image will be horizontally flipped with probability of 0.25,
|
||||
vertically with probability of 0.25.
|
||||
- ``prob`` is list of float, ``direction`` is list of string:
|
||||
given ``len(prob) == len(direction)``, the image will
|
||||
be ``direction[i]``ly flipped with probability of ``prob[i]``.
|
||||
E.g., ``prob=[0.3, 0.5]``, ``direction=['horizontal',
|
||||
'vertical']``, then image will be horizontally flipped with
|
||||
probability of 0.3, vertically with probability of 0.5.
|
||||
- ``prob`` is float, ``direction`` is string: the image will be
|
||||
``direction``ly flipped with probability of ``prob`` .
|
||||
E.g., ``prob=0.5``, ``direction='horizontal'``,
|
||||
then image will be horizontally flipped with probability of 0.5.
|
||||
|
||||
- ``prob`` is float, ``direction`` is list of string: the image will
|
||||
be ``direction[i]``ly flipped with probability of
|
||||
``prob/len(direction)``.
|
||||
E.g., ``prob=0.5``, ``direction=['horizontal', 'vertical']``,
|
||||
then image will be horizontally flipped with probability of 0.25,
|
||||
vertically with probability of 0.25.
|
||||
|
||||
- ``prob`` is list of float, ``direction`` is list of string:
|
||||
given ``len(prob) == len(direction)``, the image will
|
||||
be ``direction[i]``ly flipped with probability of ``prob[i]``.
|
||||
E.g., ``prob=[0.3, 0.5]``, ``direction=['horizontal',
|
||||
'vertical']``, then image will be horizontally flipped with
|
||||
probability of 0.3, vertically with probability of 0.5.
|
||||
|
||||
Required Keys:
|
||||
- img
|
||||
- gt_bboxes (optional)
|
||||
- gt_seg_map (optional)
|
||||
- gt_keypoints (optional)
|
||||
|
||||
- img
|
||||
- gt_bboxes (optional)
|
||||
- gt_seg_map (optional)
|
||||
- gt_keypoints (optional)
|
||||
|
||||
Modified Keys:
|
||||
- img
|
||||
- gt_bboxes (optional)
|
||||
- gt_seg_map (optional)
|
||||
- gt_keypoints (optional)
|
||||
|
||||
- img
|
||||
- gt_bboxes (optional)
|
||||
- gt_seg_map (optional)
|
||||
- gt_keypoints (optional)
|
||||
|
||||
Added Keys:
|
||||
- flip
|
||||
- flip_direction
|
||||
|
||||
- flip
|
||||
- flip_direction
|
||||
|
||||
Args:
|
||||
prob (float | list[float], optional): The flipping probability.
|
||||
Defaults to None.
|
||||
|
|
@ -1234,11 +1241,11 @@ class RandomResize(BaseTransform):
|
|||
is for width, and ``ratio_range[1]`` is for height.
|
||||
|
||||
- if ``keep_ratio`` is True, the minimum value of ``target_scale`` will be
|
||||
used to set the shorter side and the maximum value will be used to
|
||||
set the longer side.
|
||||
used to set the shorter side and the maximum value will be used to
|
||||
set the longer side.
|
||||
|
||||
- if ``keep_ratio`` is False, the value of ``target_scale`` will be used to
|
||||
reisze the width and height accordingly.
|
||||
reisze the width and height accordingly.
|
||||
|
||||
Required Keys:
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue