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Unverified Commit a97fc87b authored by Jintao Lin's avatar Jintao Lin Committed by GitHub
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[Docs] Add modelzoo statistics and polish docs (#201) 

* add model stastics

* add model stastics and polish docs

* add model stastics and polish docs

* fix

* chmod +x stat.py
parent 20b163a4
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Inline Side-by-side
Showing with 104 additions and 57 deletions
data/lyft/test.txt
View file @ a97fc87b
...@@ -215,4 +215,4 @@ host-a009-lidar0-1236017846098562856-1236017870998139586 ...@@ -215,4 +215,4 @@ host-a009-lidar0-1236017846098562856-1236017870998139586
host-a004-lidar0-1233521339297626996-1233521364198425656 host-a004-lidar0-1233521339297626996-1233521364198425656
host-a011-lidar0-1233962379199267906-1233962404098719666 host-a011-lidar0-1233962379199267906-1233962404098719666
host-a007-lidar0-1234043217198181466-1234043242098437196 host-a007-lidar0-1234043217198181466-1234043242098437196
host-a007-lidar0-1233952679199347706-1233952704098573316 host-a007-lidar0-1233952679199347706-1233952704098573316
\ No newline at end of file
data/lyft/train.txt
View file @ a97fc87b
...@@ -147,4 +147,4 @@ host-a011-lidar0-1232837612197878316-1232837637099721996 ...@@ -147,4 +147,4 @@ host-a011-lidar0-1232837612197878316-1232837637099721996
host-a101-lidar0-1241462203298815998-1241462228198805706 host-a101-lidar0-1241462203298815998-1241462228198805706
host-a009-lidar0-1236014648198307196-1236014673098985906 host-a009-lidar0-1236014648198307196-1236014673098985906
host-a007-lidar0-1233956183198377616-1233956208098469296 host-a007-lidar0-1233956183198377616-1233956208098469296
host-a004-lidar0-1232817645198462196-1232817670098101226 host-a004-lidar0-1232817645198462196-1232817670098101226
\ No newline at end of file
data/lyft/val.txt
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...@@ -27,4 +27,4 @@ host-a102-lidar0-1242755350298764586-1242755375198787666 ...@@ -27,4 +27,4 @@ host-a102-lidar0-1242755350298764586-1242755375198787666
host-a101-lidar0-1240877587199107226-1240877612099413030 host-a101-lidar0-1240877587199107226-1240877612099413030
host-a101-lidar0-1242583745399163026-1242583770298821706 host-a101-lidar0-1242583745399163026-1242583770298821706
host-a011-lidar0-1232817034199342856-1232817059098800346 host-a011-lidar0-1232817034199342856-1232817059098800346
host-a004-lidar0-1232905117299287546-1232905142198246226 host-a004-lidar0-1232905117299287546-1232905142198246226
\ No newline at end of file
docs/conf.py
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...@@ -11,6 +11,7 @@ ...@@ -11,6 +11,7 @@
# documentation root, use os.path.abspath to make it absolute, like shown here. # documentation root, use os.path.abspath to make it absolute, like shown here.
# #
import os import os
import subprocess
import sys import sys
from m2r import MdInclude from m2r import MdInclude
from recommonmark.transform import AutoStructify from recommonmark.transform import AutoStructify
...@@ -87,7 +88,12 @@ html_theme = 'sphinx_rtd_theme' ...@@ -87,7 +88,12 @@ html_theme = 'sphinx_rtd_theme'
html_static_path = ['_static'] html_static_path = ['_static']
def builder_inited_handler(app):
subprocess.run(['./stat.py'])
def setup(app): def setup(app):
app.connect('builder-inited', builder_inited_handler)
app.add_config_value('no_underscore_emphasis', False, 'env') app.add_config_value('no_underscore_emphasis', False, 'env')
app.add_config_value('m2r_parse_relative_links', False, 'env') app.add_config_value('m2r_parse_relative_links', False, 'env')
app.add_config_value('m2r_anonymous_references', False, 'env') app.add_config_value('m2r_anonymous_references', False, 'env')
......
docs/make.bat
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@ECHO OFF @ECHO OFF
pushd %~dp0 pushd %~dp0
REM Command file for Sphinx documentation REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" ( if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build set SPHINXBUILD=sphinx-build
) )
set SOURCEDIR=. set SOURCEDIR=.
set BUILDDIR=_build set BUILDDIR=_build
if "%1" == "" goto help if "%1" == "" goto help
%SPHINXBUILD% >NUL 2>NUL %SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 ( if errorlevel 9009 (
echo. echo.
echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
echo.installed, then set the SPHINXBUILD environment variable to point echo.installed, then set the SPHINXBUILD environment variable to point
echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.to the full path of the 'sphinx-build' executable. Alternatively you
echo.may add the Sphinx directory to PATH. echo.may add the Sphinx directory to PATH.
echo. echo.
echo.If you don't have Sphinx installed, grab it from echo.If you don't have Sphinx installed, grab it from
echo.http://sphinx-doc.org/ echo.http://sphinx-doc.org/
exit /b 1 exit /b 1
) )
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
goto end goto end
:help :help
%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
:end :end
popd popd
docs/stat.py 0 → 100755
View file @ a97fc87b
#!/usr/bin/env python
import glob
import re
from os import path as osp
url_prefix = 'https://github.com/open-mmlab/mmdetection3d/blob/master/'
files = sorted(glob.glob('../configs/*/README.md'))
stats = []
titles = []
num_ckpts = 0
for f in files:
url = osp.dirname(f.replace('../', url_prefix))
with open(f, 'r') as content_file:
content = content_file.read()
title = content.split('\n')[0].replace('#', '')
titles.append(title)
ckpts = set(x.lower().strip()
for x in re.findall(r'https?://download.*\.pth', content)
if 'mmdetection3d' in x)
num_ckpts += len(ckpts)
statsmsg = f"""
\t* [{title}]({url}) ({len(ckpts)} ckpts)
"""
stats.append((title, ckpts, statsmsg))
msglist = '\n'.join(x for _, _, x in stats)
modelzoo = f"""
\n## Model Zoo Statistics
* Number of papers: {len(titles)}
* Number of checkpoints: {num_ckpts}
{msglist}
"""
with open('model_zoo.md', 'a') as f:
f.write(modelzoo)
mmdet3d/models/detectors/two_stage.py
View file @ a97fc87b
...@@ -7,8 +7,8 @@ class TwoStage3DDetector(Base3DDetector, TwoStageDetector): ...@@ -7,8 +7,8 @@ class TwoStage3DDetector(Base3DDetector, TwoStageDetector):
"""Base class of two-stage 3D detector. """Base class of two-stage 3D detector.
It inherits original ``:class:TwoStageDetector`` and It inherits original ``:class:TwoStageDetector`` and
``:class:Base3DDetector``. This class could serve as a base class ``:class:Base3DDetector``. This class could serve as a base class for all
for all two-stage 3D detectors. two-stage 3D detectors.
""" """
def __init__(self, **kwargs): def __init__(self, **kwargs):
......
mmdet3d/models/roi_heads/base_3droi_head.py
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...@@ -93,7 +93,7 @@ class Base3DRoIHead(nn.Module, metaclass=ABCMeta): ...@@ -93,7 +93,7 @@ class Base3DRoIHead(nn.Module, metaclass=ABCMeta):
def aug_test(self, x, proposal_list, img_metas, rescale=False, **kwargs): def aug_test(self, x, proposal_list, img_metas, rescale=False, **kwargs):
"""Test with augmentations. """Test with augmentations.
If rescale is False, then returned bboxes and masks will fit the If rescale is False, then returned bboxes and masks will fit the scale
scale of imgs[0]. of imgs[0].
""" """
pass pass
mmdet3d/ops/furthest_point_sample/furthest_point_sample.py
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...@@ -7,8 +7,8 @@ from . import furthest_point_sample_ext ...@@ -7,8 +7,8 @@ from . import furthest_point_sample_ext
class FurthestPointSampling(Function): class FurthestPointSampling(Function):
"""Furthest Point Sampling. """Furthest Point Sampling.
Uses iterative furthest point sampling to select a set of features Uses iterative furthest point sampling to select a set of features whose
whose corresponding points have the furthest distance. corresponding points have the furthest distance.
""" """
@staticmethod @staticmethod
......
mmdet3d/ops/spconv/structure.py
View file @ a97fc87b
...@@ -5,9 +5,8 @@ import torch ...@@ -5,9 +5,8 @@ import torch
def scatter_nd(indices, updates, shape): def scatter_nd(indices, updates, shape):
"""pytorch edition of tensorflow scatter_nd. """pytorch edition of tensorflow scatter_nd.
this function don't contain except handle code. so use this this function don't contain except handle code. so use this carefully when
carefully when indice repeats, don't support repeat add which is indice repeats, don't support repeat add which is supported in tensorflow.
supported in tensorflow.
""" """
ret = torch.zeros(*shape, dtype=updates.dtype, device=updates.device) ret = torch.zeros(*shape, dtype=updates.dtype, device=updates.device)
ndim = indices.shape[-1] ndim = indices.shape[-1]
......
requirements/optional.txt
View file @ a97fc87b
waymo-open-dataset-tf-2-1-0==1.2.0 waymo-open-dataset-tf-2-1-0==1.2.0
tests/data/lyft/v1.01-train/v1.01-train/attribute.json
View file @ a97fc87b
[{"description": "", "token": "f5081f1e5aa941f9d9f727ad186c8db67b916336f975a2f5d65d14ea01ed098f", "name": "object_action_lane_change_right"}, {"token": "1b388c1f5e5149ae173ad3d674e7ad7f1847e213173d14ce5ecf431ad697ca17", "description": "", "name": "object_action_running"}, {"description": "", "token": "17d61007ee69782e0ad8ffa5f8cd4c075f18b4b09e11f0e966bc27026c7929ea", "name": "object_action_lane_change_left"}, {"description": "", "token": "5466ded30df08d7d825412ac907017d6ae00ff19051c63666de3dcc4a535c8cc", "name": "object_action_parked"}, {"description": "", "token": "8b08df37edc70b7327d54b3fbf9e7e5894e1a31a93fe772102ff7598e35d0f91", "name": "object_action_standing"}, {"description": "", "token": "0989569fa372d3192628f37ed14a9eb242089187ee53e890c9094cbe13a6a703", "name": "object_action_right_turn"}, {"token": "fb20c010bc51767ac99f7cecf51e16bff8e14533259b2337c6c7f8a36e621994", "description": "", "name": "object_action_gliding_on_wheels"}, {"description": "", "token": "9f0c089e1d2ee9ba32d38e15e3ba271fb4b905f7fc8bee09488250782356af9e", "name": "object_action_loss_of_control"}, {"token": "fe119c23bb398acdc112c5d3a6ff4bdedc2f6f52d1253fcc2ee049300ed8a774", "description": "", "name": "object_action_u_turn"}, {"token": "9f853fbe56e7d974482d50000ebd07d29ea4ecdc344efdcdf9812de40e41eaf7", "description": "", "name": "object_action_sitting"}, {"description": "", "token": "29177d5bec11b5063bd3066d583a9391891546e8d54655e804f7366e5fc6254d", "name": "object_action_walking"}, {"description": "", "token": "1ba8c9a8bda54423fa710b0af1441d849ecca8ed7b7f9393ba1794afe4aa6aa2", "name": "object_action_stopped"}, {"description": "", "token": "d049e95939be40194b077bb970b0fbeeb732308978c5455e3a8a1095efddd03b", "name": "object_action_left_turn"}, {"token": "b2395906b761701dfca268fa8a9aa2b44f13ff02e19ada1f66d9fabe99e57cd1", "description": "", "name": "object_action_reversing"}, {"description": "", "token": "daf16a3f6499553cc5e1df4a456de5ee46e2e6b06544686d918dfb1ddb088f6f", "name": "is_stationary"}, {"description": "", "token": "7fc1ca3d36808cd1858e9c01ad4e7630ff3ca9e720065034abd244122646acc8", "name": "object_action_driving_straight_forward"}, {"description": "", "token": "8888fd4a06ef74a907cdae0da9d370ad3bf26f96f05f03d8da5d9dbd1e2ab84e", "name": "object_action_abnormal_or_traffic_violation"}, {"token": "ad3510a8b66087839b8deb7610e90972f36a5b79d09b117ace5c211e3dbdbbd5", "description": "", "name": "object_action_other_motion"}] [{"description": "", "token": "f5081f1e5aa941f9d9f727ad186c8db67b916336f975a2f5d65d14ea01ed098f", "name": "object_action_lane_change_right"}, {"token": "1b388c1f5e5149ae173ad3d674e7ad7f1847e213173d14ce5ecf431ad697ca17", "description": "", "name": "object_action_running"}, {"description": "", "token": "17d61007ee69782e0ad8ffa5f8cd4c075f18b4b09e11f0e966bc27026c7929ea", "name": "object_action_lane_change_left"}, {"description": "", "token": "5466ded30df08d7d825412ac907017d6ae00ff19051c63666de3dcc4a535c8cc", "name": "object_action_parked"}, {"description": "", "token": "8b08df37edc70b7327d54b3fbf9e7e5894e1a31a93fe772102ff7598e35d0f91", "name": "object_action_standing"}, {"description": "", "token": "0989569fa372d3192628f37ed14a9eb242089187ee53e890c9094cbe13a6a703", "name": "object_action_right_turn"}, {"token": "fb20c010bc51767ac99f7cecf51e16bff8e14533259b2337c6c7f8a36e621994", "description": "", "name": "object_action_gliding_on_wheels"}, {"description": "", "token": "9f0c089e1d2ee9ba32d38e15e3ba271fb4b905f7fc8bee09488250782356af9e", "name": "object_action_loss_of_control"}, {"token": "fe119c23bb398acdc112c5d3a6ff4bdedc2f6f52d1253fcc2ee049300ed8a774", "description": "", "name": "object_action_u_turn"}, {"token": "9f853fbe56e7d974482d50000ebd07d29ea4ecdc344efdcdf9812de40e41eaf7", "description": "", "name": "object_action_sitting"}, {"description": "", "token": "29177d5bec11b5063bd3066d583a9391891546e8d54655e804f7366e5fc6254d", "name": "object_action_walking"}, {"description": "", "token": "1ba8c9a8bda54423fa710b0af1441d849ecca8ed7b7f9393ba1794afe4aa6aa2", "name": "object_action_stopped"}, {"description": "", "token": "d049e95939be40194b077bb970b0fbeeb732308978c5455e3a8a1095efddd03b", "name": "object_action_left_turn"}, {"token": "b2395906b761701dfca268fa8a9aa2b44f13ff02e19ada1f66d9fabe99e57cd1", "description": "", "name": "object_action_reversing"}, {"description": "", "token": "daf16a3f6499553cc5e1df4a456de5ee46e2e6b06544686d918dfb1ddb088f6f", "name": "is_stationary"}, {"description": "", "token": "7fc1ca3d36808cd1858e9c01ad4e7630ff3ca9e720065034abd244122646acc8", "name": "object_action_driving_straight_forward"}, {"description": "", "token": "8888fd4a06ef74a907cdae0da9d370ad3bf26f96f05f03d8da5d9dbd1e2ab84e", "name": "object_action_abnormal_or_traffic_violation"}, {"token": "ad3510a8b66087839b8deb7610e90972f36a5b79d09b117ace5c211e3dbdbbd5", "description": "", "name": "object_action_other_motion"}]
\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/calibrated_sensor.json
View file @ a97fc87b
[{"sensor_token": "286718e1fbc8c8f0ca441969d91c36a8a809666e049e54ce121636100b520946", "rotation": [-0.533783350160674, 0.4633916642336896, -0.461074459026301, 0.5364269231158916], "camera_intrinsic": [[3962.24093836, 0, 935.362561646], [0.0, 3962.24093836, 444.59525683], [0.0, 0.0, 1.0]], "translation": [1.491748074978969, 0.035422929448341293, 1.5013954883024263], "token": "4f30ede5a14a2644e870ae98a0f140c6c8e2d1507ecb82552ef66cd6fa8819f9"}, {"sensor_token": "8e0259a868ddbfe589c2ce9c8bfb34a9e6c19c108b882c45433c76b70a2491a2", "rotation": [-0.17256200786146647, 0.19034914621455828, 0.6851587528493052, -0.6815768770815164], "camera_intrinsic": [[1110.47829059, 0, 958.905559894], [0.0, 1110.47829059, 536.375069254], [0.0, 0.0, 1.0]], "translation": [1.0367992983909404, -0.32137458078567294, 1.66925674671824], "token": "18908cc236587364dfac3766d0a410ef598e41a417e1cf17e3043bf50b7d600f"}, {"sensor_token": "de29f3ebb9d96988ac2c5913022c3102a51134e950284aac2e8511f83aff9a81", "rotation": [-0.19465537600305863, 0.17397929331162632, -0.6816178799126028, 0.6835477714654212], "camera_intrinsic": [[1108.78210897, 0, 956.879957389], [0.0, 1108.78210897, 536.673966234], [0.0, 0.0, 1.0]], "translation": [1.2869349480170578, -0.3092550353512263, 1.6839893914336566], "token": "be1d17a7d10692b4bfa8f90d19d7511ed4a49e10ff7366a6971c7b1e8f5bc163"}, {"sensor_token": "eb9e8f60a3d6e3328d7512b9f8e6800127fe91f4d62bc8e48a0e6a7cb116cc60", "rotation": [0.5090416344726354, -0.49422295323980653, 0.4930125688749941, -0.5035463174283287], "camera_intrinsic": [[1109.05239567, 0, 957.849065461], [0.0, 1109.05239567, 539.672710373], [0.0, 0.0, 1.0]], "translation": [1.5039405282244198, -0.02676183592864872, 1.6584901808053665], "token": "8e73e320d1fa9e5af96059e6eb1dd7d28e3271dea04de86ead47fa25fd13fd20"}, {"sensor_token": "c84592e22beb2c0f14d5159245ce8d6678431b879e940eed580651c09cc7d2f1", "rotation": [-0.6800931780241828, 0.6845869904959692, 0.19499180879571137, -0.17547682511151053], 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\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/category.json
View file @ a97fc87b
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\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/ego_pose.json
View file @ a97fc87b
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\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/instance.json
View file @ a97fc87b
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\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/log.json
View file @ a97fc87b
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\ No newline at end of file
tests/data/lyft/v1.01-train/v1.01-train/map.json
View file @ a97fc87b
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tests/data/lyft/v1.01-train/v1.01-train/sample.json
View file @ a97fc87b
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tests/data/lyft/v1.01-train/v1.01-train/sample_annotation.json
View file @ a97fc87b
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