MMDetection3D
v0.14.0
Get Started
Prerequisites
Installation
Verification
Model Zoo
Dataset Preparation
Quick Run
Demo
1: Inference and train with existing models and standard datasets
2: Train with customized datasets
Tutorials
Tutorial 1: Learn about Configs
Tutorial 2: Customize Datasets
Tutorial 3: Customize Data Pipelines
Tutorial 4: Customize Models
Tutorial 5: Customize Runtime Settings
Tutorial 6: Waymo Dataset
Useful Tools and Scripts
Log Analysis
Visualization
Model Complexity
Model Conversion
Dataset Conversion
Miscellaneous
Notes
Benchmarks
FAQ
Compatibility with Previous Versions of MMDetection3D
API Reference
API Documentation
MMDetection3D
Docs
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Welcome to MMDetection3D’s documentation!
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Welcome to MMDetection3D’s documentation!
¶
Get Started
Prerequisites
Installation
Install MMDetection3D
Another option: Docker Image
A from-scratch setup script
Using multiple MMDetection3D versions
Verification
Demo
High-level APIs for testing point clouds
Model Zoo
Common settings
Baselines
Model Zoo Statistics
Dataset Preparation
Before Preparation
Download and Data Preparation
Quick Run
Demo
Introduction
Testing
1: Inference and train with existing models and standard datasets
Inference with existing models
Train predefined models on standard datasets
2: Train with customized datasets
Prepare the customized dataset
Prepare a config
Train a new model
Test and inference
Tutorials
Tutorial 1: Learn about Configs
Config File Structure
Config Name Style
Deprecated train_cfg/test_cfg
An example of VoteNet
FAQ
Tutorial 2: Customize Datasets
Support new data format
Customize datasets by dataset wrappers
Modify Dataset Classes
Tutorial 3: Customize Data Pipelines
Design of Data pipelines
Extend and use custom pipelines
Tutorial 4: Customize Models
Develop new components
Tutorial 5: Customize Runtime Settings
Customize optimization settings
Customize training schedules
Customize workflow
Customize hooks
Tutorial 6: Waymo Dataset
Prepare datasets
Training
Evaluation
Testing and make a submission
Useful Tools and Scripts
Log Analysis
Visualization
Results
Dataset
Model Complexity
Model Conversion
RegNet model to MMDetection
Detectron ResNet to Pytorch
Prepare a model for publishing
Dataset Conversion
Miscellaneous
Print the entire config
Notes
Benchmarks
Settings
Main Results
Details of Comparison
FAQ
MMCV/MMDet/MMDet3D Installation
Compatibility with Previous Versions of MMDetection3D
MMDetection3D 0.14.0
MMDetection3D 0.12.0
MMDetection3D 0.6.0
API Reference
API Documentation
mmdet3d.core
anchor
bbox
evaluation
visualizer
voxel
post_processing
mmdet3d.datasets
mmdet3d.models
detectors
backbones
necks
dense_heads
roi_heads
fusion_layers
losses
middle_encoders
model_utils
Indices and tables
¶
Index
Search Page
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v: v0.14.0
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