MMDetection3D
v0.11.0
Get Started
Prerequisites
Installation
Verification
Model Zoo
Dataset Preparation
Quick Run
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
API Reference
API Documentation
MMDetection3D
Docs
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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
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
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
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: v0.11.0
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