3D Object Detection with MMDetection3D

Run 3D object detection using MMDetection3D on Valohai. This example uses the KITTI dataset and demonstrates how to preprocess, train, and test 3D models with Valohai pipelines.

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Overview

This project shows how to:

• Prepare the KITTI dataset for 3D detection

• Train a model using MMDetection3D

• Evaluate the trained model

• Automate the process using a Valohai pipeline

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Steps

1

Dataset Preparation

Set up the KITTI dataset for 3D object detection tasks.

2

Model Training

Use MMDetection3D to train a model on the prepared dataset.

3

Model Evaluation

Assess the performance of the trained model using appropriate metrics.

4

Pipeline Automation

Implement the automation of these steps using a Valohai pipeline.

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GitHub Repository

The repository walks you through how to go through the above steps:

GitHub - valohai/mmdetection3d: OpenMMLab's next-generation platform for general 3D object detection.GitHub