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Using Tensorflow Object Detection API to detect Waymo open dataset

Shell 0.37% C++ 1.48% Python 70.93% Jupyter Notebook 26.86% Dockerfile 0.04% Starlark 0.33%

waymo-2d-object-detection_z6ut's Introduction

Waymo-2D-Object-Detection


Introduction

This is a repo using tensorflow object detection API to detect Waymo open dataset.
Reference: Tensorflow Docs


Requirements

Details are in the notebook.


Dataset


Label Map

item {
    id: 1
    name: 'vehicle'
}

item {
    id: 2
    name: 'pedestrian'
}

item {
    id: 4
    name: 'cyclist'
}

Preprocess

Filter out lidar informations and leverage bounding boxes of:

FRONT, FRONT_LEFT, FRONT_RIGHT, SIDE_LEFT, SIDE_RIGHT cameras.


Train and Evaluate

Fine tune models pre-trained on COCO dataset.

Train and evaluate at the same time and save the best model checkpoint during training.


Results

CenterNet

Taiwan Street

Waymo Image

SSD ResNet

Taiwan Street

Waymo Image

waymo-2d-object-detection_z6ut's People

Contributors

sek788432 avatar trellixvulnteam avatar

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