mmdetection3d
3d-multi-resolution-rcnn
mmdetection3d | 3d-multi-resolution-rcnn | |
---|---|---|
3 | 1 | |
4,815 | 25 | |
2.2% | - | |
7.1 | 0.0 | |
12 days ago | over 3 years ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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mmdetection3d
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What's the best model to get monocular 3d angle info
There are bunch of methods in this codebase, check it out. https://github.com/open-mmlab/mmdetection3d
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MMDeploy: Deploy All the Algorithms of OpenMMLab
MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
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Master thesis on autonomous vehicles (cybersecurity aspect)
You create and test the attacks on datasets like Kitti, NuScenes, and many others. Basically you try to manipulate the input to a certain detection pipeline for example (You can find a lot of LiDAR and camera based detection pipelines here: https://github.com/open-mmlab/mmdetection3d and here https://github.com/open-mmlab/mmdetection). You try to manipulate the input so that it deceives the car to do what you need without having control to the car itself.
3d-multi-resolution-rcnn
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3D rcnn
Is this what you're looking for: https://github.com/arthur801031/3d-multi-resolution-rcnn
What are some alternatives?
mmdetection - OpenMMLab Detection Toolbox and Benchmark
nnUNet
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
torchio - Medical imaging toolkit for deep learning
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
autogluon - Fast and Accurate ML in 3 Lines of Code
SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
EPro-PnP - [CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation