Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

Last update: Nov 17, 2022

Related tags

Overview

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV2021)

Paper Link: https://arxiv.org/abs/2107.11355

This implementation builds on top of OpenPCDet. Please kindly refer to its Github repo for introduction and recent updates.

Installation

a. Set up the environment:

Python 3.6+ (3.7 suggested)
Pytorch 1.1+ (1.3 suggested)

b. Clone this repository.

c. Install requirements

pip install -r requirements.txt

d. Install the pcdet library:

python setup.py develop

e. Data preparation

Please refer to GETTING_STARTED.md for data preparation and basic usage of pcdet .

Training and Testing

a. Train a base model on the source domain (KITTI) as the pretrained model for domain adaptation

cd tools/

sh scripts/dist_train.sh ${NUM_GPUS} --cfg_file cfgs/kitti_models/pointrcnn.yaml

# or using slurm
sh scripts/slurm_train.sh ${PARTITION} ${JOB_NAME} ${NUM_GPUS} --cfg_file cfgs/kitti_models/pointrcnn.yaml

b. Train the domain adaptation model

sh scripts/dist_train_mean_teacher.sh ${NUM_GPUS} \
--cfg_file cfgs/kitti_models/pointrcnn_mean_teacher_waymo.yaml \
--pretrained_model ${PATH_TO_PRETRAINED_MODEL_CHECKPOINT}

# or using slurm
sh scripts/slurm_train_mean_teacher.sh ${PARTITION} ${JOB_NAME} ${NUM_GPUS} \
--cfg_file cfgs/kitti_models/pointrcnn_mean_teacher_waymo.yaml \
--pretrained_model ${PATH_TO_PRETRAINED_MODEL_CHECKPOINT}

c. Test on the target domain (Waymo)

python test.py --cfg_file cfgs/waymo_models/pointrcnn_kitti2waymo.yaml \
--ckpt ${PATH_TO_MODEL_CHECKPOINT}

Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

Related tags

Overview

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV2021)

Installation

Training and Testing

Owner

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Dilated RNNs in pytorch

Classification of ecg datas for disease detection

Jremesh-tools - Blender addon for quad remeshing

Code for Multinomial Diffusion

Spatial Single-Cell Analysis Toolkit

Enabling dynamic analysis of Legacy Embedded Systems in full emulated environment

Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

Repo for the ACMMM20 submission: "Personalized breath based biometric authentication with wearable multimodality".

FairyTailor: Multimodal Generative Framework for Storytelling

Comp445 project - Data Communications & Computer Networks

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

Python code for loading the Aschaffenburg Pose Dataset.

Source code for paper "ATP: AMRize Than Parse! Enhancing AMR Parsing with PseudoAMRs" @NAACL-2022

This is a repository of our model for weakly-supervised video dense anticipation.

Video-based open-world segmentation

Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).

I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Real life contra a deep learning project built using mediapipe and openc