zhangcheng828/MonoDetector
This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS
This project helps perception engineers or researchers in autonomous driving develop and test monocular 3D object detection models. It takes a single 2D image from a camera and outputs precise 3D bounding box predictions (location, dimension, orientation) for objects like cars. This allows for tasks such as environmental perception and obstacle avoidance using only camera data.
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Use this if you are a perception engineer working on autonomous vehicles and need to train, evaluate, or perform inference with state-of-the-art monocular 3D object detection models using only standard camera images.
Not ideal if you need 3D object detection using additional sensor data like LiDAR or radar, or if you are not working within the autonomous driving domain.
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Language
Python
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Last pushed
Mar 15, 2023
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