Github Truonghason Project_3d_object_detection

Example Image

Example Image This is a pytorch implementation of the oftnet network from the paper orthographic feature transform for monocular 3d object detection. the code currently supports training the network from scratch on the kitti dataset intermediate results can be visualised using tensorboard. Truonghason has 11 repositories available. follow their code on github.

GitHub - Peiyunh/wysiwyg: WYSIWYG: Exploiting Visibility For 3D Object Detection, CVPR 2020 (Oral)

GitHub - Peiyunh/wysiwyg: WYSIWYG: Exploiting Visibility For 3D Object Detection, CVPR 2020 (Oral) Contribute to truonghason/3d object detection development by creating an account on github. Contribute to truonghason/project 3d object detection development by creating an account on github. 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. Mmdetection3d is an open source object detection toolbox based on pytorch, towards the next generation platform for general 3d detection. it is a part of the openmmlab project.

GitHub - HoseinNekouei/Object_Detection

GitHub - HoseinNekouei/Object_Detection 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. Mmdetection3d is an open source object detection toolbox based on pytorch, towards the next generation platform for general 3d detection. it is a part of the openmmlab project. Papers, code and datasets about deep learning for 3d object detection. vincentt1999/awesome 3d object detection. Deep learning for 3d object detection this repository serves as a tutorial for training and deploying a 3d object detector using matlab® r2024b r2025a. it guides you through the processes of data processing, labeling, training, and deploying an object detection model. The framework leverages state of the art techniques in computer vision and deep learning to accurately detect objects in 3d space. syed m hussain/3d object detection. A real time 3d object detection system that combines yolov11 for object detection with depth anything v2 for depth estimation to create pseudo 3d bounding boxes and bird's eye view visualization.

GitHub - Nitish312/Object-Detection: AI-based Project Using JavaScript

GitHub - Nitish312/Object-Detection: AI-based Project Using JavaScript Papers, code and datasets about deep learning for 3d object detection. vincentt1999/awesome 3d object detection. Deep learning for 3d object detection this repository serves as a tutorial for training and deploying a 3d object detector using matlab® r2024b r2025a. it guides you through the processes of data processing, labeling, training, and deploying an object detection model. The framework leverages state of the art techniques in computer vision and deep learning to accurately detect objects in 3d space. syed m hussain/3d object detection. A real time 3d object detection system that combines yolov11 for object detection with depth anything v2 for depth estimation to create pseudo 3d bounding boxes and bird's eye view visualization.

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