在线时间:8:00-16:00
迪恩网络APP
随时随地掌握行业动态
扫描二维码
关注迪恩网络微信公众号
开源软件名称(OpenSource Name):meteorshowers/X-StereoLab开源软件地址(OpenSource Url):https://github.com/meteorshowers/X-StereoLab开源编程语言(OpenSource Language):Python 69.2%开源软件介绍(OpenSource Introduction):X-StereoLab is an open source stereo matching and stereo 3D object detection toolbox based on PyTorch.News: We released the codebase v0.0.0.
RequirementsAll the codes are tested in the following environment:
Installation(1) Clone this repository.
(2) Setup Python environment.
Data Preparation(1) Please download the KITTI dataset.
Multi-GPU TrainingThe training scripts support multi-processing distributed training, which is much faster than the typical PyTorch DataParallel interface.
The training models, configuration and logs will be saved in the model folder. To load some pretrained model, you can run
If you want to continue training from some epochs, just set the cfg, loadmodel and start_epoch to the respective model path. Besides, you can start a tensorboard session by
and visualize your training process by accessing https://localhost:6666 on your browser. Inference and Evaluationon working ... stereo matching Performance and Model Zoo
stereo 3D detection Performance and Model ZooPLUME: Efficient 3D Object Detection from Stereo Images
Video DemoWe provide a video demo for showing the result of X-StereoLab. Here we show the predicted disparity map of activastereonet. TODO List
CitationsIf you find our work useful in your research, please consider citing:
Others contributors
Acknowledgment
LicenseThe code is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License for NonCommercial use only. Any commercial use should get formal permission first. ContactIf you have any questions or suggestions about this repo, please feel free to contact me ([email protected]). Wechat:
|
2023-10-27
2022-08-15
2022-08-17
2022-09-23
2022-08-13
请发表评论