shotpax.blogg.se

Extract images from unity assets
Extract images from unity assets




extract images from unity assets

In: 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), pp. Huang, Y., Dong, D., Lv, C.: Obtain datasets for self-driving perception from video games automatically. Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks, pp. Hu, Y.T., Wang, J., Yeh, R., Schwing, A.: SAIL-VOS 3D: a synthetic dataset and baselines for object detection and 3D mesh reconstruction from video data, pp. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol.

extract images from unity assets

Hirschmüller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition (2016) Godard, C., Aodha, O.M., Firman, M., Brostow, G.: Digging into self-supervised monocular depth estimation (2018). In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The KITTI vision benchmark suite. Gaidon, A., Wang, Q., Cabon, Y., Vig, E.: Virtual worlds as proxy for multi-object tracking analysis, pp. , ĭosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., Koltun, V.: CARLA: an open urban driving simulator (2017)Įigen, D., Fergus, R.: Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture (2015). ĭeschaud, J.E.: KITTI-carla: a kitti-like dataset generated by CARLA simulator (2021). In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. ĭeng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database.

  • Ĭvišić, I., Marković, I., Petrović, I.: Recalibrating the KITTI dataset camera setup for improved odometry accuracy, pp.
  • Ĭordts, M., et al.: The cityscapes dataset for semantic urban scene understanding (2016). In: IEEE/CVF International Conference on Computer Vision (ICCV), pp.

    extract images from unity assets

    Alhashim, I., Wonka, P.: High quality monocular depth estimation via transfer learning abs/1812.11941, arXiv:1812.11941 (2018)īehley, J., et al.: SemanticKITTI: a dataset for semantic scene understanding of lidar sequences.






    Extract images from unity assets