精准地使用渲染技术获取不同视角图片和相应的准确的相机位姿文件。转载一篇git,记录一下,很好用,作者还出了视频:GitHub - maximeraafat/BlenderNeRF: Easy NeRF synthetic dataset creation within Blender 输出数据可以直接挂载到NeRF源码对应的路径下进行实验。
Save Path(empty by default) : path to the output directory in which the dataset will be created If theGaussian Pointsproperty is active,BlenderNeRFwill create an additionalpoints3d.plyfile from all visible meshes (at render time) where each vertex will be used as initialization point. Vertex ...
(path, "transforms_train.json", white_background, extension) File "/workspace/gaussian-splatting/scene/dataset_readers.py", line 264, in readCamerasFromTransforms image_path=image_path, image_name=image_name, width=image.size[0], height=image.size[1])) TypeError: __new__() missing 3 ...
Additionally, it is found that SAR-NeRF augumented dataset can significantly improve SAR target classification performance under few-shot learning setup, where a 10-type classification accuracy of 91.6\% can be achieved by using only 12 images per class. 展开 ...