Zehao Yu
@KirillHiddleston Please refer to https://github.com/svip-lab/PlanarReconstruction/blob/master/main.py#L107 to prepare custom dataset.
@KirillHiddleston num_planes is the the number of plane instances in the image.
@KirillHiddleston If you have segmentation map of plane and depth map. Then you can unproject depth map to point cloud, then you can fit the plane parameter to 3D points...
Hi, please refer to #2
@xuwendy 应该是你的opencv没有装成功。
hi, please refer to #2
@zhao-you-fei The code is tested on a Linux system. On a Windows system, the format of data path may be different. You may change it youself.
Hi, I think you could adapt this script https://github.com/autonomousvision/monosdf/blob/main/preprocess/scannet_to_monosdf.py to prepare the data
@CCOSerika Sorry for the late reply. This line ``` scale_mat[:3] *= 2. / (np.max(max_vertices - min_vertices) + 3.) ``` is used for ScanNet (indoor scenes) where the cameras are inside...
Hi, 1. Because we need to align rendered depth with monocular depth so they should come from the same image. I think use more images at a time is also...