这个函数就是 cv2.threshhold()。这个函数的第一个参数就是原图像，原图像应该是灰度图。第二个参数就...
Add an optional size parameter toread_text_file()to limit the maximum size that will be allocated and read (default to a limit of 16MB). Newread_text_from_command()is similar toread_text_file, but reads from the console output of a shell command. #3635 (2.5.0.0) New...
point_cloud_range=point_cloud_range), dict(type='ObjectRangeFilter', point_cloud_range=point_cloud_range), dict(type='PointShuffle'), dict( type='Pack3DDetInputs', keys=['points', 'gt_bboxes_3d', 'gt_labels_3d']) ] test_pipeline = [ dict( type='LoadPointsFromFile', coord_type...
through the key points. These lines intersect with the extended border lines (red lines) to form the intersection points. The connections between the intersection points create the patch areas. The right image inFigure 14illustrates ALS ground points located in different patch areas using different ...
Around the ground truth object point cloud at time t, we crop a set of C candidate BBs in order to create the candidate shapes {xtc}c∈[1,..,C]. The candidate BBs are sampled from a multivariate Gaussian distribution for the three planar degrees of freedom (tX , tY , α...
We create each testing example by cropping the 3D point cloud from the 3D bounding boxes. The segmentation mask is used to remove outlier depth in the bounding box. Then we directly apply our model trained on CAD models to NYU dataset. This is absolutely non-trivial because the statistics ...
/data/pointcloud_alg/mmdeploy/mmdeploy/codebase/mmdet3d/models/pillar_encode.py:41: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same ...
point_cloud_range = [ -50, -50, -5, 50, 50, 3, ] resume = False test_cfg = dict(type='TestLoop') test_dataloader = dict( batch_size=1, dataset=dict( ann_file='nuscenes_infos_val.pkl', backend_args=None, box_type_3d='LiDAR', ...
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling cublasCreate(handle) terminate called after throwing an instance of 'c10::Error' what(): CUDA error: device-side assert triggered Exception raised from create_event_internal at /opt/conda/conda-bld/pytorch_1595629416375/work/c10...
point_cloud_range=point_cloud_range, voxel_size=voxel_size, max_voxels=(-1, -1), ), pts_voxel_encoder=dict( type='DynamicVFE', in_channels=4, feat_channels=[64, 64], with_distance=False, voxel_size=voxel_size, with_cluster_center=True, with_voxel_center=True, point_cloud_range=po...