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I am trying to visualize the predicted result by running this command but it is blocked at the end :
python kitti_object.py -p --vis data/object/training/pred data/object training data/object/training/velodyne/000000.bin 0 image shape: (370, 1224, 3) 0 velo shape: (115384, 4) ======== Objects in Ground Truth ======== === 1 object === Type, truncation, occlusion, alpha: Pedestrian, 0, 0, -0.200000 2d bbox (x0,y0,x1,y1): 712.400000, 143.000000, 810.730000, 307.920000 3d bbox h,w,l: 1.890000, 0.480000, 1.200000 3d bbox location, ry: (1.840000, 1.470000, 8.410000), 0.010000 Difficulty of estimation: Easy
The text was updated successfully, but these errors were encountered:
same as you.have you solve this?
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python kitti_object.py -p --show_lidar_with_depth --img_fov --const_box --vis
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I am trying to visualize the predicted result by running this command but it is blocked at the end :
python kitti_object.py -p --vis
data/object/training/pred
data/object training
data/object/training/velodyne/000000.bin
0 image shape: (370, 1224, 3)
0 velo shape: (115384, 4)
======== Objects in Ground Truth ========
=== 1 object ===
Type, truncation, occlusion, alpha: Pedestrian, 0, 0, -0.200000
2d bbox (x0,y0,x1,y1): 712.400000, 143.000000, 810.730000, 307.920000
3d bbox h,w,l: 1.890000, 0.480000, 1.200000
3d bbox location, ry: (1.840000, 1.470000, 8.410000), 0.010000
Difficulty of estimation: Easy
The text was updated successfully, but these errors were encountered: