Comments (1)
The result is below, but no point cloud showing.
warnings.warn('64-bit data types not supported for WebGL ' Renderer(camera=PerspectiveCamera(aspect=1.6, fov=90.0, position=(16.54891692206 4606, 46.15009424030715, 0.38871846990986914), projectionMatrix=(1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0), quaternion=(0. 0, 0.0, 0.0, 1.0), rotation=(0.0, 0.0, 0.0, 'XYZ'), scale=(1.0, 1.0, 1.0), up=(0 .0, 0.0, 1.0)), controls=[OrbitControls(controlling=PerspectiveCamera(aspect=1.6 , fov=90.0, position=(16.548916922064606, 46.15009424030715, 0.38871846990986914 ), projectionMatrix=(1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0), quaternion=(0.0, 0.0, 0.0, 1.0), rotation=(0.0, 0.0, 0.0, 'XYZ'), scale=(1.0, 1.0, 1.0), up=(0.0, 0.0, 1.0)), target=(16.548916922064606, 0.21719476520948885, -1.1111480454881564))], scene=Scene(children=(Points(geomet ry=BufferGeometry(attributes={'position': <BufferAttribute shape=(272899, 3), dt ype=float32>, 'color': <BufferAttribute shape=(272899, 3), dtype=uint8>}), mater ial=PointsMaterial(map=None, vertexColors='VertexColors'), position=(0.0, 0.0, 0 .0), quaternion=(0.0, 0.0, 0.0, 1.0), rotation=(0.0, 0.0, 0.0, 'XYZ'), scale=(1. 0, 1.0, 1.0), up=(0.0, 1.0, 0.0)), PerspectiveCamera(aspect=1.6, fov=90.0, posit ion=(16.548916922064606, 46.15009424030715, 0.38871846990986914), projectionMatr ix=(1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1 .0), quaternion=(0.0, 0.0, 0.0, 1.0), rotation=(0.0, 0.0, 0.0, 'XYZ'), scale=(1. 0, 1.0, 1.0), up=(0.0, 0.0, 1.0))), fog=None, overrideMaterial=None, position=(0 .0, 0.0, 0.0), quaternion=(0.0, 0.0, 0.0, 1.0), rotation=(0.0, 0.0, 0.0, 'XYZ'), scale=(1.0, 1.0, 1.0), up=(0.0, 1.0, 0.0)), shadowMap=WebGLShadowMap()) HBox(children=(Label(value='Point size:'), FloatSlider(value=0.02, max=0.2, step =0.0002), Label(value='Background color:'), ColorPicker(value='black')))
from pseudo_lidar.
Related Issues (20)
- Evaluation with pre-trained frustum pointnet HOT 1
- AVOD pre-trained weights for mono pseudo-lidar HOT 1
- have trouble in Train the stereo model
- pseudo lidar HOT 1
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- Can not install pytorch with Python 2.7 HOT 2
- Training for my own custom data HOT 3
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- Why pseudo point cloud results in this proposed method seem too far different from LIDAR? HOT 4
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from pseudo_lidar.