Comments (2)
That depends on what your parameters are. I wouldn't find 2.1 G unusual at all.
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Thanks for the replay. I will adjust the resolution and chunk size(originally 16 and 0.03 as default) to reduce the memory consumption. I do have another question if you don't mind I ask. When I ran my own dataset (depth image set that captured by Depth Sensor), the camera.ProjectPoint() is always out of range. What could be the reasons to cause such issue? Will depth image quality have such impact?(the depth images I collect do have a lot noises). Thanks.
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Related Issues (20)
- toooooo slow test on the Freiburg RGBD dataset HOT 5
- Camera extrinsics HOT 1
- ERROR: cannot launch node of type [chisel_ros/ChiselNode]: can't locate node [ChiselNode] in package [chisel_ros] HOT 3
- Error in hash function - p3 = 8349279; should be p3 = 83492791; according to paper HOT 4
- How to get triangle vertices of the OpenChisel mesh ? HOT 1
- Compared with FastFusion HOT 1
- ChiselServer drops data when TSDF mapping is lagging behind framerate. HOT 4
- Fixed Frame [map] does not exist when running with Freiburg RGBD dataset HOT 4
- Usage without ROS HOT 5
- launch dataset error
- Can not launch chisel_ros node: seems like eigen error HOT 1
- vertex indices never used
- setupFrustum bug
- build error HOT 1
- has 0 mesh
- Erroneous Mesh Generation with custom dataset
- Documentation for pointcloud format and API cycles HOT 9
- Make repository private until we can work out IP law details
- Wrong results when computing Chunk- and Voxel-IDs HOT 4
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