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Trying to implement pipelining using tl.range(..., num_stages=num_pipeline_stages)` for a persistent kernel.
Each SM executes the following operations per iteration:
Memory: There are 7 loads ( 32…
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### Editing train.sh
#!/bin/bash
SCENE=garden
DATA_DIR=/root/google-research/merf/nerf_real_360
CHECKPOINT_DIR=~/checkpoints/merf/"$SCENE"
export CUDA_VISIBLE_DEVICES=0
python train.py \
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I am attempting to use this package by way of using a ZEDx stereo camera with the depthimage-to-laserscan package to obtain a LaserScan which is then used by this package (with laserscan_to_flatscan_n…
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PRs will follow to
* support _PoseWithCovariance_ type visualization
* improve mouse handler
* update occupancy grid client
* add PoseWithCovariancePublisher
* add initial pose publisher example
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`OccGridEstimator` uses different levels of `aabbs` to know where to sample the points from with difference levels of details
```
# multiple levels of aabbs
aabbs = torch.stack(
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![Webp net-gifmaker (6)](https://user-images.githubusercontent.com/4009589/80920755-27199e80-8d72-11ea-8d2e-4a527cd0ffe5.gif)
@cbachhuber this is what I was talking about in https://github.com/TheC…
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Hi, Ruilong.
If i only use raymarching to do sampling without creating occupancy grid. Can you tell me how it works. How it combines the coarse sampling and fine sampling? Thanks.
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I'm trying to generate an occupancy map using the iOS example on the iPad with LIDAR. I'm not sure what I am doing wrong but I am getting these weird lines and lots of empty space:
This is the …
Li357 updated
2 years ago
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Thank you again for your great work!
In your implementation of [Permutohedral Encoding](https://github.com/RaduAlexandru/permutohedral_encoding), you implement it as a Pytorch CUDA module so it's s…
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- [x] Create a basic ROS node that subscribes to the Z Camera image topic
- [x] Use OpenCV to detect potholes from the image and output the result as a top down view of detected potholes
- [ ] Generat…