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# cuda-pcl | ||
<a><img src="https://img.shields.io/badge/-Documentation-bright"/></a> | ||
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cuda-pcl has some libraries used to procesee points cloud with CUDA and some samples for their usage. | ||
The are several subfolders in the project and every subfolder has: | ||
1. lib for segmentation implemented by CUDA | ||
2. Sample code can show the lib usage and also be used to check perf | ||
and accuracy by comparing its output with PCL | ||
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To get started, follow the instructions below. If you run into any issues please [let us know](../../issues). | ||
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## Getting Started | ||
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To get started with trt_pose, follow these steps. | ||
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### Step 1 - Install Dependencies | ||
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1. Install Jetpack4.4.1 by SDKManager | ||
2. install PCL (Eigen included) | ||
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``` | ||
$sudo apt-get update | ||
$sudo apt-get install libpcl-dev | ||
``` | ||
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### Step 2 - Build | ||
Enter any subfolder and then | ||
``` | ||
$ make | ||
``` | ||
### Step 3 - Run | ||
1. Please boost CPU and GPU firstly | ||
``` | ||
$ sudo nvpmodel -m 0 | ||
$ sudo jetson_clocks | ||
``` | ||
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2. Usage: | ||
``` | ||
$ ./demo [*.pcd] | ||
``` | ||
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## How to check the Version of the Lib | ||
``` | ||
$ strings lib* | grep version | grep lib | ||
lib* version: 1.0 Jun 2 2019 09:30:19 | ||
``` | ||
## Test Enviroment | ||
``` | ||
Jetson Xavier AGX 8GB | ||
Jetpack 4.4.1 | ||
CUDA 10.2 | ||
PCL 1.8 | ||
Eigen 3 | ||
``` |