> For the complete documentation index, see [llms.txt](https://pcl.gitbook.io/tutorial/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pcl.gitbook.io/tutorial/part-1/part01-chapter01/part01-chapter01-open3d-python.md).

# Open3D-Python (70%)

> Jupyter 버젼은 [\[이곳\]](https://github.com/adioshun/gitBook_Tutorial_PCL/blob/master/Beginner/Part01-Chapter01-Open3D-Python.ipynb)에서 확인 가능 합니다.

## 1. 읽기

```python
import open3d
import numpy as np


#PCD 파일 읽기
pc = open3d.read_point_cloud("./sample/lobby.pcd") 
print(pc)

#txt 파일 읽기
open3d.read_point_cloud("./sample/open3d_xyz.txt", format='xyz')
```

## 2. 생성

```python
import open3d
import numpy as np

pc_array = np.array([[1, 2, 3], [3, 4, 5]], dtype=np.float32)
print(pc_array)

pc = open3d.PointCloud()
pc.points = open3d.Vector3dVector(pc_array)
print(pc)
```

## 3. 쓰기

지원 하는 확장자 : pcd, ply, xyz, xyzrgb, xyzn, pts

```python
import open3d

open3d.write_point_cloud("pc2pcd.pcd", pc)
```

## 4. 변환

```python
import open3d
import numpy as np

# Open3D to numpy
pcd_load = read_point_cloud("../../TestData/sync.pcd")
pc_array = np.asarray(pcd_load.points)
print("pc Type : {}".format(type(pc)))
print("pc_array Type : {}".format(type(pc_array)))

# numpy to Open3D
pc_new = open3d.PointCloud()
pc_new.points = open3d.Vector3dVector(pc_array)
open3d.write_point_cloud("pc2pcd.pcd", pc_new)
```

## 5. 정보 출력

```python
import open3d
import numpy as np

print("포인트 수 : {}".format(pc.dimension))


#print ('Loaded ' + str(pc.width * pc.height) + ' data points from test_pcd.pcd with the following fields: ')

for i in range(0, 10):
    print ('x: ' + str(pc.points[i][0]) + ', y : ' + str(pc.points[i][1]) + ', z : ' + str(pc.points[i][2]))
```


---

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