- [Case 1] Open3d
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Installation
$ pip3 install open3d -
Simple code for visualized .ply file
from open3d import * def main(): ply_path = "~/xxx.ply" cloud = io.read_point_cloud(ply_path) # Read point cloud visualization.draw_geometries([cloud]) # Visualize point cloud if __name__ == "__main__": main() - Result
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Reference Site
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- [Case 2] pptk
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Installation
$ pip3 install pptk $ pip3 install plyfile -
Simple code for visualized .ply file
import pptk import numpy as np import plyfile ply_path = "~/xxx.ply" data = plyfile.PlyData.read(ply_path)['vertex'] xyz = np.c_[data['x'], data['y'], data['z']] rgb = np.c_[data['red'], data['green'], data['blue']] n = np.c_[data['nx'], data['ny'], data['nz']] v = pptk.viewer(xyz) v.attributes(rgb / 255., 0.5 * (1 + n)) - Result
- only supported up to python version 3.6
- So, there is no result in my environment !!
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Reference Site
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- [Case 3] pyntcloud
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Installation
$ pip3 install pyntcloud - Simple code for visualized .ply file
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[참고] Plot을 위한 여려 flag 및 argument들이 존재!!
def plot(self, backend=None, scene=None, width=800, height=500, background="black", mesh=False, use_as_color=["red", "green", "blue"], initial_point_size=None, cmap="hsv", polylines=None, linewidth=5, return_scene=False, output_name="pyntcloud_plot", elev=0., azim=90., **kwargs): """Visualize a PyntCloud using different backends. Parameters ---------- backend: {"pythreejs", "threejs", "pyvista", "matplotlib"}, optional Default: "pythreejs" Used to select one of the available libraries for plotting. width: int, optional Default: 800 height: int, optional Default: 500 background: str, optional Default: "black" Used to select the default color of the background. In some backends, i.e "pythreejs" the background can be dynamically changed. use_as_color: str or ["red", "green", "blue"], optional Default: ["red", "green", "blue"] Indicates which scalar fields will be used to colorize the rendered point cloud. initial_point_size: the initial size of each point in the rendered point cloud. Can be adjusted after rendering using slider. cmap: str, optional Default: "hsv" Color map that will be used to convert a single scalar field into rgb. Check matplotlib cmaps. return_scene: bool, optional Default: False. Used with "pythreejs" backend in order to return the pythreejs.Scene object polylines: list of dict, optional Default None. List of dictionaries defining polylines with the following syntax: polylines=[ { "color": "0xFFFFFF", "vertices": [[0, 0, 0], [0, 0, 1]] }, { { "color": "red", "vertices": [[0, 0, 0], [0, 0, 1], [0, 2, 0] } ] elev: float Elevation angle in the z plane. Used for matplotlib azim: float Azimuth angle in the x,y plane. """
from pyntcloud import PyntCloud import matplotlib ply_path = "./xxx.ply" cloud = PyntCloud.from_file(ply_path) # There are a lot of visualization method (library) !! -> **"pythreejs", "threejs", "pyvista", "matplotlib"** # And this package also can use in Jupyter notebook !! # cloud.plot(use_as_color="x", cmap="cool", backend="matplotlib") cloud.plot(backend="matplotlib", mesh=True, cmap="hsv") -
- Result (mesh file 크기가 클수록 시간이 오래걸림… 근데 이게 너무 심하게 오래 걸림…)
- Example 1 (w/o mesh) →
cloud.plot(use_as_color="x", cmap="cool", backend="matplotlib")
- Example 2 (w/ mesh) →
cloud.plot(backend="matplotlib", mesh=True, cmap="hsv")
- Example 1 (w/o mesh) →
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Reference Site
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- [Case 4] Custom Github page (Using OpenGL)
- Only for ASCII format ! (Not allow Binary format !)
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필요한 형식이 담겨 있는 code (3DPlyModel.cpp)
for(auto itr = items.begin(); itr != items.end(); itr++){ if(*(itr) == string("format") && *(itr+1) != string("ascii")){ cerr << "Codification not supported. (Ply loading)" << endl; return; } if(*(itr) == string("vertex")){ np = stoi(*(itr+1)); points.resize(np); } if(*(itr) == string("face")){ nf = stoi(*(itr+1)); faces.resize(nf); } if(*(itr) == string("nx")){ hasNormals = true; normals.resize(np); } if(*(itr) == string("s")){ hasTexture = true; uv_coordinates.resize(np); } } items.clear(); - If you want to convert binary_little_endian to ascii, please convert ply file first !!
- 작성자 기준: 1.7GB binary ply file → 5.4GB ascii ply file (용량이 클수록 시간이 오래 걸림)
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Installation
$ pip3 install plyfile -
Convert BINARY to ASCII ply file !
import plyfile data = plyfile.PlyData.read('./xxx.ply') data.text = True data.write('xxx_ascii.ply') -
Reference Site
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Installation
$ git clone https://github.com/mateus558/PLY-models-viewer.git $ cd ./PLY-models-viewer $ g++ -g --std=c++11 main.cpp 3DPlyModel.cpp glcTexture.cpp -o main -lpng -lGL -lGLU -lglut $ ./main <PLY file> - Result
- Computing gouraud… (이렇게 나오면 올바르게 동작 !)
- 그런데 이렇게만 나오고 사이즈가 크니깐 결과가 하루가 지나도 안나타남! 별로…인듯?
- Computing gouraud… (이렇게 나오면 올바르게 동작 !)
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Reference Site
- Only for ASCII format ! (Not allow Binary format !)
