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import imageio
import numpy as np
import pyfastnoisesimd as fns # pip install pyfastnoisesimd
import matplotlib.pyplot as plt

def perlin_noise(frequency, width, height):

    noise = fns.Noise()
    noise.NoiseType = 2 # perlin noise

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import os
import cv2
import numpy as np
from tqdm import tqdm
import glob
import json
from pycocotools import mask as m
import datetime

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How to convert .obj to .ply, with colored vertices and triangular faces

1. open the meshlab and import *.obj file
2. centralize the mesh

Filters -> Normals, Curvatures and Orientations ->
Transform: Move, Translate, Center -> 
check translate center of bbox to the origin -> Apply

3. subdivide mesh

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# read VOC style segmentation labels (.xml) and convert them to gray masked image(.jpg)
# reference: http://www.programmersought.com/article/9208990502/


import os
import cv2
import xml.dom.minidom
 
image_path = "/home/seung/Dropbox/Project/IKEA-Assembly-Instuctions-Dataset/supervisely/chair/img/"
annotation_path = "/home/seung/Annotations_step/"