#!/usr/bin/python

import cv2
import numpy as np

# mesh image
imMesh = cv2.imread('new_refined2__DXF.png', -1)

# layer image
imLayer1 = cv2.imread('Layer1.png', -1)

"""
binary conversions
"""
imMeshGray = cv2.cvtColor(imMesh, cv2.COLOR_BGR2GRAY)
ret, imMeshBw = cv2.threshold(imMeshGray, 250, 255, cv2.THRESH_BINARY)

imLayer1Gray = cv2.cvtColor(imLayer1, cv2.COLOR_BGR2GRAY)
(thresh, imLayerBw) = cv2.threshold(imLayer1Gray, 128, 255,
                                    cv2.THRESH_BINARY | cv2.THRESH_OTSU)

connectivity = 4

output = cv2.connectedComponentsWithStats(imMeshBw, connectivity, cv2.CV_32S)
num_labels = output[0]
labels = output[1]
stats = output[2]

centroids = output[3]
# labels = labels + 1

print(labels)
print(num_labels)

# if I want for each label
for label in np.unique(labels):
    if label == 0:
        continue
    mask = np.zeros(imMeshGray.shape, dtype="uint8")
    # I should do here the bitwise, however I have a problem with my "triangles"

    mask[labels == label] = 255

cv2.imwrite('tst.jpg', mask)