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LJ/clitools/generators/opencv2.py

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Python
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import cv2
import numpy as np
from PIL import Image
from numpy import asarray
import potrace
color = 65280
camera = cv2.VideoCapture(0)
camera.set(cv2.CAP_PROP_FRAME_WIDTH, 160)
camera.set(cv2.CAP_PROP_FRAME_HEIGHT, 120)
camera.set(cv2.CAP_PROP_FPS, 5)
print("camera FPS:{} height:{} width:{}".format(camera.get(cv2.CAP_PROP_FPS), camera.get(cv2.CAP_PROP_FRAME_WIDTH), camera.get(cv2.CAP_PROP_FRAME_HEIGHT)))
while(camera.isOpened()):
pl = []
ret, frame = camera.read()
if ret==True:
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
cv2.Canny(gray, 100,120 )
(thresh, gray) = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
nb = cv2.cvtColor(asarray(gray), cv2.COLOR_RGB2BGR)
image = Image.fromarray(nb).convert("1")
image.save( "/tmp/cv.png")
bmp = potrace.Bitmap( asarray( image ) )
# Trace the bitmap to a path
path= bmp.trace(turdsize=16,alphamax=0.0, opticurve=0, opttolerance=1.0)
# Iterate over path curves
for curve in path:
start = curve.start_point
pl.append([start[0],start[1],0])
pl.append([start[0],start[1],color])
for segment in curve:
end_point_x, end_point_y = segment.end_point
if segment.is_corner:
#c_x, c_y = segment.c
pass
else:
c1_x, c1_y = segment.c1
x, y = segment.c2
pl.append([x,y,color])
pl.append([start[0],start[1],0])
ret, frame = camera.read()
#print(len(pl), flush = True)
print(pl, flush = True)
else:
break
# Release everything if job is finished
camera.release()