65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
#! /usr/bin/python3
|
|
from io import BytesIO
|
|
from numpy import asarray
|
|
from PIL import Image
|
|
from redis import Redis
|
|
import base64
|
|
import json
|
|
import potrace
|
|
import re
|
|
import time
|
|
|
|
color = 65280
|
|
r = Redis()
|
|
|
|
def convertImg(src, image_path="/tmp/"):
|
|
base64_data = re.sub('^data:image/.+;base64,', '', src)
|
|
byte_data = base64.b64decode(base64_data)
|
|
image_data = BytesIO(byte_data)
|
|
img = Image.open(image_data).convert("1")
|
|
return img
|
|
|
|
# Read results from redis
|
|
data = r.lpop('image-convert')
|
|
while data :
|
|
try:
|
|
item = json.loads(data)
|
|
image_data = item["image_data"]
|
|
text = item["text"]
|
|
hash_name = item["hash_name"]
|
|
|
|
# Vectorize the image
|
|
image = convertImg( image_data )
|
|
bmp = potrace.Bitmap( asarray( image ) )
|
|
|
|
# Trace the bitmap to a path
|
|
path = bmp.trace(turdsize=16,alphamax=0.0, opticurve=0, opttolerance=1.0)
|
|
pl = []
|
|
|
|
for curve in path:
|
|
start = curve.start_point
|
|
pl.append([int(start[0]),int(start[1]),0])
|
|
pl.append([int(start[0]),int(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
|
|
pl.append([int(c_x),int(c_y),color])
|
|
pass
|
|
#
|
|
else:
|
|
c1_x, c1_y = segment.c1
|
|
x, y = segment.c2
|
|
pl.append([int(x),int(y),color])
|
|
pl.append([int(c1_x),int(c1_y),color])
|
|
#
|
|
pl.append([start[0],start[1],0])
|
|
item["points_list"] = pl
|
|
item["created_at"] = time.time()
|
|
r.hset("images",hash_name, json.dumps(item))
|
|
data = r.lpop('image-convert')
|
|
|
|
except Exception as e:
|
|
print("woops",e)
|
|
break
|