def process_mazes():
while True:
time.sleep(2)
if len(queue) != 0:
jid, handdrawn, scale, fname = queue.pop()
print("Processing job {}".format(jid))
config.args = Args(handdrawn)
orig_img = cv2.imread(fname)
if orig_img is None:
print("Unable to load image file {}".format(fname))
return
img, scale = processimage.processimage(orig_img, scale, handdrawn)
img2, graph = mazereader.read_maze(img)
completed_jobs[jid] = (graph, scale)
def process_mazes():
while True:
time.sleep(2)
if len(queue) != 0:
jid, handdrawn, scale, fname = queue.pop()
print("Processing job {}".format(jid))
config.args = Args(handdrawn)
orig_img = cv2.imread(fname)
if orig_img is None:
print("Unable to load image file {}".format(fname))
return
img, scale = processimage.processimage(orig_img, scale, handdrawn)
img2, graph = mazereader.read_maze(img)
completed_jobs[jid] = (graph, scale)
action='store_true',
help='Use tiled skeletonization\
(sometimes faster on images with lots of white space')
args = parser.parse_args()
config.args = args
origImg = cv2.imread(config.args.image)
if origImg is None:
print("Unable to load image file")
sys.exit(-1)
start_time = time.time()
img = origImg.copy()
img, scale = processimage.processimage(origImg, config.args.scale,
config.args.handdrawn)
cv2.imwrite("preprocessed.png", img)
ret = mazereader.read_maze(img)
start = end = None
num_clicks = 0
if ret is not None:
img2, graph = ret
if not config.args.nogui:
cv2.imshow("image", img2)
end_time = time.time()
print("Time: {}".format(end_time - start_time))
w, r, h = img2.shape
r = max(float(config.args.screenRows), r)
w = max(float(config.args.screenCols), w)
dest='handdrawn', action='store_true',
help='Preprocess the image for a messier maze')
parser.add_argument('--scale', '-s',
dest='scale', type=float, default=None,
help='Scale factor to scale the image by before solving')
parser.add_argument('--tiles', '-t',
dest='tiles', action='store_true',
help='Use tiled skeletonization')
args = parser.parse_args()
args.nogui = True
args.pixellines = False
config.args = args
origImg = cv2.imread(config.args.image)
if origImg is None:
print("Unable to load image file")
sys.exit(-1)
img = origImg.copy()
img, scale = processimage.processimage(origImg, config.args.scale,
config.args.handdrawn)
img2, graph = mazereader.read_maze(img)
print('---GRAPH START---')
for node in graph.nodes:
print('---')
print('{},{}'.format(node.pos[0] / scale, node.pos[1] / scale))
for con, dist in node.connections:
print('{},{}'.format(con, dist))