def __init__(self, dataset):
self.vis = visdom.Visdom(server="http://localhost")
self.sp = pv.SchematicPlotter(self.vis)
self.dataset = dataset
self.vis_index = 0
self.model = None
self.opts = None
parser.add_argument("--data_type", type=str, default="combined", help="(combined|separate)")
parser.add_argument("--min_seg_size", type=int, default=6, help="min seg size")
parser.add_argument(
"--save_dataset", type=bool, default=False, help="should we save this min seg size dataset"
)
parser.add_argument(
"--load_saved_dataset",
type=bool,
default=False,
help="should we load a presaved dataset for this mss",
)
parser.add_argument("--useid", type=bool, default=False, help="should we use the block id")
opts = parser.parse_args()
vis = visdom.Visdom(server="http://localhost")
sp = pv.SchematicPlotter(vis)
if opts.data_type == "separate":
dataset = SegmentContextSeparateInstanceData(
nexamples=3,
min_seg_size=opts.min_seg_size,
data_preparsed=opts.load_saved_dataset,
save_preparsed=opts.save_dataset,
for_vis=True,
useid=opts.useid,
)
for n in range(len(dataset)):
shape, seg, target = dataset[n]
sp.drawPlotly(shape)
sp.drawPlotly(seg)
target_coord = index_to_coord(target.item(), 32)
def __init__(self):
self.vis = visdom.Visdom(server="http://localhost")
self.sp = pv.SchematicPlotter(self.vis)
