本文整理汇总了Python中libdvid.DVIDNodeService.put_labels3D方法的典型用法代码示例。如果您正苦于以下问题：Python DVIDNodeService.put_labels3D方法的具体用法？Python DVIDNodeService.put_labels3D怎么用？Python DVIDNodeService.put_labels3D使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类libdvid.DVIDNodeService的用法示例。
在下文中一共展示了DVIDNodeService.put_labels3D方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_labels_3d_volsync
# 需要导入模块: from libdvid import DVIDNodeService [as 别名]
# 或者: from libdvid.DVIDNodeService import put_labels3D [as 别名]
def test_labels_3d_volsync(self):
node_service = DVIDNodeService(TEST_DVID_SERVER, self.uuid)
node_service.create_labelblk("test_labels_3d2", "test_labels_3d2_vol")
data = numpy.random.randint(0, 2**63-1, (128,128,128)).astype(numpy.uint64)
node_service.put_labels3D( "test_labels_3d2", data, (0,0,0) )
retrieved_data = node_service.get_labels3D( "test_labels_3d2", (30,30,30), (20,20,20) )
self.assertTrue( (retrieved_data == data[20:50, 20:50, 20:50]).all() )示例2: test_labels_3d
# 需要导入模块: from libdvid import DVIDNodeService [as 别名]
# 或者: from libdvid.DVIDNodeService import put_labels3D [as 别名]
def test_labels_3d(self):
node_service = DVIDNodeService(TEST_DVID_SERVER, self.uuid)
node_service.create_labelblk("test_labels_3d")
data = numpy.random.randint(0, 2**63-1, (128,128,128)).astype(numpy.uint64)
assert data.flags['C_CONTIGUOUS']
node_service.put_labels3D( "test_labels_3d", data, (0,0,0) )
retrieved_data = node_service.get_labels3D( "test_labels_3d", (30,31,32), (20,20,20) )
self.assertTrue( (retrieved_data == data[20:50, 20:51, 20:52]).all() )示例3: put_labels
# 需要导入模块: from libdvid import DVIDNodeService [as 别名]
# 或者: from libdvid.DVIDNodeService import put_labels3D [as 别名]
def put_labels():
node_service = DVIDNodeService(str(server), str(uuid))
# send data from roi start position
node_service.put_labels3D(
str(label_name),
seg,
(subvolume.roi.x1, subvolume.roi.y1, subvolume.roi.z1),
compress=True,
roi=str(roi_name),
mutate=mutate,
)示例4: test_labels_3d
# 需要导入模块: from libdvid import DVIDNodeService [as 别名]
# 或者: from libdvid.DVIDNodeService import put_labels3D [as 别名]
def test_labels_3d(self):
node_service = DVIDNodeService(TEST_DVID_SERVER, self.uuid, "[email protected]", "test_label_app")
node_service.create_labelblk("test_labels_3d")
lblksize = node_service.get_blocksize("test_labels_3d")
self.assertEqual(32, lblksize)
node_service.create_labelblk("test_labels_3d64", "", 64)
lblksize64 = node_service.get_blocksize("test_labels_3d64")
self.assertEqual(64, lblksize64)
data = numpy.random.randint(0, 2**63-1, (128,128,128)).astype(numpy.uint64)
assert data.flags['C_CONTIGUOUS']
node_service.put_labels3D( "test_labels_3d", data, (0,0,0) )
retrieved_data = node_service.get_labels3D( "test_labels_3d", (30,31,32), (20,20,20) )
self.assertTrue( (retrieved_data == data[20:50, 20:51, 20:52]).all() )示例5: DVIDNodeService
# 需要导入模块: from libdvid import DVIDNodeService [as 别名]
# 或者: from libdvid.DVIDNodeService import put_labels3D [as 别名]
logging.info('UUID:\n{}'.format(uuid))
# get node service
node_service = DVIDNodeService(server_address, uuid)
# get dataset size and store in dvid
shape = image_provider.getImageShape(args.ilpFilename, args.labelImagePath)
time_range = image_provider.getTimeRange(args.ilpFilename, args.labelImagePath)
if args.timeRange is not None:
time_range = (max(time_range[0], args.timeRange[0]), min(time_range[1], args.timeRange[1]))
logging.info('Uploading time range {} to {}'.format(time_range, server_address))
keyvalue_store = "config"
node_service.create_keyvalue(keyvalue_store)
settings = { "shape": shape, "time_range": time_range }
node_service.put(keyvalue_store, "imageInfo", json.dumps(settings))
# upload all frames
for frame in range(time_range[0], time_range[1]):
logging.info("Uploading frame {}".format(frame))
label_image = image_provider.getLabelImageForFrame(args.ilpFilename, args.labelImagePath, frame)
raw_image = image_provider.getImageDataAtTimeFrame(args.rawFilename, args.rawPath, frame)
raw_name = "raw-{}".format(frame)
seg_name = "seg-{}".format(frame)
node_service.create_grayscale8(raw_name)
node_service.put_gray3D(raw_name, dataToBlock(raw_image, dtype=np.uint8), (0,0,0))
node_service.create_labelblk(seg_name)
node_service.put_labels3D(seg_name, dataToBlock(label_image, dtype=np.uint64), (0,0,0))
# TODO: upload classifier