from __future__ import division as _ from __future__ import absolute_import as _ import unittest import turicreate as tc import random import tempfile import math import numpy as np from numbers import Number from . import util as test_util import pytest from turicreate.toolkits._internal_utils import _mac_ver, _read_env_var_cpp from turicreate.toolkits._main import ToolkitError as _ToolkitError import uuid USE_CPP = _read_env_var_cpp('TURI_AC_USE_CPP_PATH') def _load_data(self, num_examples=1000, num_features=3, max_num_sessions=4, randomize_num_sessions=True, num_labels=9, prediction_window=5, enforce_all_sessions=False): random.seed(42) self.num_examples = num_examples self.num_features = num_features self.num_sessions = random.randint(
# Copyright © 2019 Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can # be found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause # import turicreate as _tc from turicreate import extensions as _extensions from turicreate.toolkits._model import CustomModel as _CustomModel from turicreate.toolkits._model import PythonProxy as _PythonProxy from turicreate.toolkits.object_detector.object_detector import ObjectDetector as _ObjectDetector from turicreate.toolkits.one_shot_object_detector.util._augmentation import preview_synthetic_training_data as _preview_synthetic_training_data import turicreate.toolkits._internal_utils as _tkutl from turicreate.toolkits import _coreml_utils USE_CPP = _tkutl._read_env_var_cpp('TURI_OD_USE_CPP_PATH') def create(data, target, backgrounds=None, batch_size=0, max_iterations=0, verbose=True): """ Create a :class:`OneShotObjectDetector` model. Note: The One Shot Object Detector is currently in beta. Parameters ---------- data : SFrame | tc.Image
from __future__ import division as _ from __future__ import absolute_import as _ import logging as _logging from math import ceil as _ceil import numpy as _np import six as _six import turicreate as _tc import turicreate.toolkits._internal_utils as _tk_utils from turicreate.toolkits._main import ToolkitError as _ToolkitError from turicreate.toolkits._model import CustomModel as _CustomModel from turicreate.toolkits._model import PythonProxy as _PythonProxy from turicreate.toolkits import _coreml_utils USE_TF = _tk_utils._read_env_var_cpp('TURI_SC_USE_TF_PATH') class _DataIterator(object): ''' Defines a common interface around MXNet NDArrayIter and TensorFlow DataSet.from_tensor_slices ''' ''' Creates a new instance wrapping numpy data and labels. If `label` is provided, `label.shape[0]` must match `data.shape[0]`. ''' def __init__(self, data, label=None, batch_size=1, shuffle=False): raise NotImplementedError
import turicreate._connect.main as glconnect from turicreate.data_structures.sframe import SFrame as _SFrame import turicreate.extensions as _extensions from turicreate.extensions import _wrap_function_return from turicreate.toolkits._internal_utils import _toolkit_serialize_summary_struct, _read_env_var_cpp from turicreate.util import _make_internal_url from turicreate.toolkits._main import ToolkitError import turicreate.util._file_util as file_util import os from copy import copy as _copy import six as _six MODEL_NAME_MAP = {} # Object detector use C++ codepath OD_USE_CPP = _read_env_var_cpp('TURI_OD_USE_CPP_PATH') # Activity Classifier use C++ codepath AC_USE_CPP = _read_env_var_cpp('TURI_AC_USE_CPP_PATH') # Style Transfer use C++ codepath ST_USE_CPP = _read_env_var_cpp('TURI_ST_USE_CPP_PATH') # Drawing Classifier use C++ codepath DC_USE_CPP = _read_env_var_cpp('TURI_DC_USE_CPP_PATH') def load_model(location): """ Load any Turi Create model that was previously saved.
from turicreate.toolkits._internal_utils import ( _toolkit_serialize_summary_struct, _read_env_var_cpp, ) from turicreate.util import _make_internal_url from turicreate.toolkits._main import ToolkitError import turicreate.util._file_util as file_util import os from copy import copy as _copy import six as _six import warnings MODEL_NAME_MAP = {} # Object detector use C++ codepath OD_USE_CPP = _read_env_var_cpp("TURI_OD_USE_CPP_PATH") # Activity Classifier use C++ codepath AC_USE_CPP = _read_env_var_cpp("TURI_AC_USE_CPP_PATH") # Style Transfer use C++ codepath ST_USE_CPP = _read_env_var_cpp("TURI_ST_USE_CPP_PATH") # Drawing Classifier use C++ codepath DC_USE_CPP = _read_env_var_cpp("TURI_DC_USE_CPP_PATH") def load_model(location): """ Load any Turi Create model that was previously saved.