# Path: pycoral/adapters/common.py
# def output_tensor(interpreter, i):
# def input_details(interpreter, key):
# def input_size(interpreter):
# def input_tensor(interpreter):
# def set_input(interpreter, data):
# def set_resized_input(interpreter, size, resize):
# 
# Path: pycoral/adapters/detect.py
# class BBox(collections.namedtuple('BBox', ['xmin', 'ymin', 'xmax', 'ymax'])):
#   def width(self):
#   def height(self):
#   def area(self):
#   def valid(self):
#   def scale(self, sx, sy):
#   def translate(self, dx, dy):
#   def map(self, f):
#   def intersect(a, b):
#   def union(a, b):
#   def iou(a, b):
# def get_objects(interpreter,
#                 score_threshold=-float('inf'),
#                 image_scale=(1.0, 1.0)):
#   def make(i):
# 
# Path: pycoral/utils/edgetpu.py
# _EDGETPU_SHARED_LIB = {
#   'Linux': 'libedgetpu.so.1',
#   'Darwin': 'libedgetpu.1.dylib',
#   'Windows': 'edgetpu.dll'
# }[platform.system()]
# def load_edgetpu_delegate(options=None):
# def make_interpreter(model_path_or_content, device=None, delegate=None):
# def _is_valid_ctypes_input(input_data):
# def _gst_buffer_map(buffer):
# def _check_input_size(input_size, expected_input_size):
# def run_inference(interpreter, input_data):
# class _GstMapInfo(ctypes.Structure):
# 
# Path: tests/test_utils.py
# _TEST_DATA_DIR = ''
#   _TEST_DATA_DIR = args.test_data_dir
# def get_test_tmpdir():
# def test_data_path(path, *paths):
# def test_image(path, *paths):
# def temporary_file(suffix=None):
# def generate_random_input(seed, n):
# def prepare_images(image_list, directory, shape):
# def area(box):
# def iou(box_a, box_b):
# def prepare_data_set_from_directory(path, test_ratio, fixed_order):
# def coral_test_main():


from PIL import Image
from pycoral.adapters import common
from pycoral.adapters import detect
from pycoral.utils import edgetpu
from tests import test_utils
import unittest
                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_tf2_coco_v1(self):
    objs = get_objects(tf2_coco_model(version=1), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, CAT)
    self.assertGreater(obj.score, 0.7)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_tf2_coco_v2(self):
    objs = get_objects(tf2_coco_model(version=2), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, CAT)
    self.assertGreater(obj.score, 0.7)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_fine_tuned(self):
    objs = get_objects(fine_tuned_model(), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, ABYSSINIAN)
    self.assertGreater(obj.score, 0.88)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=177, ymin=37, xmax=344, ymax=216))



# Path: pycoral/adapters/common.py
# def output_tensor(interpreter, i):
# def input_details(interpreter, key):
# def input_size(interpreter):
# def input_tensor(interpreter):
# def set_input(interpreter, data):
# def set_resized_input(interpreter, size, resize):
# 
# Path: pycoral/adapters/detect.py
# class BBox(collections.namedtuple('BBox', ['xmin', 'ymin', 'xmax', 'ymax'])):
#   def width(self):
#   def height(self):
#   def area(self):
#   def valid(self):
#   def scale(self, sx, sy):
#   def translate(self, dx, dy):
#   def map(self, f):
#   def intersect(a, b):
#   def union(a, b):
#   def iou(a, b):
# def get_objects(interpreter,
#                 score_threshold=-float('inf'),
#                 image_scale=(1.0, 1.0)):
#   def make(i):
# 
# Path: pycoral/utils/edgetpu.py
# _EDGETPU_SHARED_LIB = {
#   'Linux': 'libedgetpu.so.1',
#   'Darwin': 'libedgetpu.1.dylib',
#   'Windows': 'edgetpu.dll'
# }[platform.system()]
# def load_edgetpu_delegate(options=None):
# def make_interpreter(model_path_or_content, device=None, delegate=None):
# def _is_valid_ctypes_input(input_data):
# def _gst_buffer_map(buffer):
# def _check_input_size(input_size, expected_input_size):
# def run_inference(interpreter, input_data):
# class _GstMapInfo(ctypes.Structure):
# 
# Path: tests/test_utils.py
# _TEST_DATA_DIR = ''
#   _TEST_DATA_DIR = args.test_data_dir
# def get_test_tmpdir():
# def test_data_path(path, *paths):
# def test_image(path, *paths):
# def temporary_file(suffix=None):
# def generate_random_input(seed, n):
# def prepare_images(image_list, directory, shape):
# def area(box):
# def iou(box_a, box_b):
# def prepare_data_set_from_directory(path, test_ratio, fixed_order):
# def coral_test_main():


# Path: tests/detect_test.py
from PIL import Image
from pycoral.adapters import common
from pycoral.adapters import detect
from pycoral.utils import edgetpu
from tests import test_utils
import unittest

                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_tf2_coco_v1(self):
    objs = get_objects(tf2_coco_model(version=1), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, CAT)
    self.assertGreater(obj.score, 0.7)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_tf2_coco_v2(self):
    objs = get_objects(tf2_coco_model(version=2), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, CAT)
    self.assertGreater(obj.score, 0.7)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=43, ymin=35, xmax=358, ymax=333))

  def test_fine_tuned(self):
    objs = get_objects(fine_tuned_model(), self.delegate, 'cat.bmp')
    self.assertGreater(len(objs), 0)
    obj = objs[0]
    self.assertEqual(obj.id, ABYSSINIAN)
    self.assertGreater(obj.score, 0.88)
    self.assert_bbox_almost_equal(obj.bbox,
                                  BBox(xmin=177, ymin=37, xmax=344, ymax=216))



if __name__ == '__main__':