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How to use _open_image_file method in ATX

Best Python code snippet using ATX

yapic_dependencies.py

Source:yapic_dependencies.py

...74        self.labelvalue_mapping = self.calc_label_values_mapping(75            original_labels)76        self.check_label_matrix_dimensions()77    @lru_cache(maxsize=10)78    def _open_image_file(self, image_nr):79        """No memmap required when using the napari viewer."""80        im_name = self.filenames[image_nr].img81        data = self.data[im_name].data82        if not self.data[im_name].rgb:  # image has no channel dim83            data = np.expand_dims(data, axis=-1)  # channel dim84        # adding the four dimensions (z, y, x, c)85        if len(data.shape) == 3:  # RGB image (z, y, x, c)86            data = np.expand_dims(data, axis=0)  # z dim87        # arranging desired dimensions (c, z, x, y)88        data = np.moveaxis(data, (0, 1, 3), (1, 3, 0))89        return data90    def image_dimensions(self, image_nr):91        img = self._open_image_file(image_nr)92        return img.shape93    def original_label_values_for_all_images(self):94        """Empty return since no label path is required."""95        return []96    def _assemble_filenames(self, pairs):97        self.filenames = [FilePair(img, Path(lbl) if lbl else None)98                          for img, lbl in pairs]99    def check_label_matrix_dimensions(self):100        """True return since label path is not required"""101        return True102    @lru_cache(maxsize=10)103    def _open_label_file(self, image_nr):104        """No label path required"""105        return None106    def get_tile(self, image_nr, pos, size):107        """Modification from TiffConnector to get a tile from numpy array."""108        C, Z, X, Y = pos109        CC, ZZ, XX, YY = np.array(pos) + size  # offset110        slices = self._open_image_file(image_nr)111        tile = slices[C:CC, Z: ZZ, X: XX, Y: YY]112        return tile.astype('float')113    @lru_cache(maxsize=10)114    def _open_probability_map_file(self,115                                   image_nr,116                                   label_value,117                                   multichannel=False):118        """Minor change in the file and path definition."""119        # memmap is slow, so we must cache it to be fast!120        fname = self.filenames[image_nr].img121        if multichannel:122            fname = Path('{}.tif'.format(fname))123            n_classes = multichannel124            C = n_classes...

ImageSize.py

Source:ImageSize.py

...4    Providses size information and crop / resize tools for images5    """6    def __init__(self):7        pass8    def _open_image_file(function):9        """10        Decorator to open image file11        """12        def read_image(image_file, *args):13            try:14                image = Image.open(image_file)15                return function(image, *args)16            except IOError:17                return 'Error opening file'18        return read_image19    @staticmethod20    @_open_image_file21    def get_image_size(image):22        """...

tests.py

Source:tests.py

1from django.core.urlresolvers import reverse2from django.test import TestCase3# Create your tests here.4class FileUploadTests(TestCase):5    def _open_image_file(self):6        f = open('/home/randolph/Pictures/weed.jpg', 'rb')7        return f8    def _create_test_file(self, path):9        f = open(path, 'w')10        f.write('test123\n')11        f.close()12        f = open(path, 'rb')13        return {14            'doc': f,15        }16    def test_upload_file(self):17       url = reverse('task-list')18       data = self._create_test_file('/tmp/test_upload')19       data['task_name'] = 't1'20       data['task_desc'] = 'test'21       data['image'] = self._open_image_file()22       print data23       response = self.client.post(url, data, format='multipart')24       print response.status_code25       print response.content26      # # assert authenticated user can upload file27      # token = Token.objects.get(user__username='test')28      # client = APIClient()29      # client.credentials(HTTP_AUTHORIZATION='Token ' + token.key)30        ...

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