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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