mirror of
https://github.com/wassname/IndicoIo-python.git
synced 2026-07-15 01:10:58 +08:00
FIX: Tuple argument for PIL
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@@ -37,8 +37,8 @@ def image_preprocess(image, size=(48,48), batch=False):
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elif isinstance(image, Image.Image):
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elif isinstance(image, Image.Image):
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out_image = image
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out_image = image
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elif type(image).__name__ == "ndarray": # image is from numpy/scipy
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elif type(image).__name__ == "ndarray": # image is from numpy/scipy
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if "float" in str(image.dtype) and image.min() > 0 and image.max() < 1:
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if "float" in str(image.dtype) and image.min() >= 0 and image.max() <= 1:
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image *= 255
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image *= 255.
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try:
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try:
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out_image = Image.fromarray(image.astype("uint8"))
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out_image = Image.fromarray(image.astype("uint8"))
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except TypeError as e:
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except TypeError as e:
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@@ -102,7 +102,7 @@ def process_list_image(_list):
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if data_type == float:
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if data_type == float:
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seq_obj.append((int(elem[0] * 255), int(elem[1] * 255), int(elem[2] * 255)))
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seq_obj.append((int(elem[0] * 255), int(elem[1] * 255), int(elem[2] * 255)))
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else:
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else:
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seq_obj.append(elem[0:3])
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seq_obj.append(tuple(elem[0:3]))
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elif data_type == float:
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elif data_type == float:
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#Grayscale 0 - 1.0f
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#Grayscale 0 - 1.0f
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seq_obj.append((int(elem * 255), ) * 3)
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seq_obj.append((int(elem * 255), ) * 3)
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+12
-1
@@ -291,6 +291,14 @@ class FullAPIRun(unittest.TestCase):
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self.assertEqual(len(response), 48)
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self.assertEqual(len(response), 48)
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self.check_range(response)
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self.check_range(response)
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def test_rgba_int_array_facial_features(self):
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test_face = generate_rgba_int_array((48, 48))
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response = facial_features(test_face)
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self.assertTrue(isinstance(response, list))
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self.assertEqual(len(response), 48)
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self.check_range(response)
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def test_good_int_array_facial_features(self):
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def test_good_int_array_facial_features(self):
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fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
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fer_set = set(['Angry', 'Sad', 'Neutral', 'Surprise', 'Fear', 'Happy'])
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test_face = generate_int_array((48,48))
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test_face = generate_int_array((48,48))
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@@ -502,7 +510,10 @@ def generate_array(size):
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return [[random.random() for _ in xrange(size[0])] for _ in xrange(size[1])]
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return [[random.random() for _ in xrange(size[0])] for _ in xrange(size[1])]
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def generate_int_array(size):
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def generate_int_array(size):
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return [[random.randint(0, 50) for _ in xrange(size[0])] for _ in xrange(size[1])]
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return [[random.randint(0, 255) for _ in xrange(size[0])] for _ in xrange(size[1])]
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def generate_rgba_int_array(size):
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return [[[random.randint(0, 255) for _ in xrange(3)] for _ in xrange(size[0])] for _ in xrange(size[1])]
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if __name__ == "__main__":
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if __name__ == "__main__":
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