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https://github.com/wassname/IndicoIo-python.git
synced 2026-06-27 16:10:34 +08:00
ADD: Tests for accepting filename and b64 inputs
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@@ -24,6 +24,7 @@ def facial_features(image, cloud=None, batch=False, api_key=None, **kwargs):
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:type image: list of lists
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:rtype: List containing feature responses
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"""
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image = image_preprocess(image, batch=batch)
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return api_handler(image, cloud=cloud, api="facialfeatures", batch=batch, api_key=api_key, **kwargs)
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def image_features(image, cloud=None, batch=False, api_key=None, **kwargs):
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@@ -1,6 +1,6 @@
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import requests
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from indicoio.utils import api_handler
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from indicoio.utils import api_handler, image_preprocess
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import indicoio.config as config
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def fer(image, cloud=None, batch=False, api_key=None, **kwargs):
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@@ -26,5 +26,5 @@ def fer(image, cloud=None, batch=False, api_key=None, **kwargs):
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:type image: list of lists
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:rtype: Dictionary containing emotion probability pairs
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"""
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image = image_preprocess(image, batch=batch)
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return api_handler(image, cloud=cloud, api="fer", batch=batch, api_key=api_key, **kwargs)
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@@ -46,6 +46,27 @@ class BatchAPIRun(unittest.TestCase):
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self.assertTrue(isinstance(response, list))
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self.assertTrue(isinstance(response[0], dict))
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def test_batch_fer_bad_b64(self):
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test_data = ["$bad#FI jeaf9(#0"]
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self.assertRaises(ValueError, batch_fer, test_data, api_key=self.api_key)
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def test_batch_fer_good_b64(self):
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test_data = ["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"]
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response = batch_fer(test_data, api_key=self.api_key)
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self.assertTrue(isinstance(response, list))
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self.assertTrue(isinstance(response[0], dict))
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def test_batch_fer_filepath(self):
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test_data = [os.path.normpath(os.path.join(DIR, "data/fear.png"))]
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response = batch_fer(test_data, api_key=self.api_key)
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self.assertTrue(isinstance(response, list))
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self.assertTrue(isinstance(response[0], dict))
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def test_batch_fer_nonexistant_filepath(self):
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test_data = ["data/unhappy.png"]
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self.assertRaises(ValueError, batch_fer, test_data, api_key=self.api_key)
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def test_batch_facial_features(self):
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test_data = [generate_array((48,48))]
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response = batch_facial_features(test_data, api_key=self.api_key)
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