def test_batch_multi_api_image(self):
test_data = [os.path.normpath(os.path.join(DIR, "data/48by48.png")),
os.path.normpath(os.path.join(DIR, "data/48by48.png"))]
response = analyze_image(test_data, apis=config.IMAGE_APIS, api_key=self.api_key)
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(config.IMAGE_APIS))
self.assertTrue(isinstance(response["fer"], list))
def test_multi_api_image(self):
test_data = os.path.normpath(os.path.join(DIR, "data/48by48.png"))
response = analyze_image(test_data, apis=IMAGE_APIS.keys())
self.assertTrue(isinstance(response, dict))
self.assertTrue(set(response.keys()) == set(IMAGE_APIS.keys()))
indicoio.fer(pixel_array)
#facial recognition
import indicoio
indicoio.config.api_key = '75b93ed62df0c77a6e58c8ebb1bb71f2'
# single example
indicoio.fer("<IMAGE>")
# batch example
indicoio.fer([
"<IMAGE>",
"<IMAGE>"
])
#multiple
import indicoio
indicoio.config.api_key = '75b93ed62df0c77a6e58c8ebb1bb71f2'
# single example
indicoio.analyze_image("<IMAGE>", apis=["image_features", "fer","content_filtering])
# batch example
indicoio.analyze_image([
"<IMAGE>",
"<IMAGE>"
], apis=["image_features", "fer"])