def test_vision_recognize(self):
vr = VisionRecognizer()
labels = vr.recognize("http://visual-recognition-demo.mybluemix.net/images/73388.jpg")
self.assertTrue(len(labels) > 0)
print(labels)
vlabels = vr.recognize("http://visual-recognition-demo.mybluemix.net/images/73388.jpg", "Animal")
print(vlabels)
self.assertTrue(len(labels[0]) > len(vlabels[0]))
def test_get_images(self):
vr = VisionRecognizer()
urls = ["http://visual-recognition-demo.mybluemix.net/images/73388.jpg",
"http://visual-recognition-demo.mybluemix.net/images/67528.jpg"]
fname, image = vr._get_images(urls, "imageFile.jpg")
self.assertTrue("imageFile.zip", fname)
self.assertTrue(isinstance(image, bytes))
def rekognize(image_url):
vr = VisionRecognizer()
result = vr.recognize(image_url)
tag_and_score = {}
if "images" in result:
labels = result["images"][0]["labels"]
for lb in labels:
tag_and_score[lb["label_name"]] = lb["label_score"]
return tag_and_score
def test_get_images(self):
vr = VisionRecognizer()
urls = [
"http://visual-recognition-demo.mybluemix.net/images/73388.jpg",
"http://visual-recognition-demo.mybluemix.net/images/67528.jpg"
]
fname, image = vr._get_images(urls, "imageFile.jpg")
self.assertTrue("imageFile.zip", fname)
self.assertTrue(isinstance(image, bytes))
def test_vision_recognize(self):
vr = VisionRecognizer()
labels = vr.recognize(
"http://visual-recognition-demo.mybluemix.net/images/73388.jpg")
self.assertTrue(len(labels) > 0)
print(labels)
vlabels = vr.recognize(
"http://visual-recognition-demo.mybluemix.net/images/73388.jpg",
"Animal")
print(vlabels)
self.assertTrue(len(labels[0]) > len(vlabels[0]))
def photo2mood(image_urls):
vr = VisionRecognizer()
photo_to_mood = MachineLoader.load(machines.photo_mood)
TARGET_LABELS = ['Boat', 'Human', 'Insect', 'Invertebrate', 'Mammal', 'Man Made Scene', 'Outdoors', 'People Activity', 'Placental Mammal', 'Vertebrate']
moods = Counter()
matrix = vr.recognize(image_urls).to_matrix(TARGET_LABELS)
for r in matrix:
mood = photo_to_mood.predict(r)[0]
moods[int(mood)] += 1
target_mood = moods.most_common(1)[0][0] # get top and its score
target_mood = Echonest.MOOD[target_mood]
return target_mood
def test_vision_recognize_multi(self):
vr = VisionRecognizer()
urls = ["http://visual-recognition-demo.mybluemix.net/images/73388.jpg",
"http://visual-recognition-demo.mybluemix.net/images/67528.jpg"]
result = vr.recognize(urls)
self.assertEqual(len(urls), len(result))
targets = ["Windmill", "Auto Racing"]
matrix = result.to_matrix(targets)
self.assertEqual(result[0]["Windmill"], matrix[0][0])
self.assertEqual(result[1]["Auto Racing"], matrix[1][1])
self.assertEqual(0, matrix[0][1])
self.assertEqual(0, matrix[1][0])
def test_vision_recognize_multi(self):
vr = VisionRecognizer()
urls = [
"http://visual-recognition-demo.mybluemix.net/images/73388.jpg",
"http://visual-recognition-demo.mybluemix.net/images/67528.jpg"
]
result = vr.recognize(urls)
self.assertEqual(len(urls), len(result))
targets = ["Windmill", "Auto Racing"]
matrix = result.to_matrix(targets)
self.assertEqual(result[0]["Windmill"], matrix[0][0])
self.assertEqual(result[1]["Auto Racing"], matrix[1][1])
self.assertEqual(0, matrix[0][1])
self.assertEqual(0, matrix[1][0])
def photo2mood(image_urls):
vr = VisionRecognizer()
photo_to_mood = MachineLoader.load(machines.photo_mood)
TARGET_LABELS = [
'Boat', 'Human', 'Insect', 'Invertebrate', 'Mammal', 'Man Made Scene',
'Outdoors', 'People Activity', 'Placental Mammal', 'Vertebrate'
]
moods = Counter()
matrix = vr.recognize(image_urls).to_matrix(TARGET_LABELS)
for r in matrix:
mood = photo_to_mood.predict(r)[0]
moods[int(mood)] += 1
target_mood = moods.most_common(1)[0][0] # get top and its score
target_mood = Echonest.MOOD[target_mood]
return target_mood
def test_get_labels(self):
vr = VisionRecognizer()
labels = vr.get_labels("Vehicle")
self.assertTrue(len(labels) > 0)
print(labels)
def test_get_labels(self):
vr = VisionRecognizer()
labels = vr.get_labels("Vehicle")
self.assertTrue(len(labels) > 0)
print(labels)