def index():
"""
Index images
"""
logging.info(
"Starting with images present in {} storing index in {}".format(
DATA_PATH, INDEX_PATH))
try:
os.mkdir(INDEX_PATH)
except:
print "Could not created {}, if its on /mnt/ have you set correct permissions?".format(
INDEX_PATH)
raise ValueError
inception.load_network()
count = 0
start = time.time()
with inception.tf.Session() as sess:
for image_data in inception.get_batch(DATA_PATH):
logging.info("Batch with {} images loaded in {} seconds".format(
len(image_data),
time.time() - start))
start = time.time()
count += 1
features, files = inception.extract_features(image_data, sess)
logging.info("Batch with {} images processed in {} seconds".format(
len(features),
time.time() - start))
start = time.time()
inception.store_index(features, files, count, INDEX_PATH)
def test():
inception.load_network()
count = 0
start = time.time()
test_images = os.path.join(os.path.dirname(__file__), 'tests/images')
test_index = os.path.join(os.path.dirname(__file__), 'tests/index')
try:
shutil.rmtree(test_index)
except:
pass
os.mkdir(test_index)
with inception.tf.Session() as sess:
for image_data in inception.get_batch(test_images, batch_size=2):
# batch size is set to 2 to distinguish between latency associated with first batch
if len(image_data):
print "Batch with {} images loaded in {} seconds".format(
len(image_data),
time.time() - start)
start = time.time()
count += 1
features, files = inception.extract_features(image_data, sess)
print "Batch with {} images processed in {} seconds".format(
len(features),
time.time() - start)
start = time.time()
inception.store_index(features, files, count, test_index)
def index():
"""
Index images
"""
inception.load_network()
count = 0
with inception.tf.Session() as sess:
for image_data in inception.get_batch():
logging.info("starting feature extraction batch {}".format(len(image_data)))
count += 1
features,files = inception.extract_features(image_data,sess)
print len(features)
def index():
"""
Index images
"""
inception.load_network()
count = 0
with inception.tf.Session() as sess:
for image_data in inception.get_batch():
logging.info("starting feature extraction batch {}".format(
len(image_data)))
count += 1
features, files = inception.extract_features(image_data, sess)
print len(features)
def index():
"""
Index images
"""
inception.load_network()
count = 0
start = time.time()
with inception.tf.Session() as sess:
for image_data in inception.get_batch():
logging.info("Batch with {} images loaded in {} seconds".format(len(image_data),time.time()-start))
start = time.time()
count += 1
features,files = inception.extract_features(image_data,sess)
logging.info("Batch with {} images processed in {} seconds".format(len(features),time.time()-start))
start = time.time()
def index():
"""
Index images
"""
logging.info("Starting with images present in {} storing index in {}".format(DATA_PATH,INDEX_PATH))
try:
os.mkdir(INDEX_PATH)
except:
print "Could not created {}, if its on /mnt/ have you set correct permissions?".format(INDEX_PATH)
raise ValueError
inception.load_network()
count = 0
start = time.time()
with inception.tf.Session() as sess:
for image_data in inception.get_batch(DATA_PATH):
logging.info("Batch with {} images loaded in {} seconds".format(len(image_data),time.time()-start))
start = time.time()
count += 1
features,files = inception.extract_features(image_data,sess)
logging.info("Batch with {} images processed in {} seconds".format(len(features),time.time()-start))
start = time.time()
inception.store_index(features,files,count,INDEX_PATH)