def download_model(self):
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
storage.download_file_from_bucket(
AWS_BUCKET, os.path.join(LOCAL_MODEL_DIR, MODEL_FILE),
os.path.join(AWS_MODEL_DIR, MODEL_FILE))
storage.download_file_from_bucket(
AWS_BUCKET, os.path.join(LOCAL_MODEL_DIR, LABEL_FILE),
os.path.join(AWS_MODEL_DIR, LABEL_FILE))
def save_to_storage(image_info):
print('save_to_storage')
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
key = os.path.join(image_info.class_code,
image_info.name + '.' + image_info.format)
is_public = False
if image_info.main == 1:
is_public = True
storage.upload_file_to_bucket(AWS_BUCKET,
TMP_CROP_IMG_FILE,
key,
is_public=is_public)
print('save_to_storage done')
REDIS_PRODUCT_CLASSIFY_QUEUE = 'bl_product_classify_queue'
REDIS_OBJECT_INDEX_QUEUE = 'bl:object:index:queue'
REDIS_PRODUCT_HASH = 'bl:product:hash'
REDIS_PRODUCT_IMAGE_PROCESS_QUEUE = 'bl:product:image:process:queue'
REDIS_CRAWL_VERSION = 'bl:crawl:version'
REDIS_CRAWL_VERSION_LATEST = 'latest'
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-object-classifier')
rconn = redis.StrictRedis(REDIS_SERVER, decode_responses=False, port=6379, password=REDIS_PASSWORD)
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
heart_bit = True
product_api = Products()
object_api = Objects()
image_api = Images()
version_id = None
def analyze_product(p_data):
log.info('analyze_product')
product = pickle.loads(p_data)
try:
main_class_code, main_objects = analyze_main_image(product)
except Exception as e:
