# limitations under the License.
#
from core.model import ModelWrapper
from maxfw.core import MAX_API, PredictAPI
from config import ERR_MSG
from flask import send_file, abort
from werkzeug.datastructures import FileStorage
import io
import numpy as np
import base64
# Set up parser for input data
input_parser = MAX_API.parser()
input_parser.add_argument('image',
type=FileStorage,
location='files',
required=True,
help="Black and white JPEG or PNG image to colorize")
class ModelPredictAPI(PredictAPI):
model_wrapper = ModelWrapper()
@MAX_API.doc('predict')
@MAX_API.expect(input_parser)
def post(self):
"""Make a prediction given input data"""
from core.model import ModelWrapper
from flask_restplus import fields
from werkzeug.datastructures import FileStorage
from maxfw.core import MAX_API, PredictAPI
# Set up parser for input data (http://flask-restplus.readthedocs.io/en/stable/parsing.html)
input_parser = MAX_API.parser()
input_parser.add_argument('image', type=FileStorage, location='files', required=True, help="An image file (RGB/HWC)")
label_prediction = MAX_API.model('LabelPrediction', {
'label_id': fields.String(required=False, description='Class label identifier'),
'label': fields.String(required=True, description='Class label'),
'probability': fields.Float(required=True, description='Predicted probability for the class label')
})
predict_response = MAX_API.model('ModelPredictResponse', {
'status': fields.String(required=True, description='Response status message'),
'predictions': fields.List(fields.Nested(label_prediction), description='Predicted class labels and probabilities')
})
class ModelPredictAPI(PredictAPI):
model_wrapper = ModelWrapper()
@MAX_API.doc('predict')
@MAX_API.expect(input_parser)
@MAX_API.marshal_with(predict_response)
def post(self):
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from maxfw.core import MAX_API, PredictAPI
from core.model import ModelWrapper
from flask import abort
from flask_restplus import fields
from werkzeug.datastructures import FileStorage
# Set up parser for image input data
image_parser = MAX_API.parser()
image_parser.add_argument('image',
type=FileStorage,
location='files',
required=True,
help="An image file")
label_prediction = MAX_API.model(
'LabelPrediction', {
'index':
fields.String(required=False,
description='Labels ranked by highest probability'),
'caption':
fields.String(required=True, description='Caption generated by image'),
'probability':
fields.Float(required=True, description="Probability of the caption")
fields.String(required=True, description='Class label'),
'probability':
fields.Float(required=True)
})
predict_response = MAX_API.model(
'ModelPredictResponse', {
'status':
fields.String(required=True, description='Response status message'),
'predictions':
fields.List(fields.Nested(label_prediction),
description='Predicted labels and probabilities')
})
# set up parser for image input data
video_parser = MAX_API.parser()
video_parser.add_argument('video',
type=FileStorage,
location='files',
required=True,
help="MPEG-4 video file to run predictions on")
@MAX_API.route('/predict')
class ModelPredictAPI(PredictAPI):
model_wrapper = ModelWrapper()
@MAX_API.doc('predict')
@MAX_API.expect(video_parser)
@MAX_API.marshal_with(predict_response)
