-
Notifications
You must be signed in to change notification settings - Fork 0
/
model.py
35 lines (27 loc) · 1.15 KB
/
model.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
from tensorflow.keras.models import model_from_json
from tensorflow.python.keras.backend import set_session
import numpy as np
import tensorflow as tf
config = tf.compat.v1.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.15
session = tf.compat.v1.Session(config=config)
set_session(session)
class FacialExpressionModel(object):
EMOTIONS_LIST = ["Angry", "Disgust",
"Fear", "Happy",
"Neutral", "Sad",
"Surprise"]
def __init__(self, model_json_file, model_weights_file):
# load model from JSON file
with open(model_json_file, "r") as json_file:
loaded_model_json = json_file.read()
self.loaded_model = model_from_json(loaded_model_json)
#load weights into the new model
self.loaded_model.load_weights(model_weights_file)
self.loaded_model.compile()
self.loaded_model.make_predict_function()
def predict_emotion(self, img):
global session
set_session(session)
self.preds = self.loaded_model.predict(img)
return FacialExpressionModel.EMOTIONS_LIST[np.argmax(self.preds)]