def evaluate(self, path, model_path, label, Dict, IMSIZE):
model = load_model(model_path)
y_pre = []
y_true = []
for root, dirs, files in os.walk(path):
for dir in dirs:
for root1, dirs1, files1 in os.walk(path + "/" + dir):
for file in files1:
y_true.append(Dict[dir])
y_pre.append(
self.inference_label(model,
path + "/" + dir + "/" + file,
IMSIZE, label))
me = Metrics(y_pred=y_pre, y_true=y_true)
me.evaluate()
