mirror of
https://github.com/qurator-spk/eynollah.git
synced 2025-10-07 06:59:58 +02:00
34 lines
782 B
Python
34 lines
782 B
Python
|
import os
|
||
|
|
import sys
|
||
|
|
import tensorflow as tf
|
||
|
|
import keras , warnings
|
||
|
|
from keras.optimizers import *
|
||
|
|
from sacred import Experiment
|
||
|
|
from models import *
|
||
|
|
from utils import *
|
||
|
|
from metrics import *
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
def configuration():
|
||
|
|
gpu_options = tf.compat.v1.GPUOptions(allow_growth=True)
|
||
|
|
session = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(gpu_options=gpu_options))
|
||
|
|
|
||
|
|
|
||
|
|
if __name__=='__main__':
|
||
|
|
n_classes = 2
|
||
|
|
input_height = 224
|
||
|
|
input_width = 448
|
||
|
|
weight_decay = 1e-6
|
||
|
|
pretraining = False
|
||
|
|
dir_of_weights = 'model_bin_sbb_ens.h5'
|
||
|
|
|
||
|
|
#configuration()
|
||
|
|
|
||
|
|
model = resnet50_unet(n_classes, input_height, input_width,weight_decay,pretraining)
|
||
|
|
model.load_weights(dir_of_weights)
|
||
|
|
model.save('./name_in_another_python_version.h5')
|
||
|
|
|
||
|
|
|