def train():
model = lstm_model(config.seq_len, config.cell_num)
# callback
early_stopping = EarlyStopping(monitor='val_loss', patience=3)
model_checkpoint = ModelCheckpoint(config.ckpt_path, save_best_only=True, save_weights_only=True)
metrics = Metrics()
dataset = Datasets.Dataset()
hist = model.fit(dataset.train_data,
dataset.train_label,
batch_size=config.batch_size,
epochs=config.epoch_size,
shuffle=True,
validation_split=config.val_split,
callbacks=[early_stopping, model_checkpoint, metrics])
with open(config.log_path, 'w') as f:
f.write(str(hist.history) + '\n')
f.write(str(metrics.val_f1s) + '\n')
f.write(str(metrics.val_precisions) + '\n')
f.write(str(metrics.val_recalls) + '\n')
score, acc = model.evaluate(dataset.test_data,
dataset.test_label,
batch_size=config.batch_size)
print(score, acc)
def __init__(self):
# datasets
self.dataset = Datasets.Dataset(
'/datasets/UCF101/jpegs_256',
'/datasets/UCF101/UCF_list',
'04',
'spatial_dmd',
30,
24,
)
self.train_loader = self.dataset.get_loader('train')
self.test_loader = self.dataset.get_loader('test')
# networks
self.net = Networks.Network(in_channels=13,
out_classes=10,
pretrain_path='./zoo/spatial_pretrain.pth')
# -*- coding: utf-8 -*-
"""
Created on Fri May 1 12:06:50 2015
@author: daniel
"""
import Datasets as ds
rawdata = ds.Dataset(
"/home/daniel/data/datasets/UnderstandingSociety/tab/a_indresp.tab")