# coding: utf-8
# Copyright (C) 2021, [Breezedeus](https://github.com/breezedeus).
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# 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.

import torch

from cnocr.consts import IMG_STANDARD_HEIGHT, ENG_LETTERS, VOCAB_FP
from cnocr.utils import read_charset, pad_img_seq, load_model_params, read_img, rescale_img, normalize_img_array
from cnocr.models.densenet import DenseNet
from cnocr.models.ocr_model import OcrModel


def test_crnn():
    width = 280
    img = torch.rand(4, 1, IMG_STANDARD_HEIGHT, width)
    net = DenseNet(32, [2, 2, 2, 2], 64)
    net.eval()
    res = net(img)
    print(res.shape)

    crnn = OcrModel(net, vocab=ENG_LETTERS, lstm_features=512, rnn_units=128)
    res2 = crnn(img)
    print(res2)

# coding: utf-8
# Copyright (C) 2021, [Breezedeus](https://github.com/breezedeus).
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# 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.

import torch

from cnocr.consts import IMG_STANDARD_HEIGHT, ENG_LETTERS, VOCAB_FP
from cnocr.utils import read_charset, pad_img_seq, load_model_params, read_img, rescale_img, normalize_img_array
from cnocr.models.densenet import DenseNet
from cnocr.models.ocr_model import OcrModel


def test_crnn():
    width = 280
    img = torch.rand(4, 1, IMG_STANDARD_HEIGHT, width)
    net = DenseNet(32, [2, 2, 2, 2], 64)
    net.eval()
    res = net(img)
    print(res.shape)

    crnn = OcrModel(net, vocab=ENG_LETTERS, lstm_features=512, rnn_units=128)
    res2 = crnn(img)
    print(res2)

# coding: utf-8 # Copyright (C) 2021, [Breezedeus](https://github.com/breezedeus). # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements.  See the NOTICE file # distributed with this work for additional information # regarding copyright ownership.  The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License.  You may obtain a copy of the License at # #   http://www.apache.org/licenses/LICENSE-2.0 # # 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.