infer_rec.py 4.1 KB
Newer Older
L
LDOUBLEV 已提交
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 36 37 38 39 40 41 42 43 44 45 46 47
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed 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.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import time
import multiprocessing
import numpy as np

def set_paddle_flags(**kwargs):
    for key, value in kwargs.items():
        if os.environ.get(key, None) is None:
            os.environ[key] = str(value)


# NOTE(paddle-dev): All of these flags should be
# set before `import paddle`. Otherwise, it would
# not take any effect.
set_paddle_flags(
    FLAGS_eager_delete_tensor_gb=0,  # enable GC to save memory
)

from paddle import fluid

# from ppocr.utils.utility import load_config, merge_config
import program
from paddle import fluid
from ppocr.utils.utility import initial_logger
logger = initial_logger()
from ppocr.data.reader_main import reader_main
from ppocr.utils.save_load import init_model
from ppocr.utils.character import CharacterOps
from ppocr.utils.utility import create_module
T
tink2123 已提交
48
from ppocr.utils.utility import get_image_file_list
L
LDOUBLEV 已提交
49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79
logger = initial_logger()


def main():
    config = program.load_config(FLAGS.config)
    program.merge_config(FLAGS.opt)
    logger.info(config)
    char_ops = CharacterOps(config['Global'])
    config['Global']['char_ops'] = char_ops

    # check if set use_gpu=True in paddlepaddle cpu version
    use_gpu = config['Global']['use_gpu']
    #     check_gpu(use_gpu)

    place = fluid.CUDAPlace(0) if use_gpu else fluid.CPUPlace()
    exe = fluid.Executor(place)

    rec_model = create_module(config['Architecture']['function'])(params=config)

    startup_prog = fluid.Program()
    eval_prog = fluid.Program()
    with fluid.program_guard(eval_prog, startup_prog):
        with fluid.unique_name.guard():
            _, outputs = rec_model(mode="test")
            fetch_name_list = list(outputs.keys())
            fetch_varname_list = [outputs[v].name for v in fetch_name_list]
    eval_prog = eval_prog.clone(for_test=True)
    exe.run(startup_prog)

    init_model(config, eval_prog, exe)

T
tink2123 已提交
80
    blobs = reader_main(config, 'test')()
T
tink2123 已提交
81 82
    infer_img = config['TestReader']['infer_img']
    infer_list = get_image_file_list(infer_img)
T
tink2123 已提交
83 84 85 86 87 88
    max_img_num = len(infer_list)
    if len(infer_list) == 0:
        logger.info("Can not find img in infer_img dir.")
    for i in range(max_img_num):
        print("infer_img:",infer_list[i])
        img = next(blobs)
L
LDOUBLEV 已提交
89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107
        predict = exe.run(program=eval_prog,
                          feed={"image": img},
                          fetch_list=fetch_varname_list,
                          return_numpy=False)

        preds = np.array(predict[0])
        if preds.shape[1] == 1:
            preds = preds.reshape(-1)
            preds_lod = predict[0].lod()[0]
            preds_text = char_ops.decode(preds)
        else:
            end_pos = np.where(preds[0, :] == 1)[0]
            if len(end_pos) <= 1:
                preds_text = preds[0, 1:]
            else:
                preds_text = preds[0, 1:end_pos[1]]
            preds_text = preds_text.reshape(-1)
            preds_text = char_ops.decode(preds_text)

T
tink2123 已提交
108 109
        print("\t index:",preds)
        print("\t word :",preds_text)
L
LDOUBLEV 已提交
110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129

    # save for inference model
    target_var = []
    for key, values in outputs.items():
        target_var.append(values)

    fluid.io.save_inference_model(
        "./output/",
        feeded_var_names=['image'],
        target_vars=target_var,
        executor=exe,
        main_program=eval_prog,
        model_filename="model",
        params_filename="params")


if __name__ == '__main__':
    parser = program.ArgsParser()
    FLAGS = parser.parse_args()
    main()