tools/calibration/__main__.py

   1 """
   2 Copyright (C) 2018-2019 Intel Corporation
   3
   4 Licensed under the Apache License, Version 2.0 (the "License");
   5 you may not use this file except in compliance with the License.
   6 You may obtain a copy of the License at
   7
   8       http://www.apache.org/licenses/LICENSE-2.0
   9
  10 Unless required by applicable law or agreed to in writing, software
  11 distributed under the License is distributed on an "AS IS" BASIS,
  12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 See the License for the specific language governing permissions and
  14 limitations under the License.
  15 """
  16
  17 from argparse import ArgumentParser
  18
  19 import openvino.tools.calibration as calibration
  20 import openvino.tools.utils as utils
  21
  22
  23 def calibrate():
  24     config = calibration.CommandLineReader.read()
  25     network = calibration.Calibrator(config).run()
  26     network.serialize(config.output_model)
  27
  28
  29 def check_accuracy():
  30     config = calibration.CommandLineReader.read()
  31     calibrator = calibration.CalibratorFactory.create(config.precision, calibration.CalibratorConfiguration(config))
  32
  33     print("Collecting accuracy for {}...".format(config.model))
  34     result = calibrator.infer()
  35     print("Accuracy: {0:.4f}%".format(100.0 * result.metrics.accuracy))
  36
  37
  38 def collect_statistics():
  39     import os
  40     config = calibration.CommandLineReader.read()
  41     calibrator = calibration.CalibratorFactory.create(config.precision, calibration.CalibratorConfiguration(config))
  42
  43     print("Collecting FP32 statistics for {}...".format(config.model))
  44     fp32_result = calibrator.infer(add_outputs=True, collect_aggregated_statistics=True)
  45     print("FP32 accuracy: {0:.4f}%".format(100.0 * fp32_result.metrics.accuracy))
  46
  47     output_model_file_path = \
  48         os.path.splitext(config.model)[0] + ("_{}_statistics_without_ignored.xml".format(config.precision.lower()) if
  49                                              config.ignore_layer_names else
  50                                              "_{}_statistics.xml".format(config.precision.lower()))
  51     output_weights_file_path = utils.Path.get_weights(output_model_file_path)
  52
  53     quantization_levels = \
  54         calibrator.get_quantization_levels(calibration.CalibrationConfigurationHelper.read_ignore_layer_names(config))
  55     statistics = fp32_result.aggregated_statistics.get_node_statistics()
  56     calibrator.save(output_model_file_path, output_weights_file_path, quantization_levels, statistics)
  57     print("Network with statistics was written to {}.(xml|bin) IR file".format(os.path.splitext(output_model_file_path)[0]))
  58
  59
  60 def __build_arguments_parser():
  61     parser = ArgumentParser(description='Calibration Tool')
  62     parser.add_argument(
  63         'action',
  64         help='Optional, possible values: calibrate, collect_statistics or check_accuracy',
  65         nargs='?',
  66         choices=('calibrate', 'collect_statistics', 'check_accuracy'))
  67     return parser
  68
  69
  70 if __name__ == '__main__':
  71     parser, unknown_args = __build_arguments_parser().parse_known_args()
  72     if parser.action == 'calibrate':
  73         calibrate()
  74     elif parser.action == 'collect_statistics':
  75         collect_statistics()
  76     elif parser.action == 'check_accuracy':
  77         check_accuracy()
  78     else:
  79         calibrate()