:mod:`blueoil.cmd.convert` ========================== .. py:module:: blueoil.cmd.convert Module Contents --------------- Functions ~~~~~~~~~ .. autoapisummary:: blueoil.cmd.convert.create_output_directory blueoil.cmd.convert.get_output_directories blueoil.cmd.convert._build_options blueoil.cmd.convert._output_binary_name blueoil.cmd.convert.strip_binary blueoil.cmd.convert.make_all blueoil.cmd.convert.run blueoil.cmd.convert.convert .. function:: create_output_directory(output_root_dir, output_template_dir=None) Create output directory from template. :param output_root_dir: :param output_template_dir: (Default value = None) Returns: .. function:: get_output_directories(output_root_dir) :param output_root_dir: Returns: .. function:: _build_options(arch, use_fpga, target) .. function:: _output_binary_name(arch, use_fpga, target) .. function:: strip_binary(arch, use_fpga, target) Strip binary file. :param output: .. function:: make_all(project_dir, output_dir) Make each target. :param project_dir: Path to project directory :type project_dir: str :param output_dir: Path to output directory :type output_dir: str .. function:: run(experiment_id, restore_path, output_template_dir=None, image_size=(None, None), project_name=None, test_image=DEFAULT_INFERENCE_TEST_DATA_IMAGE, save_npy_for_debug=True) Convert from trained model. :param experiment_id: :param restore_path: :param output_template_dir: (Default value = None) :param image_size: (Default value = None) :param project_name: (Default value = None) :param test_image: (Default value = DEFAULT_INFERENCE_TEST_DATA_IMAGE) :returns: Path of exported dir. (i.e. `(path to saved)/saved/det_20190326181434/export/save.ckpt-161/128x128/output/`) :rtype: str .. function:: convert(experiment_id, checkpoint=None, template=None, image_size=(None, None), project_name=None, test_image=DEFAULT_INFERENCE_TEST_DATA_IMAGE, save_npy_for_debug=True)