CCDeep package

Subpackages

Submodules

CCDeep.config module

项目的一些基础参数配置，包括训练数据集的存放位置，模型的存放位置等

CCDeep.evaluate module

用于评估和检验输出模型的预测能力

CCDeep.evaluate.evaluate()

CCDeep.evaluate.read_img(dic_img_path, mcy_img_path)

CCDeep.prediction module

CCDeep.prepare_data module

CCDeep.prepare_data.generate_datasets(train_mcy, valid_mcy, test_mcy)

CCDeep.prepare_data.generate_datasets_20x()

CCDeep.prepare_data.generate_datasets_60x()

CCDeep.prepare_data.get_dataset(dataset_root_dir_mcy)

CCDeep.prepare_data.get_images_and_labels(data_root_dir)

CCDeep.prepare_data.read_img(img_path, img_label): read image data from path dataset, this function's return will be organized for real training dataset.

CCDeep.prepare_data.read_img_dev(img_path, img_label): Develop features, embed data augmentation, based on the image path and label dataset, do the augmentation for each batch during read image, and then return the augmented dataset

CCDeep.prepare_data.wrap_function(mcy, y): wrap function for tensor and numpy transform

CCDeep.refiner module

CCDeep.resolver module

CCDeep.track module

CCDeep.train module

CCDeep.utils module

Module contents