├── .gitignore ├── Imagenet-Bundle ├── age_gender │ ├── build_dataset.py │ ├── config │ │ ├── __init__.py │ │ ├── age_gender_config.py │ │ └── age_gender_deploy.py │ ├── test_accuracy.py │ ├── test_prediction.py │ ├── train.py │ └── vis_classification.py ├── car_classification │ ├── build_dataset.py │ ├── config │ │ ├── __init__.py │ │ └── car_config.py │ ├── fine_tune_cars.py │ ├── test_cars.py │ └── vis_classification.py ├── chapter16 │ └── ssds_and_rcnn │ │ ├── build_lisa_records.py │ │ ├── config │ │ ├── __init__.py │ │ └── lisa_config.py │ │ ├── predict.py │ │ ├── predict_video.py │ │ └── setup.sh ├── chapter18 │ └── ssds_and_rcnn │ │ ├── build_vehicle_records.py │ │ ├── config │ │ ├── __init__.py │ │ └── dlib_front_rear_config.py │ │ ├── predict.py │ │ └── predict_video.py ├── emotion_recognition │ ├── build_dataset.py │ ├── config │ │ ├── __init__.py │ │ └── emotion_config.py │ ├── emotion_detector.py │ ├── fer2013 │ │ ├── README │ │ └── fer2013.bib │ ├── haarcascade_frontface_default.xml │ ├── test_recognizer.py │ └── train_recognizer.py ├── image_orientation │ ├── creat_dataset.py │ ├── extract_features.py │ ├── orient_images.py │ └── train_model.py ├── mx_imagenet_alexnet │ ├── build_imagenet.py │ ├── config │ │ ├── __init__.py │ │ └── imagnet_alexnet_config.py │ ├── test_alexnet.py │ └── train_alexnet.py └── pyimagesearch │ ├── __init__.py │ ├── callbacks │ ├── __init__.py │ └── trainingmonitor.py │ ├── io │ ├── __init__.py │ ├── hdf5datasetgenerator.py │ └── hdf5datasetwriter.py │ ├── nn │ ├── __init__.py │ ├── alexnet.py │ ├── conv │ │ ├── __init__.py │ │ ├── alexnet.py │ │ ├── deepergooglenet.py │ │ ├── emotionvggnet.py │ │ ├── fcheadnet.py │ │ ├── lenet.py │ │ ├── minigooglenet.py │ │ ├── minivggnet.py │ │ ├── resnet.py │ │ └── shallownet.py │ ├── fcheadnet.py │ ├── minigooglenet.py │ ├── mxconv │ │ ├── __init__.py │ │ └── mxalexnet.py │ ├── neuralnetwork.py │ ├── perceptron.py │ └── train_alexnet.py │ ├── preprocessing │ ├── __init__.py │ ├── aspectawarepreprocessor.py │ ├── croppreprocessor.py │ ├── imagetoarraypreprocessor.py │ ├── meanpreprocessor.py │ ├── patchpreprocessor.py │ └── simplepreprocessor.py │ └── utils │ ├── __init__.py │ ├── agegenderhelper.py │ ├── captchahelper.py │ ├── imagenethelper.py │ ├── ranked.py │ └── tfannotation.py ├── Practitioner-Bundle ├── Chapter02 │ ├── augmentation_demo.py │ ├── minivggnet_flowers17.py │ ├── minivggnet_flowers17_data_aug.py │ └── testAspectAware.py ├── Chapter03 │ ├── extract_features.py │ └── train_model.py ├── Chapter04 │ └── rank_accuracy.py ├── Chapter05 │ ├── finetune_flowers17.py │ └── inspect_model.py ├── Chapter06 │ ├── output │ │ ├── model_0.txt │ │ └── model_1.txt │ ├── test_ensemble.py │ └── train_models.py ├── Chapter12 │ ├── resnet_cifar10.py │ └── resnet_cifar10_decay.py ├── changeDir.bat ├── deepergooglenet │ ├── build_tiny_imagenet.py │ ├── config │ │ ├── __init__.py │ │ └── tiny_imagenet_config.py │ ├── googlenet_cifar10.py │ ├── output │ │ └── tiny-image-net-200-mean.json │ ├── rank_accuracy.py │ └── train.py ├── dogs_vs_cats │ ├── build_dogs_vs_cats.py │ ├── config │ │ ├── __init__.py │ │ └── dogs_vs_cats_config.py │ ├── crop_accuracy.py │ ├── extract_features.py │ ├── output │ │ ├── __init__.py │ │ └── dogs_vs_cats_mean.json │ ├── train_alexnet.py │ └── train_model.py ├── pyimagesearch │ ├── __init__.py │ ├── callbacks │ │ ├── __init__.py │ │ └── trainingmonitor.py │ ├── io │ │ ├── __init__.py │ │ ├── hdf5datasetgenerator.py │ │ └── hdf5datasetwriter.py │ ├── nn │ │ ├── __init__.py │ │ ├── alexnet.py │ │ ├── conv │ │ │ ├── __init__.py │ │ │ ├── alexnet.py │ │ │ ├── deepergooglenet.py │ │ │ ├── fcheadnet.py │ │ │ ├── lenet.py │ │ │ ├── minigooglenet.py │ │ │ ├── minivggnet.py │ │ │ ├── resnet.py │ │ │ └── shallownet.py │ │ ├── fcheadnet.py │ │ ├── minigooglenet.py │ │ ├── neuralnetwork.py │ │ ├── perceptron.py │ │ └── train_alexnet.py │ ├── preprocessing │ │ ├── __init__.py │ │ ├── aspectawarepreprocessor.py │ │ ├── croppreprocessor.py │ │ ├── imagetoarraypreprocessor.py │ │ ├── meanpreprocessor.py │ │ ├── patchpreprocessor.py │ │ └── simplepreprocessor.py │ └── utils │ │ ├── __init__.py │ │ ├── captchahelper.py │ │ └── ranked.py ├── resnet_tinyimagenet │ ├── config │ │ ├── __init__.py │ │ └── tiny_imagenet_config.py │ ├── output │ │ └── tiny-image-net-200-mean.json │ ├── rank_accuracy.py │ ├── train.py │ └── train_decay.py └── run_scripts.ipynb ├── README.md └── startbundle ├── Chapter07 └── knn.py ├── Chapter08 └── linearexample.py ├── Chapter09 ├── gradient_descent.py ├── regularization.py └── sgd.py ├── Chapter10 ├── keras_cifar10.py ├── keras_mnist.py ├── nn_mnist.py ├── nn_xor.py ├── perceptron_and.py ├── perceptron_or.py └── perceptron_xor.py ├── Chapter11 └── convolutions.py ├── Chapter12 ├── shallownet_animals.py └── shallownet_cifar10.py ├── Chapter13 ├── Untitled.ipynb ├── shallownet_load.py └── shallownet_train.py ├── Chapter14 └── lenet_mnist.py ├── Chapter15 └── minivggnet_cifar10.py ├── Chapter16 └── cifar10_lr_decay.py ├── Chapter17 └── cifar10_monitor.py ├── Chapter18 ├── animal_checkpoint_improvements.py ├── cifar10_checkpoint_best.py └── cifar10_checkpoint_improvements.py ├── Chapter19 └── visualize_architecture.py ├── Chapter20 └── imagenet_pretrained.py ├── Chapter21 ├── annotate.py ├── download_images.py ├── test_model.py └── train_model.py ├── Chapter22 ├── detect_smile.py ├── haarcascade_frontalface_default.xml └── train_model.py ├── Starter-Bundle.ipynb ├── changeDir.bat └── pyimagesearch ├── __init__.py ├── callbacks ├── __init__.py └── trainingmonitor.py ├── nn ├── __init__.py ├── conv │ ├── __init__.py │ ├── lenet.py │ ├── minivggnet.py │ └── shallownet.py ├── neuralnetwork.py └── perceptron.py ├── preprocessing ├── __init__.py ├── imagetoarraypreprocessor.py └── simplepreprocessor.py └── utils ├── __init__.py └── captchahelper.py /.gitignore: -------------------------------------------------------------------------------- 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