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README.md
README.md
 
 
create_tfrecord.sh
create_tfrecord.sh
 
 
download_COCO.sh
download_COCO.sh
 
 
download_VOC.sh
download_VOC.sh
 
 
download_classification_Pre-trained_Models.sh
download_classification_Pre-trained_Models.sh
 
 
download_classification_mobile.sh
download_classification_mobile.sh
 
 
download_detection_model.sh
download_detection_model.sh
 
 
download_imagenet-data.sh
download_imagenet-data.sh
 
 
download_kitti.sh
download_kitti.sh
 
 
download_pet_dataset.sh
download_pet_dataset.sh
 
 
export_interface_graph.sh
export_interface_graph.sh
 
 
export_interface_graph_for_mobilenet.sh
export_interface_graph_for_mobilenet.sh
 
 
export_interface_graph_for_squeezenet.sh
export_interface_graph_for_squeezenet.sh
 
 
export_mobilenet.sh
export_mobilenet.sh
 
 
finetune_inception_resnet_v2_on_flowers.sh
finetune_inception_resnet_v2_on_flowers.sh
 
 
finetune_inception_v1_on_flowers.sh
finetune_inception_v1_on_flowers.sh
 
 
finetune_inception_v3_on_flowers.sh
finetune_inception_v3_on_flowers.sh
 
 
finetune_mobilenet_v1_on_flowers.sh
finetune_mobilenet_v1_on_flowers.sh
 
 
finetune_resnet_v1_50_on_flowers.sh
finetune_resnet_v1_50_on_flowers.sh
 
 
finetune_shufflenet_on_flowers.sh
finetune_shufflenet_on_flowers.sh
 
 
finetune_shufflenet_on_imagenet.sh
finetune_shufflenet_on_imagenet.sh
 
 
finetune_squeezenet_on_flowers.sh
finetune_squeezenet_on_flowers.sh
 
 
finetune_squeezenet_on_imagenet.sh
finetune_squeezenet_on_imagenet.sh
 
 
generate_validation.sh
generate_validation.sh
 
 
run.sh
run.sh
 
 
run_create_kitti_tf_record.sh
run_create_kitti_tf_record.sh
 
 
run_create_pascal_tf_record.sh
run_create_pascal_tf_record.sh
 
 
run_download_and_preprocess_mscoco.sh
run_download_and_preprocess_mscoco.sh
 
 
train_cifarnet_on_cifar10.sh
train_cifarnet_on_cifar10.sh
 
 
train_lenet_on_mnist.sh
train_lenet_on_mnist.sh
 
 

README.md

1,train_lenet_on_mnist.sh train and eval the lenet by dataset of mnist,you should set TRAIN_DIR and DATASET_DIR

2,train_cifarnet_on_cifar10.sh train and eval the cifarnet by dataset of cifar10,you should set TRAIN_DIR and DATASET_DIR

3,finetune_mobilenet_v1_on_flowers.sh finetune ,train and eval the mobilenet_v1 by dataset of flowers,you should set TRAIN_DIR and DATASET_DIR.when finetuning the mobilenet, you must download mobilenet_v1_1.0_224_2017_06_14.tar.gz and set PRETRAINED_CHECKPOINT_DIR