slim_cnn_test

Use tensorflow.contrib.slim to training a simple CNN classification model

代码将更新

Usage:

1.1 git clone this project

1.2 create a directory ./datasets/images/

1.3 generate training images:

python3 generate_train_data.py

1.4 generate tfrecord file:

python3 generate_tfrecord.py \
    --images_path ./datasets/images/ \
    --output_path ./datasets/train.record

1.5 create a directory ./training/

1.6 train CNN model:

python3 train.py \
    --record_path ./datasets/train.record \
    --logdir ./training/

1.7 visulize the loss curves:

tensorboard --logdir /home/.../training/

1.8 export frozen inference graph:

python3 export_inference_graph.py \
    --input_type image_tensor \
    --trained_checkpoint_prefix ./training/model.ckpt-xxx(num_steps) \
    --output_directory path/to/exported_model_directory

1.9 evaluate the trained model:

python3 evaluate.py \
    --frozen_graph_path path/to/exported_model_directory/frozen_inference_graph.pb