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.ipynb_checkpoints
GTSRB
.DS_Store
.gitignore
Convert to JPG.ipynb
Freeze Model.ipynb
README.md
See.ipynb
Train ConvNet.ipynb
build_image_data.py
freeze_graph.py
freeze_graph.pyc

README.md

Traffic Sign Classification

This is a convolutional neural network trained with TensorFlow to classify Traffic Signs.

Steps:

  1. Create the following folders: Save, Models and Log.
  2. Download both training and testing GTSRB datasets, add Final_Test and Final_Training to the GTSRB folder.
  3. Go to Convert to JPG notebook.
  4. Create TFRecords using build_image_data.py. Feel free to change flags like train_directory, validation_directory, output_directory and labels_file.
  5. Go to Train ConvNet.
  6. (Optional) Go to Freeze Model notebook to create a .pb file that can be used on iOS and Android apps.