speed-limit-signs

Identifying Speed Limits using CNNS

Big Kudos to

https://medium.com/@waleedka/traffic-sign-recognition-with-tensorflow-629dffc391a6#.i728o84ib

for providing the initial idea and many of the functions used to prepare and display the images

Local Installation for Notebooks (Works on Mac, Linux, and Ubuntu Subsystem for Windows 10)

• Install latest Anaconda for Python 3.6 (or later) https://www.continuum.io/downloads
• Update to latest version of sklearn conda install --name root scikit-learn
• Install TensorFlow: https://www.tensorflow.org/install/ conda install --name root -c conda-forge tensorflow
• Install Keras: https://keras.io/#installation pip install keras
• cd notebooks/local
• jupyter notebook

Troubleshooting

• If you see Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so. try conda install nomkl
• on a Windows Ubuntu (14) Subsystem you might see Invalid argument (src/tcp_address.cpp:190) then install conda install -c jzuhone zeromq=4.1.dev as indicated here microsoft/WSL#185

Local installation for Flask API server

• conda install flask
• Only for async offline processing: conda install -c anaconda redis=3.2.0
• Only for async offline processing: pip install 'celery[redis]'
• to make test calls to flask API (curl would also work): pip install httpie
  • example usage: http GET http://localhost:5000 url='https://raw.githubusercontent.com/DJCordhose/speed-limit-signs/master/data/real-world/0/30-slim.jpg'

Keras

• https://blog.keras.io/keras-as-a-simplified-interface-to-tensorflow-tutorial.html
• https://github.com/fchollet/keras/blob/master/README.md#getting-started-30-seconds-to-keras
• https://keras.io/getting-started/sequential-model-guide/
• https://github.com/fchollet/keras/tree/master/examples
• http://keras.io/getting-started/functional-api-guide
• https://github.com/fchollet/keras-resources