GitHub - scottgHDS/GTSRB_tf1_pickle_nxn: This repository provides tools to preprocess and pickle the GTSRB dataset into custom dimensions for efficient reuse. It also includes a TensorFlow 1-based classifier that uses the pickled dataset for training and evaluation. Designed for researchers and developers working with traffic sign recognition tasks.

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This repository provides tools to preprocess and pickle the GTSRB dataset into custom dimensions for efficient reuse. It also includes a TensorFlow 1-based classifier that uses the pickled dataset for training and evaluation. Designed for researchers and developers working with traffic sign recognition tasks.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
LICENSE		LICENSE
README.txt		README.txt
googLeNetMaker.py		googLeNetMaker.py
img2pkle.py		img2pkle.py
nxnDatasetMaker.py		nxnDatasetMaker.py
operations.py		operations.py
preprocess.py		preprocess.py
requirements.txt		requirements.txt

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Parts of this code for training and evaluating the TensorFlow model were adapted from publicly available TensorFlow 1.x image classification tutorials and Udacity’s Self-Driving Car Nanodegree projects.
One particularly helpful repo was https://github.com/liferlisiqi/Traffic-Sign-Classifier/tree/master