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CNN FOR TRAFFIC SIGN CLASSIFICATION
WHAT IS IT?
This is a own traffic sign classifier/recognizer capable of obtaining over 95% accuracy using Keras and Deep Learning by Using a bunch of Convolution layers followed by max pools Trained on GTSRB dataset.
HOW TO USE?
To run The Inference Script run this command
python run.py --model model.h5 --images /home/ubuntu/exp/unplugged/traffic-sign-recognition/dataset/Test --examples examples
For help, python run.py -h
| ARGUMENTS | DETAILS | HELP OPTIONS |
|---|---|---|
| --model | MODELPATH | Mention the model path |
| --images | INPUT | Mention the input directory path |
| --examples | OUTPUT | output Image Path |
WHAT ARE THE REQUIREMENTS?
To get all the requirements and dependencies installed run the command
For GPU - pip install -r gpu_requirements.txt
For CPU - pip install -r cpu_requirements.txt
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