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SVHN-Recognition

license Python application hf ms

This project is a PyTorch implementation that uses deep CNN to recognize multi-digit numbers using the SVHN dataset derived from Google Street View house numbers, each picture contains a set of numbers from 0 to 9, the model is tested to have 89% accuracy.

Environment

conda create -n svhn --yes --file conda.txt
conda activate svhn
pip install -r requirements.txt

Usage

  1. Clone the source code:
git clone git@github.com:MuGeminorum/SVHN-Recognition.git
cd SVHN-Recognition
  1. Run convert_to_lmdb.py
  2. Run train.py

Params

Steps GPU Batch Size Learning Rate Patience Decay Step Decay Rate Accuracy
122000 GTX 1080 Ti 512 0.01 100 625 0.9 89.21%

Training curve

Reference

[1] Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks