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Automatic Rodent Identification in Camera Trap Images using Deep Convolutional Neural Networks - Capstone project 2016

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Capstone project 15.08.2016 - 01.12.2016

Automatic Rodent Identification in Camera Trap Images using Deep Convolutional Neural Networks

Train and test:

  • To train a model the given training directory must contain class folders with images. Example structure: rodentcam_training_10k_11c/Weasel/img.jpg
  • To predict test images, the training directory used to train the model must be given for the system to get appropriate class names.

Run:

Use -h command to see arguments.

THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python run.py

Dependencies:

Theano, Keras, Matplotlib, Numpy, Scikit-learn, OpenCV

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