Visió Artificial: Guillem Pascual i Cristian Muriel

Our pre-trained caffemodel might be downloaded from, by iterations number:

• 5000: https://www.dropbox.com/s/8mcnj8j5hhytn6z/bsaor_iter_5000.caffemodel?dl=0
• 10000: https://www.dropbox.com/s/yw5535ckknlo17d/bsaor_iter_10000.caffemodel?dl=0
• 15000: https://www.dropbox.com/s/g5gh7lmab31d0x5/bsaor_iter_15000.caffemodel?dl=0
• 20000: https://www.dropbox.com/s/vuxo1ayux971z84/bsaor_iter_20000.caffemodel?dl=0
• 25000: https://www.dropbox.com/s/y81588ziy4iglyj/bsaor_iter_25000.caffemodel?dl=0

And be freely used. We would, however, appreciate being cited, as does caffe.

You must have python (2.7 is strongly recommended, might work on 3.0), alongside with latest OpenCV distribution for python, numpy and Caffe.

Installing Anaconda Python might be the fastest way to obtain all python related requierements. OpenCV might be installed by issuing:

conda install binstar

binstar search opencv

binstar show menpo/opencv

conda install --channel https://conda.binstar.org/menpo opencv

We have used caffe (http://caffe.berkeleyvision.org/) as CNN:

Author: Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor

Journal: arXiv preprint arXiv:1408.5093

Title: Caffe: Convolutional Architecture for Fast Feature Embedding

Year: 2014