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