Usage for 32x32 Cıfar10 dataset 50k data

shackenberg / Minimal-Bag-of-Visual-Words-Image-Classifier

Implementation of a content based image classifier using the bag of visual words approach in Python together with Lowe's SIFT and Libsvm.

236 stars 94 forks source link

Usage for 32x32 Cıfar10 dataset 50k data #5

Open fatihsamet opened 10 years ago

fatihsamet commented 10 years ago

Hi again,

I want to use this this project to test CIFAR10 dataset which includes 50k 32x32 image with 10 category. In my attempts, i always get out of memory exceptions. I saw that sift function produces vectors 128 size. Do you have any recommendation for me to handle that memory exception. Thank you

shackenberg commented 10 years ago

Hi,

so can you post the complete error message, then I will look into it.