- Download dataset here
* Follow the well-comented code kmeans.scala
'''This script goes along the blog post | |
"Building powerful image classification models using very little data" | |
from blog.keras.io. | |
It uses data that can be downloaded at: | |
https://www.kaggle.com/c/dogs-vs-cats/data | |
In our setup, we: | |
- created a data/ folder | |
- created train/ and validation/ subfolders inside data/ | |
- created cats/ and dogs/ subfolders inside train/ and validation/ | |
- put the cat pictures index 0-999 in data/train/cats |
* Follow the well-comented code kmeans.scala
#include <opencv2/opencv.hpp> | |
#include <opencv2/nonfree/nonfree.hpp> | |
#include <iostream> | |
#include <vector> | |
#include <cmath> | |
using namespace std; | |
using namespace cv; | |
const double THRESHOLD = 400; |