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.
Python
Issues
- 1
What's the prediction result mean?
#21 opened by dgtlmoon - 1
sift v2018.08.0 doesn't install Python PIL (required by screenshot volatility plugin)
#24 opened by johnmccash - 1
- 0
- 13
IOError: SIFT executable not found
#7 opened by edess - 3
IOError: SIFT executable not found
#16 opened by sravr26 - 0
One-Class Classification
#20 opened by KaustubhMundra - 0
dict2numpy
#19 opened by buzzo123 - 2
IOError: decoder jpeg not available
#18 opened by buzzo123 - 0
grid.py runtime error
#17 opened by PelinGEZER - 6
memory error
#14 opened by Jivnesh - 2
Obtain more than one result for classification
#12 opened by Mario92V - 3
Increasing accuracy
#15 opened by IshaanGupta5 - 10
No module named PIL in sift.py
#13 opened by IshaanGupta5 - 1
- 2
- 1
"rate" is None in grid.py
#9 opened by zyqu1990 - 5
- 3
num = int(header[0]) # the number of features
#8 opened by edess - 6
- 1
Usage for 32x32 Cıfar10 dataset 50k data
#5 opened by fatihsamet - 3
IOError: SIFT executable not found
#4 opened by fatihsamet - 1
- 0