How to set limit on number of keypoints in SIFT algorithm using opencv 3.1 (in python)

Why am I not able to use all VEP programs for the in silico analysis of avpr1b SNP's?

Good day researchers I am busy analysing the predicted effects of certain SNP's in AVPR1b. When using the VEP prediction programs (SIFT, Polyphen, FATHMM, LRT, Provean, Mutation Assessor, and...

28 February 2021 5,197 1 View

What is/are the best ML classifier(s) for Sentinel2 images?

Hi I am trying to segment a sentinel2 image. At this stage, I want to run a binary classifier that assigns each pixel to either farm or non-farm pixel. For this purpose, I have 4 10m bands...

15 February 2021 3,596 9 View

Feature Tracking in Python?

I have been trying to track feature points in the video using opencv. However, use of Shi Tomasi Corner Detection along with optical flow algorithm like Lucas Kanade Optical Flow doesn't seem to...

09 February 2021 8,475 3 View

How to choose the Hidden Layers Number and RBM Size in a DBN network?

Hello, When using a Deep Belief network (DBN) for images classification, how could we choose the number of hidden layers (number of Restricted Boltzmann Machines) and nodes (RBM size) in a hidden...

09 February 2021 4,618 5 View

Is there any similarity index between two time series?

Hi We have two time series dataset. For example mean daily temperature from two stations. Each of them have 30 data for a month. T1={ t1 , t2 ,... , t30 } T2={ t1 , t2 ,... , t30 } Now we want to...

06 February 2021 6,434 7 View

Matrix based scientific data analysis: extrapolating to matrices of sets?

Data sets, when structured, can be put in vector form (v(1)...v(n)), adding time dependency it's v(i, t) for i=1...n and t=1...T. Then we have a matrix of terms v(i, j)... Matrices are important,...

30 January 2021 9,295 6 View

When is the right time to stop training a classification algorithm?

In this example giving 400 samples looks like there is an accuracy of 91.5% while training beyond that point, accuracy is getting decreased. Are 400 samples enough to keep for this example? If...

27 January 2021 5,657 3 View

How can I make unsupervised clustering of trees species using algorithms like HAC, Kmeans... in R?

I am working on the development of multi-species volume allometric equation from diameter (DBH). I would like to form groups of species with the largest possible volume-diameter correlations by...

19 January 2021 5,752 5 View

In which case meta-heuristics algorithms cannot minimize the network error?

Hello, I am working on hybrid neural network. I have combined ANN with two different evolutionnary algorithms to build a prediction model of 6 inputs and one output with one hidden layer of 7...

18 January 2021 7,144 3 View

Is It useful to use text Pre-processing techniques (Stop Words Removal, Stemming) in the sentiment analysis classification?

Hello, I read some papers they used Pre-processing steps with text that will classify based on Sentiment Analysis. My question is, can I use text Pre-processing techniques in the sentiment...

11 January 2021 5,932 7 View

Dhruv Vyas

You may use something like this.

sift = cv2.xfeatures2d.SIFT_create()

kps, descs = sift.detectAndCompute(img, None)

Source: http://www.pyimagesearch.com/2015/07/16/where-did-sift-and-surf-go-in-opencv-3/

Hope it helps.

Himadri Nath Saha

http://www.pyimagesearch.com/2015/07/16/where-did-sift-and-surf-go-in-opencv-3/

Francesco Ponzio

n_kp = 5

cv2.xfeatures2d.SIFT_create(n_kp)

Hamed Etezadi

I think your question technically is wrong, my answer to you is: you better find best matches for two picture, because it is exactly the meaning of the nature of Lowe low.

so you should use :knnMatch

please check the below link:

https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_matcher/py_matcher.html