Python OpenCV template help to implement match filtering methods - expert please

I'm looking for someone who can help to me filter templates and in general improve my code... Currently my application works like below:

1) generate descriptors and key-points for each template, keep in database

2) when starting app, marge descriptors (vstack) and keypoints (extend) by filename (starts from same file-name mean same template)

3) load to memory template images and vstack all descriptors

4) perform knnMatch and simple filter matches

5) if match in index image +1

I need you to help me implement those methods:

a) Perform matching in two directions i.e for each point in first image find the best match in second image and vice versa .

b) Perform ratio test(ratio test of euclidean distances) between matches to eliminate ambiguous matches

c) Perform RANSAC test: it's a model fitting algorithm which finds the best data which fits the model and removes outliers.

d) Perform homography: it is an image projection algorithm.

The current problem is that sometimes the application returns incorrect results, that is, the returned template is incorrect.

Skills: Python, C++ Programming, Machine Learning (ML), OpenCV

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About the Employer:
( 6 reviews ) Bangkok, Thailand

Project ID: #21336460

26 freelancers are bidding on average $172 for this job


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