Feature Matching (Brute-Force) – OpenCV 3.4 with python 3 Tutorial 26

preview_player
Показать описание


➤ Full Videocourses:

➤ Follow me on:

➤ For business inquiries:
Рекомендации по теме
Комментарии
Автор

I have no words for you man.

You are best teacher.

I have learned alot from these two videos on feature detection and feature matiching.

awaisahmad
Автор

God`s blessing reflected on code, awesome

hoxyoh
Автор

Amazing stuff bro I highly appreciate it. You made my life so much easy! God bless you brother

Zainjerr
Автор

how do I match just the whole book cover and get the coordinates of the four corners?

ywang
Автор

hey im facing error while running your code..
matching_result = cv2.drawMatches(img1, kp1, img2, kp2, matches[:50], None, flags=2)
cv2.error: OpenCV(3.4.3) error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
can you please help me out, what is the issue?

harshavardhanan
Автор

Hi. I have a question for something about filtering matches. I did feature matching with ORB in 2 images from taken different cameras at the same time. I just want to eliminate wrong matches between these two. Any idea how can i do that?

aliisdeniz
Автор

Great project!! Is there a way by which we can figure out what is its accuracy

sanchaykasturey
Автор

Thank you again, i have practiced all that .It s amazing

nichtszusagen
Автор

Hi Sergio, thanks for the great video. I have a follow up question.
How can I use a set of detected key points to find the dissimilarity between two images?
Suppose one image had the same features but also extra content. Like in this case your face with the book. How do I draw a bounding box around it

Автор

Thank you so much! More power to your elbows!

javlontursunov
Автор

Is there a method better suited for comparing images of form documents, for example: determining if an image is more similar to a resume rather than a cover letter?

nateb
Автор

it is showing this error
Traceback (most recent call last):
File "Main.py", line 8, in <module>

cv2.imshow("img1", img1)

cv2.error: OpenCV(4.1.1) error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'imshow'

johnys
Автор

Thanks for sharing, could you make another video that applies this one for real time object tracking, I find your video is easy to understand.

buianhvu
Автор

Do you think there is a way to detect nasolabial fold adjusstment while producing certain emotions- without neural networks?

ValSpiridonov
Автор

How can I avoid false positives? Thanks in advance.

JoelPascualMahindo
Автор

Hi Sergio, thanks for the great video.
but i have tried to apply SIFT instead of orb but it didn't work, would you please help me by giving me the code of SIFT or SURF.
many thanks mentor

haiderissam
Автор

What is the meaning of "flags=2" in line 17? Thank you.
matching_result = cv2.drawMatches(img1, kp1, img2, kp2, matches[:50], None, flags=2)

nghethuatsong
Автор

Nice video - how can I use this to align it to the same angle as the original image?

robr
Автор

Hi, may I know how to implement SSD for brute force matching to match the keypoint descriptors by myself?

geetasowmya
Автор

Hi,
I have a doubt in feature extraction.
Is it important to convert the image into Grayscale for sift and surf feature extraction?

ayushjain