KCF | High-Speed Tracking with Kernelized Correlation Filters | Computer Vision library

 by   foolwood C++ Version: Current License: No License

kandi X-RAY | KCF Summary

kandi X-RAY | KCF Summary

KCF is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. KCF has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Different feature(Intel(R) Core(TM)i7-4790 CPU @ 3.60GHz):.
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            kandi-support Support

              KCF has a low active ecosystem.
              It has 305 star(s) with 128 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of KCF is current.

            kandi-Quality Quality

              KCF has 0 bugs and 0 code smells.

            kandi-Security Security

              KCF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              KCF code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              KCF does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              KCF releases are not available. You will need to build from source code and install.

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            KCF Key Features

            No Key Features are available at this moment for KCF.

            KCF Examples and Code Snippets

            No Code Snippets are available at this moment for KCF.

            Community Discussions

            QUESTION

            I have a list which copies itself or appends itself every time I run my program and I really don't understand (python with opencv)
            Asked 2021-Jun-01 at 18:35

            I'm actually coding a Multitracker with Opencv using a CSRT tracker. (I used a online code and modified it as I need, here is the source: https://learnopencv.com/multitracker-multiple-object-tracking-using-opencv-c-python/ ) Every time a bounding box is 'updated' its coordinates are added to a list.

            For every bbox (bounding box) I have to lists, one for the x and y coordinates of the top left corner of the bbox, and an other one for the x and y coordinates of the bottom right corner. (Those lists are respectively called p1 and p2.)

            I have done almost everything that I want, but the p2 list of the bbox 1 don't stop copying itself or something like in the p2 list of the third bbox, and it don't depend of how much bbox exists. Note that I don't want any comments about improving it or optimizing it I don't care about it. Note too that the program is made to run with up to 6 bbox, and it's normal I don't need more but the program can run with 1, 2, or least that 6 bbox if I want.

            If I'm lucky it's a stupid error, but I can't get it, so maybe that looks from other peoples on it may find it better than I can! ^^

            Here is my long, unoptimized and ugly program! (And thanks if you help me!):

            ...

            ANSWER

            Answered 2021-May-16 at 13:33

            Well after reading it almost 3 times I understood. Using lists which had siblings names wasn't a good thing to do same if I can't do it in an otherway, I was just printing an other list x3

            Source https://stackoverflow.com/questions/67554710

            QUESTION

            How to make OpenCV tracking classes derive from a base class?
            Asked 2021-Apr-19 at 10:06

            OpenCV tracking API has implementations in 3 different places.

            • video/tracking.hpp
            • tracking.hpp
            • tracking/tracking_legacy.hpp

            I would like to be able to use any implementation by providing the name of the algorithm as input.

            ...

            ANSWER

            Answered 2021-Apr-19 at 10:06

            The solution lies in the example script of OpenCV. (tracking/samples/samples_utility.hpp)

            We need to convert cv::legacy::Tracker to the preferred type cv::Tracker. Just like the different input problem for a function, we need to implement these member functions separately.

            Source https://stackoverflow.com/questions/67159945

            QUESTION

            How to detect an object real time and track it automatically, instead of user having to draw a bounding box around the object to be tracked?
            Asked 2021-Feb-09 at 02:08

            I have the following code where the user can press p to pause the video, draw a bounding box around the object to be tracked, and then press Enter (carriage return) to track that object in the video feed:

            ...

            ANSWER

            Answered 2021-Feb-08 at 05:59

            I want to answer this question with the help of this article which I also used before and met the similar problem with yours. Here are the suggestions:

            • Run YOLOv3 with darknet framework which will increase the performance.
            • In your code snippet, it looks it doesn't let you to decide network input width and height so I don't know what you are using for them. Decreasing network width and height will increase the speed but oppositely decrease the accuracy.
            • YOLOv3 trained for 80 objects but you only need some of them. I also only needed the cars in my project before. Unfortunately, you can't manipulate the weight file which is already trained and also you can not train your objects such well.
            • The other way I also tried before is that I transfered YOLOv3 to another thread and I also didnt apply yolo to all frames. I only applied some of them, for example: 1 frame of each 10 frame. This was also helpful for me.
            • Or you can choose a better cpu pc :)

            Source https://stackoverflow.com/questions/66096223

            QUESTION

            Real time object tracking - how to let the video play in the beginning, let the user pause it, draw the bounding box, and then begin the tracking?
            Asked 2021-Jan-27 at 05:48

            Following is a code I found here for real time object tracking:

            ...

            ANSWER

            Answered 2021-Jan-27 at 05:48

            your if statement has the parenthesis in the wrong place

            Source https://stackoverflow.com/questions/65913339

            QUESTION

            How to use the CSRT Tracker correctly to track objects in OpenCV
            Asked 2021-Jan-04 at 18:43

            I've tried to use the CSRT tracker from OpenCv V4.5.1 to track faces inside video sequences, at the end of some videos I get this error which I can't understand why does it happen!

            • I'm using AVDIAR dataset
            • can you please advise me how to use the tracker correctly with Viola-Jones face detector?

            Note: wen I used KCF Tracker things worked perfectly! tracker = cv2.TrackerKCF_create()

            ...

            ANSWER

            Answered 2021-Jan-04 at 18:43

            The solution was to declare a tracker for each object, and initiate that tracker once as following:

            Tracker Function

            Source https://stackoverflow.com/questions/65545311

            QUESTION

            OpenCV AttributeError module 'cv2.cv2' has no attribute 'TrackerBoosting_create'
            Asked 2020-Oct-12 at 08:33

            I am tried to create trackers but not a single tracker is creating. Any help would be greatly appreciated.

            Current version of opencv that installed :- opencv version = 4.4.0

            opencv-contrib-python = 4.4.0

            Code that i am using to create tracker :-

            ...

            ANSWER

            Answered 2020-Oct-12 at 08:33

            My code run successfully. I run above code in jupyter notebook and when i run this notebook using anaconda prompt it shows above error, but when i run notebook with cmd then it run successfully.

            Source https://stackoverflow.com/questions/64304288

            QUESTION

            tracking an object from webcam using Tracker-API but error:cap is undefined
            Asked 2020-Apr-26 at 07:46

            I'm building a project about tracking object from the webcam using Tracker-API (3.3.1 OpenCV Library), but there still error in opening camera code. If I run the opening camera code only there is no error. This is my source code

            In my source code, they are using video file, but in mine, I want to track an object in real-time from the webcam. Is there something wrong with my code?

            ...

            ANSWER

            Answered 2020-Apr-25 at 07:24

            You construct the cap object only in case the tracker type is median flow:

            Source https://stackoverflow.com/questions/61421968

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install KCF

            You can download it from GitHub.

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