KCF | python implementation of high-speed tracking | Computer Vision library

by chuanqi305 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | KCF Summary

KCF is a Python library typically used in Artificial Intelligence, Computer Vision applications. KCF has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However KCF build file is not available. You can download it from GitHub.

This is a python implementation of KCF tracker. The main purpose of this project is to help you understand KCF pipeline, so the details are not exactly the same as the paper.

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Support

KCF has a low active ecosystem.

It has 15 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

KCF has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KCF is current.

Quality

KCF has no bugs reported.

Security

KCF has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

KCF is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

KCF has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed KCF and discovered the below as its top functions. This is intended to give you an instant insight into KCF implemented functionality, and help decide if they suit your requirements.

Update the roi
Get a feature from an image
Visualize hog feature
Generate a Gaussian peak
Compute the kernel correlation coefficient
Detects the kernel of the FFT
Trains the kernel function

Get all kandi verified functions for this library.

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

Trending Discussions on KCF

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)

How to make OpenCV tracking classes derive from a base class?

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?

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?

How to use the CSRT Tracker correctly to track objects in OpenCV

OpenCV AttributeError module 'cv2.cv2' has no attribute 'TrackerBoosting_create'

OpenCV AttributeError module 'cv2.cv2' has no attribute 'Tracker_create'

tracking an object from webcam using Tracker-API but error:cap is undefined

Collect2 ld error when compiling program with openCV

how do i fix it with colab

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!):

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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.

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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:

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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:

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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()

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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 :-

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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

OpenCV AttributeError module 'cv2.cv2' has no attribute 'Tracker_create'

Asked 2020-Apr-27 at 13:55

I have tried to run this code but get an Attribute Error. Any help would be greatly appreciated.

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ANSWER

Answered 2020-Jan-20 at 15:17

It depends on which packages of OpenCV and version you have installed.

I believe you need OpenCV 3.4+ to run those models. Some tracker models are available in 3.2, and 3.3. All trackers in your script are available in 3.4

OpenCV packages: opencv-python: This repository contains the main modules of the OpenCV library.

opencv-contrib-python: The opencv-contrib-python repository contains both the main modules along with the contrib modules

python -m pip install opencv-contrib-python, check to see if you have 3.4+, with pip show opencv .

See how to install opencv for more details

Source https://stackoverflow.com/questions/58922153

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?

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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

QUESTION

Collect2 ld error when compiling program with openCV

Asked 2019-Sep-05 at 21:05

When compiling a program with opencv2, I'm getting a weird compiler error with ld. I'm unable to find anything online to do with the error.

I'm using this command to compile the program

g++ -Wall Tracker.cpp -o Tracker

and I'm getting this output from the compiler

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ANSWER

Answered 2019-Sep-05 at 21:05

Looks like you forgot to link, maybe something like:

Source https://stackoverflow.com/questions/57812881

QUESTION

how do i fix it with colab

Asked 2019-Jul-27 at 14:08

from imutils.video import VideoStream
from imutils.video import FPS
import argparse
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--video", type=str,help="path to input video file",)
ap.add_argument("-t", "--tracker", required=False,type=str, default="kcf",    help="OpenCV object tracker type")
args = vars(ap.parse_args())

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ANSWER

Answered 2019-Jul-27 at 12:45

If you want this code to run on Google Collab with no error, you should add an additionnal argument option to your ArgumentParser:

Source https://stackoverflow.com/questions/57232066

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

Vulnerabilities

No vulnerabilities reported

Install KCF

You can download it from GitHub.
You can use KCF like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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