shooting-target | Draw shooting targets with hits based on coordinate system | Graphics library
kandi X-RAY | shooting-target Summary
kandi X-RAY | shooting-target Summary
[codecov.io] The goal was it to display the hits from the [www.meyton.org/shooting-data-feed-sdf/] Meyton) system. The data source is called Shooting Data Feed (SDF) and could be a XML file or a MySQL database.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shooting-target
shooting-target Key Features
shooting-target Examples and Code Snippets
$ composer require patrickbussmann/shooting-target
{
"require": {
"patrickbussmann/shooting-target": "dev-master"
}
}
$target = new Target(0.5, 0.5, 2.5, 4, 10);
$target->addHit(new Hit(0, 0));
$target->addHit(new Hit(500, 500));
$target->addHit(new Hit(-500, 500));
$target->addHit(new Hit(500, -500));
$target->addHit(new Hit(-500, -500));
header('Con
Community Discussions
Trending Discussions on shooting-target
QUESTION
Let me start by saying that I'm a complete amateur in image recognition and I'm trying to complete my first assignment using OpenCV in Python. I'm currently really struggling and therefore I came here for some advice or any help in general that would put me on the right path.
What am I currently trying to do:My goal here is to recognize a shooting target image that user uploads and compare it to one of two shooting target templates (images provided lower). My app is afterward going to calculate this shooting target based on the template it matches and give the user a really accurate score of his shot/shots (based on millimeters from the center of the target). This is just a long goal. For now, I'm just trying to figure out how to distinguish the uploaded target image from the templates I have.
Examples of shooting targets:As I mentioned I have two shooting target templates: target 1 and target 2.
The user then uploads a target that must match one of the templates.
Whenever the uploaded shooting target doesn't match any of the templates, the app should tell the user and not continue with the calculation.
What have I done and tried so far:For starters, I figured it would be beneficial to remove everything from the background and crop the image by the shooting target, and so I did. (I thought if I removed all of the background interference I could easily just compare the two images, but I later found out this actually wouldn't be accurate at all).
After that, I tried to calculate the percentage of the black color to the other color inside the target (without the background), but again found out this wouldn't be accurate since the shooter could shoot through a lot of the black color and then the percentage would fluctuate. Also, I wouldn't be able to tell if it's one of the templates since another completely different shooting target could have the same amount of black color in the middle.
As of comparison of the two images, I tried a lot of ways (histogram, feature matching with brute force, template matching) and neither of those seemed to be accurate nor usable (I could have been doing it wrong tho, that's a possibility).
What I have figured after all of those failures is that possibly the best solution would be to compare the circles inside the shooting target or the numbers inside the black middle circles, but I couldn't figure out how to do so properly.
Do you guys have any idea on how to go about this? I would really appreciate any help or any push towards the solution of my problem. Code examples are highly appreciated and would make my day.
Best regards.
...ANSWER
Answered 2020-Jun-01 at 15:50The targets seem to differ only in score bands (rings) 4, 5 and 6. So I would try and concentrate on those areas.
I took your sample images and resized them to exactly 500x500 pixels, then I measured the radius from the centre to the outside edge of band 4 (which was 167 px) and to the edge of band 6 (which was 95 px). So the outer limit of the area of interest is 167/500, or 0.33xW and the inner limit is 95/500, or 0.19xW where W is the width of the enclosing rectangle.
So, you can draw that mask like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install shooting-target
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page