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Count the number of rebars in section image by C++ or Python

$30-250 USD

In Progress
Posted over 8 years ago

$30-250 USD

Paid on delivery
I want a C++ or Python (3.x is better) command can read input image that contain a bundle of rebars which we can se it's sections then return the number of rebars in input image. The sample images attached below.
Project ID: 8649486

About the project

15 proposals
Remote project
Active 9 yrs ago

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15 freelancers are bidding on average $158 USD for this job
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I am very proficient in c, c++. I have 15 years c++ developing experience now, and I have worked for 5 years. My work is online game developing, and mainly focus on server side, the language is c++ under linux. I used c++ to make many great projects, for example, I made the tools which can convert java files to c++ scripts which has the same effect, of course garbage collection included. I also made our own mobile game using c++, I even can show you the demo of client. Trust me, please let expert help you.
$150 USD in 3 days
4.9 (157 reviews)
7.1
7.1
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Hello. I have experience in similar tasks of object detection in images. I'll provide robust, high-quality solution for your needs. I assume that code in C++ will be preferred? I can both C++ and Python 3. Please specify preferred language. Thanks.
$150 USD in 3 days
4.9 (40 reviews)
6.0
6.0
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Please contact me with a message and we can discuss the details, etc. Thinking of your application. I am suggesting this for a second stage, but would you be interested in a mobile application with the same functionality? That would allow you to count directly from video. --------- Hi, I might not be the cheapest but you can be sure that you will get the best results by working with me. At the moment, I am working towards a PhD in Machine Learning and I have extensive professional experience in Robotics and Medical Devices. I can deliver in both C++ or Python. I would prefer to do it in C++ just for performance reasons. I am ready to start as soon as you accept my proposal. Would it be possible to get more images? I would like to test properly. Let me know if you have any comments/questions. Thanks
$263 USD in 10 days
5.0 (12 reviews)
5.5
5.5
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Hi, please ping me if you are interested. Then we can do a short job interview and work out the specs. best regards, Joerg.
$222 USD in 10 days
5.0 (7 reviews)
4.7
4.7
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A proposal has not yet been provided
$155 USD in 3 days
5.0 (10 reviews)
4.5
4.5
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hi I will do in c++. regards Akhtar
$222 USD in 5 days
4.7 (18 reviews)
4.9
4.9
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Hi. I can do this in Python 3 (in C++ either if you wish). The program will also require OpenCV library dependency.
$55 USD in 5 days
5.0 (7 reviews)
4.1
4.1
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A proposal has not yet been provided
$147 USD in 3 days
5.0 (5 reviews)
3.7
3.7
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I have read and understood the requirements, I am expert software engineer Please discuss..................................
$200 USD in 7 days
3.4 (5 reviews)
4.3
4.3
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I am working on python from above 2 years. I have developed an image based search engine for a social ecommerce platform also.
$90 USD in 3 days
0.0 (0 reviews)
0.0
0.0
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$100 USD in 3 days
0.0 (0 reviews)
0.0
0.0
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I'm familiar with Python and already did some image recognition projects. Proposed approach in this case: 1) apply suitable filters to enhance contract of rebars 2) guess initial position of rebars by detection of gray spots 3) apply genetic algorithm to optimize number, positions and intensity of spots to best fit the image. 4) After stagnation of error between model and image return number of rebars.
$210 USD in 5 days
0.0 (0 reviews)
0.0
0.0
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Hello, I have good experience in python and certain experience in image processing with MATLAB and python. (I can send my assignments on request). If the lighting conditions of rebars do not vary greatly, this does not look like a complicated task. If granted the work, I will begin coding on Monday and will finish it Tuesday evening (My zone is GMT+2). Good luck to you, Emil
$100 USD in 3 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of VIETNAM
Hanoi, Vietnam
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Member since Aug 27, 2012

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