OpenCV stands for Open Source Computer Vision Library and is a popular programming package made especially for computer vision. It focuses on providing real-time image processing applications and aims to provide a platform and library of useful functions that can be used in real-world applications. This allows developers to develop image processing, object recognition, and several other applications by using the tools and algorithms provided the OpenCV library. An OpenCV Developer is an expert in programming and desktop vision with very strong expertise in writing and understanding algorithms.

Here's some projects that our expert OpenCV Developers made real:

  • Screen record python scripts that can save time by automating tasks.
  • Automated image scanning which can improve accuracy in applications such as healthcare or manufacturing.
  • Optimized video streaming with HVEC/OPENCV encoding, which allows for smoother video without any quality loss.
  • Object detection and tracking from streaming video sources, making automated tracking seamless and accurate in various industries.
  • Autonomous Number Plate Recognition (ANPR) systems for mobile phones, for security purposes or traffic management.
  • Conversion of Models specified to run with OpenCV into lightweight TFlite format which speeds up processing when running on mobile applications.
  • YOLO/PyTorch powered object recognition systems that apply recognition techniques over videos or images.
  • Writing algorithms to detect streetlights and poles, setting the stage for hosting detection scripts that could automate operation processes.
  • Barcode scanning systems powered by YOLO Algorithm, allowing large scale image processing operations to take place over videos or a series of images captured at varying distances.

In summary, OpenCV developers are highly capable professionals that can create real world applications with custom features in a shorter amount of time compared to other development packages due to its robust library of functions focused on image processing tasks for both desktop or mobile application purposes. We invite you to join the millions of clients around the world who hired OpenCV developers to craft beautiful applications on Freelancer.com!

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    I'm seeking an AI specialist to build a YOLOv8 model for early detection of breast cancer on mammography images. This project aims to automate the identification of cancerous regions, ultimately improving the accuracy of breast cancer diagnoses. Key Requirements: - Extensive experience in developing medical image analysis algorithms, particularly with a focus on mammography images. - Proven skills with Python and expertise in working with YOLO algorithms. - Knowledge of breast cancer and its typical representations in mammograms would be highly beneficial. To be successful in this project, optimal performance in precision, recall, and F1-score is expected as outcomes from the YOLOv8 model.

    $10 (Avg Bid)
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    Python & three.js expert needed 2 Hari left
    TERVERIFIKASI

    Hello Everyone, I need an expert developer for my on going project. We wanna make a visualizer where user can change vehicle body color. So I need expert person who has previous experience on this area. If you are new and you think you are good fit this this position then feel free apply on this job. I'll talk details in private chat. Thanks in advance

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    I'm looking for a well-experienced C++ programmer who can optimize edge and lines detection algorithms for a parking space detection project. Key Requirements: - Significant expertise in C++, with a main emphasis on advanced algorithms; - Experience with implementing edge and line detection algorithms; - Familiarity with Windows as the developed software should be compatible with this platform. Expected Deliverables: - An enhanced algorithm that can create an edge and lines detection of parking spaces output more effectively. Please ensure to showcase your past experiences on similar assignments in your proposal.

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    I'm on the lookout for a specialist who brings proficiency in both ASHLAR and MIST to the table. Your main objective will be: - Create a small demo App using VB.NET to illustrate implementation of both Ashlar and Microscopy Image Stitching Tool. You're free to employ placeholder images or your own sample images. It's essential that you're adept at using ASHLAR and MIST for seamless task execution. Your bid should evidence your understanding and experience in these software along with VB.NET. Ready to use explanation are available on various sites : Purpose is to understand and learn these two techniques, in VB.NET. It is quite possible that we may find an expert of ASHLAR, but they may not know VB.Net. ASHLAR and MIST are both in JAVA... I will accept if some ...

    $150 - $449
    Sorotan Bersegel
    $150 - $449
    4 penawaran

    I am in need of an OpenCV expert who can help me with parking spaces detection tasks. The primary goal is detection of parking spaces in the video. This is a great opportunity for someone who wants to apply their OpenCV skills in a meaningful and challenging project. Please only apply if you have the necessary experience and skill-set.

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    I need support in refining my existing algorithms. The aim is to enhance the accuracy of detecting parking lines within a Windows environment. Candidates demonstrate: - Deep understanding of C++ programming - Experience with parking spaces detection algorithms Your objective would include: - Fixing the issues related to the accurate detection of both parallel and angled parking lines. - A focus on increasing the overall accuracy of the algorithm Experience with computer vision and signal processing would be an asset.

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    I'm looking for a seasoned Python developer with specific experience in image especially video analysis to create a script that can process a full mp4 video and identify the positions of noise in the video. The idea is to scan the video, locate identify the different type of noises and their value and externalize this findings into a json file Key Requirements: - The script (OOP based) should be able to read a video in mp4, mkv, mov format. - The library used for reading the video is not fixed. You can choose from libraries like (e.g. OpenCV, PyAV, or MoviePy, but the solution should be compatible with both Windows and Linux (and mac) - The output should have details of the signal, the different type noises, the common ratios and finally the values ... - the frame number ... - the t...

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