Opencv Projects

Fixing Python AI code bugs

I need an AI developer with python programming knowledge to fix my code. I am working on computer vision project and open-cv is not working correctly due to timeout error I am facing each time. Is there someone with good experience in openCV ?

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Window Dimensions API OpenCV Python

An API is to be provided that receives an image file of a window section taken for a construction project. The image comes from the camera of a mobile device (smartphone/tablet) and meets the following requirements: The window is photographed straight from the front. The window is rectangular or square. The image is well-lit. A reference object (e.g., a green cube) with known dimensions can be placed in the image. The API detects the object (window or window hole) and generates the outer dimensions. The tolerance should be as low as possible (max 1.0 - 1.5 cm). The API returns a JSON with the following properties: width: Width of the window hole height: Height of the window hole imagepath: Image path to the picture with the frame and dimensions, so that it can be checked if the section was captured correctly Only the API needs to be programmed. The image illustrates Step 2 and Step 3. Ideally, the project will be implemented in Python.

Computer Vision / Artificial Intelligence / Machine Learning

We are looking for Senior Computer Vision Engineers for Contractual/Freelancing Roles. The job description and requirements are as following: Key Responsibilities: Algorithm Development: Design, develop, and optimize computer vision algorithms for image processing, object detection, recognition, and segmentation. Model Training: Develop and train machine learning models tailored for image analysis and visual data interpretation. AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. Required Technical Qualifications: Experience: Minimum of 2 years of professional experience in computer vision, with a proven track record of working on complex image processing and ML projects. Programming Skills: Proficient in programming languages such as Python, C++, and MATLAB. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Algorithm Expertise: Strong understanding of computer vision algorithms and techniques, including but not limited to convolutional neural networks (CNNs), object detection (e.g., YOLO, Faster R-CNN), image segmentation (e.g., U-Net), and feature extraction. AI/ML Knowledge: In-depth knowledge of machine learning principles and experience with supervised, unsupervised, and reinforcement learning. Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. Performance Tuning: Expertise in optimizing models for deployment in real-time systems and experience with GPU acceleration (e.g., CUDA, TensorRT). Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git. Analytical Skills: Strong analytical and problem-solving skills with the ability to think creatively and develop innovative solutions. Communication: Excellent written and verbal communication skills, with the ability to present complex technical information to non-technical stakeholders.

(URGENT) I need expert OpenCV developer

It is simple project. I'm looking for a skilled developer to create a simple image stereo matching program in C++. The primary objective is to support 3D reconstruction from stereo image pairs. Your main tasks will include: - Implementing stereo matching algorithms in C++ with a focus on 3D reconstruction - Ensuring the program is efficient and robust for real-time image processing - Delivering a user-friendly interface for ease of use Ideal candidates should have: - Proficiency in C++ programming, with a strong focus on image processing - A solid understanding of stereo matching concepts and 3D reconstruction - Experience in developing software for image processing applications, particularly in stereo matching Please bid if you're confident in your ability to deliver high-quality, efficient code for this project.

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Flutter Developer for Image-Based Distance Measurement ( SOS)

Hello everyone, We're on the lookout for an experienced Android/Flutter developer for a groundbreaking project base. We are working on an Android application that utilizes image recognition technology for accurate distance measurement within live camera. Project Overview: Objective: Develop a cross-platform Flutter app capable of measuring distances through mobile camera using advanced image recognition techniques. Key Requirements: Proficient in Flutter app development, experience with integrating image processing libraries (like OpenCV, TensorFlow Lite, etc.), and a solid understanding of image recognition and AI algorithms. What We're Looking For: Proven experience in Android/Flutter app development, particularly in integrating AI and image processing functionalities. Ability to implement efficient and accurate distance measuring algorithms using image recognition. Familiarity with machine learning libraries (such as TensorFlow Lite) is highly desirable. Strong problem-solving skills and the ability to work independently

Computer Vision Project (OpenCV)

We are seeking a skilled freelancer to implement a code in opencv to detect and count the vehicles in a video according to specific requirements and algorithms. The project involves analyzing the video footage and using opencv algorithms to identify and track vehicles. The freelancer should have a strong understanding of computer vision and image processing techniques and be able to work with opencv libraries. The deliverables include a fully functional code that can detect and count vehicles in the video and a report detailing the implementation process and results.

A web App to identify what the user did in a video

I need your help to create a project related with video detention using technologies and libraries like a Video-LLaMa, OpenCV and others, the project is in an definition step. If you are interested in the project and you feel comfortable doing this kind of projects I would be happy to tell you more about this.

Fix my PC-based live image processor (Python/OpenCV)

My Windows PC - based live image processor application runs fine but is unfinished. It needs tweaks as follows: SEE ATTACHED CURRENT APP SCREENSHOT: As a summary: This is a Windows app. It is a live image processor. It takes input from: 1. A local webcam (internal) 2. A USB webcam 3. A URL IP cam (remote streaming) 4. A Video input. Various processing steps can be created, tested then saved as a preset for re-use later. SImilar to the Mirrror platform Methods (presets). Key features are as follows: 1. The app captures a frame of the stream, makes a copy, processes the original versus the copy then generates a result image. 2. It will repeat this for as long as the Loop value is not reached. 3. In the next loop round, the result frame becomes the Original. Then repeats 1. There are several processes between Original Versus Copy. These are called Operators. 1. Addition - Copy added to Original, Subtraction - Copy subtracted from Original, Difference - Difference between RGB values of Original and Copy (+ and - signs ignored), Multiply - Original is multiplied by Copy (values higher than 256 are truncated to 256) 2. FILTERS There are several filters: 1. Gaussian, Median, Average, High Pass, Low Pass, Band Pass and Notch - Original, Copy and Result images must be able to have their own values 3. COLOUR CONTROL There are several colour controls and each of Original, Copy and Result must be able to have their own value 1. Brightness, Contrast, HSL, Intensity, Levels 4. LOOP The processes are looped for as long as the loop value has not been reached. Current loop max value is 20 times. 5. DIGITAL ZOOM The Result Image must be able to be zoomed up too 5,000 times. 6. Each new settings must be saved as a new present - so that each time the preset is selected, the app repeats exactly all the processing steps recorded in that preset. 7. When the Zoom button on a window is pressed, a live screen pops out which can be made full-screen or less. Currently, it just shows a frame. The Zoom value needs to be up to X 5,000. The Levels is not working properly, needs to be fixed to be smooth. The Operators (Subtraction and Difference) need to be fixed/added. The Presets are not saving all values that needs to be fixed. To speed the process up, only the Result window can show live streaming, the original and copy windows can just show the last frame. Also, when a video source is selected, the app runs until the end of the video, then stops. It should continue until the source is changed or the app is closed. I need to be able to save the Result video. (ut works now but the frames take time to to save and is complicated to do. The final thing that was not done is to create a EXE file or a file that can be sent to someone and the click it and the app is installed. So. Practically all is there but needs tweaking as described.

opportunity

Design and implement a drowning person detection rescue system

I want to Design and implement a drowning person detection and rescue system using pattern recognition in swimming pools Simulation Based using ROS, Steps to complete the project: 1. Develop an algorithm using OpenCV to detect a drowning person in the swimming pool. 2. Design a robot using ROS-Gazebo to rescue the drowning person, incorporating prismatic joints and a control algorithm for the bucket. 3. Create a ROS-Gazebo simulation of an arena with specified dimensions and the necessary actuators for the rescue robot. 4. Develop a distance calculation algorithm to determine the distance between the origin and the detected drowning person in the pool. 5. Implement the rescue algorithm, including the derivation of the bucket to the destination. 6. Implement the algorithm that control the position and velocity of the actuator with mathematics. 7. Provide the camera calibration algorithm mathematics and results. 8. Develop the control mathematics for the actuators in sliding forms. 9. Deliver a write-up of the abstract, methodology with results explanation, complete mathematical modeling (Kinematics, inverse kinematics, Odometer), flowsheet diagrams, and algorithms for each step involved in the project. Remember that the complete documentation of the project is very important, with each clear steps, 10. All the project should run on my laptop

opportunity

Mobile / Flutter Developer for Image-Based Distance Measurement

Hello everyone, Exciting news! We're on the lookout for an experienced Android/Flutter developer for a ground-breaking project project base. We are working on an Android application that utilizes image recognition technology for accurate distance measurement within images. Project Overview: Objective: Develop a cross-platform Flutter app capable of measuring distances through mobile camera using advanced image recognition techniques. Key Requirements: Proficient in Flutter app development, experience with integrating image processing libraries (like OpenCV, TensorFlow Lite, etc.), and a solid understanding of image recognition and AI algorithms. What We're Looking For: Proven experience in Android/Flutter app development, particularly in integrating AI and image processing functionalities. Ability to implement efficient and accurate distance measuring algorithms using image recognition. Familiarity with machine learning libraries (such as TensorFlow Lite) is highly desirable. Strong problem-solving skills and the ability to work independently.

2D Avatar Clothing Change Application

I am looking for a skilled developer to create a 2D avatar clothing change application. The goal of the project is to allow users to change the clothing of their avatar in images. The application will overlay different clothing items onto existing avatar images. Key Features: Avatar Dataset: Gather a diverse dataset of avatar images covering various poses, lighting conditions, and backgrounds. Clothing Images: Collect images of clothing items with a transparent background for seamless overlay onto avatars. Image Preprocessing: Resize avatar and clothing images to a consistent size. Optional: Background removal for clothing images. Segmentation Model (Optional): Train or use a segmentation model to identify the region of interest on avatars corresponding to the clothing area. Image Warping: Implement or use image warping techniques to overlay clothing images onto avatars based on segmentation or desired regions. Alpha Blending: Apply alpha blending to seamlessly integrate clothing onto avatars. Adjust transparency based on segmentation masks or specific criteria. User Interface (Optional): Design a user interface for a user-friendly experience, allowing users to upload avatars, clothing, and make selections. Testing and Validation: Ensure the system is robust by testing it with a set of images under various scenarios and lighting conditions. Documentation: Document the code, providing clear instructions on usage, dependencies, and examples for future reference. Optimization (Optional): Optimize the code for performance, considering parallelization or hardware acceleration if needed. Deployment (Optional): If applicable, deploy the project as a service or application. Consider the deployment environment and any additional requirements. Requirements: Proficiency in Python and relevant libraries (e.g., OpenCV, TensorFlow). Experience with image processing, segmentation, and blending techniques. Ability to create a user interface for a seamless user experience (if applicable). Strong documentation skills for future reference and collaboration. Optional: Experience with optimization techniques for performance improvement. Deliverables: Fully functional 2D avatar clothing change application. Source code with clear documentation. Test results demonstrating the robustness of the system. Budget: Please provide a realistic estimate of the budget and timeframe for completing the project. Additional Notes: Feel free to include any additional information or specific requirements you may have for the project.

Android app, OpenCV, Tesseract to scan inventory

Good day sir, I was needing a Android app built that can utilize OpenCV and Google's Tesseract to scan inventory items that come in for our small laboratory. I would like it to be able to identify individual items. Then be able to input how much of said item we received and if the item has a label be able to read the expiration date from said label. Lastly, I would like it to be able to take all this information (description of the item, amount inputted and expiration date) and upload it to a Google sheet.

urgent

Recording soccer game

Objective / Goal We will use a mini computer like the Orange PI 5B (similar to the Raspberry PI) to be able to film the entire soccer field, reaching an angle equal to or greater than 180 degrees. We will join the 3 cameras using Python or any command line or script that the operating system can offer. It will generate 2 final videos: 1-) With the 3 cameras, a video that shows the whole field. 2-) With OpenCV you can track the ball on the field, if you don't detect the ball, keep the current position or try to follow the largest group of people on the field. W x H smaller than video 1 (HD). The final videos will be uploaded to an online server (when you have internet, Wi-Fi connected to the internet). A simple webserver that shows the date and time the video was generated and we can open video 1 or video 2. I already have some commands ready to start the project and the boards for testing, I will be able to carry out the tests. I can send 1 Orange Pi 5b + 3 cameras if needed.

Video calling AI solution to track eye movement and brightness

Build a AI solution ( OpenCV ) to create a video calling application that tracks the below. 1. Body posture. 2. Head positioning and movements. 3. Eye tracking. 4. Voice recognition. 5. Check if the audio is matching with the Lip movements. 6. Screen brightness etc.

Title: Face and Body Recognition Project with GPS Tracking

Description: DOUGH ONES SOURCES PVT.LTD. is seeking an experienced and skilled developer to create a live working project for face and body recognition, along with GPS tracking functionality. The project's objective is to identify working employees within the company premises using face and body recognition technology, as well as incorporate a GPS tracker in tablets to track ongoing vehicles, calculate the distance covered, and predict their location. Responsibilities: - Develop a face and body recognition system that can accurately identify employees within the company premises in real-time, utilizing technologies such as facial recognition algorithms, deep learning, and computer vision. - Implement an efficient and reliable GPS tracking system in tablets to monitor ongoing vehicles, calculate the distance covered, and predict their current location, incorporating machine learning techniques for predictive modeling. - Integrate the face and body recognition system with the company's existing employee management system, leveraging data integration and API development. - Ensure the project is user-friendly and provides real-time updates on employee attendance and vehicle tracking, employing natural language processing (NLP) techniques for user interaction. - Test and debug the system to ensure optimal performance and accuracy, employing techniques such as cross-validation and model evaluation metrics. - Provide necessary documentation and technical support for the implemented solution, including documentation on model architecture and system requirements. Requirements: - Strong experience in developing face and body recognition systems, utilizing technologies such as facial recognition algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and computer vision libraries (e.g., OpenCV). - Proficiency in GPS tracking systems and their integration with software applications, including experience with geospatial libraries (e.g., GeoPy, Shapely). - Knowledge of relevant programming languages, such as Python, C++, or Java, along with experience in machine learning frameworks (e.g., scikit-learn) and data manipulation libraries (e.g., pandas). - Familiarity with databases and data management, including experience with SQL or NoSQL databases for data storage and retrieval. - Ability to design an intuitive user interface for the application, incorporating front-end technologies such as HTML, CSS, and JavaScript. - Strong problem-solving skills and attention to detail, with the ability to handle complex data pipelines and optimize algorithms. - Excellent communication and collaboration abilities to work closely with cross-functional teams and stakeholders. Skills and Qualifications: - Proven experience in developing face and body recognition projects, leveraging deep learning architectures (e.g., CNN, LSTM) and pre-trained models (e.g., VGG, ResNet). - Demonstrated expertise in GPS tracking systems and software integration, utilizing machine learning algorithms for predictive modeling and anomaly detection. - Proficient in programming languages and frameworks related to face and body recognition (e.g., Python, TensorFlow, OpenCV) and GPS tracking (e.g., Python, geospatial libraries). - Strong understanding of computer vision, image processing, data analytics, and machine learning techniques. - Experience with software testing and debugging processes, including model evaluation and performance optimization. - Ability to work independently and deliver high-quality results within the specified timeframe, adhering to best practices in software development and machine learning. Additional Information: - The project is expected to be completed within [Timeline]. - Contractors will be required to sign a confidentiality agreement to protect sensitive company information. - Regular progress updates and meetings will be required throughout the project duration. How to Apply: Interested candidates are requested to submit their detailed proposals, highlighting their relevant experience, expertise, and project approach. Please include any relevant portfolio or work samples that demonstrate your capabilities. Proposals should be sent to [Contact Email]. Kindly provide your estimated timeline and project cost in your proposal. Note: Only shortlisted candidates will be contacted for further discussion. We look forward to receiving your proposals! DOUGH ONES SOURCES PVT. LTD. TEAM.

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Custom Image Background Color Selector for New Website

Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: Absolutely, that's a critical requirement for any modern web feature. Here's your updated brief: Project Title: Custom Image Background Color Selector for New Website Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: 1. Image Upload: An interface that allows users to upload their images. 2. Colour Extraction: A system that analyses the uploaded image and identifies the main colours. 3. Colour Display and Selection: An interface that displays these dominant colours to the user for selection. 4. Background Change: Functionality that changes the background colour of the uploaded image based on the user's selection. 5. Image Download: Allow the user to download the updated image. The image should be available in different sizes suitable for social media platforms. Technical Requirements: Experience with WordPress and Zoho CRM integration. Python for backend color extraction (experience with OpenCV and KMeans clustering preferred). JavaScript for frontend color display, background changing, and image downloading. Integration of the Python backend with the JavaScript frontend. Mobile optimization to ensure the feature works seamlessly across various device types and screen sizes. Deliverables: Complete source code for the feature. Documentation explaining how to install, run, and use the feature. Thorough testing of the feature to ensure it functions seamlessly across various devices and screen sizes. Post-production bug fixing and technical support for a period to be negotiated. Timeline: The project should be completed within 2 weeks of commencement. It is critical that this feature is ready for the website's launch. Budget: The budget for this project is £300. Communication: Regular updates via email Application Process: Interested freelancers should provide examples of previous similar work, especially projects involving image processing, WordPress development, Zoho CRM integration, and mobile optimization.

opportunitypre-funded

Custom Image Background Color Selector for New Website

Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: Absolutely, that's a critical requirement for any modern web feature. Here's your updated brief: Project Title: Custom Image Background Color Selector for New Website Project Description: We are seeking a skilled web developer to create a new feature for our upcoming website. The website is built on WordPress and uses Zoho CRM. The feature should allow users to upload an image of a graded card, identify the dominant colors in the image, select one of these colors, and apply this color as the background. The updated image should then be downloadable in various sizes suitable for social media posting. This feature is intended to be a key component of our website at launch. Importantly, this feature must be mobile-optimized and function seamlessly across different device types. Key Features: 1. Image Upload: An interface that allows users to upload their images. 2. Colour Extraction: A system that analyses the uploaded image and identifies the main colours. 3. Colour Display and Selection: An interface that displays these dominant colours to the user for selection. 4. Background Change: Functionality that changes the background colour of the uploaded image based on the user's selection. 5. Image Download: Allow the user to download the updated image. The image should be available in different sizes suitable for social media platforms. Technical Requirements: Experience with WordPress and Zoho CRM integration. Python for backend color extraction (experience with OpenCV and KMeans clustering preferred). JavaScript for frontend color display, background changing, and image downloading. Integration of the Python backend with the JavaScript frontend. Mobile optimization to ensure the feature works seamlessly across various device types and screen sizes. Deliverables: Complete source code for the feature. Documentation explaining how to install, run, and use the feature. Thorough testing of the feature to ensure it functions seamlessly across various devices and screen sizes. Post-production bug fixing and technical support for a period to be negotiated. Timeline: The project should be completed within 2 weeks of commencement. It is critical that this feature is ready for the website's launch. Budget: The budget for this project is £300. Communication: Regular updates via email Application Process: Interested freelancers should provide examples of previous similar work, especially projects involving image processing, WordPress development, Zoho CRM integration, and mobile optimization.

Senior Python Developer at Yeager.ai

Senior Python Developer at Yeager.ai, a Generative AI Research and Production Lab Prior to applying please review our github https://github.com/yeagerai/yeagerai-agent Yeager.ai is a cutting-edge Generative AI Research and Development company focused on collaborating AI Agents. We are building towards the new world where AI Agents collaborate with each other and with humans to reach peak ingenuity. The opportunities are endless. Our philosophy is to democratize success through generative AI. Our core tenets include Reliability, Accessibility, and Human Driven technology. We believe in open source and the power of collaboration and community driving our projects forward. Please check out our GitHub (https://github.com/yeagerai) Our flagship product is GenWorlds, (public announcement coming soon) a Generative World-as-a-Service Platform for Collaborating AI Agents. The GenWorlds framework is open source ( We work directly with customers to build dedicated environments of specialized AI Agents which coordinate to execute tasks and achieve complex goals (a “GenWorld”). Imagine a dev shop GenWorld with different AI Agents specialized in UI/UX, code review, project management, doc generation, testing, security, etc., all working together to deliver the best service to the client and allowing the dev shop to scale its operations. We are building these types of environments (or GenWorlds) across all industries. Culture Our culture at Yeager.ai is centered around collaboration, innovation, and continuous learning. We strive to help everyone on the team understand how to use Yeager and other AI technologies, fostering an environment where knowledge sharing and mentorship are highly valued. As an early-stage company, we offer significant upside in terms of stock options and compensation, making this an exceptional opportunity for talented developers. The Role We are looking for an exceptional Senior Python Developer with a passion for artificial intelligence and cutting-edge technology to join our growing team. Your role will be to collaborate with our team to develop, test, and deploy both the core platform and specialized AI agents for various use cases. You will be instrumental in designing and implementing efficient, scalable, and maintainable Python code. Responsibilities - Collaborate with cross-functional teams to develop, test, and deploy the core platform and specialized AI agents - Design and implement efficient, scalable, and maintainable code in Python - Contribute to the development of new features, improvements, and bug fixes - Participate in code reviews, provide constructive feedback, and continuously improve code quality - Stay up-to-date with the latest industry trends, technologies, and best practices Requirements - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - 5+ years of experience in Python development, with a strong track record in building complex and scalable applications - Deep understanding of Python language, libraries, and frameworks, such as Django or Flask - Experience working with AI, machine learning, or natural language processing is a plus Key Technical Skills - Cloud platforms (AWS, Google Cloud Platform, Azure) - Containerization and orchestration technologies (Docker, Kubernetes) - Databases (PostgreSQL, MongoDB, Redis) - AI frameworks and libraries (TensorFlow, PyTorch, Keras) - Natural language processing techniques and tools (spaCy, NLTK, GPT) - Reinforcement learning algorithms and libraries (OpenAI Gym, RLlib) - Computer vision libraries and techniques (OpenCV, YOLO) - Version control systems (Git, Mercurial) - Distributed systems and microservices architecture - API development and integration (REST, GraphQL, gRPC) - CI/CD pipelines and tools (Jenkins, Travis CI) - Performance optimization, profiling, and debugging tools Desirable Skills - Front-end technologies (JavaScript, React, Angular) - Agile methodologies and practices (Scrum, Kanban) - Proficiency in prompt engineering, with professional/native English skills What you'll get in return - Competitive salary and significant stock options - Opportunity to work in the rapidly growing AI industry - Flexible remote work policy - Opportunity to attend top-tier events related to AI and the latest technologies - Personal and professional growth in a collaborative and innovative environment If you're a Python ninja ready to join an exciting early-stage startup and tackle the challenges of building the next generation of AI-powered solutions, apply for the Senior Python Developer position at Yeager.ai. Prior to applying please review our github https://github.com/yeagerai/yeagerai-agent