Opencv flann Jobs
...in a structured format. • Pass the reconstructed state into a GTO analysis module or solver-based recommendation engine. • Display recommendations, alternative lines, and relevant metrics in a simple user interface. • Include testing, performance optimization, and documentation for long-term maintainability. Recommended Technologies • Python for rapid prototyping and backend development • OpenCV for image and video processing • PyTorch for model training and inference • YOLO or a similar object detection model for card and chip recognition • NumPy / Pandas for data processing • PySide6 or Tkinter for the desktop interface • Optional solver integration if precomputed strategy outputs are available Development Plan 1. D...
...mithilfe von KI automatisch nach der „Richtigen Darmschicht“ durchsuchen lassen. Das Ziel ist, verlässliche Erkennungen samt Zeitcode zu erhalten, damit ich die relevanten Sequenzen schneller auswerten kann. Was ansteht – Du trainierst oder feintunest ein Modell, das dieses konkrete Muster im Bild erkennt. – Die Lösung soll lokal auf handelsüblicher GPU laufen (Python + PyTorch/TensorFlow / OpenCV oder ähnlich). – Am Ende brauche ich ein Skript, das ein Video einliest, mir erkannte Frames ausgibt (bounding box oder Masken) und die Treffer in einer CSV protokolliert. – Ein kurzer technischer Bericht (Setup, Hyperparameter, Genauigkeitswerte) reicht als Dokumentation. Rahmen • Material liegt in 4 K vor; Beispi...
...Operationen wie Größenänderung, Formatkonvertierung, grundlegende Verbesserung oder Erweiterung anwenden, • Metadaten extrahieren oder einbetten, sofern verfügbar, und • die verarbeitete Ausgabe in eine gespiegelte Ordnerstruktur schreiben, während jeder Schritt protokolliert und eine übersichtliche CSV/JSON-Zusammenfassung erstellt wird. Bitte verwenden Sie gängige, aktiv gepflegte Bibliotheken – OpenCV, Pillow, NumPy und Pandas eignen sich perfekt –, damit die Umgebung mit einer kurzen leicht reproduzierbar bleibt. Ergebnisse 1. Ein modulares Python-Skript (oder kleines Paket) mit Inline-Docstrings und Kommentaren. 2. Eine kurze README-Datei, die die Einrichtung, den Befehlszeilen-Einstiegspunkt und die wichti...
...Bewegungserkennung in Echtzeit integriert. Hauptfunktionen: • Analyse von Gesichts- und Bewegungsmerkmalen (z. B. Mimik, Kopf- und Körperbewegungen) • Echtzeit-Auswertung über Kamera • Darstellung von Ergebnissen innerhalb einer benutzerfreundlichen Oberfläche • API-Integration zur Kommunikation mit einem KI-Modell Anforderungen: • Erfahrung mit Frameworks wie TensorFlow, PyTorch, MediaPipe oder OpenCV • Erfahrung in mobiler App-Entwicklung (React Native, Flutter oder native) • Kenntnisse in Echtzeit-Datenverarbeitung und API-Entwicklung • Saubere, skalierbare Architektur Zusätzliche Hinweise: • NDA muss vor Projektstart unterzeichnet werden • Klare Kommunikation (Deutsch oder Englisch) • Abw...
...sich auf den Beauty-Tech-Markt. Funktionale Anforderungen (erste Version / MVP): * Aufbau eines Smart Mirrors mit: * Zwei-Wege-Spiegelglas (halbtransparent) * Monitor/Display hinter dem Spiegel * Kamera (z. B. HD-Webcam) * LED-Beleuchtung (zur Ausleuchtung des Gesichts) * Einbindung eines Mini-PCs (z. B. Raspberry Pi) * Integration von Gesichtserkennung: * z. B. über **MediaPipe**, **OpenCV**, **FaceMesh** * Identifikation von Gesichtsform, Zonen (Blush, Contour etc.) * Display zeigt Anleitung bzw. Markierungen live im Spiegelbild * Optional: Sprachsteuerung über z. B. Google Assistant SDK oder Whisper + ChatGPT Vertraulichkeit & Schutz der Idee Mit deiner Bewerbung auf dieses Projekt erklärst du dich mit folgenden Punkten einverstanden: 1....
...während andere Bildteile verworfen werden. Integration der Lösung in eine bestehende Web- oder Mobile-Anwendung (je nach Ihrer Expertise kann die genaue Plattform spezifiziert werden). Berücksichtigung von Datenschutz- und Sicherheitsbestimmungen bei der Entwicklung. Qualifikationen: Umfangreiche Erfahrung in der Bildverarbeitung und Computer Vision, insbesondere mit Technologien wie OpenCV, Tesseract OCR oder ähnlichen Tools. Erfahrung mit maschinellem Lernen und der Implementierung von Modellen zur Bilderkennung ist ein Plus. Fähigkeit, sauberen, wartbaren und effizienten Code zu schreiben. Erfahrung mit der Integration von Bildverarbeitungslösungen in Web- oder Mobile-Anwendungen. Gute Kommunikationsfähigkeiten u...
Es gilt eine Methode zur Kontrastverbesserung in Fotos zu implementieren. Eine deutschsprachige Beschreibung inkl. Signalplan (s. Anhang) der Methode liegt vor. Stichwörter: Fourrier-transformation, Tiefpassfilter, Hochpassfilter.
Hallo. Ich suche jemanden, der mir bei meinem Programm weiter hilft, da ich nicht sonderlich gut programmieren kann und ich mit Fehlermeldungen nur wenig anzufangen weiß. Es geht dabei um 3D Bildverarbeitung mit OpenCV. Vielen Dank! Hi. I´m looking for somebody who can help me with my code. I´m not very good at programming. It´s about 3D image processing using OpenCV. Thanks!
Für unser sehr spannendes Social Commerce Startup Projekt suchen wir einen Computer-Graphik Spezialist, der sich in OpenCV Library (eventuell OpenGL) auskennt. Gute Kenntnisse in Objective-C bzw. Swift sind von Vorteil. Die Aufgabe ist die Programmierung einer Feature in Objective-C/C++. Wir werden uns freuen, mit Euch über alle Details zu unterhalten.
...vereinbarende Schnittstelle auf Anforderung folgendes tun: setCam(camID) - setzen der aktiven Kamera (front/back) startCam() - aktivieren der ausgewählten Kamera stopCam() - stoppen der Aktivität removeService() - beenden des Programmes getStreamPic() - aktuelles JPG-Bild aus dem Stream liefern hasChanged() - liefert 1, wenn Bewegung registriert wurde und 0, wenn keine Bewegung registriert wurde. OpenCV darf verwendet werden. getChangedPic() - liefert das Bild, was dazu geführt hat, das hasChanged() auf 1 gesetzt wurde. OPTIONAL: putMask(img) - setzt eine Maske, die für die Bewegungserkennung relevanten Bereich markiert. OPTIONAL- statt CamID könnte auch eine MJPEG-Internet-Kamera per URL angesteuert werden. Das Kamerabild darf nicht angezeigt...
...and export at multiple resolutions. On top of the stills I’d like a lightweight generator for short promo clips: the tool should string a few processed images into a 6–10 sec video, trim any silent gaps automatically, add royalty-free background music, simple captions, and tasteful transitions so I can post straight to social media. I’m open to the underlying tech. If you lean on Python with OpenCV, TensorFlow / PyTorch for segmentation, or use ready APIs like , that’s fine as long as the licence allows commercial use. A small React or Flutter front end that lets me test the workflow locally will be a bonus. Acceptance criteria 1. One uploaded photo returns a transparent-background PNG plus a white-background JPEG in under 10 seconds on mid-range ha...
...design and execute the full experimental evaluation pipeline. This project focuses on rigorous experimentation and evaluation, not developing new ML models. Required Skills Strong candidates should have experience in: Machine Learning / Deep Learning Computer Vision for remote sensing Geospatial data processing Experimental design for research papers Technical stack: Python PyTorch or TensorFlow OpenCV NumPy / Pandas Scikit-learn Matplotlib / Seaborn AWS cloud workflows GPU computing Experience with the following is highly desirable: Satellite imagery processing GeoJSON / GDAL STAC catalogs LLM integration Retrieval-Augmented Generation Nice-to-Have Experience Experience with: Academic ML research Remote sensing journals Geospatial AI Multimodal AI pipelines Experiment reprod...
...recall, F1). The image-recognition piece will classify and tag uploaded photos, surfacing confidence values for each label. A lightweight front-end demo or notebook that shows the model running on sample images will help us validate results quickly. Preferred toolchain includes Python, TensorFlow or PyTorch for model development, plus standard libraries for data handling (Pandas, scikit-learn, OpenCV as needed). If you have a different stack that still meets these requirements, mention it and explain the trade-offs. Deliverables • Trained predictive-analytics model with reproducible training script • Trained image-recognition model with inference endpoint or callable function • Clean, commented codebase stored in a private Git repo • Setup guide and...
...design and execute the full experimental evaluation pipeline. This project focuses on rigorous experimentation and evaluation, not developing new ML models. Required Skills Strong candidates should have experience in: Machine Learning / Deep Learning Computer Vision for remote sensing Geospatial data processing Experimental design for research papers Technical stack: Python PyTorch or TensorFlow OpenCV NumPy / Pandas Scikit-learn Matplotlib / Seaborn AWS cloud workflows GPU computing Experience with the following is highly desirable: Satellite imagery processing GeoJSON / GDAL STAC catalogs LLM integration Retrieval-Augmented Generation Nice-to-Have Experience Experience with: Academic ML research Remote sensing journals Geospatial AI Multimodal AI pipelines Experiment reprod...
...smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables • Sou...
...smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables &b...
Project Title: Iraqi License Plate Detection and Recognition using Python (YOLO + OCR) Description: I am looking for a developer to build a complete Python project for automatic Iraqi vehicle license ...to recognize the license plate number and characters. 4. The system should support Arabic letters, English letters, and Arabic-Indic numbers used in Iraqi license plates. 5. Use data augmentation techniques (rotation, blur, illumination changes) to improve model performance. 6. Provide training and testing scripts. 7. Provide the full Python source code. Tools preferred: - Python - YOLOv8 - OpenCV - PyTorch or TensorFlow - EasyOCR or Tesseract Output required: - Full working Python code - Trained model - Instructions to run the project I already have a dataset of Iraqi licen...
...finetuning iterations is key. Key Requirements: • Pure Python RPA, with the core orchestrator, no third part tool. • Web navigation/ scraping with Selenium/Playwright: document download, classification, OCR/text extraction. • Build/train neural networks (e.g., CNNs for image doc classification). • NLP expertise with spaCy for entity extraction. • Computer vision using TensorFlow/OpenCV (offline Vision Libraries preferred). Preferred Skills: • MLOps (e.g., MLflow, Docker for deployment). • Strong problem-solving for complex, error-prone workflows. • 2+ years portfolio with RPA/CV projects (GitHub links required). Project Details: • Milestones: Week 4 (scraper prototype), Week 8 (CV model), Week 12 (fu...
...performance and scalability Integrate third-party APIs and AI services where required Collaborate closely with product and engineering teams to turn ideas into working solutions Required Skills & Experience Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.) Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.) Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models) Knowledge of speech systems (TTS, STT, STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend development skills (Python, Node.js, FastAPI, Django, etc.) Experience designing scalable, modular backend architectures Familiarity with vector database...
...away elements that might provoke irrational responses while keeping the surrounding media unchanged. Here’s what I need you to deliver: • A working browser-based solution (extension, local proxy, or another approach you propose) that processes both static images and streaming video in real time. • Reliable detection of people and animals using modern computer-vision tools (e.g., TensorFlow, OpenCV, YOLO, or alternatives) and seamless substitution with a non-identifying silhouette or blurred overlay. • A simple toggle UI so users can turn the filter on or off without reloading the page. • Clear build/run instructions and concise technical documentation so I can install, test, and demo the concept easily on the latest versions of Chrome and Firefo...
...smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialised hardware. Pre-trained networks are welcome, but please include any fine-tuning scripts so I can reproduce the results. If additional datasets are needed, point me to openly licensed sources or provide clear collection guidelines. Deliverables &b...
...functional requirements that walk through the end-to-end pipeline: ingestion, preprocessing, labeling guidelines, and model-ready datasets. • Non-functional requirements covering performance targets (latency, accuracy, throughput), scalability, and security. • A modeling strategy outline suggesting suitable computer-vision approaches, necessary libraries or frameworks (e.g., PyTorch, TensorFlow, OpenCV), and how evaluation metrics like precision, recall, and F1 will be tracked. • Integration points with existing databases or APIs, plus a basic architecture diagram that ties components together. • A phased timeline with milestones, risk considerations, and a resource estimate so stakeholders can plan staffing and budget down the road. Deliver the final...
...accuracy is sufficient for now; we can iterate later. Both real-time and batch inference modes should be supported. Phase 3 – Wrap the model in a lightweight web interface where a user can upload media and immediately see the percentage split. The interface also needs: • File upload history • Downloadable analysis reports • Basic user authentication Preferred stack & tools Python, OpenCV, YOLOv5/YOLOv8 (or similar), Flask/FastAPI for the back end, plus any front-end framework you deem lean and quick to deploy. To help me shortlist quickly, please send: • Links or screenshots of past AI/computer-vision projects (especially anything involving material classification or industrial inspection) • A brief outline of your proposed a...
...• AI models for advanced tasks such as background removal, image upscaling, and photo enhancement • Traditional image processing libraries for simpler tasks such as compression, resizing, cropping, and format conversion Recommended models/libraries include: • U²-Net / MODNet for background removal • Real-ESRGAN for image upscaling • GFPGAN for face restoration • ImageMagick / Sharp / OpenCV for standard image processing Key Features Required: • Image upload and processing pipeline • Before/after comparison slider for processed images • Instant preview before download • Image download system with watermark option for free users • User account system with usage limits • Free and premium subscr...
...program should show the recent results visually as icons (like a timeline of previous rounds). Example: 8. Continuous Operation The tool must run continuously and monitor the game automatically. It should: - detect each new round - log results in real time - update statistics No user interaction should be required. 9. Technology Suggestions The developer may use technologies such as: Python OpenCV Image Recognition / Template Matching Screen Capture 10. Deliverables At the end of the project I expect: • a fully working desktop application • Windows executable file (.exe) • simple instructions on how to run the tool The program should work with both LDPlayer and BlueStacks emulators. Important Notes: This project does NOT require game source code or integr...
...Image) - Recent results panel showing last rounds with icons - Round counter and session tracking - Frequency table with percentages for each icon - Hot item detection with visual indicators - Multiple statistical views 3. Data Export - Auto-save to Excel (.xlsx) format - CSV export option - Timestamped results with round numbers 4. Technical Implementation - Python with OpenCV for image recognition - GUI built with tkinter matching your interface design - Automated screen capture from emulator - 95%+ detection accuracy 5. Installation Package - Executable file (no Python installation needed) - Setup guide - Icon template configuration Timeline: 8 days (March 10-18, 2026) Includes testing and any adjustments needed for your specifi...
...output frame rate and any other relevant image settings—must be editable from a clean, graphical interface that carries my company logo. No multilingual support is required, so the UI can stay in English. To speed things up I can supply an existing Lua script that demonstrates the core image calculations; feel free to translate or rewrite it in the language you are most comfortable with (Python + OpenCV, C#/.NET, C++ with Qt, etc.) as long as the final build runs natively on Windows and delivers smooth GUI performance. Deliverables • Windows executable with installer (or portable folder) • Source code with clear build instructions • Brief user guide showing how to load a batch, adjust settings, run the process, and export the video The project will...
OpenCV Hill Climb Project – Description Project Title: Autonomous Hill Climbing Robot using OpenCV Project Description: Developed an AI-based computer vision system using OpenCV and Python that enables a robot/vehicle to automatically detect and climb slopes or hills. The system processes real-time camera input to analyze terrain conditions such as slope direction, obstacles, and surface edges. Implemented image processing techniques like edge detection, contour detection, and gradient analysis to determine the steepest safe path for climbing. Applied the Hill Climbing optimization algorithm to continuously choose the best next movement direction based on terrain analysis. Integrated real-time decision making so the robot adjusts movement dynamically while...
**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning /...novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of the methodology **Additional Notes:** If you have suggestions for improving the model or methodology, feel free to include them in your...
I want to build a small, self-contained charging station that wakes up only when it “sees” a bottle and a can. The core will be an Arduino (any recent 32-bit board is fine) tied to a solar panel and battery pack. A lightweight AI vision module or camera running something like TensorFlow Lite or OpenCV should continuously—or on a duty-cycled basis—look for bottles. The moment a bottle is detected, the system must move straight into the charging routine without waiting for external confirmation; no alerts, no logging, just automatic activation. What I need from you • Complete Arduino firmware that integrates the vision trigger with the charge-controller logic. • A schematic / wiring diagram showing how the camera, solar panel, charge controller, ...
...frame-level annotation may still be required for optimal accuracy. Scope • Design and train a deep neural network—CNN, transformer, or hybrid model—that detects all three defect categories directly from video streams. • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. • Provide clear metrics: precision, recall, F1, and confusion matrices on a held-out validation set. • Package the final solution with a lightweight REST or gRPC endpoint so the in-house engineering team can call it from our SCADA system. Del...
...building a ROS 2 pipeline that must reliably spot nuts and bolts in a live camera feed and publish their positions to the rest of my stack in real time. Your job is to create the complete vision-detection module—from model training or fine-tuning through to a clean ROS 2 node that subscribes to an image topic and spits out the detected objects with bounding boxes (or masks) and a confidence score. OpenCV, TensorFlow/PyTorch and any of the common ROS 2 image-transport plugins are all fine as long as the final node runs on Humble and stays GPU-agnostic (CUDA acceleration is a bonus, not a requirement). I already have a test rig with a standard USB camera; if you need specific calibration images I can capture them for you. Please deliver: • Source code for the detection...
...instructions for installing dependencies and running on Jetson Orin Nano. Source code in a Git repo + a short README. Provide a short demo video or screen recording of the workflow. Technical Requirements - Target platform: NVIDIA Jetson Orin Nano (JetPack Linux) - work remotely through ssh - Camera: 640×512, MIPI CSI-2 4 lanes, 22-pin ribbon Preferred languages: Python (PyQt / Tkinter / OpenCV). Must run offline (no cloud requirement). What I Will Provide: - Jetson Orin Nano hardware access (remote via ssh). - Camera details / driver info if needed (device node, gstreamer pipeline, etc.). - List of target object classes....
...charts of vitals. • Alert panel for out-of-range values. • Patient info card: Name, ID, Date. 4. Upload Interface • Web upload form (drag & drop or file select). • Trigger OCR → dashboard update. 5. Demo-Ready Hosting • Hosted on AWS EC2/S3 (or equivalent). • Fully clickable end-to-end flow: upload → extract → dashboard → alerts. ⸻ Tech Stack (Suggested) • OCR: AWS Textract / Tesseract / OpenCV • Backend: Python + FastAPI • Database: Postgres or SQLite • Frontend: React.js + / Recharts • Hosting: AWS ⸻ Requirements • Proven experience with OCR / Document AI projects. • Experience in Python backend + React frontend. • Must deliver a fully working demo in 7 days. &bul...
...boxes or similar visual confirmation so users clearly see what the model found. Beyond that essential functionality, I’m open to expanding into deeper facial insights—age, emotion, gender, or related analytics—if you have an off-the-shelf model or a custom pipeline that can slot in cleanly. My priority, however, is to ship a polished, latency-friendly MVP that runs either server-side (Python + OpenCV, TensorFlow, or similar) or directly in the browser via or MediaPipe. I’m comfortable hosting on typical cloud stacks, so just note any special environment requirements. Deliverables: • A responsive web page (HTML/CSS/JS or framework of your choice) with an intuitive image-upload interface. • Integrated face-detection model returning on-sc...
...boxes or similar visual confirmation so users clearly see what the model found. Beyond that essential functionality, I’m open to expanding into deeper facial insights—age, emotion, gender, or related analytics—if you have an off-the-shelf model or a custom pipeline that can slot in cleanly. My priority, however, is to ship a polished, latency-friendly MVP that runs either server-side (Python + OpenCV, TensorFlow, or similar) or directly in the browser via or MediaPipe. I’m comfortable hosting on typical cloud stacks, so just note any special environment requirements. Deliverables: • A responsive web page (HTML/CSS/JS or framework of your choice) with an intuitive image-upload interface. • Integrated face-detection model returning on-sc...
...Technical Requirements Core: Expert-level Node.js (TypeScript) or Python. Automation: Mastery of Playwright or Puppeteer. System Resilience: Deep understanding of request orchestration, session persistence, and residential proxy management to ensure high uptime against enterprise-grade site architectures. Cloud: AWS (Fargate, Lambda, S3). Vision: Familiarity with image processing/fingerprinting (OpenCV/pHash) is a significant advantage. 4. The Challenge: National Scale You will be building a system designed to support a $10MM+ ARR run-rate within 12 months. This requires a "Zero-Error" approach to data integrity, specifically ensuring that material quantities and freight weights remain accurate across 40,000+ US zip codes. 5. Why Join Us? Lead the technical bui...
...revenue report • Staff performance report • Customer visit history • Suspicious activity report • Export to PDF and Excel ⸻ 7. Hardware Integration System must support integration with CCTV cameras such as: • Hikvision • Dahua Technology • TP-Link • CP Plus Or recommend compatible AI camera hardware. ⸻ Preferred Technology Stack • Backend: Python or Node.js • AI and Computer Vision: OpenCV, Face Recognition, TensorFlow • Database: Firebase or PostgreSQL • Frontend: React or Angular • Cloud: Google Cloud Platform or Amazon Web Services ⸻ Deliverables • Fully working AI system (production-ready) • Web dashboard (admin panel) • Camera integration setup • Installation guide ...
...that watches a driver’s face through a standard camera feed, tracks eye-closure patterns and yawning frequency, then translates those cues into a clear fatigue score that updates continuously. Over a journey the model should also plot a time-based curve so I can see how alertness rises or falls. Please build and train the full pipeline in Python, preferably with PyTorch or TensorFlow paired with OpenCV for video handling. The system must be completely vision-based; no wearables or contact sensors. I will supply sample clips for initial testing, but the code should accept any 30 fps video stream so I can later attach it to an in-car webcam. The final hand-off should include: • Inference script that ingests a live or recorded feed, detects eyes and mouth, classifies ...
...that watches a driver’s face through a standard camera feed, tracks eye-closure patterns and yawning frequency, then translates those cues into a clear fatigue score that updates continuously. Over a journey the model should also plot a time-based curve so I can see how alertness rises or falls. Please build and train the full pipeline in Python, preferably with PyTorch or TensorFlow paired with OpenCV for video handling. The system must be completely vision-based; no wearables or contact sensors. I will supply sample clips for initial testing, but the code should accept any 30 fps video stream so I can later attach it to an in-car webcam. The final hand-off should include: • Inference script that ingests a live or recorded feed, detects eyes and mouth, classifies ...
...photographs that need an automated touch-up pipeline. The goal is a single, well-documented Python script (or small module) that: • reads one image or an entire folder of JPEGs, • boosts brightness and contrast in a controllable way, • performs effective noise reduction without blurring fine detail, and • applies colour correction so skin tones and skies look natural. I usually work with OpenCV and Pillow, so feel free to lean on those or another mainstream library (scikit-image, wand, etc.). Command-line arguments for input path, output path, and optional strength parameters will make the tool easy for me to integrate into an existing workflow. Deliverables 1. The Python script with clear docstrings and inline comments. 2. A short README explaini...
... and performance targets. Once we lock the scope, I’ll provide sample images plus any domain knowledge you need. You’ll handle the end-to-end pipeline: dataset preparation, model architecture selection (CNN, transformer, or whatever you judge best), training/tuning, and deployment in a lightweight API or on-device model. I’m comfortable with common stacks like Python, TensorFlow, PyTorch, and OpenCV, so feel free to propose the combination that will deliver both speed and accuracy. Deliverables • A working, tested model meeting agreed accuracy/F1 benchmarks • Inference script or REST/GraphQL API for easy integration • Brief setup guide and commented code I’m ready to move quickly and can review prototypes as soon as you have them. L...
... and performance targets. Once we lock the scope, I’ll provide sample images plus any domain knowledge you need. You’ll handle the end-to-end pipeline: dataset preparation, model architecture selection (CNN, transformer, or whatever you judge best), training/tuning, and deployment in a lightweight API or on-device model. I’m comfortable with common stacks like Python, TensorFlow, PyTorch, and OpenCV, so feel free to propose the combination that will deliver both speed and accuracy. Deliverables • A working, tested model meeting agreed accuracy/F1 benchmarks • Inference script or REST/GraphQL API for easy integration • Brief setup guide and commented code I’m ready to move quickly and can review prototypes as soon as you have them. L...
... and performance targets. Once we lock the scope, I’ll provide sample images plus any domain knowledge you need. You’ll handle the end-to-end pipeline: dataset preparation, model architecture selection (CNN, transformer, or whatever you judge best), training/tuning, and deployment in a lightweight API or on-device model. I’m comfortable with common stacks like Python, TensorFlow, PyTorch, and OpenCV, so feel free to propose the combination that will deliver both speed and accuracy. Deliverables • A working, tested model meeting agreed accuracy/F1 benchmarks • Inference script or REST/GraphQL API for easy integration • Brief setup guide and commented code I’m ready to move quickly and can review prototypes as soon as you have them. L...
... and performance targets. Once we lock the scope, I’ll provide sample images plus any domain knowledge you need. You’ll handle the end-to-end pipeline: dataset preparation, model architecture selection (CNN, transformer, or whatever you judge best), training/tuning, and deployment in a lightweight API or on-device model. I’m comfortable with common stacks like Python, TensorFlow, PyTorch, and OpenCV, so feel free to propose the combination that will deliver both speed and accuracy. Deliverables • A working, tested model meeting agreed accuracy/F1 benchmarks • Inference script or REST/GraphQL API for easy integration • Brief setup guide and commented code I’m ready to move quickly and can review prototypes as soon as you have them. L...
I have a working ASP.NET (VB.NET) + SQL face-recognition attendance portal th...timing, not just audio similarity. • Hook directly into my existing VB.NET codebase and SQL user tables with minimal architectural change. • Return a clear pass/fail flag so the current attendance logic remains untouched. Acceptance criteria 1. Demonstrable defeat of static images and replayed videos during testing. 2. Source code and comments in VB.NET, plus any helper libraries (e.g., OpenCV, MediaPipe, Azure Cognitive Services) properly referenced. 3. Simple setup guide so I can build, deploy, and tweak the phrase list myself. If you have ideas for extra safeguards—like random head-movements or an optional MFA step—I’m open to discussing them once the core r...
...expectations and delivery teams • Manage scope discussions, solution changes, and technical clarifications with clients • Ensure project timelines, quality, and deliverables are met • Maintain strong client relationships and ensure satisfaction throughout the development lifecycle Technical Expertise Required • Strong background in Computer Vision & Image Processing • Hands-on experience with: • OpenCV • Facial recognition systems • Video detection and analysis • Image classification and object tracking • Python-based AI/ML workflows • Understanding of model deployment and production pipelines • Ability to review code, guide architectural decisions, and unblock teams Leadership & Communication Skills • P...
...tanto en entornos interiores como exteriores. Mi idea es contar con un prototipo funcional que: • Procese vídeo en tiempo real (cámara fija o móvil). • Señale en pantalla la región donde aparece el objeto y registre la marca temporal. • Permita ajustar la sensibilidad y las condiciones de luz típicas de interior-exterior. Estoy abierto a que implementes la solución con herramientas como OpenCV, YOLO, TensorFlow o la que mejor se adapte al rendimiento buscado, siempre que el código quede bien documentado y pueda ejecutarse en Windows o Linux. Entregarás: 1. Código fuente comentado. 2. Instrucciones paso a paso para la instalación y el entrenamiento/fine-tuning del modelo....
... and any visual aids required for smooth, engaging live delivery. • At least two industry-specific application projects per course—think finance anomaly detection for LSTMs, medical-image segmentation, or manufacturing quality-control models—complete with datasets, step-by-step guidance, and evaluation metrics. • Clear instructions on the environment and tools you use (PyTorch, TensorFlow, OpenCV, Jupyter, or similar) so participants can replicate results during the sessions. By the end of our collaboration I should have three ready-to-run, instructor-led courses that advanced learners can dive into immediately, each capped with practical projects they can showcase at work. If you’ve taught or built curricula at this level and can commit to inte...
...three off-the-shelf webcams. As soon as a dart sticks, the system must pinpoint its exact segment, translate that into the correct score, and push a real-time event—ideally over a WebSocket—so any client can update the match instantly. Core expectations • Camera input: three synchronized 1080p webcams positioned around the board. • Tech stack: feel free to reach for either Python/OpenCV or C++/OpenCV; whichever lets you reach millisecond-level detection with reliable accuracy. • Calibration: a quick routine that someone in a pub can run in a couple of minutes—no chessboard targets or lab lighting required. • Output: headless service only; no on-screen UI. Emit JSON events such as `{ "x":…, "y":...
