OpenCV Jobs

Astrology Platform Development Document (Website + Mobile App – Full Technical & Functional Specification) ________________________________________ 1. Project Objective To build a scalable astrology platform (Web + Android + iOS) that provides: • Live astrology consultations (chat/call/video) • Automated horoscope services • AI-powered Palm Reading & Face Reading • Personalized astrology reports • E-commerce for astrology products/services ________________________________________ 2. User Roles 2.1 Customers (End Users) • Register/Login (OTP, Email, Social) • Book astrologers (chat/call/video) • Upload palm/face images • Purchase reports/services • Wallet & payment management 2.2 Astrologers • Profile creation (experie...

I’m building a mobile companion that teaches golfers to perfect their swing through on-screen drills, instant feedback and progress tracking. The app must ship on both iOS and Android from a single codebase, so I’d like it developed in React Native. If you can demonstrate clear advantages, I’m willing to consider a Flutter approach, but React Native is the baseline expectation. App will help golfers record and analyze their swinging on phone screens What I need you to tackle: • Implement core screens (on-boarding, video-capture, swing analysis, drill library, progress stats) following the Figma wireframes I’ll supply. • Integrate basic analytics, in-app purchase hooks and secure cloud storage (Firebase preferred). • Package and hand over prod...

Project Overview We have a collection of 2D animated football drill videos, each using different visual templates/styles. We need an AI-based solution that can automatically transform these existing videos into a new, consistent animation style with a uniform background while preserving the drill movements and tactics. Current Situation • Input: Multiple 2D animated football drill videos • Challenge: Each video uses a different template/style (varying animation styles, player designs, field layouts, color schemes) • Goal: Transform ALL videos into a unified, professional animation style with a consistent background regardless of their original template Key Requirement: Consistent Background System IMPORTANT: We will provide a single, consistent background image (football...

Cần tìm Developer có kinh nghiệm AI / Computer Vision để code cho sản phẩm hệ thống sử dụng Camera AI quét trực tiếp sản phẩm giày, nhận diện và kẻ line phân biệt chênh lệch độ cao đế giày. Công việc cụ thể: Tích hợp code với Camera AI / Camera thông minh để quét hình ảnh realtime Xử lý hình ảnh đầu vào từ camera Detect viền đế giày, bề mặt tiếp xúc, độ nghiêng Kẻ line trực quan thể hiện phần cao thấp lệch nhau Tính toán sai số / độ chênh lệch theo pixel hoặc mm Tối ưu tốc độ xử lý để chạy ổn định realtime Bàn giao source code hoàn chỉnh Yêu cầu ứng viên: Thành thạo Python / C++ Có kinh nghiệm Op...

Work Zone Digital Twin — Pipeline Testing, Validation & Bug Fixes Project Overview We have a completed 11-stage Python pipeline that converts dashcam video and GPS/IMU telemetry into a top-down map of highway work zone assets (cones, drums, signs). The pipeline is built and running end-to-end. We need an engineer to test it thoroughly, validate outputs, and fix remaining issues. Pipeline Summary 11-stage offline pipeline: Stage 1-3: Telemetry preparation, keyframe extraction, video/GPS sync Stage 4: COLMAP sparse SfM reconstruction Stage 5: Metric scale alignment (GPS + physical reference measurement) Stage 6-7: Manual and auto annotation tools (browser-based) Stage 8: Multiview triangulation of asset 3D positions Stage 9: Taper ordering and work zone measurements Stage 10: Grou...

I have a very time-sensitive situation involving CCTV security-camera footage where the license plate on a moving car is lost in both low resolution and motion blur. My goal is a sharp, clearly readable plate, not just a slight tweak. You will receive either the full video or a set of individual frames—whichever you feel will yield the best result. Please outline the file format, frame extraction guidelines, or any metadata you need so I can prepare everything in one upload. Because the footage suffers from both resolution loss and motion streaking, I’m expecting a mix of super-resolution, de-blurring, frame stacking, or other forensic video-enhancement techniques. If you normally rely on tools such as Amped FIVE, MATLAB, Topaz, OpenCV, or custom AI models, let me know&mdas...

I have four base product mock-ups that need to be shown in every fabric option we carry—well over a thousand swatches. To avoid doing this manually, I need a script that repeatedly drops each fabric file on top of each base image, exports the composite as a flat JPEG, and then moves on to the next combination. You may use whichever workflow you prefer—Python with Pillow/OpenCV, ImageMagick, a Photoshop JSX, or another proven solution—as long as the result is reliable and fully automated. The script must: • Read a folder containing the four base JPEGs (see reference mock-ups in this Canva board: ). • Iterate through a folder of 1,000+ fabric images. • Overlay each fabric onto each base in the correct position and scale (the overlay location is consiste...

I have collected hundreds of standard photographs of hands in many poses and from many people. Nothing is uniform: skin tones, hand sizes, lighting, backgrounds, and even finger counts may vary. The goal is to turn this dataset into a practical analysis tool that can: • calculate the flexion/extension angle at every finger joint in each image • flag when a finger or phalanx is completely absent so that it can be recorded automatically I expect you will combine classical computer-vision preprocessing with a deep-learning model (PyTorch or TensorFlow are fine) and possibly leverage pose-estimation libraries such as MediaPipe or OpenCV for landmark detection. Accuracy matters more than perfection in lighting or background, so robust data-augmentation and domain-adaptation tech...

I have a growing archive of high-resolution intraoral photos and I need an AI mechanism that can automatically locate every tooth in each image, assign the correct FDI or Universal numbering, and clearly classify each tooth type (incisor, canine, premolar, molar, wisdom). You are free to decide whether a pre-trained or custom-built model is best; accuracy and speed matter more to me than the underlying brand of framework. Python with PyTorch or TensorFlow, OpenCV for preprocessing, and a clean REST or CLI inference interface would suit my workflow, but if you have a more elegant stack, I’m open. Key deliverables • A trained model capable of processing new intraoral 3d scans and returning JSON with tooth positions, numbers and classes. • Lightweight script or API e...

I need a complete, ready-to-run video analytics tool that flags car-collision accidents in city-surveillance footage. The workflow must stay simple for the end user: they upload a clip, hit “Analyze,” and, within seconds, the screen returns something like: Accident Detected: YES Severity: HIGH (low | medium | high) Confidence: 92 % Time-stamp: 00:12 Key points to build in • Scope of detection: only car collisions; no pedestrian or bicycle tracking at this stage. • Source footage: city CCTV style feeds (fixed street-level cameras). • No real-time push notifications are required—the result can appear once processing is finished. I will rely on you to select or curate a robust, publicly available dataset (or a combination of datasets) that...

I’m assembling a practical textbook that teaches drone technologies through hands-on programming with Python. The book should walk readers from fundamental concepts straight into real-time applications, letting them write, test, and fly code as they learn. Core coverage has to include basic Python syntax for newcomers, real-time data processing techniques, and solid drone control algorithms that work on popular flight controllers (PX4, ArduPilot, DJI SDKs, etc.). Example projects—think live telemetry dashboards, autonomous waypoint missions, and computer-vision-assisted flight—should be coded step-by-step so readers can replicate results on their own hardware. Because it’s a learning resource, clear explanations, commented code, troubleshooting tips, and small rev...

I need a rock-solid, real-time player tracking module for football matches that guarantees the ID assigned to each athlete at kick-off never changes until the final whistle. Right now, our OpenCV–TensorFlow–YOLO pipeline sometimes swaps or loses IDs when athletes overlap, leave the frame briefly, or the camera angle shifts, and that ruins every speed, distance, position, and heat-map metric we generate. Key requirements • Sport: football. • Camera setup: five or more synchronized feeds. • Existing stack: OpenCV, TensorFlow, YOLO – your solution must plug into this environment. What I expect 1. A multi-object tracker with integrated re-identification that preserves the same unique ID through occlusion, crossings, short disappearances, or camera changes...

I need a compact, well-structured script that ingests a 2D image and returns a high-quality .glb file in one pass, with no noticeable loss of fidelity. Speed is critical; the final tool should feel almost instantaneous when run on a modern desktop. Because I have no fixed preference for specific libraries, feel free to choose whatever stack best balances performance and quality—OpenCV, TensorFlow, or any other framework you’re confident will get the job done quickly and cleanly. What matters most is that the resulting geometry, textures, and materials in the .glb look crisp and faithful to the source image. Deliverables • Source code with clear inline comments • A straightforward README explaining environment setup, usage, and any dependencies • A sample ...