OpenCV Jobs

I am seeking an expert in AI and Machine Learning to develop a roulette prediction system prioritizing the precision of its forecasts. The model should leverage real-time game data to make predictions, employing a supervised learning approach. Key Requirements: - Develop an AI/ML model focused on maximising prediction accuracy - Utilise real-time game data for the betting predictions - Implement a supervised learning model Tracking the Ball Predicting the Outcome high-speed data collection, physics-based modeling, and machine learning Screen capture setup : pillow or PyAutoGUI OpenCV or FFmpeg Object detection, wheel ball tracker of live casino an Get exact number where ball land Ideal Skills: - Extensive experience in AI/ML - Strong expertise in supervised learning techniques - Proficie...

I'm in need of a meticulous and seasoned Floor Segmentation Specialist with a robust background in image and spatial segmentation, particularly with commercial floor plans. Key Responsibilities: - Analyze spatial layouts of provided commercial floor plans to understand the spatial relationships and distributions of various elements. Requirements: - Significant experience in working with commercial floor plans. - Proficient in image and spatial segmentation. - Able to work with floor plan images in JPEG/PNG formats. - Detail-oriented with a knack for identifying subtle spatial elements. - Capable of providing insights based on spatial analysis. Ideal candidates will have a portfolio demonstrating previous work on commercial floor plans and spatial analysis.

I am looking to develop a web-based script that allows users to upload a picture of their room and see how Phase 1: Different wallpapers would look in their rooms. Phase 2 would be: Changing paints Changing flooring / carpeting In Phase 1 MVP (Minimum Viable Product) the scope would be: 1. Image Upload: Users can upload images of their rooms through a simple interface. 2. Wall Detection: Use basic 2D image processing (such as ) to detect walls and edges in the uploaded images. 3. Wallpaper Selection: Users can choose wallpapers from a predefined catalog (coming from a PIM). 4. Image Rendering: Automatically overlay the selected image on the detected walls (using a basic perspective adjustment).