Opencv Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $800 - Posted
Check this video at 1:10 Similar application needs to be developed for Android and iOS using SLAM, blob detection, multiple object tracking, camshift tracking. Basically in simple words what needs to be done is. User must be able to mark / highlight (draw lines, circles) on any object in the environment and then the marking (highlight) needs to stay onto the object that has been marked. In phase 2, this same functionality needs to work on video + audio chat wherein the video feed of camera of person1 is also playing on person2's screen and both of them can annotate onto the objects in surrounding. Cost: 800 USD Estimated time: 10 days for phase 1
Skills: OpenCV Image Processing OpenCL
Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Looking for a C++ developer for an OpenCV triangulation project to track different colour lights. Requirements: Application must be built on OpenCV and access 2-4 camera's for multiple colour object triangulation. (3-4 lights will be tracked independently) Calibration to be done on colours and saved to a config file, distance calibration done with a checkered board, height to be asked by the user. ... Requirements: Application must be built on OpenCV and access 2-4 camera's for multiple colour object triangulation. (3-4 lights will be tracked independently) Calibration to be done on colours and saved to a config file, distance calibration done with a checkered board, height to be asked by the user. ... Have source example files for triangulation, these are OpenCV python files though. Have sample source files of using multiple ps3 eye camera's(cl-eye sdk).
Skills: OpenCV C++
Fixed-Price - Expert ($$$) - Est. Budget: $1,100 - Posted
Context We would like to create a mobile application that takes pictures of Belgian vehicle official document, send them on a server to processed them with OCR (Tesseract) to extract relevant information. We previously posted a job description for this subject. However, we refined the scope of the job because previous one was too ambitious and not accurate enough on how we wanted to work on. We have decreased the scope of the job, but with more details on how to proceed. Before developing the complete stack, we need to check if the document recognition is feasible or not, what processing should be done. We have identified several steps to be done : 1) Define the image processing and the Tesseract configuration required to extract relevant information from a scanned document. 2) Maybe a training phase for Tesseract. 3) Define the image processing to correct problems coming from smartphone’s picture (wide-angle lens, parallax, screwing…) Here we will focus on the first step only. However, if the collaboration is good and the results are good, we will keep working on the next steps with the hired person. What is asked The approach we would like to follow is : - Using Tesseract’s confidence score to determine a several image processing methods, - Using a key - value method to extract the relevant fields. You can see that on the attached documents, information are prefixed with a key (C.1.3, P.1. …) It means that the preprocessing phase is an iterative process. Several OCR passes are used in loop with different image-preprocessing parameters filters ; best result is selected by confidence. Tesseract provides confidence in OCR result for each recognized word. You’ll have to: - Define several image processing, - Write a script to preprocess an image (as above) and provide the recognition of the relevant information (as hash). For information : during our first tests, we find out that using a leveling on a grey-level image, with a Tesseract trained for French gave interesting results. How to process We will provide you several scanned document to use as inputs. As they are official documents, we will provide them only after we agree to work together. The sample images here are for information and their quality is poor. Better pictures, non obfuscated, will be provided to you before working on. We have also detected restrictions on the value fields (alphanumeric, numeric, list values ...) Deliverables You should provide us : - The script ( our preference is python, tell us if you have another preference), - The configuration of Tesseract, - The processed images, - Documentation on how to install, run the script, the dependencies… - Information about stable errors. We hope to not have stable errors in Tesseract recognition. But if we face this issue, it won’t mean the project will be refused. It means that we’ll have to do another training step. In fact, we are trying to find out the specific font used on the document in order to train Tesseract for this font. We’ll validate your findings by processing the images with the provided script and running the OCR against the processed images. Other non-functional specifications - The OS should be Ubuntu, - You’ll have to use the latest Tesseract version, trained for French, - The script should be in python, - The only requested interface is command line.
Skills: OpenCV Computer vision Image Processing Python
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I'm looking for developer able to develop for us virtual fitting room based on Kinect 2.0 for Windows PC. Final app should handle 3D clothes models (prepared in 3DS) and should work similar to: You can use for this this source code: This is almost ready solution ,so I think there would be not too much modifications to finish the project. Please provide me with estimation (time and cost).
Skills: OpenCV Microsoft Kinect Development
Fixed-Price - Intermediate ($$) - Est. Budget: $400 - Posted
i need to detect a fast moving ball (roulette Ball), then display his speed , aso i need to display the wining number that the ball stop in with accuracy at least 99.99% . Please explain the methodology and the concept that you will use for this problem. I'm open to suggestion. Interview will start now, please apply and here is a video for the moving ball . The video :: Thank you
Skills: OpenCV C++ Qt