help develop an algorithm in opencv-python to run self-service-barber
$250-750 USD
착불
Please note this project was advertised earlier, but was withdrawn and now all is clear for it to go ahead but the budget has been reviewed and adjusted accordingly.
I need help on a project that aims to deliver a self-service-barber solution. It's about developing an algorithm that captures an image and do some image analysis/processing like detection, segmentation of roi, clustering, reshaping, drawing lines etc. This processing needs to use a wide variety of methods to perform different analysis to output different dimensions from the ROI like length, density, texture, dominant colour, etc. Also, it has to be interactive as it has to accept user input as arrays or arguments. I done some research on this and got it in my head and think it’s got a lot of commercial potential.
Deliverables
Highlevel Overview of Deliverables / Pipeline / Workflow
• Start the system
• login or register on the web app
Data – Acquisition, Ingestion
• face, head and hair detection (using haar cascades and classifiers)
• show the image (raw or unprocessed)
• capture the image (using web cam or 3D scanner)
• etc
Information – Store, Curate, Cleaning, Feature
• store image in temp directory
• retrieve the image to perform processing and analysis (edge detection, denoising, Hough, contours, thresholding etc)
• use coordinates to segment the head into clusters (input from the user)
• extract features from images and match images
• detect and segment (instance or semantic) hair
• etc
Insights - Modelling
• model to implement head landmark like (68 dlib face landmarks)
• implement supervised / unsupervised machine learning algorithms for image processing
• deep learning models for image classification, segmentation, object detection, transfer learning and neural style transfer
• show the image (processed - try before you buy feature)
• etc
Productionise - Decision
• enable styling each cluster differently (input from the user)
• draw-lines to boundary these clusters (lines guided by head landmarks)
• treat each cluster as separate ROI
• etc
Execution – Action
• confirmation and check out
• algorithm to treat these clusters as one array or list
• algorithm executes
notion link to be shared with hired engineer
프로젝트 ID: #27572662
프로젝트 소개
이 일자리에 대한 프리랜서 7 명의 평균 입찰가: $649
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Hello, Sir. I read your opinion seriously. Experience in worked with Python and machine learning using Open CV. I have experience of 7 years and done similar projects in done similar projects before. As a man of tru 기타
