Скачать или смотреть Medical Image Feature Extraction: Python Web Application Development Part 1

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In this video, I delve into the development of a web application focused on feature extraction from images. I start by setting up the project structure, including HTML templates, CSS, and JavaScript files. Throughout the video, I troubleshoot issues related to displaying images and populating dropdown menus. I also discuss the integration of various technologies like Flask, OpenCV, and Plotly. The application aims to process images, demonstrating feature detection using different algorithms. I highlight the importance of context in development, comparing tools like GitHub Copilot and GPT-4 for coding assistance. This video is an insightful journey through the nuances of web application development, particularly in image processing and feature extraction.

(00:00) Introduction and project setup
(01:02) Exploring the web application's functionality
(03:01) Discussing feature extraction from images
(06:01) Decision on using Flask for the application
(09:03) Organizing files and folders for the project
(11:07) Setting up HTML templates and JavaScript files
(13:28) Implementing feature detection using Python
(16:03) Troubleshooting image display in HTML
(19:25) Comparing GitHub Copilot and GPT-4 for coding
(22:01) Context management in development
(24:00) Final thoughts and wrap-up

#WebDevelopment #ImageProcessing #FeatureExtraction #Flask #OpenCV #Plotly #Python #JavaScript #HTML #CSS #GitHubCopilot #GPT4 #CodingTutorial #WebAppDevelopment #TechTutorial