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Learn to create a REST API microservice for extracting faces from images using OpenCV, OpenCV-python, Flask, Docker, and Heroku

cfe.sh/projects/opencv-rest-api

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Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
api		api
extract		extract
uploader		uploader
.gitignore		.gitignore
Dockerfile		Dockerfile
Readme.md		Readme.md
build.sh		build.sh
deploy.sh		deploy.sh
opencv-rest-api.code-workspace		opencv-rest-api.code-workspace
requirements.txt		requirements.txt
run.ps1		run.ps1
run.sh		run.sh
run_d.sh		run_d.sh
runtime.txt		runtime.txt

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OpenCV REST API

Extract faces from any image by building a REST API microservice using OpenCV

Code upgraded for Python 3.10

Lesson Code

Lessons 1-3: no significant code added

4 - Hello World with Flask and Gunicorn

5 - Storage Dirs Config

5 - Storage Directories

6 - Serve Static Files

7 - Allowed File Extensions

8 - API Upload View

8 - API Upload View

9 - Python Requests Uploader Module

10 - Save File Uploads

11 - File Upload Handler

12 - Display Image via OpenCV

13 - Loading HaarCascades

14 - Extracting Faces with OpenCV

15 - Faces Extract Utility Function

16 - OpenCV Upload & Extract View

17 - Serving Static Files from Local Path

18 - Serve Faces Output as Live URL

19 - Deploy to Heroku via Docker

20 - Thank you: no significant code added

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Learn to create a REST API microservice for extracting faces from images using OpenCV, OpenCV-python, Flask, Docker, and Heroku

cfe.sh/projects/opencv-rest-api

heroku docker dockerfile opencv flask tutorial opencv-python cfe

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