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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

101 stars 48 forks Branches Tags Activity

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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