https://github.com/franciscoossian/flowerapi

mini mini mini API that get a link of image and return a a flower information in image (if image cotains a flower that the machine trained)
https://github.com/franciscoossian/flowerapi

flask keras machine-learning python tensorflow

Last synced: 9 days ago
JSON representation

mini mini mini API that get a link of image and return a a flower information in image (if image cotains a flower that the machine trained)

• Host: GitHub
• URL: https://github.com/franciscoossian/flowerapi
• Owner: FranciscoOssian
• Created: 2022-01-04T15:05:43.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-03T12:01:58.000Z (over 1 year ago)
• Last Synced: 2024-11-17T03:42:17.413Z (2 months ago)
• Topics: flask, keras, machine-learning, python, tensorflow
• Language: Python
• Homepage:
• Size: 512 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# flowerAPI 🌼🌸❀✿🌷

mini mini mini Machine Learning API that get a link of image in query params and return a flower information of image (if image cotains a flower that the machine trained). Build with TensorFlow and Keras for the ML, and python for the API environmental.

# 📋 How get this model

## Google Colab step-by-tep

You can make the step-by-step to get this model, go to this (link). Just mount your drive with this colab, run it and you will have this model in yout drive.

## Download model.h5

Or just download this .h5 (that is the model hosted in google drive) (link)

# 👨‍💻 Getting started

Clone this repo, put the model file in root folder with name `model.h5` (heras extension) and run the main.py

# This project its just a teste for another project involving Machine Lerarning and content moderation for a App.