Skip to content

Mazhar004/object-detection-api

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Object Detection Flask API

Custom object detection PyTorch yoloV3 pretrained model(Drone Detection)

Installation

Python Version

  • Python == 3.7

Library Installation

Windows

  • Virtual Environment
    • python -m venv venv
    • .\venv\Scripts\activate
    • If any problem for scripts activation
      • Execute following command in administration mode
        • Set-ExecutionPolicy Unrestricted -Force
      • Later you can revert the change
        • Set-ExecutionPolicy restricted -Force
  • Library Install
    • python .\installation\get-pip.py
    • pip install --upgrade pip
    • pip install --upgrade setuptools
    • pip install -r requirements.txt

Linux

  • Virtual Environment
    • python -m venv venv
    • source venv/bin/activate
  • Library Install
    • pip install --upgrade pip
    • pip install --upgrade setuptools
    • pip install -r requirements.txt

Pretrained Weight Download

  • Download pretrained model from Follwing Link:
  • Place in the ml/weights folder

Drone Detection

Web Interface View

Male.jpg
Male.jpg

Detection from Web Interface

  • Run flask app
    • python main.py
  • Open web interface
  • Upload image from anywhere
    • Allowed image extensions [jpg, png, jpeg]

Referecne

About

Integrate ML/DL models(Object Detection yolov3) with Flask API for easy & interactive web Interface.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy