https://github.com/jkl404/object_detection_using_opencv

Object Detection is MACHINE LEARNING PROJECTS used for the real-time operation which can process images and videos to identify objects, faces. This Project focuses on detecting objects.
https://github.com/jkl404/object_detection_using_opencv

flask object-detection opencv python3

Last synced: 4 days ago
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Object Detection is MACHINE LEARNING PROJECTS used for the real-time operation which can process images and videos to identify objects, faces. This Project focuses on detecting objects.

• Host: GitHub
• URL: https://github.com/jkl404/object_detection_using_opencv
• Owner: JKL404
• Created: 2021-11-28T07:48:19.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-11-28T12:07:59.000Z (almost 4 years ago)
• Last Synced: 2025-06-09T10:46:58.441Z (4 months ago)
• Topics: flask, object-detection, opencv, python3
• Language: CSS
• Homepage:
• Size: 3.72 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Detect an object with OpenCV-Python

## _JKL404_

[![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://travis-ci.org/joemccann/dillinger)

OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human. This Project focuses on detecting objects.

![Object Detection](https://neilyongyangnie.files.wordpress.com/2018/11/0_hmacefect2pyqoxf.jpg)

## Features

- Use machine learning to understand your images with industry-leading prediction accuracy

- Train machine learning models that classify images by your custom labels

- Detect objects and faces

## Installation

![Object Detection](https://s3-us-west-2.amazonaws.com/static.pyimagesearch.com/opencv-yolo/yolo_overpass_output.gif)

Install the dependencies and devDependencies and start the server.

```sh

pip install flask, python, opencv-python, numpy, matplotlib

python main.py

```

Verify the deployment by navigating to your server address in

your preferred browser.

```sh

127.0.0.1:8000

```

## DEMO

  Demo Link

  ![Image 1](https://raw.githubusercontent.com/JKL404/Object_Detection_using_OpenCV/main/demo/image-1.png)

  

  ![Image 2](https://raw.githubusercontent.com/JKL404/Object_Detection_using_OpenCV/main/demo/image-2.png)

  

  ![Image 3](https://raw.githubusercontent.com/JKL404/Object_Detection_using_OpenCV/main/demo/image-3.png)

  

  ![Image 4](https://raw.githubusercontent.com/JKL404/Object_Detection_using_OpenCV/main/demo/image-4.png)

## Object List

  person

  

  bicycle

  

  car

  

  motorbike

  

  aeroplane

  

  bus

  

  train

  

  truck

  

  boat

  

  traffic light

  

  fire hydrant

  

  stop sign

  

  parking meter

  

  bench

  

  bird

  

  cat

  

  dog

  

  horse

  

  sheep

  

  cow

  

  elephant

  

  bear

  

  zebra

  

  giraffe

  

  backpack

  

  umbrella

  

  handbag

  

  tie

  

  suitcase

  

  frisbee

  

  skis

  

  snowboard

  

  sports ball

  

  kite

  

  baseball bat

  

  baseball glove

  

  skateboard

  

  surfboard

  

  tennis racket

  

  bottle

  

  wine glass

  

  cup

  

  fork

  

  knife

  

  spoon

  

  bowl

  

  banana

  

  apple

  

  sandwich

  

  orange

  

  broccoli

  

  carrot

  

  hot dog

  

  pizza

  

  donut

  

  cake

  

  chair

  

  sofa

  

  pottedplant

  

  bed

  

  diningtable

  

  toilet

  

  tvmonitor

  

  laptop

  

  mouse

  

  remote

  

  keyboard

  

  cell phone

  

  microwave

  

  oven

  

  toaster

  

  sink

  

  refrigerator

  

  book

  

  clock

  

  vase

  

  scissors

  

  teddy bear

  

  hair drier

  

  toothbrush

## License

MIT

**Free Software, Hell Yeah!**