Template Matching

Template matching is a technique to extract or highlight the area or object of an image using a smaller image of that area. The basic goal of template matching is to find a smaller image or template into a larger image.

Requirements

• cv2
• numpy
• matplotlib.pyplot
• glob2
• Google Colab

Run Locally

Clone the project

  git clone https://github.com/ayushjindal23/Template-Matching.git

Go to the project directory

  cd [folder name]

Install dependencies

  pip install opencv-python numpy matplotlib glob2

Google Colab

Colab is a Google’s free cloud service which will let you run your deep learning or machine learning models in cloud.

Creating New Colab Notebook

• Open your Google Drive
• Create a new notebook via Right click > More > Colaboratory

GPU Setting

Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator

!pip install or !apt-get install

!pip install opencv-python numpy matplotlib glob2

Cloning Github Repo to Google Colab

!git clone https://github.com/ildoonet/tf-pose-estimation.git

Then, using the Table of Contents, you can access all of the files in the github repository and run the programmes using cells.

Demo

Output