/Template-Matching

Primary LanguageC#

Introduction

This repository aims to detect multi same objects in one image for grasping robot using YoloV8 and some traditional techniques in computer vision via OpenCV-Python

Getting Started

Clone this repository and install all dependencies

git clone https://github.com/thanhhung0112/Template-Matching.git
cd Template-Matching
pip install -r requirements.txt

Usage

Running the following command line for using api endpoint

python my_cvu_api.py

You have to send the Post request with key-value pairs to the api endpoint

curl -X POST -H "Content-Type: multipart/form-data" \
			 -F "api_folder=<path/to/the/folder/which/api/will/run/in/this>" \
			 -F "output_folder=<relative/path/to/output/folder/you/want/to/save>" \
			 -F "img_path=<relative/path/to/the/image>" \
			 -F "template_path=<relative/path/to/the/template>" \
			 -F "threshold=0.75" \
			 -F "overlap=0.4" \
			 -F "method=cv2.TM_CCOEFF_NORMED" \
			 -F "min_modify=-1" \
			 -F "max_modify=1" \
			 -F "server_ip=<id address of your computer>"\
			 http://127.0.0.1:5000/my_cvu_api

Example

curl -X POST -H "Content-Type: multipart/form-data" \
			 -F "api_folder=/home/kratos/code/Capstone/Demo-model-AI/Template-Matching" \
			 -F "output_folder=Output" 
			 -F "img_path=Dataset/Src1.bmp" \
			 -F "template_path=Dataset/20220611.bmp" \
			 -F "threshold=0.75" \
			 -F "overlap=0.4" \
			 -F "method=cv2.TM_CCOEFF_NORMED" \
			 -F "min_modify=-1" \
			 -F "max_modify=1" \
			 -F "server_ip=192.168.0.105"
			 http://127.0.0.1:5000/my_cvu_api

Using Postman to send the request to api endpoint instead if you do not want to use command line.

User Interface

Using Winforms application to create the UI for easily program manipulating image You can configure params for api endpoint at General Setting and enter an IP address to Server IP