Image parser

Image Processing Pipeline (Go)

This project demonstrates image processing using both sequential and asynchronous pipeline approaches in Go.

Features

• Loads images (loadImages)
• Resizes them (resizeImages)
• Converts to grayscale (grayScaleImages)
• Saves them to disk (saveImages)
• Measures and prints execution time

Usage

go run main.go

Sample Output

Images to parse: 4
Saved images number: 4
sequential elapsed:  215.328125ms
----------
Images to parse: 4
Saved images number: 4
async elapsed:  184.294792ms

Purpose

The goal is to showcase how Go's concurrency primitives — goroutines and channels — can be used to build a performant data processing pipeline.

Requirements

• Go 1.18 or higher
• Images: image1.jpg, image2.jpg, image3.jpg, image4.jpg must be present in the project raw_images folder
• A helpers package with the following methods:
  • LoadImage(path string) (image.Image, error)
  • (*Img) Resize()
  • (*Img) GrayScale()
  • (*Img) SaveToFile() error

License

MIT