Python training course - exercise 1

2018/05/24 Ishibashi

link to Python training course in hiki (only lab network.)

link to exercise 2

link to answer

In exercise 1, we will use PIL, Matplotlib, numpy.

Through this exercise, you can be able to import a image from your PC to Python, export a image from Python to your PC, and also conduct simple image data processing.

A learner is expected to finish "Learn the Basics" & "Data Science Tutorials", before starting this exercise.

Exercise 1.1: import, make white-black and export a image.

• Preparation: Download lena.png. you can use "wget" command in shell, or you can search URL.

wget http://optipng.sourceforge.net/pngtech/img/lena.png

• Exercise 1.1.1: import "lena.png" to Python using PIL. (a tip: putting a image into a variable.)

• Exercise 1.1.2: import "lena.png" to Python using matplotlib. (a tip: putting a image into a variable.)

• Exercise 1.1.3: show 2 images (in ex 1 & 2) data type using "type()" function.

• Exercise 1.1.4: make white-black image of "lena.png" and export to your PC using PIL.

• Exercise 1.1.5: make white-black image of "lena.png" and export to your PC using matplotlib. (a tip: using numpy)

Exercise 1.2: resize image

• Exercise 1.2.1: import "lena.png" and see the pixel numbers.
• Exercise 1.2.2: resize "lena.png" into 200 pixel by 200 pixel image using PIL (resampling pixels.) → sample image of Ex 1.2.2
• Exercise 1.2.3: resize "lena.png" into 200 pixel by 200 pixel image using PIL or matplotlib (cutting image.) → sample image of Ex 1.2.3