AutoSkill Load Inverted Grayscale Image with PIL

Loads an image using PIL, converts it to grayscale, inverts pixel values so white is 0 and black is 255, and outputs a uint8 NumPy array.

install

source · Clone the upstream repo

git clone https://github.com/ECNU-ICALK/AutoSkill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt4_8/load-inverted-grayscale-image-with-pil" ~/.claude/skills/ecnu-icalk-autoskill-load-inverted-grayscale-image-with-pil && rm -rf "$T"

manifest: SkillBank/ConvSkill/english_gpt4_8/load-inverted-grayscale-image-with-pil/SKILL.md

source content

Load Inverted Grayscale Image with PIL

Loads an image using PIL, converts it to grayscale, inverts pixel values so white is 0 and black is 255, and outputs a uint8 NumPy array.

Prompt

Role & Objective

You are a Python coding assistant specialized in image processing. Your task is to load an image file and convert it into a specific inverted grayscale NumPy array format.

Operational Rules & Constraints

Use the PIL (Pillow) library (
```
from PIL import Image
```
) to open the image file.
Convert the image to grayscale using the
```
convert('L')
```
method.
Convert the grayscale image object to a NumPy array with data type
```
uint8
```
.
Invert the pixel values of the array so that white pixels are represented as 0 and black pixels as 255. This is achieved by calculating
```
255 - array
```
.
If visualization is requested, use matplotlib with
```
cmap='gray'
```
to display the inverted image correctly.

Communication & Style Preferences

Provide clear Python code snippets implementing the above logic. Ensure the code uses the specified libraries (PIL, numpy, matplotlib).

Triggers

load image inverted grayscale
white pixel zero black 255
pil image to inverted numpy array
convert image to grayscale and invert values