AI
Prompt
Training Process Visualization: Use a flowchart or diagram to depict the iterative training process of AI algorithms. Show how the AI "learns" from input data and gradually improves its ability to generate art.
Training Process Visualization: Use a flowchart or diagram to depict the iterative training proce... [more]
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![Prompt: from PIL import Image, ImageDraw, ImageFont
# Create a blank image with white background
width, height = 1000, 600
image = Image.new('RGB', (width, height), 'white')
draw = ImageDraw.Draw(image)
# Set up basic font
font_path = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf"
title_font = ImageFont.truetype(font_path, 16)
subtitle_font = ImageFont.truetype(font_path, 14)
text_font = ImageFont.truetype(font_path, 12)
# Title
draw.text((10, 10), "Updated Class Diagram for 'Create Title' Use Case", font=title_font, fill='black')
# Classes and Attributes
classes = {
"Title": ["+ titleID: int", "+ titleName: string", "+ createDate: date", "+ getDetails(): string", "+ setDetails(details: string): void"],
"Movie": ["+ director: string", "+ duration: int", "+ getDetails(): string", "+ setDetails(details: string): void"],
"Game": ["+ genre: string", "+ platform: string", "+ getDetails(): string", "+ setDetails(details: string): void"],
"Music": ["+ artist: string", "+ album: string", "+ getDetails(): string", "+ setDetails(details: string): void"],
"TitleFactory": ["+ createTitle(type: string, details: string): Title", "+ createMovie(details: string): Movie", "+ createGame(details: string): Game", "+ createMusic(details: string): Music"]
}
# Positions for the classes
positions = {
"Title": (50, 50),
"Movie": (50, 200),
"Game": (350, 200),
"Music": (650, 200),
"TitleFactory": (350, 400)
}
# Draw classes
for class_name, attributes in classes.items():
x, y = positions[class_name]
draw.rectangle((x, y, x+250, y+25), outline='black', width=2)
draw.text((x+5, y+5), class_name, font=subtitle_font, fill='black')
for i, attribute in enumerate(attributes):
draw.text((x+5, y+35+i*20), attribute, font=text_font, fill='black')
# Save the image
image_path = "updated_class_diagram.png"
image.save(image_path)
image.show() # This will display the image if the environment supports it](https://cdn.openart.ai/published/QNtcDyGLUKGn221wE0hl/aFOzs2wj_cmu0_512.webp)
