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Processing Multiple Images

This tutorial shows how to process multiple images with a single agent using Swarms' multi-modal capabilities. You'll learn to configure an agent for batch image analysis, enabling efficient processing for quality control, object detection, or image comparison tasks.

Installation

Install the swarms package using pip:

pip install -U swarms

Basic Setup

First, set up your environment variables:

WORKSPACE_DIR="agent_workspace"
ANTHROPIC_API_KEY=""

Code

Create a list of images by their file paths
Pass it into the Agent.run(imgs=[str]) parameter
Activate summarize_multiple_images=True if you want the agent to output a summary of the image analyses

from swarms import Agent
from swarms.prompts.logistics import (
    Quality_Control_Agent_Prompt,
)


# Image for analysis
factory_image = "image.jpg"

# Quality control agent
quality_control_agent = Agent(
    agent_name="Quality Control Agent",
    agent_description="A quality control agent that analyzes images and provides a detailed report on the quality of the product in the image.",
    model_name="claude-3-5-sonnet-20240620",
    system_prompt=Quality_Control_Agent_Prompt,
    multi_modal=True,
    max_loops=1,
    output_type="str-all-except-first",
    summarize_multiple_images=True,
)


response = quality_control_agent.run(
    task="what is in the image?",
    imgs=[factory_image, factory_image],
)

print(response)

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If you're facing issues or want to learn more, check out the following resources to join our Discord, stay updated on Twitter, and watch tutorials on YouTube!

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2.4 KiB Raw Blame History