PicImageSearch Documentation

PicImageSearch supports both synchronous and asynchronous execution modes. Asynchronous usage is recommended.

• Asynchronous (Recommended): Import from the base package: from PicImageSearch import Network, ....
• Synchronous: Import from the sync subpackage: from PicImageSearch.sync import ....

The PicImageSearch.model.tineye module provides an interface to perform reverse image searches using the TinEye engine. This model allows you to submit an image and retrieve matching results from the TinEye service.

from PicImageSearch.model.tineye import Tineye

# Initialize the Tineye model
tineye = Tineye()

# Perform a search (example usage depends on specific implementation details)
# results = tineye.search(image_path_or_url)

The PicImageSearch.model.yandex module provides functionality to perform reverse image searches using the Yandex engine. This model is part of the PicImageSearch library and allows you to pass an image (via URL or local file) to retrieve search results from Yandex.

from picimagesearch.model.yandex import YandexModel

# Initialize the model
model = YandexModel()

# Perform a search using an image URL
results = model.search("https://example.com/image.jpg")

The google_lens engine allows you to perform visual searches using Google Lens. It is part of the PicImageSearch.engines module. You can use it by initializing the GoogleLens class and calling its search methods with an image URL or local file path.

from PicImageSearch.engines import GoogleLens

# Initialize the engine
engine = GoogleLens()

# Perform a search using an image URL
results = engine.search("https://example.com/image.jpg")

Install PicImageSearch using pip. This project requires Python 3.10 or higher.

Standard installation:

pip install PicImageSearch

Using the Tsinghua mirror:

pip install PicImageSearch -i https://pypi.tuna.tsinghua.edu.cn/simple

The AnimeTrace engine is part of the PicImageSearch.engines module. It can be used to trace anime images through the AnimeTrace service. To use it, you must instantiate the AnimeTrace class from the PicImageSearch.engines.anime_trace module.

from PicImageSearch.engines.anime_trace import AnimeTrace

# Initialize the engine
engine = AnimeTrace()

# Perform a search (example usage pattern)
# results = await engine.search(image_url='...')

The EHentai engine allows you to search for content on EHentai. It is part of the PicImageSearch.engines.ehentai module. To use it, you must instantiate the EHentai class from the PicImageSearch.engines.ehentai package.

from PicImageSearch.engines.ehentai import EHentai

engine = EHentai()
# Use engine.search() to perform searches

The Baidu search engine is available via the PicImageSearch.engines.baidu module. You can use it to perform image searches using Baidu's search capabilities.

from PicImageSearch.engines.baidu import BaiduEngine

# Initialize the engine
engine = BaiduEngine()

# Perform a search (example usage)
# results = await engine.search(image_url='...')

The google_lens model in PicImageSearch allows you to perform visual searches using Google Lens. This model can identify objects, text, and products within an image by leveraging Google's visual recognition capabilities.

from picimagesearch.model import google_lens

# Example usage (requires appropriate setup for the model)
results = google_lens.search(image_path_or_url)

The TraceMoe engine is part of the PicImageSearch.engines module. It allows you to perform image searches using the TraceMoe service. To use it, you should import the TraceMoe class from the PicImageSearch.engines.tracemoe module.

from PicImageSearch.engines.tracemoe import TraceMoe

# Initialize the engine
trace_moe = TraceMoe()

# Perform a search (example usage depends on the engine's API)
# results = await trace_moe.search(image_url=...)