This article describes how to create a Python‑based face‑matching tool that crawls celebrity photos, stores them in a MySQL database, and uses Baidu's AI face‑compare API to identify a person from an uploaded image, presenting the matching results with similarity scores.
This article demonstrates how to use the Java metadata‑extractor library to read EXIF GPS information from photos, convert the coordinates to a human‑readable address via Baidu's reverse‑geocoding API, and provides a complete runnable example with Maven dependency and utility code.
This tutorial explains how to convert a physical address into latitude‑longitude coordinates using the Baidu Maps Geocoding API and then visualize the point on a map with Python's pyecharts library, including code snippets and step‑by‑step instructions.
Learn step‑by‑step how to use Baidu’s OCR service to extract text from images and employ the Pillow library to convert image formats in Python, including code snippets, API parameter details, and practical tips for handling local and online files.
This article details a step‑by‑step tutorial for creating a celebrity face‑matching application that crawls star information, stores images and metadata in a MySQL database, and uses Baidu's facial recognition API to compare uploaded photos, outputting similarity scores and matched celebrity details.
This guide explains how to transform user IP addresses into geographic coordinates by leveraging Baidu's IP APIs, Logstash's built‑in geoip filter, and MaxMind's GeoIP Java library, including code samples, response formats, and practical usage considerations.
