Python mainly uses two major libraries Pillow and OpenCV for image processing. Pillow is suitable for simple image processing, such as adding watermarks, and the code is simple and easy to use; OpenCV is suitable for complex image processing and computer vision, such as edge detection, with superior performance but attention to memory management is required.
Image processing in Python? This is an interesting and practical topic! Python has powerful tools and libraries in the field of image processing, which can help us easily implement various complex image processing tasks.
When using Python for image processing, you must first know that the most famous Python image processing library are Pillow and OpenCV. Pillow is better suited for simple image processing, while OpenCV excels in computer vision and complex image processing. I personally prefer using Pillow because it is fast to get started and is suitable for implementing some basic image processing tasks quickly.
For example, I was working on a project recently and needed to watermark some pictures. Using Pillow to do this is a piece of cake. Let's see a piece of code:
from PIL import Image, ImageDraw, ImageFont def add_watermark(image_path, watermark_text, output_path): # Open image img = Image.open(image_path).convert("RGBA") # Create a transparent layer txt = Image.new('RGBA', img.size, (255,255,255,0)) # Get the drawing object fnt = ImageFont.truetype('arial.ttf', 40) d = ImageDraw.Draw(txt) # Add watermark text d.text((10,10), watermark_text, font=fnt, fill=(255,255,255,128)) # Merge the image and watermark out = Image.alpha_composite(img, txt) # Save the result out.convert("RGB").save(output_path) # Use example add_watermark('input.jpg', 'My Watermark', 'output.jpg')
This code allows me to watermark the image in a few minutes, and the effect is pretty good. Pillow's API is very intuitive and works like drawing.
But to be honest, although Pillow is easy to use, it may encounter performance bottlenecks when processing large-scale image data. At this time, OpenCV became my savior. OpenCV is not only fast, but also provides rich image processing algorithms. For example, when I was working on an image recognition project, I used OpenCV to perform edge detection, and the effect was very good:
import cv2 import numpy as np def edge_detection(image_path, output_path): # Read image img = cv2.imread(image_path, 0) # Use Canny algorithm for edge detection edges = cv2.Canny(img, 100, 200) # Save the result cv2.imwrite(output_path, edges) # Use example edge_detection('input.jpg', 'output_edges.jpg')
OpenCV's Canny algorithm allows me to quickly find edges in images, which is very suitable for some application scenarios that require real-time processing. However, when using OpenCV, I found that it has high memory management requirements. If you deal with large images, you are prone to memory overflow problems. At this time, it is necessary to optimize the code, such as using smaller data types, or processing images in chunks.
In actual projects, I often encounter some common pitfalls. For example, when using Pillow, if you don't pay attention to the pattern conversion of the picture (such as from RGB to RGBA), it may cause some unexpected problems. My advice is to always clarify the pattern of the image when working on the image and convert it if needed.
In addition, performance optimization is also a big topic. When processing large numbers of images, I would consider using multi-threading or multi-processing to process in parallel, which can significantly increase processing speed. Another tip is to try to avoid frequent opening and closing files in loops, which will greatly reduce performance.
In general, image processing using Python is both simple and powerful. Whether it is Pillow or OpenCV, it can meet different levels of needs. The key is to choose the right tools according to actual conditions and continuously optimize and improve your own code in practice. I hope these sharing can help everyone and wish your image processing project a smooth progress!
The above is the detailed content of How to use Python for image processing?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

1. First, ensure that the device network is stable and has sufficient storage space; 2. Download it through the official download address [adid]fbd7939d674997cdb4692d34de8633c4[/adid]; 3. Complete the installation according to the device prompts, and the official channel is safe and reliable; 4. After the installation is completed, you can experience professional trading services comparable to HTX and Ouyi platforms; the new version 5.0.5 feature highlights include: 1. Optimize the user interface, and the operation is more intuitive and convenient; 2. Improve transaction performance and reduce delays and slippages; 3. Enhance security protection and adopt advanced encryption technology; 4. Add a variety of new technical analysis chart tools; pay attention to: 1. Properly keep the account password to avoid logging in on public devices; 2.

First, choose a reputable digital asset platform. 1. Recommend mainstream platforms such as Binance, Ouyi, Huobi, Damen Exchange; 2. Visit the official website and click "Register", use your email or mobile phone number and set a high-strength password; 3. Complete email or mobile phone verification code verification; 4. After logging in, perform identity verification (KYC), submit identity proof documents and complete facial recognition; 5. Enable two-factor identity verification (2FA), set an independent fund password, and regularly check the login record to ensure the security of the account, and finally successfully open and manage the USDT virtual currency account.

Ouyi APP is a professional digital asset service platform dedicated to providing global users with a safe, stable and efficient trading experience. This article will introduce in detail the download method and core functions of its official version v6.129.0 to help users get started quickly. This version has been fully upgraded in terms of user experience, transaction performance and security, aiming to meet the diverse needs of users at different levels, allowing users to easily manage and trade their digital assets.

First, choose a reputable trading platform such as Binance, Ouyi, Huobi or Damen Exchange; 1. Register an account and set a strong password; 2. Complete identity verification (KYC) and submit real documents; 3. Select the appropriate merchant to purchase USDT and complete payment through C2C transactions; 4. Enable two-factor identity verification, set a capital password and regularly check account activities to ensure security. The entire process needs to be operated on the official platform to prevent phishing, and finally complete the purchase and security management of USDT.

The Ouyi platform provides safe and convenient digital asset services, and users can complete downloads, registrations and certifications through official channels. 1. Obtain the application through official websites such as HTX or Binance, and enter the official address to download the corresponding version; 2. Select Apple or Android version according to the device, ignore the system security reminder and complete the installation; 3. Register with email or mobile phone number, set a strong password and enter the verification code to complete the verification; 4. After logging in, enter the personal center for real-name authentication, select the authentication level, upload the ID card and complete facial recognition; 5. After passing the review, you can use the core functions of the platform, including diversified digital asset trading, intuitive trading interface, multiple security protection and all-weather customer service support, and fully start the journey of digital asset management.

This article introduces the top virtual currency trading platforms and their core features. 1. Binance provides a wide range of trading pairs, high liquidity, high security, friendly interface and rich derivative trading options; 2. Ouyi is known for its powerful contract trading functions, fiat currency deposit and withdrawal support, intuitive interface, new project display activities and complete customer service; 3. Sesame Open supports thousands of currency trading, low transaction fees, innovative financial products, stable operations and good community interaction; 4. Huobi has a huge user base, rich trading tools, global layout, diversified income services and strong risk control compliance capabilities; 5. KuCoin is famous for discovering high-growth tokens, providing a wide range of trading pairs, simple interfaces, diversified income channels and extensive industry cooperation; 6. Krak

The top three virtual currency trading platforms are Binance, OKX and Huobi. 1. Binance provides more than 350 digital currency transactions, low fees, high liquidity, supports P2P transactions and multiple payment methods, and adopts strict security measures to ensure the security of funds; 2. OKX has a large daily transaction volume, supports more than 300 cryptocurrencies, provides a variety of trading tools such as spot, contracts, options, etc., has Web3 storage functions, has a leading risk control system and high-intensity API, and implements a novice protection plan and reserve fund proof query mechanism to improve transparency; 3. Huobi is a ten-year-old exchange that serves global users, focuses on security, adopts cold and cold storage separation, multiple signatures and two-step verification measures, and provides

Ouyi Exchange is a professional digital asset service application for global users, providing users with a safe, stable and feature-rich trading experience. Its official Apple version application is designed with smooth operation, aiming to help users easily manage and trade various digital assets and keep abreast of market trends at any time. Through the official website download and installation, users can enjoy the full range of services provided by the platform.
