在 macOS 上通过 Docker 使用 imgp
介绍
当我尝试在 macOS (M3) 上使用 imgp(一个用于 Python 图像处理的 CLI 工具)时,安装 imgp 失败,如下所示。
clang: warning: argument unused during compilation: '-msse4' [-Wunused-command-line-argument] src/libImaging/AlphaComposite.c:28:5: error: use of undeclared identifier '__m128i' __m128i mm_max_alpha = _mm_set1_epi32(255); ^ src/libImaging/AlphaComposite.c:29:5: error: use of undeclared identifier '__m128i' __m128i mm_max_alpha2 = _mm_set1_epi32(255 * 255); ^ src/libImaging/AlphaComposite.c:30:5: error: use of undeclared identifier '__m128i' __m128i mm_zero = _mm_setzero_si128(); ^ src/libImaging/AlphaComposite.c:31:5: error: use of undeclared identifier '__m128i' __m128i mm_half = _mm_set1_epi16(128); ^ src/libImaging/AlphaComposite.c:32:5: error: use of undeclared identifier '__m128i' __m128i mm_get_lo = _mm_set_epi8( ^ src/libImaging/AlphaComposite.c:34:5: error: use of undeclared identifier '__m128i' __m128i mm_get_hi = _mm_set_epi8( ^ src/libImaging/AlphaComposite.c:137:13: error: use of undeclared identifier '__m128i' __m128i mm_dst, mm_dst_lo, mm_dst_hi; ^ src/libImaging/AlphaComposite.c:138:13: error: use of undeclared identifier '__m128i' __m128i mm_src, mm_src_hi, mm_src_lo; ^ src/libImaging/AlphaComposite.c:139:13: error: use of undeclared identifier '__m128i' __m128i mm_dst_a, mm_src_a, mm_out_a, mm_blend; ^ src/libImaging/AlphaComposite.c:140:13: error: use of undeclared identifier '__m128i' __m128i mm_coef1, mm_coef2, mm_out_lo, mm_out_hi; ^ src/libImaging/AlphaComposite.c:143:13: error: use of undeclared identifier 'mm_dst' mm_dst = _mm_loadu_si128((__m128i *) &dst[x]); ^ src/libImaging/AlphaComposite.c:143:22: error: call to undeclared function '_mm_loadu_si128'; ISO C99 and later do not support implicit function declarations [-Wimplicit-function-declaration] mm_dst = _mm_loadu_si128((__m128i *) &dst[x]); ^ src/libImaging/AlphaComposite.c:143:48: error: expected expression mm_dst = _mm_loadu_si128((__m128i *) &dst[x]); ^ src/libImaging/AlphaComposite.c:143:39: error: use of undeclared identifier '__m128i' mm_dst = _mm_loadu_si128((__m128i *) &dst[x]); ^ src/libImaging/AlphaComposite.c:145:13: error: use of undeclared identifier 'mm_dst_lo' mm_dst_lo = _mm_unpacklo_epi8(mm_dst, mm_zero); ^ src/libImaging/AlphaComposite.c:145:25: error: call to undeclared function '_mm_unpacklo_epi8'; ISO C99 and later do not support implicit function declarations [-Wimplicit-function-declaration] mm_dst_lo = _mm_unpacklo_epi8(mm_dst, mm_zero); ^ src/libImaging/AlphaComposite.c:145:43: error: use of undeclared identifier 'mm_dst' mm_dst_lo = _mm_unpacklo_epi8(mm_dst, mm_zero); ^ src/libImaging/AlphaComposite.c:145:51: error: use of undeclared identifier 'mm_zero' mm_dst_lo = _mm_unpacklo_epi8(mm_dst, mm_zero); ^ src/libImaging/AlphaComposite.c:147:13: error: use of undeclared identifier 'mm_dst_hi' mm_dst_hi = _mm_unpackhi_epi8(mm_dst, mm_zero); ^ fatal error: too many errors emitted, stopping now [-ferror-limit=] 20 errors generated. error: command '/usr/bin/clang' failed with exit code 1 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for pillow-simd Failed to build pillow-simd ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (pillow-simd)
此错误是一个已知问题,如下所示。
https://github.com/uploadcare/pillow-simd/issues/43
解决方案
不支持在 macOS (M3) 上构建,因此我尝试使用 Docker 安装 imgp。下面介绍安装过程。
(1)启动docker容器
docker run-v $PWD:/work --rm --platform linux/amd64 -it python:3.12-slim /bin/bash
(2) 安装构建包
apt update apt install build-essential zlib1g-dev libjpeg-dev
(3) 安装imgp
pip install imgp
(4) 验证已安装的二进制文件
root@cc0fa40c9237:~# imgp usage: imgp [-h] [-x res] [-o deg] [-a] [-c] [-e] [-f] [-H] [-i] [-k] [-m] [-M res] [-n] [-N] [-O] [-P] [-q N] [-r] [-s byte] [-w] [-d] [PATH ...] Resize, rotate JPEG and PNG images. positional arguments: PATH source file or dir [default: current dir] options: -h, --help show this help message and exit -x res, --res res output resolution in HxV or percentage -o deg, --rotate deg rotate clockwise by angle (in degrees) -a, --adapt adapt to resolution by orientation [default: off] -c, --convert convert PNG to JPG format [default: off] -e, --eraseexif erase exif metadata [default: off] -f, --force force to exact specified resolution [default: off] -H, --hidden include hidden (dot) files [default: off] -i, --includeimgp re-process _IMGP files. * RISKY: refer to docs -k, --keep skip (honors -c or --pr) images matching specified H or V or --res=100 [default: off] -m, --mute operate silently [default: informative] -M res, --minres res min resolution in HxV or percentage of --res to resize -n, --enlarge enlarge smaller images [default: off] -N, --nearest use nearest neighbour interpolation for PNG [default: antialias] -O, --optimize optimize the output images [default: off] -P, --progressive save JPEG images as progressive [default: off] -q N, --quality N quality factor (N=1-95, JPEG only) [default: 75] -r, --recurse process non-symbolic dirs recursively [default: off] -s byte, --size byte minimum size to process an image [default: 1024] -w, --overwrite overwrite source images [default: off] -d, --debug enable debug logs [default: off] Version 2.9 Copyright © 2016-2023 Arun Prakash Jana <engineerarun@gmail.com> License: GPLv3 Webpage: https://github.com/jarun/imgp
笔记
$ uname -a Darwin weizen.local 23.4.0 Darwin Kernel Version 23.4.0: Wed Feb 21 21:45:48 PST 2024; root:xnu-10063.101.15~2/RELEASE_ARM64_T8122 arm64 $ docker -v Docker version 26.1.1, build 4cf5afa
以上是在 macOS 上通过 Docker 使用 imgp的详细内容。更多信息请关注PHP中文网其他相关文章!

热AI工具

Undresser.AI Undress
人工智能驱动的应用程序,用于创建逼真的裸体照片

AI Clothes Remover
用于从照片中去除衣服的在线人工智能工具。

Undress AI Tool
免费脱衣服图片

Clothoff.io
AI脱衣机

Video Face Swap
使用我们完全免费的人工智能换脸工具轻松在任何视频中换脸!

热门文章

热工具

记事本++7.3.1
好用且免费的代码编辑器

SublimeText3汉化版
中文版,非常好用

禅工作室 13.0.1
功能强大的PHP集成开发环境

Dreamweaver CS6
视觉化网页开发工具

SublimeText3 Mac版
神级代码编辑软件(SublimeText3)

Python更易学且易用,C 则更强大但复杂。1.Python语法简洁,适合初学者,动态类型和自动内存管理使其易用,但可能导致运行时错误。2.C 提供低级控制和高级特性,适合高性能应用,但学习门槛高,需手动管理内存和类型安全。

每天学习Python两个小时是否足够?这取决于你的目标和学习方法。1)制定清晰的学习计划,2)选择合适的学习资源和方法,3)动手实践和复习巩固,可以在这段时间内逐步掌握Python的基本知识和高级功能。

Python在开发效率上优于C ,但C 在执行性能上更高。1.Python的简洁语法和丰富库提高开发效率。2.C 的编译型特性和硬件控制提升执行性能。选择时需根据项目需求权衡开发速度与执行效率。

Python和C 各有优势,选择应基于项目需求。1)Python适合快速开发和数据处理,因其简洁语法和动态类型。2)C 适用于高性能和系统编程,因其静态类型和手动内存管理。

pythonlistsarepartofthestAndArdLibrary,herilearRaysarenot.listsarebuilt-In,多功能,和Rused ForStoringCollections,而EasaraySaraySaraySaraysaraySaraySaraysaraySaraysarrayModuleandleandleandlesscommonlyusedDduetolimitedFunctionalityFunctionalityFunctionality。

Python在自动化、脚本编写和任务管理中表现出色。1)自动化:通过标准库如os、shutil实现文件备份。2)脚本编写:使用psutil库监控系统资源。3)任务管理:利用schedule库调度任务。Python的易用性和丰富库支持使其在这些领域中成为首选工具。

Python在科学计算中的应用包括数据分析、机器学习、数值模拟和可视化。1.Numpy提供高效的多维数组和数学函数。2.SciPy扩展Numpy功能,提供优化和线性代数工具。3.Pandas用于数据处理和分析。4.Matplotlib用于生成各种图表和可视化结果。

Python在Web开发中的关键应用包括使用Django和Flask框架、API开发、数据分析与可视化、机器学习与AI、以及性能优化。1.Django和Flask框架:Django适合快速开发复杂应用,Flask适用于小型或高度自定义项目。2.API开发:使用Flask或DjangoRESTFramework构建RESTfulAPI。3.数据分析与可视化:利用Python处理数据并通过Web界面展示。4.机器学习与AI:Python用于构建智能Web应用。5.性能优化:通过异步编程、缓存和代码优
