import target:turbojpep,turbojpeg-static # 通过查找turbojpeg.h定位libjpeg-turbo的include文件夹位置 find_path(TURBOJPEG_INCLUDE_DIR...turbojpeg.h) set(TURBOJPEG_NAMES ${TURBOJPEG_NAMES} turbojpeg libturbojpeg) find_library(TURBOJPEG_LIBRARY...DEFAULT_MSG TURBOJPEG_LIBRARY TURBOJPEG_INCLUDE_DIR) if(TURBOJPEG_FOUND) # for compatility of find_dependency...,则创建turbojpeg-static target if(TURBOJPEG_LIBRARY_STATIC) # Create imported target turbojpeg-static...find_package(TurboJPEG REQUIRED) ## 优先使用静态库 if(TARGET turbojpeg-static) set (_turbojpeg_target "turbojpeg-static
opencv和PIL都是很常见的图像处理库了,就不介绍了,主要介绍后面三个: turbojpeg:libjpeg-turbo的python包装器,用于jpeg图像的解码和编码。...基本用法: import cv2 from turbojpeg import TurboJPEG, TJPF_GRAY, TJSAMP_GRAY, TJFLAG_PROGRESSIVE # using...default library installation jpeg = TurboJPEG() # decoding input.jpg to BGR array in_file = open('input.jpg...import TurboJPEG os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3" class ImageLoader: extensions: tuple...__init__(path, **kwargs) self.jpeg_reader = TurboJPEG() # create TurboJPEG object for image
[ 37%] Building C object CMakeFiles/turbojpeg.dir/turbojpeg.c.obj turbojpeg.c [ 37%] Building C object...CMakeFiles/turbojpeg.dir/transupp.c.obj transupp.c [ 37%] Building C object CMakeFiles/turbojpeg.dir...jdatasrc-tj.c Linking C shared library turbojpeg.dll 正在创建库 turbojpeg.lib 和对象 turbojpeg.exp [ 38%].../turbojpeg-static.dir/jdtrans.c.obj jdtrans.c [ 55%] Building C object CMakeFiles/turbojpeg-static.dir.../turbojpeg-static.dir/turbojpeg.c.obj turbojpeg.c [ 63%] Building C object CMakeFiles/turbojpeg-static.dir
[ 37%] Building C object CMakeFiles/turbojpeg.dir/turbojpeg.c.obj [ 37%] Building C object CMakeFiles.../turbojpeg.dir/transupp.c.obj [ 37%] Building C object CMakeFiles/turbojpeg.dir/jdatadst-tj.c.obj...CMakeFiles/turbojpeg-static.dir/jcapistd.c.obj [ 42%] Building C object CMakeFiles/turbojpeg-static.dir...C object CMakeFiles/turbojpeg-static.dir/jutils.c.obj [ 60%] Building C object CMakeFiles/turbojpeg-static.dir.../turbojpeg-static.dir/turbojpeg.c.obj [ 63%] Building C object CMakeFiles/turbojpeg-static.dir/transupp.c.obj
对于经常会用到的 jpeg库turbojpeg,可以用find_package(JPEG REQUIRED)来查找。
support enabled (WITH_ARITH_DEC = 1) -- Arithmetic encoding support enabled (WITH_ARITH_ENC = 1) -- TurboJPEG...API library enabled (WITH_TURBOJPEG = 1) -- TurboJPEG Java wrapper disabled (WITH_JAVA = 0) -- In-memory...Built target strtest [ 22%] Built target rdjpgcom [ 80%] Built target jpeg-static [ 84%] Built target turbojpeg-static...1%] Built target strtest [ 3%] Built target wrjpgcom [ 19%] Built target simd [ 52%] Built target turbojpeg-static
拷贝头文件 : 将上述 jconfig.h , jerror.h , jmorecfg.h , jpeglib.h , turbojpeg.h 头文件拷贝到 src/main/cpp/include 目录中...ANDROID_ABI}") target_link_libraries( # 链接动态库 native-lib # 查找到的 libturbojpeg 静态库 turbojpeg
Install TurboJPEG Download from http://sourceforge.net/projects/libjpeg-turbo/files, extract it to c:...\libjpeg-turbo64 or depends/libjpeg-turbo64, or anywhere as specified by the environment variable TurboJPEG_ROOT...libusb, GLFW brew update brew install libusb brew tap homebrew/versions brew install glfw3 Install TurboJPEG...Ubuntu 14.04 only) sudo dpkg -i debs/libusb*deb (Other) sudo apt-get install libusb-1.0-0-dev Install TurboJPEG
的训练速度做了大幅的优化,采用分布式的训练框架,支持多种 IO 后端文件读取(Disk, Ceph, Memcached 等),多种 Video 的解码方式(OpenCV, PyAV, Decord 等),TurboJPEG...此外,还支持 TurboJPEG 的图片解码方式,加速视频帧的读取。 ?
target_link_libraries( native-lib glm turbojpeg...ADD_SUBDIRECTORY(src/main/cpp/turbojpeg) ADD_SUBDIRECTORY(src/main/cpp/glm) 添加头文件 在使用的时候有一个容易忽略的步骤就是添加头文件
数据遍历顺序控制 libffcv 作者基于Python C扩展写了一些必要的函数,包括如memcpy,fileread,imdecode,resize 其中resize使用的是Opencv来做,而图片解码采用的是turbojpeg
图片解码 PyTorch中默认使用的是Pillow进行图像的解码,但是其效率要比Opencv差一些,如果图片全部是JPEG格式,可以考虑使用TurboJpeg库解码。具体速度对比如下图所示: ?
提取颜色数据可以使用libjpeg-turbo库(配合Python的turbojpeg库)。...6、终脚本如下(需要提前安装libjpeg-turbo库): from turbojpeg import TurboJPEG from PIL import Image jpeg = TurboJPEG
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