u011747505的专栏

进入到代码所在目录下cd Vitis-Tutorials-master/Machine_Learning/Design_Tutorials/02-MNIST_classification_tf/files启动GPU-dockersource ./start_gpu_docker.sh启动成功依次执行如下命令，设置环境变量，训练，冻结参数，评估，量化，量化评估，编译，生成目标平台可执行文件source 0_setenv.shsource 1_train.shsource

前提环境：开发板上电后，JTAG模式启动，SD卡已烧写系统文件，JTAG 和UART已连接主机首先 下载驱动Linux_3.x.x_4.x.x_VCP_Driver_Source.zip，网址https://www.silabs.com/developers/usb-to-uart-bridge-vcp-drivers编译安装makecp cp210x.ko /lib/modules/<kernel-version>/kernel/drivers/usb/serialin.

A=uint16(double(A)/4294967295*65535);例子：A=imread('20180731tif.tif');A=uint16(double(A)/4294967295*65535);thresh = graythresh(A); %自动确定二值化阈值BW1 = imbinarize(A,thresh); %对图像二值化n=In...

软件工程实验代码评审与性能优化配置

[root@s13-dal9 mariadb]# /usr/local/mariadb/columnstore/bin/post-install The next step is: /usr/local/mariadb/columnstore/bin/postConfigure [root@s13-dal9 mariadb]# /usr/local/mariadb/columnstore/bin/