lp6m
/ binary_mnist.cpp
Created May 5, 2020
View binary_mnist.cpp
| #include <bits/stdc++.h> | |
| using namespace std; | |
| float binarize(float x){ | |
| float xx = 0.5f * x + 0.5f; | |
| xx = min(max(xx, 0.0f), 1.0f); | |
| return (xx >= 0.5f) ? 1.0f : -1.0f; | |
| } |
View dmesg.txt
| [ 80.692879] fpga_manager fpga0: writing fpga.bin to Xilinx ZynqMP FPGA Manager | |
| [ 81.067722] ------------[ cut here ]------------ | |
| [ 81.067749] WARNING: CPU: 3 PID: 3493 at /kernel-source//drivers/clk/clk.c:622 clk_core_disable+0x88/0x90 | |
| [ 81.067752] Modules linked in: fclkcfg(O) mali(O) uio_pdrv_genirq | |
| [ 81.067770] CPU: 3 PID: 3493 Comm: cp Tainted: G O 4.14.0-xilinx-v2018.2 #1 | |
| [ 81.067772] Hardware name: ZynqMP ZCU100 RevC (DT) | |
| [ 81.067774] task: ffffffc06d294180 task.stack: ffffff800e670000 | |
| [ 81.067779] PC is at clk_core_disable+0x88/0x90 | |
| [ 81.067784] LR is at clk_core_disable_lock+0x20/0x38 | |
| [ 81.067786] pc : [<ffffff80084b47c8>] lr : [<ffffff80084b47f0>] pstate: 800001c5 |
lp6m
/ dpu_system.dts
Created Nov 20, 2019
View dpu_system.dts
| /dts-v1/; | |
| / { | |
| compatible = "xlnx,zynqmp-zcu100-revC", "xlnx,zynqmp-zcu100", "xlnx,zynqmp"; | |
| #address-cells = <0x2>; | |
| #size-cells = <0x2>; | |
| model = "ZynqMP ZCU100 RevC"; | |
| cpus { | |
| #address-cells = <0x1>; |
View petalinux-config --get-hw-descriptionでDPU-Integrationの回路を読み込ませ、system-user.dtsiにikwzmさんのデバイスツリーで埋め込まれているシンボル情報を埋め込んだものです。DPUとUSBカメラの同時使用ができます。
| /dts-v1/; | |
| / { | |
| compatible = "xlnx,zynqmp-zcu100-revC", "xlnx,zynqmp-zcu100", "xlnx,zynqmp"; | |
| #address-cells = <0x2>; | |
| #size-cells = <0x2>; | |
| model = "ZynqMP ZCU100 RevC"; | |
| cpus { | |
| #address-cells = <0x1>; |
lp6m
/ generate_sample.R
Created Nov 7, 2019
Generate bayesian network sample data from learned network structure on R
View generate_sample.R
| #sudo apt install r-base-core #the latest version will not be installed by this command | |
| #install.packages("bnlearn", dependencies = TRUE) | |
| library(bnlearn) | |
| data(alarm) | |
| res = read.bif("./alarm.bif") #http://www.bnlearn.com/bnrepository/discrete-medium.html#alarm | |
| sim = rbn(res, 500, alarm) | |
| write.csv(sim, "./alarm.csv") |
View bdeu_score.cpp
| /*example dataset | |
| 4 3 | |
| A B C D | |
| A B | |
| B C | |
| D C | |
| 10 | |
| 1 1 0 1 | |
| 0 2 1 1 | |
| 2 1 0 0 |
View build-ubuntu18.04-rootfs.sh
| #This shell script refers this tip : https://qiita.com/ikwzm/items/be06b07e26cbf05fec2b | |
| #rootfs which this script generates is compatible for v2019.1 of https://github.com/ikwzm/ZynqMP-FPGA-Linux | |
| #### Setup APT | |
| distro=bionic | |
| export LANG=C | |
| /debootstrap/debootstrap --second-stage |
View dma.h
| #include <stdio.h> | |
| #include <stdint.h> | |
| #include <stdlib.h> | |
| #include <unistd.h> | |
| #include <fcntl.h> | |
| #include <string.h> | |
| #include <sys/types.h> | |
| #include <sys/mman.h> | |
| #define DMA_INTAKE_DMACR (0x0000) |
View hog.cpp
| void hog(cv::Mat img, double *dst){ | |
| const int s_row = 32;//img.rows; | |
| const int s_col = 64;//img.cols; | |
| const int c_row = 12; | |
| const int c_col = 12; | |
| const int b_row = 2; | |
| const int b_col = 2; | |
| int n_cells_row = s_row / c_row; // number of cells along row-axis //2 | |
| int n_cells_col = s_col / c_col; // number of cells along col-axis //5 | |
| const int orientations = 8; |
View gist:9a492fbae3a288716d3ed6dd64567772
| void hog(cv::Mat img, double *dst){ | |
| const int s_row = 32;//img.rows; | |
| const int s_col = 64;//img.cols; | |
| const int c_row = 12; | |
| const int c_col = 12; | |
| const int b_row = 2; | |
| const int b_col = 2; | |
| int n_cells_row = s_row / c_row; // number of cells along row-axis //2 | |
| int n_cells_col = s_col / c_col; // number of cells along col-axis //5 | |
| const int orientations = 8; |
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