Vojtěch Vrba's starred repositories
USB_C_Industrial_Camera_FPGA_USB3
Source and Documentation files for USB C Industrial Camera Project, This repo contains PCB boards, FPGA , Camera and USB along with FPGA Firmware and USB Controller Firmware source.
rpi-gpio-dma-demo
Performance writing to GPIO with CPU and DMA on the Raspberry Pi
rpi-opengl-without-x
Raspberry Pi OpenGL ES 2 without an X server (using EGL)
Raspberry-Pi-DMA-Example
Simplest example of copying memory from one region to another using DMA in userland
intel_nuc_led
Intel NUC7i[x]BN and NUC6CAY LED Control for Linux
enable_arm_pmu
Enable user-mode access to ARMv7/Linux performance counters
raspi4_freertos
FreeRTOS UART sample porting to Raspberry Pi 4B.
ESP32_FTPClient
An FTP-Client for the ESP32
FTPClientServer
Simple FTP Server and Client for the esp8266/esp32 with LittleFS and SPIFFS support
enable_arm_pmu
Enable user-mode access to ARMv7/Linux performance counters
Vision-FPGA-SoM
tinyVision.ai Vision & Sensor FPGA System on Module
metavision_driver
driver for event based cameras using the MetaVision SDK (Prophesee and CenturyArk)
ndk-app-minimal
Minimal Application based on Network Development Kit (NDK) for FPGA cards
letsencrypt-wedos
Skripty pro validaci přes DNS záznamy vedené u Wedosu umožňující wildcard certifikáty
remember-me
A handy tool for memory problems in Python
cordic-algorithm-python
Descriptive implementation of CORDIC algorithms (based on Ray Andraka's paper) in python using Jupyter notebook
Wavelet-Analysis-Image-Compression-Using-Discrete-Haar-Wavelet-Transform.
In this project, we will present an example of an orthonormal system on [0,1) known as the Haar system. The Haar basis is the simplest and historically the first example of an orthonormal wavelet basis. Many of its properties stand in sharp contrast to the corresponding properties of the trigonometric basis (Fourier Basis). For example, (1) The Haar basis functions are supported on small subintervals of [0,1), whereas the Fourier basis functions are nonzero on all of [0,1), (2) The Haar basis functions are step functions with jump discontinuities, whereas the Fourier basis functions are C-infinity on [0,1), (3) The Haar basis replaces the notion of frequency (represented by the index n in the Fourier basis) with the dual notions of scale and location (separately indexed by j and k), (4) the Haar basis provides a very efficient representation of functions that consist of smooth, slowly varying segments punctuated by sharp peaks and discontinuities, whereas the Fourier basis best represents functions that exhibit long term oscillatory behavior.
event_camera_msgs
ROS1 and ROS2 messages for event based image sensors
color-edge-det-qft
Edge detection in color images using sobel filtering and Fourier transform for Quaternions.