Pinned Repositories
3dEngineOpenGL
This is a 3d engine written from scratch in my last semester on the university (Spring 2009)
6502
Emulator written in c# of MOS 6502. Can run microsoft basic 1977
BadAssbasSSynth
Arduino based hardware synth project
brakeza3d
Brakeza3D is a OpenSource Engine3D for old school lovers
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
cherrypi-v3s
Cherry PI Based On Allwinner V3S Chip
demoscene
Old school demoscene effects in SDL 2.0
esp32-bt2ps2
Use a Bluetooth or BLE keyboard with your machine with a PS/2 port
isometrico
This project is a concept of isometric engine. Its written in C++ with allegro 4 for graphics lib ( I wanted it to work in ms-dos ;) ).
js303
A fully functional TB-303 clone written in JavaScript using the Web Audio API
alexkid77's Repositories
alexkid77/3dEngineOpenGL
This is a 3d engine written from scratch in my last semester on the university (Spring 2009)
alexkid77/6502
Emulator written in c# of MOS 6502. Can run microsoft basic 1977
alexkid77/demoscene
Old school demoscene effects in SDL 2.0
alexkid77/esp32-bt2ps2
Use a Bluetooth or BLE keyboard with your machine with a PS/2 port
alexkid77/isometrico
This project is a concept of isometric engine. Its written in C++ with allegro 4 for graphics lib ( I wanted it to work in ms-dos ;) ).
alexkid77/js303
A fully functional TB-303 clone written in JavaScript using the Web Audio API
alexkid77/BadAssbasSSynth
Arduino based hardware synth project
alexkid77/brakeza3d
Brakeza3D is a OpenSource Engine3D for old school lovers
alexkid77/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
alexkid77/cherrypi-v3s
Cherry PI Based On Allwinner V3S Chip
alexkid77/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera
This paper proposes a deep learning-based method to detect multiple people from a single overhead depth image with high precision. Our neural network, called DPDnet, is composed by two fully-convolutional encoder-decoder blocks built with residual layers. The main block takes a depth image as input and generates a pixel-wise confidence map, where each detected person in the image is represented by a Gaussian-like distribution, The refinement block combines the depth image and the output from the main block, to refine the confidence map. Both blocks are simultaneously trained end-to-end using depth images and ground truth head position labels. The paper provides a rigorous experimental comparison with some of the best methods of the state-of-the-art, being exhaustively evaluated in different publicly available datasets. DPDnet proves to outperform all the evaluated methods with statistically significant differences, and with accuracies that exceed 99%. The system was trained on one of the datasets (generated by the authors and available to the scientific community) and evaluated in the others without retraining, proving also to achieve high accuracy with varying datasets and experimental conditions. Additionally, we made a comparison of our proposal with other CNN-based alternatives that have been very recently proposed in the literature, obtaining again very high performance. Finally, the computational complexity of our proposal is shown to be independent of the number of users in the scene and runs in real time using conventional GPUs.
alexkid77/emu2413
A YM2413 emulator written in C.
alexkid77/esp32-snippets
Sample ESP32 snippets and code fragments
alexkid77/esp32s2-usb-hid-host-example
esp32S2 USB HID host example.
alexkid77/ESPTool
Created the Espressif ESPTool in native C#
alexkid77/f1c200s-dev-board
A custom development board for an soc
alexkid77/F1C200S_HDK
F1C200S PCB and SCH
alexkid77/mazeGenerator
depth first search maze generator
alexkid77/MobileFaceNet_TF
Tensorflow implementation for MobileFaceNet
alexkid77/Pi400RGB
Scart/VGA interface for Raspberry Pi 400
alexkid77/wsbe
The example code for the Windowing Systems by Example blog series
alexkid77/Zeromq4BorlandCplusplus
Template for borland C++ of ZeroMQ 4.3.4