Andrews Cordolino Sobral's repositories
simple_vehicle_counting
Vehicle Detection, Tracking and Counting
java_motion_detection
Motion Detection with Java + OpenCV + Webcam
model_as_a_service
Machine Learning Model as a Service
pytorch2keras
PyTorch to Keras model convertor
Vehicle-And-Pedestrian-Detection-Using-Haar-Cascades
Real Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier
AutoCarJetsonNano
PyTorch Python Neural Network Autonomous 1/10 Car for Nvidia Jetson Nano
cmake_templates
Concise CMake templates for creating C++ libraries or executables.
jetson-gpio
A Python library that enables the use of Jetson's GPIOs
jetson_stats
Basic scripts and function to improve the performance in your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1, TK1]
NVIDIA_Jetson_TX2_Python
Python code for NVIDIA Jetson TX2
buildLibrealsense2TX
Build librealsense 2.0 library on the NVIDIA Jetson TX Development kit. Intel RealSense D400 series cameras.
gpu-sentry
Flask-based package for monitoring utilisation of nVidia GPUs.
lbp-library
LBP Library - A Collection of LBP algorithms for background subtraction in videos.
libtorch-yolov3
A Libtorch implementation of the YOLO v3 object detection algorithm
micromlgen
Generate C code for microcontrollers from Python's sklearn classifiers
opencv-cpp-for-xeus-cling
make OpenCV C++ for Xeus-Cling Jupyter more easy use
openrefine-docker
OpenRefine is a free, open source power tool for working with messy data and improving it. This repository contains Dockerbuild files for automated builds.
pybind11_opencv_numpy
Implementation of cv::Mat conversion to numpy.array for pybind11
pytorch-segnet
SegNet implementation in Pytorch framework
SassySpecter
AI Bot for StarCraft: Brood War and StarCraft II
vehicle_counting_tensorflow
"MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
vscode-binder
VS Code on Binder
wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch