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charterscruz's Projects

bit_cd icon bit_cd

Fork of Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

car_detection icon car_detection

Contains images for training and testing car detector in aerial images. These images were obtained in a gazebo simulator and therefore are not photo-realistic. the model that was used was yolo v3, in particular the repository: https://github.com/AntonMu/TrainYourOwnYOLO

cft_otb icon cft_otb

Maritime vessel tracking from airborne images

detectnet_deploy icon detectnet_deploy

This repository contains the parameters that were used for the training of the network and also the parameters used to deploy it

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

keras-yolo3 icon keras-yolo3

Training and Detecting Objects with YOLO3 (used for FOD detection on almeida's dissertation)

labelling_utils icon labelling_utils

This repository contains a scripts used to transform, get information, etc from labelling file.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

r2home icon r2home

The goal of the project is to design a system with a size of a tube about 40cm long by 7cm in diameter, which can be released in free fall from almost anywhere, and will automatically deploy a parachute canopy and steer it to a precise GPS point.

radio_configs icon radio_configs

Contains several configuration files for Baofeng UV-5R radios

rosettadrone icon rosettadrone

The Rosetta Drone 2 Project. Enable Mavlink and H.264 on DJI drones.

yolov3 icon yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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