keaneflynn Goto Github PK

fishworkupscale

Using photogrammetry with object detection for improving fisheries monitoring methods

grad778-f22-w08-cli

repo for GRAD778 github module

imageaugmentation_yolo

image augmentation for yolo formatted images

jetsonxaviernx_opencv

OpenCV Build for Jetson Xavier NX and trial script to test frames per second

lotic

LOTIC is an underwater camera/computer system designed for in-situ fish migration monitoring. It is currently configured to run on RasPi but will be adjusted for future use to use Nvidia products with YOLO neural networks

loticv2

LOTIC machine learning code made for use with Nvidia Xavier NX and YOLO object detection models

loticv3

updated LOTIC repository leveraging YOLOv8 with pytorch & ultrlytics

neuralnet_fromscratch

making a neural network from scratch with numpy

neuralnetworks

nres746-finalproject

Final Project Github Repository

razerblade14_opencvbuild

CUDA: 11.4 CUDNN:8.4.2 GPU: 3080 UBUNTU: 21.10 OpenCV: 4.5.3 GCC/++: 10

srf-2018-code

srf-vidsync

All code relevant to how our VidSync data has been extrapolated for SRF 2019

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

vidsync-methods

Senior Thesis

yolo-measureobjects

combining Yolov4 object detection with intel realsense cameras to measure the width and height of object within bounding boxes