ingbeeedd's Stars
zhiqwang/yolort
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
WongKinYiu/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
NVIDIA/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
ndb796/YOLO-Datasets
lars76/kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
lukasruff/Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Kazuhito00/Tokyo2020-Pictogram-using-MediaPipe
MediaPipeで姿勢推定を行い、Tokyo2020オリンピック風のピクトグラムを表示するデモ
Tencent/Forward
A library for high performance deep learning inference on NVIDIA GPUs.
Kratos-The-Rover/opencvDatasetModifier
Creating large datasets from a small pool of images
AllentDan/LibtorchSegmentation
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
coderjojo/creative-profile-readme
A Collection of GitHub Profiles with awesome readme
AnbuKumar-maker/AI-on-Jetson-Nano
I have created a series of programs using NVIDIA Jetson Nano, Pi Camera and Logitech Web Camera. I installed OpenCV version 4 along with Python 3 to create these sample programs
eandert/Jetson_Nano_Camera_Vehicle_Tracker
This repository contains a YoloV4/Darknet based image classifier coded to run onboard the Nvidia Jetson Nano platform at approximately 10 FPS. The code includes a frame by frame tracker that keeps IDs of vehicles mostly constant. It display the output to the web browser via flask for debugging/demo.
zhangjinsong3/plate_metric.libtorch
A sample for libtorch c++ API,use opencv Mat or GpuMat as input.
YoungjaeDev/PaDiM-EfficientNet
PaDiM based EfficientNet and improve the inference time
dk-liang/pytorch2libtorch
A demo for using C++ to inference the pytorch model
zerollzeng/tiny-tensorrt
Deploy your model with TensorRT quickly.
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
gasparian/multiclass-semantic-segmentation
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
qubvel/ttach
Image Test Time Augmentation with PyTorch!
Diyago/ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
nathanhubens/TTA-Keras
The goal of this repo is to show how to perform TTA, a simple technique to improve the predictions of your model, with Keras
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
yeashen/raspberry-stm32
Develope stm32 on the raspberry pi 3
Naurislv/NVidia-Jetson-TX2-Install-Guide-Lines
Preparing Machine Learning/Computer Vision environment for NVidia Jetson TX2
trsvchn/coco-viewer
Minimalistic COCO Dataset Viewer in Tkinter
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.