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csharp_deploy_yolov8

Deploying Yolov8-det, Yolov8-pose, Yolov8-cls, and Yolov8-seg models based on C # programming language.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

defect-detection-system-ml-model

Thesis project

defect_detection_matlab

Automated Defect Detection Project, implemented by Matlab

dfr

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

dotnetbaslerandhalcon

在C# .NET环境下，使用Basler灰度相机采集图片并用Halcon显示的例程。

drowsiness-detection

halcon_licenses

Halcon licenses activation

halcon_onnx_deploy

Deploy onnx model with Halcon and C++

labelme2yolov8-segment

将labelme数据标注格式转换为YoloV8语义分割数据集，并可自动划分训练集和验证集

openvino-csharp-api-samples

paddlexcsharp

pyqt5-yolov5

YOLOv5检测界面-PyQt5实现

pytorch-pretrained-gans

Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

semisupervisedpytorchgan

A semi supervised GAN for image classification implemented in Pytorch

smart-monitor-an-ai-powered-iot-monitoring-system-for-small-medium-scale-premises

视频分析

surfacedefectdetection-using-machine-vision

ultralytics

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

usc-ame-505-id3-intelligent-defect-detection-system

The project was a part of the AME 505 course at USC. the objective of the project is to create an application to defect steel surface defects using supervised and unsupervised learning methods. The team comprises of: Aditi Bhagwat, Bharat Deshkulkarni, Jaineel Desai, Kaitlyn Holmstrom, Omey Manyar and Shahwaz Khan.

yolou

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、TensorRT、NCNN、Tengine、OpenVINO

yolov5-5.x-annotations

一个基于yolov5-5.0的中文注释版本！

yolov5-gradcam

Visualizing Yolov5's layers using GradCam

yolov5_research

improvement research based on yolov5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C