cdl-cdl-cdl's repositories
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Halcon_licenses
Halcon licenses activation
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
Csharp_deploy_Yolov8
Deploying Yolov8-det, Yolov8-pose, Yolov8-cls, and Yolov8-seg models based on C # programming language.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
DFR
Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
PyQt5-YOLOv5
YOLOv5检测界面-PyQt5实现
yolov5_research
improvement research based on yolov5,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
halcon_onnx_deploy
Deploy onnx model with Halcon and C++
yolov5-gradcam
Visualizing Yolov5's layers using GradCam
yolov5-5.x-annotations
一个基于yolov5-5.0的中文注释版本！
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
pytorch-pretrained-gans
Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more
SemiSupervisedPytorchGAN
A semi supervised GAN for image classification implemented in Pytorch
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.
Defect-Detection-System-ML-model
Thesis project
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。
Defect_Detection_MatLab
Automated Defect Detection Project, implemented by Matlab