Pinned Repositories
CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
enhance-image
Image augmentation for object detection, segmentation and classification
Image-registration
Registration for power equipment infrared and visible images
image_fusion
This study proposes a novel fusion framework based on cybernetics, referred to as FusionPID, that utilizes a proportional integral differential (PID) control system to fuse infrared and visible images.
image_fusion2
Implementation of the paper Learn to Search a Lightweight Architecture for Target-aware Infrared and Visible Image Fusion.
LabelConvert
XML to JSON, XML to TXT, JSON to XML, TXT to XML and label edit in computer vision
objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
yolov7-opencv-dnn-cpp
使用opencv部署yolov7和yolov5
yolov7-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序
yolov8
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
2410794333's Repositories
2410794333/CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
2410794333/enhance-image
Image augmentation for object detection, segmentation and classification
2410794333/Image-registration
Registration for power equipment infrared and visible images
2410794333/image_fusion
This study proposes a novel fusion framework based on cybernetics, referred to as FusionPID, that utilizes a proportional integral differential (PID) control system to fuse infrared and visible images.
2410794333/image_fusion2
Implementation of the paper Learn to Search a Lightweight Architecture for Target-aware Infrared and Visible Image Fusion.
2410794333/LabelConvert
XML to JSON, XML to TXT, JSON to XML, TXT to XML and label edit in computer vision
2410794333/objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
2410794333/yolov7-opencv-dnn-cpp
使用opencv部署yolov7和yolov5
2410794333/yolov7-opencv-onnxrun-cpp-py
分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序
2410794333/yolov8
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
2410794333/yolov8-opencv-onnxruntime-cpp
detection and instance segmentation of yolov8,use onnxruntime and opencv