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Implementation of some Image processing techniques using CUDA in C++, in order to learn the basics and more
Monocular Visual odometry pipeline using C++, CUDA and OpenCV on the KITTI odometry dataset.
Sobel算子做边缘检测的OPENCV包、CPU实现和CUDA实现及比较以及CUDA优化
Implemented Sobel Edge Detection using CUDA and OpenCV in a High-Performance Computing environment.
A faster implementation of OpenCV-CUDA that uses OpenCV objects, and more!
The repository supports TensorRT, QNN platform inference, 2D obstacle detection yolo series (yolov5-yolo11), 3D obstacle detection BEV series (CNN & Transformer), semantic segmentation and so on.
使用Nanodet+YoloV8-Pose实现指针仪表的实时检测、高精度读数识别（借助ncnn框架）
python implementation of normalized metal artifact reduction
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement 💥💥💥
Examples of CUDA implementations by Cutlass CuTe
A self-learning tutorail for CUDA High Performance Programing.
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
[TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
A dataset for tooth structured instance segmentation of dental panoramic X-ray.
Code for ACM MobiCom 2024 paper "FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices"
Codes for SAMF: Small-Area-Aeare Multi-Focus Image Fusion for Object Detection (ICASSP 2024 Oral)
Record the experience with image engeering. 记录和图像度过的这段时光。
Traditional image processing algorithms implemented by CUDA.
An acceleration library that supports arbitrary bit-width combinatorial quantization operations
A high-performance runtime framework for modern robotics.
UIE(Universal Information Extraction) infer by ncnn