cvyang's Projects
Caffe: a fast open framework for deep learning.
C++那些事
CV-CUDA™ is an open-source, graphics processing unit (GPU)-accelerated library for cloud-scale image processing and computer vision.
deep learning for image processing including classification and object-detection etc.
Yolov5 inference on NVDec hardware decoder
刷题记录
Lite.AI.ToolKit 🚀🚀🌟: A lite C++ toolkit of awesome AI models(一个开箱即用的C++ AI工具箱,支持ONNXRuntime/NCNN/MNN/TNN), RobustVideoMatting🔥, YOLOX🔥, YOLOP🔥 etc. https://github.com/DefTruth/lite.ai.toolkit
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Simplify your onnx model
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
An arbitrary face-swapping framework on images and videos with one single trained model!
C++ library based on tensorrt integration
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
c++ version of yolov5 segmentation with ncnn
yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测
YOLOv5_v7.0 :alien: :rocket: 模型训练简明教程 :top: :arrow_left:
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors