3D ResNet Video Classification accelerated by TensorRT
C++ library based on tensorrt integration
TensorRT ONNX Plugin、Inference、Compile
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Implement yolov5 s/m//l/x with TensorRT API and support serialization/deserialization+image detection/video detection and recording
Caffe: a fast open framework for deep learning.
Converts MS COCO to YOLO，given data foramt to COCO and DOTA to COCO
Powerful and efficient Computer Vision Annotation Tool (CVAT)
DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy
Simple Online Realtime Tracking with a Deep Association Metric
SOTA ReID Methods and Toolbox
GStreamer open-source multimedia framework
Yolov5 inference on NVDec hardware decoder
util code for processing/diff images basing on opencv
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
Cross-platform, customizable ML solutions for live and streaming media.
OpenMMLab Rotated Object Detection Toolbox and Benchmark
ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)
Convert TensorFlow models to ONNX
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测