azureology / jetson-nano-fire-detectionLinks
real-time fire detection on Jetson Nano 2GB using NanoDet
☆28Updated 4 years ago
Alternatives and similar repositories for jetson-nano-fire-detection
Users that are interested in jetson-nano-fire-detection are comparing it to the libraries listed below
Sorting:
- This is a c++ implement of yolov5 and fire/smoke detect.☆30Updated 3 years ago
- This repo is a C++ version of yolov5_deepsort_tensorrt. Packing all C++ programs into .so files, using Python script to call C++ program…☆50Updated 2 years ago
- caffe, lane detection, 300fps☆16Updated 5 years ago
- 车道线检测Lanenet TensorRT加速C++实现☆23Updated 3 years ago
- A C++ implementation of Deepsort in Jetson Xavier nx and Jetson nano☆70Updated 3 years ago
- 用opencv的dnn模块实现Yolo-Fastest的目标检测☆51Updated 4 years ago
- 分别使用OpenCV、ONNXRuntime部署多任务的yolov5目标检测+语义分割,包含C++和Python两个版本的程序☆30Updated 3 years ago
- Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.☆54Updated 2 years ago
- Run tensorrt yolov5 on Jetson devices, supports yolov5s, yolov5m, yolov5l, yolov5x.☆73Updated 3 years ago
- ☆30Updated 5 years ago
- YOLOX 训练自己的数据集 TensorRT加速 详细教程☆40Updated 3 years ago
- Camera Calibration; Distortion Correction; Perspective transform ("bird-eye view"); Compute curvature and vehicle position.☆50Updated 7 years ago
- A paper list with code of lane detection.☆64Updated last year
- ☆24Updated 4 years ago
- ☆12Updated 5 years ago
- nanodet int8 量化,实测推理2ms一帧!☆37Updated 4 years ago
- YOLOv4-MultiTask for Pytorch☆43Updated 4 years ago
- The MOT implement by Solov2+DeepSORT with C++ (Libtorch, TensorRT).☆46Updated 2 years ago
- Lane detection model for mobile device via MNN project☆77Updated 5 years ago
- A C++ implementation of Yolov5 to detect peaple smoking running in Jetson Xavier nx and Jetson nano.☆12Updated 3 years ago
- TensorRT实现YOLOX部署☆13Updated 3 years ago
- yolov5_ncnn in ununtu16.04☆10Updated 4 years ago
- Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.☆75Updated 5 years ago
- 分别使用OpenCV、ONNXRuntime部署YOLOPV2目标检测+可驾驶区域分割+车道线分割,一共包含54个onnx模型,依然是包含C++和Python两个版本的程序。仅仅只依赖OpenCV就能运行,彻底摆脱对任何深度学习框架的依赖。☆80Updated 2 years ago
- tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version☆20Updated 3 years ago
- Deep Sort algorithm C++ version☆94Updated 5 years ago
- Combined lane and vehicle detection pipeline comparing YOLOv2 and LeNet-5☆15Updated 7 years ago
- Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...)☆36Updated 3 years ago
- ☆14Updated 3 years ago
- ☆12Updated 2 years ago