Programming VIP

1. Environment and Version Description         ~~~~~~~        ● ubuntu 18.04         ~~~~~~~        ● CUDA 10.0         ...

This article mainly describes how I r u n yolov5:v4.0 on Jetson AGX Xavier 0 My Xavier configuration: JetPack: 4.3cuda:10.0python:3.6.9 YOLOv5 The download training reasoning here runs on the server. Download yolov5: git clone https://github.com/Oswells/yolov5.git Note: This is fork ultralytics/**yolov5 **Yolo V5, version 4.0 of the gre ...

The position of yolo Series in the field of target detection goes without saying. There is a code for training yolov5 implemented by pytorch on github. This paper will use its own data to train a yolov5 model. Reference code address https://github.com/ultralytics/yolov5/tags Note that here we select v1.0 under tags 0 version for training, d ...

This article mainly introduces how to use Darknet to train your own data set under windows. The model uses yolov4 tiny, and the data set uses your own garbage classification data set (self access required: there are in the resources I upload) PS: This is my first blog. If there are deficiencies, please correct them. Thank you! Knowledge summar ...

The task of target detection is to find all interested targets (objects) in the image and determine their categories and positions. It is one of the core problems in the field of computer vision. Target detection has been applied to many fields, such as security, unmanned sales, automatic driving and military. In many cases, the device running ...

In the previous article, I introduced the YOLOX target detection model. I know that it is based on Pytroch and similar to the YOLOv5 target detection model. The article link is: YOLOX, which is more powerful than YOLOv5, officially supports OpenVINO reasoning Based on the ONNX model of YOLOX, this paper tests the models of YOLOX small and Y ...

SlowFast - deployment and testing brief introduction GitHub: https://github.com/facebookresearch/SlowFast The official operation example diagram is like this. The features are: the recognized action is atomic action; Each person may be recognized multiple actions at the same time. Installation deployment Deployment platform: Polar cha ...

Target detection YOLO series: fast iteration YOLO v5 Author: Glenn Jocher Published on: 2020 Original Paper: no Paper published, through github( yolov5 )Release. 1. Overview At the beginning of its release, it was controversial. Some people thought it could be called YOLOv5. However, with its excellent performance and perfect engineering sup ...

To train a network, we need to evaluate the network, and think about why and how to optimize the network according to the evaluation results. This is a closed loop. How to evaluate the trained network First, a parameter of the network is the loss value, which reflects the gap between the results obtained by your trained network and the real v ...

preface SMOKE is a real-time monocular 3D object detector for automatic driving. Why pay attention to this article? This is because the obstacle perception of Baidu Apollo 7.0 camera released these two days is also improved based on this model; So it made me interested. Paper name: smoke: single stage monolithic 3D object detection via keynot ...