Programmer Think

Overview and common data sets 0. General Have basic knowledge of classification network Target detection is divided into two categories: one stage and two stage 1.Two-Stage: Faster R-CNN 1) generate candidate boxes (rpns) through special modules, find prospects and adjust bounding boxes (based on anchors) 2) further classify and adjust the ...

ok, continue to do a CUDA exercise. Among many methods of laser point cloud target detection, one kind of method is based on the depth image projected from the top view of point cloud from the perspective of BEV. Of course, as far as the overhead projection step is concerned, it can be completed with very simple logic whether in python or c + + ...

What is target tracking: tracking a target in an image, to put it bluntly, is to track a small image in the image. Remember the concept of image and small image, so let's start.   Mean shift principle The principle of mean shift is to find the local optimum according to the gradient climb of probability density. probability density If ...

preface The article is linked to: Detailed analysis of YOLO-V3-SPP This paper mainly explains the processing of YoloV3-SPP in the verification reasoning stage, which is divided into the following points: Preprocessing dataProcessing of validationReasoning NMS processingdrawbox for visualization of reasoning results For the calculation of map ...

1, Voc207 dataset    the file structure of voc207 dataset is shown in the following figure.    where the folder Annotations stores the xml file of image annotation information, named from 00000 1 xml start; The folder ImageSets stores the txt files of the image divided set, and the txt files of the train, val, trainva ...

EfficientNet learning notes 1. Thesis ideas In some previous papers, some will improve the performance of the network by increasing the width of the network, that is, increasing the number of convolution cores (increasing the channels of the characteristic matrix), as shown in figure (b), and some will improve the performance of the network b ...

catalog: 1. Necessary environment 2.YOLOX installation and model reasoning 3. Train your data set and test 1. Necessary environment My environment is: Windows 10 + Python 3 9+CUDA11. 1+CUDNN8. one point one There are many tutorials on the Internet. This article mainly records the use of YOLOX. (there is a small pit in the installation of ...

  Last Blog The configuration file in MMDetection is introduced. It mentions that after configuring the model, dataset, training strategy, etc. in the configuration file, the Config class can manage the parameter information in the configuration file in the form of a dictionary, and then the MMDetection framework can automatically parse ...

1 data organization (1) coco128 dataset Here we use the coco dataset, but the coco dataset is too large. Here we use the coco128 dataset, because there are only 128 pictures, and the speed of copying and decompression can be fast. The download link of the coco128 dataset is: https://github.com/ultralytics/yolov5/releases/download/v1.0/coc ...

Train yolov4 tiny on Ubuntu 20.04 1, Data download 1.yolov4 Official download: https://github.com/AlexeyAB/darknet Network disk download link: https://pan.baidu.com/s/1HYiCANZZ4NPYFvMJ-cenFA Extraction code: 2rh0 2.yolov4-tiny.weights Official download: https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-ti ...