INRIA Person Dataset(法国国家信息与自动化研究所 行人数据库) 数据摘要: This dataset was collected as part of research work on detection of upright people in images and video. The research is described in detail in CVPR 2005 paper Histograms of Oriented Gradients for Human Detection and my PhD ...
部分转载自:https://zhuanlan.zhihu.com/p/31836357 6.INRIA Person Dataset(INRIA行人数据库) 该数据库是目前使用最多的静态行人检测数据库,提供原始图片及相应的标注文件。训练集有正样本614张(包含2416个行人),负样本1218张;测试集有正样本288张(包含1126个行人),负样本453张。图片中人体大部分为站立姿势且...
The INRIA Person dataset is a dataset of images of persons used for pedestrian detection. It consists of 614 person detections for training and 288 for testing. Source: http://pascal.inrialpes.fr/data/human/ Homepage Benchmarks Edit No benchmarks yet. Start a new benchmark or link an...
INRIA Person Dataset法国国家信息与自动化研究所行人数据库数据摘要:This dataset was collected as part of research work on detection of upright p
INRIA Person 数据集用来对图像和视频中的直立行人进行检测。该数据集包含两类格式的数据,第一类为原始图像和相应的直立行人标注。第二类为标准化为 64x128 像素的直立性人正类和对应图片的负类图像。点赞(0) 踩踩(0) 反馈 所需:30 积分 电信网络下载 ...
@misc{INRIAPerson9191, title = { INRIA Person图像数据集 } author = { sisis િ😏ી }, howpublished = { \url{https://www.heywhale.com/mw/dataset/5e24202ab8c462002d645ce3} } year = { 2020 } } 信息 挂载目录 /home/mw/input/INRIAPerson9191 ...
You don't need to use this class if you use Inria Person Dataset because it has annotation information in it. This program is for the dataset which has no annotation informations. You can create region information of objects to be detected. To use this class, you have to change config....
$mkdir -p dataset/pos dataset/neg dataset/HardExample$cp INRIAPerson/96X160H96/Train/pos/* dataset/pos/ 编译出可执行文件 $cmake .$make 也可以在命令行使用g++编译出可执行文件,例如 $g++ -o CropImage crop_image.cpp $(pkg-config opencv --cflags --libs)$g++ -o SvmTrainUseHog main.cpp $...
处理INRIAPerson数据集_inria [6]数据集,inria person dataset训练集-C++代码类资源Lo**情蛊 上传5.63 KB 文件格式 rar INRIAPerson 使用opencv代码处理INRIAPerson数据集,代码工程基于Qt5 点赞(0) 踩踩(0) 反馈 所需:3 积分 电信网络下载 Fuzzy-ESO-ATPPC 2025-03-31 17:32:48 积分:1 ...
先修改 dataset.h 里面参数,将 TRAIN 由false 改为true , 以进行训练,参数修改后需通过 make 重新编译可执行文件,然后通过 SvmTrainUseHog 开始训练。$ make $ ./SvmTrainUseHog到这里已经得到了 SVM_HOG.xml 可以用来进行检测,但是检测效果不太好,所以下面加入 HardExample 来进行进一步训练。