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#include <iostream>#include <opencv2/opencv.hpp> using namespace std;using namespace cv; int elementSize = 3;int maxSize = 260; int Demo_Load_Img(); / 阅读全文
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#include <iostream>#include <opencv2/opencv.hpp> using namespace std;using namespace cv; //均值滤波模糊处理int demo_blur(){ char win1[] = "window1"; char win2 阅读全文
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来自：https://github.com/IntelRealSense/librealsense/issues/1231 import pyrealsense2 as rs pipeline = rs.pipeline() pipe_profile = pipeline.start() frame 阅读全文
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#include <iostream> #include <vector> #include <opencv2/opencv.hpp> using namespace std;using namespace cv; void readvideoandsaveimage(string video, s 阅读全文
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构造函数 Mat() Mat(int rows,int cols,int type) Mat(Size size,int type) Mat(int rows,int cols,int type,const Scalar &s) Mat(Size size,int type,const Scalar 阅读全文
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Mat kernel = (Mat_<char>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0); filter2D(img1, img2, img1.depth(), kernel); 阅读全文
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#include <iostream>#include <opencv2/opencv.hpp> using namespace cv;using namespace std; int main(int argc,char** argv) { Mat img1, img2,img3,img1_1; 阅读全文
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安装 Anaconda3 Tensorflow-cpu python3tensorflow 1.4.1+opencv3， protobuf， python3-tk (flappbird) luo@luo-ThinkPad-W540:OpenPose$ (flappbird) luo@luo-Thin 阅读全文
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1、Mask_RCNN 2、openpose 3、AlphaPose 4、Kinect 阅读全文
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#include <iostream>#include <opencv2/opencv.hpp> using namespace std;using namespace cv; /***opencv自带的掩膜操作API*/int test2(){ Mat img1, img2, img3; img1 阅读全文
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#https://www.tensorflow.org/install/install_linux#ValidateYourInstallation #https://github.com/MVIG-SJTU/AlphaPose #https://github.com/torch/distro gb 阅读全文
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###################librealsense and Mask_RCNNcd RealSennse/librealsense2018091501/librealsense/wrappers/python/buildpy091601python2 tools/test20180916 阅读全文
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gbt@gbt-Precision-7720:~$ gbt@gbt-Precision-7720:~$ cd Anacondagbt@gbt-Precision-7720:~/Anaconda$ gbt@gbt-Precision-7720:~/Anaconda$ lsAnaconda2 Anaco 阅读全文
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cd DETECTRON/detectron/ python2 tools/infer_simple_ip_camera.py \ --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \ --output-dir ./det 阅读全文
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import cv2# COCO Class names#For human pose task We just use "BG" and "person"class_names = ['BG', 'person']# Load a random image from the images fold 阅读全文
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#############MaskRCNNcource activate flappbirdcd /home/luo/Desktop/MyFile/MaskRCNN/MyOwnMaskRCNN1/samples/test1python cameracheck3.pysource deactivate 阅读全文
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(AlphaPose20180911) luo@luo-ThinkPad-W540:AlphaPose$ ./run.sh --indir examples/demo/ --outdir examples/results/ --vis0generating bbox from Faster RCNN 阅读全文
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luo@luo-ThinkPad-W540:~$ luo@luo-ThinkPad-W540:~$ luo@luo-ThinkPad-W540:~$ luo@luo-ThinkPad-W540:~$ sudo apt install libreadline-devReading package li 阅读全文
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#os.chdir("/deepmatching")os.chdir(os.path.dirname(os.path.abspath("deepmatching1"))) (AlphaPose20180911) luo@luo-ThinkPad-W540:PoseFlow$ (AlphaPose20 阅读全文
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参考： https://blog.csdn.net/heiheiya/article/details/81111932 https://blog.csdn.net/c20081052/article/details/80745969 打开 model.py，找到load_weights 函数，大概在 阅读全文
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参考： https://blog.csdn.net/chixia1785/article/details/80040172 https://blog.csdn.net/gxiaoyaya/article/details/78363391 Mask_RCNN用COCO数据集训练需要用到pycocoto 阅读全文
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1、下载kinect SDK ( Kinect for Windows SDK 2.0 Kinect for Windows SDK 2.0 ): https://www.microsoft.com/en-us/download/details.aspx?id=44561 下载以后直接安装，注意，必 阅读全文
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https://github.com/ildoonet/tf-pose-estimation 阅读全文
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conda create -n AlphaPose2018 python=2.7Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.4.10 latest ver 阅读全文
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Loading YOLO model../home/luo/.local/lib/python3.6/site-packages/torch/cuda/__init__.py:116: UserWarning: Found GPU0 Quadro K2100M which is of cuda ca 阅读全文
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https://github.com/MVIG-SJTU/AlphaPose/tree/pytorch News! This pytorch version of AlphaPose runs at 20 fps on COCO validation set (4.6 people per imag 阅读全文
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#include <time.h> char pStrPath1[20];time_t currTime;struct tm *mt;Mat saveImg1; currTime = time(NULL);mt = localtime(&currTime);/*根据日期生成文件名*/sprintf( 阅读全文
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html1="""<!DOCTYPE html><html lang="en" xmlns="http://www.w3.org/1999/xhtml"><head> <meta charset="utf-8" /> <title>我的第一个网页</title> <meta name="genera 阅读全文