04 2019 档案
摘要：Training iter #122180: Batch Loss = 0.516407, Accuracy = 0.8109999895095825
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摘要：https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md https://blog.csdn.net/z17816876284/article/details/79159518
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摘要：(flappbird) luo@luo-All-Series:~/librealsense/build201901/tools/enumerate-devices$ ./rs-enumerate-devicesDevice info: Name : Intel RealSense USB2 Seri
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摘要：http://auth4.tsinghua.edu.cn/srun_portal_pc_ac.php?ac_id=27 Intel(R) Xeon(R) CPU E3-1230 v3 @ 3.30GHz Linux luo-All-Series 4.15.0-47-generic #50-Ubunt
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摘要：1 0.29866665601730347 0.37028715014457740 0.3773333430290222 0.4119850099086761560 0.47733333706855774 0.532084882259368990 0.5896666646003723 0.57877
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摘要：Training iter #1: Batch Loss = 1.234543, Accuracy = 0.29866665601730347PERFORMANCE ON TEST SET: Batch Loss = 1.146768569946289, Accuracy = 0.370287150
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摘要：libboost_atomic-vc150-mt-gd-x64-1_66.liblibboost_atomic-vc150-mt-s-x64-1_66.liblibboost_atomic-vc150-mt-sgd-x64-1_66.liblibboost_atomic-vc150-mt-x64-1
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摘要：1> 已启动全部重新生成: 项目: QtGuiApplication20190416, 配置: Debug x64 1>Uic'ing QtGuiApplication20190416.ui...1>Rcc'ing QtGuiApplication20190416.qrc...1>Moc'ing Q
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摘要：include E:\OpenSourceGraph\OSG_install2\include E:\Qt\Qt5.11.1\5.11.1\msvc2015_64\include E:\IFC\Carve\include\2019 E:\IFC\IfcPlusPlusd\include\2019 E
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摘要：https://blog.csdn.net/yapingxin/article/details/51841039
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摘要：编译项目时，发现报错：VS 无法打开包括文件: “QOpenGLWidget”: No such file or directory，在Qt对应的目录(E:\Qt\Qt5.12.2\5.12.2\msvc2017_64\include)中发现QOpenGLWidget是在QtWidgets目录下面的
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摘要：E:\\Qt\\Qt5.12.2\\5.12.2\\msvc2017_64\\lib\\ Qt5NetworkAuthd.libQt5Networkd.libQt5Nfcd.libQt5OpenGLd.libQt5OpenGLExtensionsd.libQt5PacketProtocold.lib
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摘要：E:\Visual Studio 2013\install\VC\bin\amd64>E:\IFC\boost_1_56_0_vs2013'E:\IFC\boost_1_56_0_vs2013' 不是内部或外部命令，也不是可运行的程序或批处理文件。 E:\Visual Studio 2013\ins
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摘要：1> Rebuild All started: Project: ZERO_CHECK, Configuration: Debug x64 1> Checking Build System1> CMake does not need to re-run because E:/OpenSourceGr
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摘要：下载： https://www.boost.org/ 或者 https://dl.bintray.com/boostorg/release/1.66.0/source/ 下载完成以后解压到自己想要放置的目录 打开VS 2017 x64的本机工具命令提示 ： 在命令行切换到boost的放置目录 (注意
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摘要：E:\Perl\site\bin;E:\Perl\bin;C:\Program Files\Microsoft MPI\Bin\;C:\ProgramData\Oracle\Java\javapath;C:\Program Files (x86)\Intel\iCLS Client\;C:\Prog
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摘要：原文地址：https://arxiv.org/pdf/1903.12174.pdf 论文阅读：http://www.zhenzhujue.cn/article-36456-1.html https://blog.csdn.net/qq_37014750/article/details/8891675
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摘要：Mask_RCNN source activate flappbird cd /home/luo/Desktop/MyFile/MaskRCNN/MyOwnMaskRCNN3/samples/test1 Mask_RCNN_Openpose_Realsense source activate fla
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摘要：PERFORMANCE ON TEST SET: Batch Loss = 0.6423985362052917, Accuracy = 0.9051185846328735 Training iter #584292: Batch Loss = 0.357018, Accuracy = 0.966
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摘要：Intel(R) Core(TM) i7-4710MQ CPU @ 2.50GHz Intel(R) Core(TM) i7-4710MQ CPU @ 2.50GHz Intel(R) Core(TM) i7-4710MQ CPU @ 2.50GHz Intel(R) Core(TM) i7-471
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摘要：(flappbird) luo@luo-ThinkPad-W540:tf-faster-rcnn$ ./experiments/scripts/train_faster_rcnn.sh 0 pascal_voc_0712 res101+ set -e+ export PYTHONUNBUFFERED
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摘要：https://blog.csdn.net/oMoDao1/article/details/82698571 https://www.cnblogs.com/CarryPotMan/p/5390336.html https://blog.csdn.net/m0_37407756/article/de
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摘要：data 用来存放pretrained模型，比如imagenet上的，以及读取文件的cache缓存 experiments 存放配置文件以及运行的log文件，另外这个目录下有scripts可以用end2end或者alt_opt两种方式训练。 lib 用来存放一些python接口文件，如其下的data
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摘要：luo@luo-ThinkPad-W540:TensorflowProject$ source activate flappbird (flappbird) luo@luo-ThinkPad-W540:TensorflowProject$ (flappbird) luo@luo-ThinkPad-W
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摘要：cd /home/luo/Desktop/MyFile/Mask_RCNN_Openpose_Realsense python realsense_mask_openpose_2019032601.py python realsense_mask_openpose_2019040201-savept
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