Croot @ zhaosai " I # sudoyuminstalinet - toolsLoadedplugins : fastestmirrorDeterminingfastestmirrorsOneoftheconfiguredrepositoriesfailed ( Unknowm ), andyumdoesn ' thaveenoughcacheddatatocontinue . Atthispointtheonlysafethingyumcandoisfail . Thereareafewwaystowork " fix " this :1.Contacttheupstreamfortherepositoryandgetthemtofixtheproblem.2.Reconfigurethebaseurl/ etc . fortherepository , topointtoauorkingupstream . ThisismostoftenusefulifyouareusinganewerdistributionreleasethanissupportedbytherepositoryCandthepackagesforthepreviousdistributionreleasestillwork ).3.Runthecommandwiththerepositorytemporarilydisabledyum-- disablerepo =< repoid >...4.Disabletherepositorypermanently, soyumwon ' tuseitbydefault . Yumwillthenjustignoretherepositoryuntilyoupermanentlyenableitagainoruse -- enablerepofortemporaryusage : gum - config - manager -- disable < repoid > subscription - managerrepos -- disable =< repoid >or5, Configurethefailingrepositorytobeskipped , ifitisunavailable . Notethatyumwilltrytocontacttherepo . whenitrunsmostcormands . sowillhavetotryandfaileachtime ( andthus , yumwillbebemuchslower ), Ifitisaverytemporaryproblemthough , thisisoftenanicecompromise : yum - config - manager -- save -- setopt =< repoid >、 skip _ if _ unavailable = trueCannotfindavalidbaseurlforrepo : base /?/x86_64frootOzhaosai"1"。

C++编程实践：根式计算与数组排序示例

croot = (2 * root + x / (root * root)) / 3; } while (abs(croot - root) > eps); return croot; } 2. 数组元素排序（Program 4_2）第二个程序展示了如何对四个整数进行排序。它使用了简单的冒泡排序...

Android源码模块编译指南：使用mmm命令

例如，使用croot命令可以切换到源码根目录，m或make用于从顶部开始编译整个项目，而mmm则是我们关注的重点，它允许我们编译特定目录下的所有模块。 mmm命令的用法非常直观，例如，如果我们要编译位于...

root @ zhaosai sudoyuminstalltoolsLoadedplugins: fastestmirrorDeterminingfastestmirrorsOneoftheconfiguredrepositoriesfailed ( Unknown ), andyumdoesn ' thaveenoughcacheddatatocontinue . Atthispointtheonlysafethingyumcandoisfail . Thereareafewwaystowork " fix " this :1.Contacttheupstreamfortherepositoryandgetthemtofixtheproblem.2.Reconfigurethebaseurl/ ete . fortherepository , topointtoaworkingupstream . ThisismostoftenusefulifyouareusinganewerdistributionreleasethanissupportedbytherepositoryCandthepackagesforthepreviousdistributionreleasestillwork ),3.Runthecommandwiththerepositorytemporarilydisabledgum-- disablerepo = crepoid >...4.Disabletherepositorypermanently, soyumwon ' tuseitbydefault . YumwillthenJustignoretherepositoryuntilyoupermanentlyenableitagainoruse -- enablerepofortemporaryusage : yum - config - manager -- disable < repoid > Orsubscription - managerrepos -- disable =< repoid >5.Configurethefailingrepositorytobeskipped, ifitisunavailabie . Notethatyumwilltrytocontacttherepo , whenitrunsmostcommands . sowillhavetotryandfaileachtimeCandthus . yumwillbebemuchslower ), Ifitisaverytemporaryproblemthough , thisisoften & nicecompromise : yum - config - manager -- save -- setopt - crepoid >. skip _ if _ unavailable = trueCannotfindavalidbaseurlforrepo : base /?/x86_64Croot@ zhaosai "#

这似乎是一个关于使用yum安装工具时出现的错误消息。可能是由于配置的存储库不可用，导致yum无法继续操作。建议您联系存储库的提供者，或者通过禁用存储库或跳过不可用存储库来解决问题。您可以尝试运行以下命令来...

vi sine.croot@LAPTOP-UM25I7CP:~# gcc -o sine.c sin.x -1musr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/Scrtl.o: In functionstart text+0x20): undefined reference to maincollect2: error: ld returned l exit status

这个错误是由于缺少了主函数（main函数）导致的。在编译的时候需要指定源文件的名称，而不是指定可执行文件的名称。请尝试以下命令进行编译： gcc -o sine sine.c -lm 其中，-o sine 指定生成的可执行...

OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\highgui\src\window.cpp:967: error: (-215:Assertion failed) size.width>0 && size.height>0 in function 'cv::imshow'

这个错误是因为在使用 OpenCV 的 imshow 函数时，传入的图像尺寸宽度和高度必须大于零。请确保你传入的图像大小是正确的，并且没有出现错误的尺寸值。你可以检查一下图像的大小是否正确，以及是否成功加载了图像...

react-base:高阶组件，用于处理合并的回调，前缀的类名和道具传递

将@base应用于组件将应用上述模块中的类装饰器，并调用this.base()返回react-callback-register的callbacks ， react-c的cRoot()和react-passthrough的合并输出。 passthrough() 。为什么要使用它？大多数React...

croot:绑定到ROOT的C-API（CRoot）

绑定到ROOT的C-API（CRoot）。 croot现在同时支持ROOT-5和ROOT-6 。安装不幸的是， go-hep/croot并不完全具备go-get能力。从github检索代码后，您需要运行go generate （或make gen ）： $ go get -d github....

[ WARN:0@0.239] global C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgcodecs\src\loadsave.cpp (239) cv::findDecoder imread_('image2.jpg'): can't open/read file: check file path/integrity Traceback (most recent call last): File "C:\Users\86158\PycharmProjects\pythonProject\main.py", line 10, in <module> gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) cv2.error: OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'

这个警告提示你的程序无法找到或读取名为"image2.jpg"的文件，请检查文件路径和完整性。另外，你的代码中似乎没有读取图像文件的代码，你需要在运行cv2.cvtColor()函数之前，使用cv2.imread()函数来读取图像文件，...

cv2.error: OpenCV(4.6.0) /croot/opencv-suite_1676452025216/work/modules/imgproc/src/clahe.cpp:353: error: (-215:Assertion failed) _src.type() == CV_8UC1 || _src.type() == CV_16UC1 in function 'apply'

这个错误信息是由于输入图像的类型不正确，无法进行CLAHE操作。CLAHE操作只能应用于单通道的灰度图像，而不能应用于多通道的彩色图像。你可以先将彩色图像转换为灰度图像，然后再进行CLAHE操作。...

算法中有这个bug，[ WARN:0@21.462] global C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgcodecs\src\loadsave.cpp (239) cv::findDecoder imread_('‪C:\Users\ty\Desktop\1.jpg'): can't open/read file: check file path/integrity Traceback (most recent call last): File "C:\Pycharmproject\pythonProject\main.py", line 12, in <module> gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.error: OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'

这个错误提示中的关键信息是：can't open/read file: check file path/integrity，也就是无法打开或读取指定的文件。这可能是由于文件路径错误、文件不存在或文件损坏等原因导致的。解决这个问题的方法是： ...

[ WARN:0@7.644] global C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\videoio\src\cap_gstreamer.cpp (862) cv::GStreamerCapture::isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created Traceback (most recent call last): File "D:\projectfiles\PycharmProj\wheal-condition-identify\src\predict.py", line 8, in <module> model.load_state_dict(torch.load("../models/0.9664634466171265.pth")) File "C:\Users\NLER\.conda\envs\pytorch-Demo2\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for ResNet: size mismatch for fc.weight: copying a param with shape torch.Size([20, 2048]) from checkpoint, the shape in current model is torch.Size([1000, 2048]). size mismatch for fc.bias: copying a param with shape torch.Size([20]) from checkpoint, the shape in current model is torch.Size([1000]).

根据错误提示，您的模型中的fc层的结构与加载的预训练模型的fc层结构不一致，导致无法加载预训练模型的参数。在这种情况下，需要修改您的模型的fc层结构，使其与预训练模型的fc层结构一致，或者重新训练一个与预训练...

C:\Users\dev-admin\croot2\xgboost-split_1675461376218\work\dmlc-core\src\io\local_filesys.cc:209: Check failed: allow_null: LocalFileSystem::Open "model6.xgb": No such file or directory

这个错误通常是因为在指定的路径中找不到指定的文件 'model6.xgb'，请检查文件路径是否正确以及文件是否存在。如果路径和文件名都正确，那么可能是文件读取权限的问题，你可以检查文件读取权限是否正确。...

[ WARN:0@0.552] global c:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\opencv_contrib-4.6.0\modules\xfeatures2d\misc\python\shadow_sift.hpp (15) cv::xfeatures2d::SIFT_create DEPRECATED: cv.xfeatures2d.SIFT_create() is deprecated due SIFT tranfer to the main repository. https://github.com/opencv/opencv/issues/16736 E:\anaconda\envs\pytorch\lib\site-packages\scipy\optimize\_optimize.py:2417: RuntimeWarning: overflow encountered in scalar subtract tmp2 = (x - v) * (fx - fw) E:\anaconda\envs\pytorch\lib\site-packages\scipy\optimize\_optimize.py:2416: RuntimeWarning: overflow encountered in scalar subtract tmp1 = (x - w) * (fx - fv) E:\anaconda\envs\pytorch\lib\site-packages\scipy\optimize\_optimize.py:3386: RuntimeWarning: overflow encountered in scalar multiply t -= deltatemptemp E:\anaconda\envs\pytorch\lib\site-packages\scipy\optimize\_optimize.py:2878: RuntimeWarning: overflow encountered in scalar subtract tmp2 = (xb - xc) * (fb - fa) E:\anaconda\envs\pytorch\lib\site-packages\scipy\optimize\_optimize.py:3384: RuntimeWarning: overflow encountered in scalar multiply t = temptemp

这个警告和运行时的错误是由不同的问题引起的。首先，警告是由于OpenCV库中的SIFT算法已经被移动到主存储库中，因此推荐使用cv2.SIFT_create()代替cv2.xfeatures2d.SIFT_create()。如果你使用的是OpenCV 4.4及...

[ WARN:0@12.577] global C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\videoio\src\cap_gstreamer.cpp (862) cv::GStreamerCapture::isPipelinePlaying OpenCV | GStreamer warning: GStreamer: pipeline have not been created (python.exe:10308): GLib-GIO-WARNING **: 21:20:09.250: Unexpectedly, UWP app Microsoft.ScreenSketch_11.2303.17.0_x64__8wekyb3d8bbwe' (AUMId Microsoft.ScreenSketch_8wekyb3d8bbwe!App') supports 29 extensions but has no verbs Traceback (most recent call last): File "D:\学习\作业\pythonProject\代码\traditional\extract_hand_video.py", line 57, in <module> main() File "D:\学习\作业\pythonProject\代码\traditional\extract_hand_video.py", line 38, in main key = cv2.waitKey(8) KeyboardInterrupt

这个警告表明GStreamer捕获器无法创建管道。这通常是由于没有正确设置GStreamer环境或缺少必要的元素库引起的。您可以尝试重新安装GStreamer或确保您的环境正确设置。另外，您的代码中还出现了一个 ...

cv2.error: OpenCV(4.6.0) C:/b/abs_d8ltn27ay8/croot/opencv-suite_1676452046667/work/modules/imgproc/src/morph.simd.hpp:649: error: (-215:Assertion failed) _kernel.type() == CV_8U in function 'cv::opt_AVX2::anonymous-namespace'::MorphFilter<struct cv::opt_AVX2::anonymous namespace'::MaxOp<unsigned char>,struct cv::opt_AVX2::A0x35cc68ab::MorphVec<struct cv::opt_AVX2::anonymous namespace'::VMax<struct cv::hal_AVX2::v_uint8x32> > >::MorphFilter'

这个错误是由于在使用OpenCV的形态学操作过程中出现了断言失败。具体来说，错误信息显示断言的条件是 _kernel.type() == CV_8U，意味着内核的类型应该是8位无符号整数类型（CV_8U）。要解决这个问题，你可以检查...

Traceback (most recent call last): File "D:/pythonProject/DATA/jaffeim.ages(1)/test2.py", line 33, in <module> img = cv2.resize(image, (256, 256), interpolation=cv2.INTER_CUBIC) cv2.error: OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgproc\src\resize.cpp:4052: error: (-215:Assertion failed) !ssize.empty() in function 'cv::resize'

这个错误是由于 OpenCV 的 cv2.resize 方法中的断言失败引起的。错误信息显示了一个断言错误，表示输入图像的尺寸为空。根据错误信息，您的代码中的这一行： python img = cv2.resize(image, (256, 256), ...

# 加载数据 train_loader = DataLoader(train_set, batch_size=BATCB_SIZE, shuffle=True) test_loader = DataLoader(test_set, batch_size=BATCB_SIZE, shuffle=True) # 遍历数据集中的每个 batch for batch in train_loader: # 随机选择一张图片 index = random.randint(0, BATCB_SIZE - 1) image, label = batch[0][index], batch[1][index] # 显示图片和标签 cv2.imshow('image', image.numpy()) print('label:', label) # 等待按键 cv2.waitKey(0) cv2.destroyAllWindows()报如下错误 cv2.imshow('image', image.numpy()) cv2.error: OpenCV(4.6.0) c:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\modules\imgproc\src\color.simd_helpers.hpp:92: error: (-2:Unspecified error) in function '__cdecl cv::impl::anonymous-namespace'::CvtHelper<struct cv::impl::anonymous namespace'::Set<3,4,-1>,struct cv::impl::A0x9caa6b13::Set<3,4,-1>,struct cv::impl::A0x9caa6b13::Set<0,2,5>,2>::CvtHelper(const class cv::_InputArray &,const class cv::_OutputArray &,int)' > Invalid number of channels in input image: > 'VScn::contains(scn)' > where > 'scn' is 28如何在此基础上进行修改

这是一个 OpenCV 的错误，提示输入图像的通道数不正确。根据错误信息中的提示，可能是由于输入图像的通道数不是 3 或 4 导致的。你可以尝试检查一下输入图像的通道数，或者尝试使用 cv2.cvtColor 函数将图像的通道数...

Traceback (most recent call last): File "C:\Users\86158\PycharmProjects\pythonProject\main.py", line 13, in <module> surf = cv2.xfeatures2d.SURF_create() cv2.error: OpenCV(4.6.0) C:\b\abs_d8ltn27ay8\croot\opencv-suite_1676452046667\work\opencv_contrib-4.6.0\modules\xfeatures2d\src\surf.cpp:1029: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'cv::xfeatures2d::SURF::create'

这个错误提示是因为你使用的是 OpenCV 的 SURF 特征检测算法，而该算法是受专利保护的，因此默认情况下在 OpenCV 中是被禁用的。要解决这个问题，可以尝试以下两种方法： 1. 设置 OpenCV 的 CMake 选项，启用非...

UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\b\abs_bao0hdcrdh\croot\pytorch_1675190257512\work\aten\src\ATen\native\TensorShape.cpp:2895.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]

这个警告是因为在未来的版本中，传递索引参数将是必需的。在调用torch.meshgrid时，必须...这个警告在 C:\b\abs_bao0hdcrdh\croot\pytorch_1675190257512\work\aten\src\ATen\native\TensorShape.cpp:2895 中被触发。

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C:\Users\dev-admin\croot2\xgboost-split_1675461376218\work\dmlc-core\src\io\local_filesys.cc:209: Check failed: allow_null: LocalFileSystem::Open "model6.xgb": No such file or directory

UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\b\abs_bao0hdcrdh\croot\pytorch_1675190257512\work\aten\src\ATen\native\TensorShape.cpp:2895.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]

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