"read src image ok" << endl; cout << "module forward" << endl; auto output = module.forward({ srcTensor, bgrTensor }).toTensor(); cout << "module forward over" << endl; Tensor mask The crash line is “auto outpu
labelImg,标注完是json格式,自己完成json文件 -> mask图片功能 U2-Net主要测试多组数据集: 训练数据集:在DUTS-TR上训练的网络,它是DUTS数据集的一部分。DUTS-TR包含共10553张图片。目前,它是最大的用于显著目标检测的常用训练数据集。训练之前,做了平翻转来扩充这个数据集,也就是21106张图像。 评估数据集:六个...
import torchimport torchvision.models as modelsfrom PIL import Imageimport numpy as np#加载测试图片调整大小 image = Image.open("test.jpg") #图片发在了build文件夹下image = image.resize((224, 224),Image.ANTIALIAS)#进行预处理 image = np.asarray(image)image = image / 255image = torch.Tenso...
🐛 Bug Hi, I use CPP torch fronted API with thrust library (but independent). When I call torch function mask_select on tensor which is a store at GPU and mask which is store on GPU too (result is store on GPU), I get an error. terminate ...
The push function doesn't work for the above case where only pushing one element on the stack. Pushing more elements like push(stack, 1, 2) worked fine. But not push(stack, 1). Probably due to a combination of this particular implementation and VS compiler (VS 15.6.6). In jit\stack...
Function Opencv->Torch auto ToTensor(cv::Mat img, bool show_output = false, bool unsqueeze=false, int unsqueeze_dim = 0) { std::cout << "image shape: " << img.size() << std::endl; at::Tensor tensor_image = torch::from_blob(img.data, { 3, img.rows, img.cols }, at::kByt...
-注意 implicit declaration of function ‘XXX’:未申明的引用的错误,通过-D_GLIBCXX_USE_CXX11_ABI=0来控制 set(Torch_DIR "path/to/libtorch/share/cmake/Torch") find_package(Torch REQUIRED) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14 ${TORCH_CXX_FLAGS}") ...
image = torch.Tensor(image).unsqueeze_(dim=0) #变换维度 image = image.permute((0, 3, 1, 2)).float() #加载使用pytorch自带resnet50模型 model = models.resnet50(pretrained=True) model = model.eval() resnet = torch.jit.trace(model, torch.rand(1,3,224,224)) ...