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preface: Now let's assume that n factories send out demand at the same time every morning, that is, how many goods do you want from which factory. Then, it is better to carry out unified allocation. In the later stage, we will realize that a separate factory will issue orders, and then dispatch and solve them separately. At present, the cod ...

         TensorRT is designed by Nvidia to accelerate the reasoning based on its own GPU training model. After we train the model, TensorRT can directly conduct one-to-one correspondence on the network layer of the model, so as to accelerate the reasoning deployment of larger models. Recently, TensorRT ha ...

nn.Conv2d -- two dimensional convolution operation torch.nn.Conv2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', device=None, dtype=None) Function: 2D convolution operation is applied to the input signal composed of multiple input planes, which is commonly used in imag ...

1. The problem appears Recently, when using the built-in trtexec tool in TensorRT 7.2.3.4 to convert the onnx model of yolov3 spp into TensorRT model file, there was an error that the ScatterND plug-in could not be found. The error is as follows: ModelImporter.cpp:135: No importer registered for op: ScatterND. Attempting to import as plug ...

Continue with the previous article on training your own dataset using yolov5. This article will show you how to deploy yolov5 using Msnhnet on windows and linux, pc and jetson nx platforms. pytorch model to msnhnet Open the terminal under the yolov5 folder. Copy best.pt to the weights folder. Execute python yolov5ToMsnhnet.py The content ...

The reason for writing this article is that after embedding with SVD and deepwall in a recommended task, the effect of the model has been improved, and the application of SVD is beyond the knowledge of dimension reduction and there is a lot to think about, so some methods of SVD and embedding are summarized. 1. Singular Value Decomposition SVD ...

1. jieba Chinese word segmentation import jieba text = "In most cases, vocabulary is the basis of our understanding of sentences and articles, so we need a tool to decompose the complete text into finer grained words." cut_result = jieba.cut(text, cut_all=True) # Full mode print(cut_result) print("\n Full mode : " + "/ ".join(cut_result)) ...

After reading this article, you can do the following two questions together: 104. Maximum depth of binary tree559.n maximum depth of fork tree Force button topic link (opens new window) Given a binary tree, find its maximum depth. The depth of the binary tree is the number of nodes on the longest path from the root node to the farthest ...

Overall reference: Paddleocr 2.3 - Documentation tutorial You must see the first three steps and ask for them on demand one 🎨 environment If the cuda version of this machine is not very satisfied with the image requirements of paddlepaddle, you can consider creating a cpu version. It wouldn't be that complicated. For example: docker pull p ...

Installation of Anaconda(3-2021.05)+Tensorflow(2.6) in Win10 environment In the process of learning machine learning, many Python libraries will be used, such as tensorflow and pandas. It is very inconvenient to install them alone. Therefore, in most cases, people will install Anaconda first. 1. Install Anaconda3 version You can find the lat ...