Programmer Think

Deep learning environment configuration under Ubuntu 20.04 system (subsystem) (pytoch + GPU) 🍀 Previous sequence (pit avoidance) Last time I installed Ubuntu in the virtual machine and installed Nvidia driver , enter the command Ubuntu drivers devices, and you can see that there are no recommended drivers, as shown below: Finally, sudo ap ...

1 tensor data operation 1.1 torch.reshape() implements data dimension change import torch a = torch.tensor([[1,2],[3,4]]) print(torch.reshape(a,(1,-1))) # It is transformed into a tensor with only one row of data, and the parameter - 1 indicates automatic calculation # tensor([[1, 2, 3, 4]]) print(a.reshape((1,-1))) # # It is transformed into ...

preface This article is based on KITTI data set training yolov5. Friends can divide the data set completely according to my steps (strictly follow the directory structure I listed, there will be no problem), so as to successfully train yolov5 in KITTI. If you strictly follow my directory structure, you don't need to modify any sentence in the ...

reference resources Target detection in bad weather - cloud + community - Tencent cloud 1. Data based approach (1),Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming Regardless of image distortion or weather conditions, the ability to detect objects is crucial for practical applications of deep learning suc ...

Python implementation of k-nearest neighbor algorithm 1, Overview K-nearest neighbor algorithm, also known as KNN algorithm, is the simplest algorithm in data mining technology. Working principle of KNN: given a training dataset with known label category, after inputting new data without label, find K instances closest to the new data in the ...

1, NN Functional and NN Module Earlier, we introduced the structure operation of Pytorch's tensor and some common API s in mathematical operation. Using these tensor API s, we can construct neural network related components (such as activation function, model layer, loss function). Most of the functional components related to Pytorch and neu ...

explain According to the official website Working with documents , use transformers for fine tuning. I basically follow the documents. Note: the example on the official website basically saves the model or data set into the local cache through a line of code, but it needs to climb the wall. We can also download the model and data set locall ...

1, Generator (1) lamda python lambda function is also called anonymous function, that is, the function has no specific name. Compared with ordinary functions, lambda just omits the function name. At the same time, such anonymous functions cannot be shared and called elsewhere. In fact, you're right. Lambda really doesn't play an earth shaki ...

🔥 Medical microscopic image recognition of Mycobacterium tuberculosis based on paddedetection    this project uses PP-yolov2 to detect conjugated bacteria in sputum, so as to realize anomaly detection. Title reproduced from AI Studio Title item link https://aistudio.baidu.com/aistudio/projectdetail/3503450 I believe you will gain ...

Last DETR code learning notes (I) After recording the backbone of DETR and the part before the data enters the encoder, this article begins to introduce the transformer part of DETR, generally the transformer and Attention is All You Need  The proposed framework is basically consistent, but there are some differences in data. The first part is ...