Programmer Think

Team Introduction The name of our team is Baseline. Because we share Baseline, we call our team Baseline. Captain: Fang Xi is from Shanghai Jiaotong University, the third graduate student. Team member: LV Xiaoxin from Netease, AI Engineer Team member: Wang Hao is from Beijing Xinghe bright spot, software R & D Team member: Yang Xinda i ...

pytorch data operation Getting started and building data Guide Package import torch Create a row vector (a special tensor) What is a tensor: a tensor represents an array of values that may have multiple dimensions. A tensor with one axis corresponds to a vector in mathematics; A tensor with two axes corresponds to a mathematical matrix; Te ...

Project introduction Federated learning algorithm is used to classify emnist data sets. First of all, we should clarify a knowledge point, which is the modifier @ TFF tf_ Calculation and @ TFF federated_ The difference between computation: tensorflow_ The federated (TFF) operation deals with federated values;Each Federation value has a f ...

Source: https://blog.csdn.net/xiao_lxl/article/details/85047103 YOLO v3 configuration Get the YOLO v3 installation file and compile it git clone https://github.com/pjreddie/darknet cd darknet make 123 Download the trained YOLO v3 model wget https://pjreddie.com/media/files/yolov3.weights 1 Detection ef ...

The code reproduction has been completed before, and I will also part in Shanghai tech_ A_ Final and part_ B_ The final dataset results came out. Now do a detailed interpretation of the code to deepen your understanding. If there is anything wrong, please give us more advice!! (this article has read this paper by default and has a certain under ...

be careful: 1. All the articles in this series are mainly developed by the gradient lifting tree model. The extracted features are mainly to help the gradient lifting tree model mine the information it can't mine. All the features introduced in this paper can be directly added to the model as features, which is slightly different from the stra ...

Template matching method Directional template method is a method proposed by Hu bin and others to detect the fringe center of structured light by using variable directional template. It is an improved algorithm based on gray center of gravity method [5]. When the linear structured light is projected onto the rough object material surface, ...

1. Steps in the training module Training modules are generally saved in train Py, which generally includes the following steps: Import various modules (standard library, third-party library, CV, torch, torch vision), if in model Py (self defined network model file), loss Py (custom loss function), utils Py (various customized methods), config ...

Characteristic engineering concept: Feature engineering transforms raw data into more representative data prediction model The process of features of potential problems can be realized by selecting the most relevant features, extracting features and creating features. Among them, feature creation is often realized by dimension reduction algor ...

The algorithm from Shang Tang is used for KIE and integrated in mmocr package. It needs to be used together with mmcv. Aside from the topic, mmcv uses hook programming, which is still very difficult to debug. I'll share the framework logic of mmcv when I'm free in the future. model structure The whole structure can be divided into three ...