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Python face recognition library_ Recognition tutorial face_recognition is known as the simplest open source face recognition library in the world, which can recognize and operate faces through Python or command line. face_recognition provides very complete technical documents and application examples. Beginners of face recognition recommend st ...

2021 the first Hehuang cup data Lake algorithm competition in Qinghai Province - vehicle multi-attribute recognition track preliminary baseline (Unofficial) Link from AI Studio project https://aistudio.baidu.com/aistudio/projectdetail/3511579 1, Event background At present, China's digital economy is developing by leaps and bounds, and remar ...

1. GAN introduction GAN (generative advantageous networks) is a network proposed by Ian J. Goodfellow and others at the 2014 nips conference. They proposed a new framework for estimating generative models using confrontation processing. The framework can train two models at the same time: one is generative model G (Generator generator Gene ...

Activation function: The principle of activation layer is to add nonlinear activation function after the output of other layers to increase the nonlinear ability of the network and improve the ability of neural network to fit complex functions. The selection of activation function is very important for the training of neural network. The commo ...

Convolutional neural network UNET learning Video portal (entrance of station B) nn.Sequential As an ordered container, the neural network module will be added to the calculation diagram in the order of the incoming constructor. At the same time, the ordered dictionary with the neural network module as the element can also be used as the inco ...

reasoning This section is the last section of the initial tutorial. In order to better adapt to different reasoning devices, reasoning is divided into 1) shengteng AI processor reasoning and 2) mobile device reasoning. Shengteng AI processor reasoning 1 Overview Ascend AI processor is an energy-efficient and highly integrated AI processor f ...

GAN animation character avatar generation 1. Introduction A simple DCGAN network is built to generate the avatars of animation characters. The avatar data set of animation characters is taken from kaggle, and the website is as follows link 2. Network structure data setgenerator Discriminator 2.1 data set The data size is 64x64x3, and the ...

The implementation and explanation of PointPillars' paper and training code have been analyzed in detail in the previous article. Please refer to the previous blog: PointPillars paper analysis and OpenPCDet code analysis_ Nnnathan blog - CSDN blog. This blog will analyze the reasoning code of PointPillars model in OpenPCDet in detail and test ...

import numpy as np import matplotlib.pyplot as plt import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torch.utils.data import Dataset,DataLoader import h5py import glob import os import json from tqdm import tqdm import sys import open3d as o3d Written in the front, the directory structure of ...

·Reading summary:   this paper proposes a classical Seq2Seq model, which is applied to the field of machine translation. However, Seq2Seq is applicable to many fields, such as multi label text classification. ·References:   [1] Sequence to Sequence Learning with Neural Networks [Note 1]: the Seq2Seq model proposed in th ...