The images above were from the Kaggle’s dataset “Flowers Recognition” by Alexander. The title of each image consists its class name and index number in the dataset. This dataset contains 4242 images of flowers. The pictures are divided into five classes: daisy, tulip, rose, sunflower

通过简单的图片生成模型，了解GAN的工作过程 #coding=utf-8 from PIL import Image from keras.models import Sequential from keras.layers import Dense,Activation,BatchNormalization,Reshape,UpSampling2D,\ Conv2D,MaxPooling2D,Flatten import numpy as np from keras.optimizers import SGD from keras.datasets import mnist import math # 定义生成器模型 def Generator_model(): # 下面搭建生成器的架

点云配准是点云之间的变换估计问题，从优化的角度来看，它经历了很长的发展历史。最近，深度学习的成功极大地提高了配准的鲁棒性和效率。随着LiDA

1. Perlin Noise Perlin Noise is an extremely powerful algorithm that is used often in procedural content generation. It is especially useful for games and other visual media such as movies. Input x, y, z coordinates, and [x,y,z]%1 to find the coordinate’s location within the cube. on each of the 4 unit coordinates(for 2d), generate a pseudorandom gradient vector, and define a positive direction( in the direction that it points to).

1. DFT k表示每N个样本的循环次数； N表示信号的长度； $x_n$: 表示信号在样本n处的值。 $y_k$: 是一个复值，它给出了信号x中频率为k的正弦信号的信息；从$y_

From: https://juejin.cn/post/6891086750484004877#heading-8 新建相册页面 在站点的source文件夹下面新建一个gallery相册页面。 hexo new page gallery 打开新建的gallery文件夹，里面会有一个index