def fourier():
app_path = ppath("sci/fourier_app.py")
os.system(f"streamlit run {app_path}")
def geo():
file_path = ppath("geo/compose.py")
os.system(f"python {file_path}")
def lorenz():
app_path = ppath("app/compose/anim_demo.py")
os.system(f"streamlit run {app_path}")
def sawtooth():
file_path = ppath("app/compose/slider.py")
os.system(f"python {file_path}")
import numpy, imageio, elasticdeform
import numpy as np
from guang.Utils.toolsFunc import ppath
import imageio
from guang.cv import imgplot
# https://github.com/tueimage/gryds
import guang.cv.imageDeformation.gryds as gryds
original_image = imageio.imread(ppath('../data/pikaqiu.jpg'))
image = original_image.copy()[:, :, 0]
interpolator = gryds.Interpolator(image) # 生成一个图像的插值对象
# -------------------------------------平移----------------------------------------
# 执行一个变换，让图像相左移动 10%，即让 *所有的列* 全部减去 *图像宽度* 的10% :
a_translation = gryds.TranslationTransformation([0., 0.1]) # [行，列]
translated_image = interpolator.transform(a_translation) # 对这个插值对象应用一个变换
imgplot(translated_image, [1, 3, 1], 'gray')
# -------------------------------------任意扭曲----------------------------------------
sp_shape = (7, 7)
x = np.linspace(0, np.pi, sp_shape[0])
warp1, warp2 = np.meshgrid(np.zeros(sp_shape[0]), np.sin(x) / 5 - 0.2)
bspline = gryds.BSplineTransformation([warp1, warp2]) # 行偏移为0， 列偏移为sin函数性质
translated_image = interpolator.transform(bspline) # 对这个插值对象应用一个变换
imgplot(translated_image, [1, 3, 2])
imgplot(warp2, [1, 3, 3], show=True)