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nose.py
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nose.py
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#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Image deformation using moving least squares
@author: Jarvis ZHANG
@date: 2017/8/8
@editor: VS Code
"""
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
from img_utils import (mls_affine_deformation, mls_affine_deformation_inv,
mls_similarity_deformation, mls_similarity_deformation_inv,
mls_rigid_deformation, mls_rigid_deformation_inv)
def show_example():
img = plt.imread(os.path.join(sys.path[0], "testimage.jpg"))
plt.imshow(img)
plt.show()
def demo(fun, fun_inv, name):
p = np.array([
[ 81, 154],
[ 78, 177],
[ 79, 202],
[ 81, 226],
[ 88, 249],
[ 98, 270],
[115, 286],
[135, 298],
[157, 303],
[180, 301],
[201, 291],
[220, 276],
[235, 258],
[245, 236],
[251, 213],
[255, 190],
[257, 166],
[ 94, 131],
[107, 121],
[125, 120],
[143, 125],
[157, 134],
[186, 135],
[202, 129],
[219, 128],
[236, 132],
[247, 144],
[170, 154],
[168, 172],
#nose trip#
[167, 189],
[165, 206],
[145, 213],
[154, 217],
#end
[164, 222],
[174, 219],
[184, 216],
[111, 154],
[122, 149],
[135, 151],
[147, 160],
[133, 160],
[121, 159],
[192, 163],
[204, 156],
[216, 158],
[225, 164],
[216, 167],
[204, 166],
[124, 235],
[141, 234],
[154, 234],
[164, 237],
[175, 236],
[187, 238],
[201, 241],
[186, 250],
[173, 254],
[161, 254],
[151, 252],
[139, 246],
[130, 236],
[153, 241],
[163, 243],
[174, 242],
[195, 242],
[173, 243],
[162, 243],
[153, 241] ])
q = np.array([
[ 81, 154],
[ 78, 177],
[ 79, 202],
[ 81, 226],
[ 88, 249],
[ 98, 270],
[115, 286],
[135, 298],
[157, 303],
[180, 301],
[201, 291],
[220, 276],
[235, 258],
[245, 236],
[251, 213],
[255, 190],
[257, 166],
[ 94, 131],
[107, 121],
[125, 120],
[143, 125],
[157, 134],
[186, 135],
[202, 129],
[219, 128],
[236, 132],
[247, 144],
[170, 154],
[168, 172],
[167, 189],
[165, 206],
[145, 213],
[154, 217],
[164, 222],
[174, 219],
[184, 216],
[111, 154],
[122, 149],
[135, 151],
[147, 160],
[133, 160],
[121, 159],
[192, 163],
[204, 156],
[216, 158],
[225, 164],
[216, 167],
[204, 166],
[124, 235],
[141, 234],
[154, 234],
[164, 237],
[175, 236],
[187, 238],
[201, 241],
[186, 250],
[173, 254],
[161, 254],
[151, 252],
[139, 246],
[130, 236],
[153, 241],
[163, 243],
[174, 242],
[195, 242],
[173, 243],
[162, 243],
[153, 241]
])
image = plt.imread(os.path.join(sys.path[0], "testimage.jpg"))
plt.figure(figsize=(8, 6))
plt.subplot(231)
plt.axis('off')
plt.imshow(image)
plt.title("Original Image")
if fun is not None:
transformed_image = fun(image, p, q, alpha=1, density=1)
plt.subplot(232)
plt.axis('off')
plt.imshow(transformed_image)
plt.title("%s Deformation \n Sampling density 1"%name)
transformed_image = fun(image, p, q, alpha=1, density=0.7)
plt.subplot(235)
plt.axis('off')
plt.imshow(transformed_image)
plt.title("%s Deformation \n Sampling density 0.7"%name)
if fun_inv is not None:
transformed_image = fun_inv(image, p, q, alpha=1, density=1)
plt.subplot(233)
plt.axis('off')
plt.imshow(transformed_image)
plt.title("Inverse %s Deformation \n Sampling density 1"%name)
transformed_image = fun_inv(image, p, q, alpha=1, density=0.7)
plt.subplot(236)
plt.axis('off')
plt.imshow(transformed_image)
plt.title("Inverse %s Deformation \n Sampling density 0.7"%name)
plt.tight_layout(w_pad=0.1)
plt.show()
def demo2(fun):
'''
Smiled Monalisa
'''
p = np.array([
[ 81, 154],
[ 78, 177],
[ 79, 202],
[ 81, 226],
[ 88, 249],
[ 98, 270],
[115, 286],
[135, 298],
[157, 303],
[180, 301],
[201, 291],
[220, 276],
[235, 258],
[245, 236],
[251, 213],
[255, 190],
[257, 166],
[ 94, 131],
[107, 121],
[125, 120],
[143, 125],
[157, 134],
[186, 135],
[202, 129],
[219, 128],
[236, 132],
[247, 144],
[170, 154],
[168, 172],
#nose trip
[167, 200],
[165, 210],
[145, 220],
[154, 220],
#end
[164, 222],
[174, 219],
[184, 216],
[111, 154],
[122, 149],
[135, 151],
[147, 160],
[133, 160],
[121, 159],
[192, 163],
[204, 156],
[216, 158],
[225, 164],
[216, 167],
[204, 166],
[124, 235],
[141, 234],
[154, 234],
[164, 237],
[175, 236],
[187, 238],
[201, 241],
[186, 250],
[173, 254],
[161, 254],
[151, 252],
[139, 246],
[130, 236],
[153, 241],
[163, 243],
[174, 242],
[195, 242],
[173, 243],
[162, 243],
[153, 241]
])
q = np.array([
[ 81, 154],
[ 78, 177],
[ 79, 202],
[ 81, 226],
[ 88, 249],
[ 98, 270],
[115, 286],
[135, 298],
[157, 303],
[180, 301],
[201, 291],
[220, 276],
[235, 258],
[245, 236],
[251, 213],
[255, 190],
[257, 166],
[ 94, 131],
[107, 121],
[125, 120],
[143, 125],
[157, 134],
[186, 135],
[202, 129],
[219, 128],
[236, 132],
[247, 144],
[170, 154],
[168, 172],
#nose trip
[160, 190],
[160, 210],
[140, 220],
[150, 220],
#end
[164, 222],
[174, 219],
[184, 216],
[111, 154],
[122, 149],
[135, 151],
[147, 160],
[133, 160],
[121, 159],
[192, 163],
[204, 156],
[216, 158],
[225, 164],
[216, 167],
[204, 166],
[124, 235],
[141, 234],
[154, 234],
[164, 237],
[175, 236],
[187, 238],
[201, 241],
[186, 250],
[173, 254],
[161, 254],
[151, 252],
[139, 246],
[130, 236],
[153, 241],
[163, 243],
[174, 242],
[195, 242],
[173, 243],
[162, 243],
[153, 241]
])
image = plt.imread(os.path.join(sys.path[0], "testimage.jpg"))
plt.subplot(121)
plt.axis('off')
plt.imshow(image)
transformed_image = fun(image, p, q, alpha=1, density=1)
plt.subplot(122)
plt.axis('off')
plt.imshow(transformed_image)
plt.tight_layout(w_pad=1.0, h_pad=1.0)
plt.show()
if __name__ == "__main__":
#affine deformation
#demo(mls_affine_deformation, mls_affine_deformation_inv, "Affine")
#demo2(mls_affine_deformation_inv)
#similarity deformation
#demo(mls_similarity_deformation, mls_similarity_deformation_inv, "Similarity")
#demo2(mls_similarity_deformation_inv)
#rigid deformation
#demo(mls_rigid_deformation, mls_rigid_deformation_inv, "Rigid")
demo2(mls_rigid_deformation_inv)