def main2D_3D_2D_LowResolution():
'''1. read origin obj and image'''
objPath = '../../github/vrn-07231340/obj/trump-12.obj'
objLines, vLines, fLines = readObj(objPath)
imgPath = '../../github/vrn-07231340/examples/scaled/trump-12.jpg'
img = cv2.imread(imgPath)
'''2. origin 2D landmark --> origin 3D landmark'''
''' BUT ONE 2D LANDMARK --> MORE THAN ONE 3D LANDMARK'''
''' HOW TO CHOOSE THE BEST ONE ?'''
''' OPTION 1: 选Z最大的3D landmark'''
'''2.1 origin 2D landmark [x, y]'''
originLandmark2DList = getLandmark2D(img)
'''2.2 origin 3D landmark list [[[x, y], [(line1, vLine1), (line2, vLine2)]], ... ]'''
originLandmark3DList = getLandmark3D(originLandmark2DList, vLines)
'''2.3 OPTION 1: 选Z最大的3D landmark'''
originLandmark3DList = optionChooseZMax(originLandmark3DList)
'''3. nod'''
nodAngle = 15
nodCenterMode = 'maxY'
nodedObjLines = nod(objPath, nodAngle, nodCenterMode)
'''4. noded 3D landmark list'''
'''nodedLandmark3DList: [[x0, y0], [x0, y0, z0], [x1, y1], [x1, y1, z1], (line, vLine)]'''
'''len(nodedLandmark3DList): number of landmarks both on 2D and 3D'''
'''[x0, y0]: original landmark on 2D img'''
'''[x0, y0, z0]: original landmark on 3D model'''
'''[x1, y1]: noded landmark on 2D img'''
'''[x1, y1, z1]: noded landmark on 3D model'''
'''(line, vLine): the line(th) noded vLine'''
nodedVLines = objLines2vLines(nodedObjLines)
nodedLandmark3DList = getNodedLandmark3D(nodedVLines, originLandmark3DList)
'''5. noded 3D landmark --> noded 2D landmark'''
nodedLandmark2D = []
for nodedLandmark3D in nodedLandmark3DList:
nodedLandmark2D.append(nodedLandmark3D[2])
nodedLandmark2D = addEdgeLandmark(nodedLandmark2D, img)
'''6. delaunay triangle for (origin landmarks which are both on 2D and 3D) + (eight edge points)'''
originLandmark2D = []
for nodedLandmark3D in nodedLandmark3DList:
originLandmark2D.append((nodedLandmark3D[0][0], nodedLandmark3D[0][1]))
originLandmark2D = addEdgeLandmark(originLandmark2D, img)
assert len(originLandmark2D) == len(nodedLandmark2D)
triList = generateTriList(originLandmark2D, img)
'''7. warp'''
imgMorph = morph_modify_for_2D3D2D_low_resolution(originLandmark2D,
nodedLandmark2D, img,
triList)
imshow('imgMorph', imgMorph)
cv2.imwrite('./noded.jpg', imgMorph)
def main2D_3D_2D_LR_Hair():
'''1. read origin obj and image'''
objPath = '../../github/vrn-07231340/obj/trump-12.obj'
objLines, vLines, fLines = readObj(objPath)
imgPath = '../../github/vrn-07231340/examples/scaled/trump-12.jpg'
img = cv2.imread(imgPath)
'''2. origin 2D landmark --> origin 3D landmark'''
''' BUT ONE 2D LANDMARK --> MORE THAN ONE 3D LANDMARK'''
''' HOW TO CHOOSE THE BEST ONE ?'''
''' OPTION 1: 选Z最大的3D landmark'''
'''2.1 origin 2D landmark [x, y]'''
originLandmark2DList = getLandmark2D(img)
'''2.2 origin 3D landmark list [[[x, y], [(line1, vLine1), (line2, vLine2)]], ... ]'''
originLandmark3DList = getLandmark3D(originLandmark2DList, vLines)
'''2.3 OPTION 1: 选Z最大的3D landmark'''
originLandmark3DList = optionChooseZMax(originLandmark3DList)
'''3. nod'''
nodAngle = 15
nodCenterMode = 'maxY'
nodObjLines = nod(objPath, nodAngle, nodCenterMode)
'''4. nod 3D landmark list'''
'''nodLandmark3DList: [[x0, y0], [x0, y0, z0], [x1, y1], [x1, y1, z1], (line, vLine)]'''
'''len(nodLandmark3DList): number of landmarks both on 2D and 3D'''
'''[x0, y0]: original landmark on 2D img'''
'''[x0, y0, z0]: original landmark on 3D model'''
'''[x1, y1]: nod landmark on 2D img'''
'''[x1, y1, z1]: nod landmark on 3D model'''
'''(line, vLine): the line(th) nod vLine'''
nodVLines = objLines2vLines(nodObjLines)
nodLandmark3DList = getNodLandmark3D(nodVLines, originLandmark3DList)
'''5. nod 3D landmark --> nod 2D landmark + 8 edge points'''
nodLandmark2D = []
for nodLandmark3D in nodLandmark3DList:
nodLandmark2D.append(nodLandmark3D[2])
nodLandmark2D = addEdgeLandmark(nodLandmark2D, img)
'''6. origin 2D landmarks + 8 edge points'''
originLandmark2D = []
for nodLandmark3D in nodLandmark3DList:
originLandmark2D.append((nodLandmark3D[0][0], nodLandmark3D[0][1]))
originLandmark2D = addEdgeLandmark(originLandmark2D, img)
assert len(originLandmark2D) == len(nodLandmark2D)
'''7. face 2D landmarks + hair 2D landmarks'''
# hairLandmark2DList, nodHairLandmark2DList = main2D_3D_2D_ManuallySelectHair()
hairLandmark2DList, nodHairLandmark2DList = main2D_3D_2D_LR_MeshHair()
'''7.1 origin face 2D landmarks + origin hair 2D landmarks'''
originLandmark2D = originLandmark2D+hairLandmark2DList
# drawPointsOnImg(originLandmark2D, img, 'g')
'''7.2 nod face 2D landmarks + nod hair 2D landmarks'''
nodLandmark2D = nodLandmark2D+nodHairLandmark2DList
# drawPointsOnImg(nodLandmark2D, img, 'r')
'''7.3 save origin and nod 2D landmarks txt'''
originLandmark2DTxtPath = './originLandmark2D.txt'
originLandmark2DTxt = open(originLandmark2DTxtPath, 'w')
for i in originLandmark2D:
originLandmark2DTxt.write('{} {}\n'.format(i[0], i[1]))
originLandmark2DTxt.close()
nodLandmark2DTxtPath = './nodLandmark2D.txt'
nodLandmark2DTxt = open(nodLandmark2DTxtPath, 'w')
for i in nodLandmark2D:
nodLandmark2DTxt.write('{} {}\n'.format(i[0], i[1]))
nodLandmark2DTxt.close()
'''8. delaunay triangle for [origin landmarks (face + hair)] + (eight edge points)'''
triList = generateTriList(originLandmark2D, img)
# print triList
'''8.1 save tri txt'''
triTxtPath = './nodTri.txt'
triTxt = open(triTxtPath, 'w')
for i in triList:
triTxt.write('{}\n'.format(i))
triTxt.close()
'''9. warp'''
imgMorph = morph_modify_for_2D3D2D_low_resolution(
originLandmark2D, nodLandmark2D, img, triList)
# imshow('imgMorph', imgMorph)
cv2.imwrite('./nod.jpg', imgMorph)