Some error solving tips for seamless cloning and wrap affine transformation
I am trying to make an hair swapping application in python. I have successfully, extract out hair. However, it has not given satisfied result. But for the final part, I need to take hair image from sample head and put that in sample model image. For that, I use seamless cloning. Here's my code for it and final image:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
# Create an all white mask
mask = 255 * np.ones(obj.shape, obj.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(obj, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imwrite("normal-clone.jpg", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And from above, I get following result:
I know its not good looking, but the main problem here is when I use affine transformation for scaling and rotation purpose and then seamless cloning using following code:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
#Wrap Affine transformation
rows,cols,ch = obj.shape
pts1 = np.float32([[160,199],[250,54],[339,200]])
pts2 = np.float32([[151,196],[250,33],[347,196]])
M = cv2.getAffineTransform(pts1,pts2)
dst = cv2.warpAffine(obj,M,(cols,rows))
# Create an all white mask
mask = 255 * np.ones(dst.shape, dst.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(dst, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imshow("normal-clone", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And, I get following result:
I have another code written for those coordinate points generation. I will merge them later, so that, I do not have to input those coordinate points manually.
But for now, I want to know, why affine transformation affecting seamless cloning. What am I doing wrong??
Or, any solution for hair swapping will be appreciated.
python numpy opencv dlib affinetransform
edited Dec 27 '18 at 17:31
xeros
455
asked Dec 27 '18 at 15:38
Gkisi27
464
add a comment |
I am trying to make an hair swapping application in python. I have successfully, extract out hair. However, it has not given satisfied result. But for the final part, I need to take hair image from sample head and put that in sample model image. For that, I use seamless cloning. Here's my code for it and final image:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
# Create an all white mask
mask = 255 * np.ones(obj.shape, obj.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(obj, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imwrite("normal-clone.jpg", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And from above, I get following result:
I know its not good looking, but the main problem here is when I use affine transformation for scaling and rotation purpose and then seamless cloning using following code:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
#Wrap Affine transformation
rows,cols,ch = obj.shape
pts1 = np.float32([[160,199],[250,54],[339,200]])
pts2 = np.float32([[151,196],[250,33],[347,196]])
M = cv2.getAffineTransform(pts1,pts2)
dst = cv2.warpAffine(obj,M,(cols,rows))
# Create an all white mask
mask = 255 * np.ones(dst.shape, dst.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(dst, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imshow("normal-clone", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And, I get following result:
I have another code written for those coordinate points generation. I will merge them later, so that, I do not have to input those coordinate points manually.
But for now, I want to know, why affine transformation affecting seamless cloning. What am I doing wrong??
Or, any solution for hair swapping will be appreciated.
python numpy opencv dlib affinetransform
edited Dec 27 '18 at 17:31
xeros
455
asked Dec 27 '18 at 15:38
Gkisi27
464
add a comment |
I am trying to make an hair swapping application in python. I have successfully, extract out hair. However, it has not given satisfied result. But for the final part, I need to take hair image from sample head and put that in sample model image. For that, I use seamless cloning. Here's my code for it and final image:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
# Create an all white mask
mask = 255 * np.ones(obj.shape, obj.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(obj, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imwrite("normal-clone.jpg", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And from above, I get following result:
I know its not good looking, but the main problem here is when I use affine transformation for scaling and rotation purpose and then seamless cloning using following code:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
#Wrap Affine transformation
rows,cols,ch = obj.shape
pts1 = np.float32([[160,199],[250,54],[339,200]])
pts2 = np.float32([[151,196],[250,33],[347,196]])
M = cv2.getAffineTransform(pts1,pts2)
dst = cv2.warpAffine(obj,M,(cols,rows))
# Create an all white mask
mask = 255 * np.ones(dst.shape, dst.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(dst, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imshow("normal-clone", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And, I get following result:
I have another code written for those coordinate points generation. I will merge them later, so that, I do not have to input those coordinate points manually.
But for now, I want to know, why affine transformation affecting seamless cloning. What am I doing wrong??
Or, any solution for hair swapping will be appreciated.
python numpy opencv dlib affinetransform
edited Dec 27 '18 at 17:31
xeros
455
asked Dec 27 '18 at 15:38
Gkisi27
464
I am trying to make an hair swapping application in python. I have successfully, extract out hair. However, it has not given satisfied result. But for the final part, I need to take hair image from sample head and put that in sample model image. For that, I use seamless cloning. Here's my code for it and final image:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
# Create an all white mask
mask = 255 * np.ones(obj.shape, obj.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(obj, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imwrite("normal-clone.jpg", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And from above, I get following result:
I know its not good looking, but the main problem here is when I use affine transformation for scaling and rotation purpose and then seamless cloning using following code:
import cv2
import numpy as np
# Read images : src image will be cloned into dst
im = cv2.imread("source.jpg")
obj = cv2.imread("hair.jpg")
#Wrap Affine transformation
rows,cols,ch = obj.shape
pts1 = np.float32([[160,199],[250,54],[339,200]])
pts2 = np.float32([[151,196],[250,33],[347,196]])
M = cv2.getAffineTransform(pts1,pts2)
dst = cv2.warpAffine(obj,M,(cols,rows))
# Create an all white mask
mask = 255 * np.ones(dst.shape, dst.dtype)
# The location of the center of the src in the dst
width, height, channels = im.shape
center = (250, 115)
# Seamlessly clone src into dst and put the results in output
mixed_clone = cv2.seamlessClone(dst, im, mask, center, cv2.MIXED_CLONE)
# Write results
cv2.imshow("normal-clone", mixed_clone)
cv2.waitKey(0)
cv2.destroyAllWindows()
And, I get following result:
I have another code written for those coordinate points generation. I will merge them later, so that, I do not have to input those coordinate points manually.
But for now, I want to know, why affine transformation affecting seamless cloning. What am I doing wrong??
Or, any solution for hair swapping will be appreciated.
python numpy opencv dlib affinetransform
python numpy opencv dlib affinetransform
edited Dec 27 '18 at 17:31
xeros
455
asked Dec 27 '18 at 15:38
Gkisi27
464
edited Dec 27 '18 at 17:31
xeros
455
asked Dec 27 '18 at 15:38
Gkisi27
464
edited Dec 27 '18 at 17:31
xeros
455
edited Dec 27 '18 at 17:31
xeros
455
edited Dec 27 '18 at 17:31
xeros
455
455
asked Dec 27 '18 at 15:38
Gkisi27
464
asked Dec 27 '18 at 15:38
Gkisi27
464
asked Dec 27 '18 at 15:38
Gkisi27
464
464
add a comment |
add a comment |
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53947448%2fsome-error-solving-tips-for-seamless-cloning-and-wrap-affine-transformation%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53947448%2fsome-error-solving-tips-for-seamless-cloning-and-wrap-affine-transformation%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
