Why does vgg.prepare() method create 9 copies of the given image?
up vote
1
down vote
favorite
I get this result when I apply vgg.prepare() to the following image:
I use this line of code:
Image.fromarray(np.uint8(vgg.prepare(pep).reshape(224,224,3)))
And get an image which is combined of 9 copies of the given image:
python image pre-trained-model chainer vgg-net
asked Nov 12 at 7:32
saman jahangiri
377
add a comment |
up vote
1
down vote
favorite
I get this result when I apply vgg.prepare() to the following image:
I use this line of code:
Image.fromarray(np.uint8(vgg.prepare(pep).reshape(224,224,3)))
And get an image which is combined of 9 copies of the given image:
python image pre-trained-model chainer vgg-net
asked Nov 12 at 7:32
saman jahangiri
377
Can you share how did you instantiatevggandpep?
– corochann
Nov 12 at 8:02
1
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg")andfrom chainer.links.model.vision import vgg
– saman jahangiri
Nov 12 at 8:09
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I get this result when I apply vgg.prepare() to the following image:
I use this line of code:
Image.fromarray(np.uint8(vgg.prepare(pep).reshape(224,224,3)))
And get an image which is combined of 9 copies of the given image:
python image pre-trained-model chainer vgg-net
asked Nov 12 at 7:32
saman jahangiri
377
I get this result when I apply vgg.prepare() to the following image:
I use this line of code:
Image.fromarray(np.uint8(vgg.prepare(pep).reshape(224,224,3)))
And get an image which is combined of 9 copies of the given image:
python image pre-trained-model chainer vgg-net
python image pre-trained-model chainer vgg-net
asked Nov 12 at 7:32
saman jahangiri
377
asked Nov 12 at 7:32
saman jahangiri
377
asked Nov 12 at 7:32
saman jahangiri
377
asked Nov 12 at 7:32
saman jahangiri
377
asked Nov 12 at 7:32
saman jahangiri
377
377
Can you share how did you instantiatevggandpep?
– corochann
Nov 12 at 8:02
1
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg")andfrom chainer.links.model.vision import vgg
– saman jahangiri
Nov 12 at 8:09
add a comment |
Can you share how did you instantiatevggandpep?
– corochann
Nov 12 at 8:02
1
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg")andfrom chainer.links.model.vision import vgg
– saman jahangiri
Nov 12 at 8:09
Can you share how did you instantiate
vgg and pep?– corochann
Nov 12 at 8:02
Can you share how did you instantiate
vgg and pep?– corochann
Nov 12 at 8:02
1
1
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg") and from chainer.links.model.vision import vgg– saman jahangiri
Nov 12 at 8:09
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg") and from chainer.links.model.vision import vgg– saman jahangiri
Nov 12 at 8:09
add a comment |
1 Answer
1
active
oldest
votes
up vote
2
down vote
accepted
I finally got what you did...
the only mistake is .reshape.
Because the image is transposed, not reshaped, you have to re-transpose to restore the original image.
pep = pep.transpose((1, 2, 0)) # transpose
pep += [103.939, 116.779, 123.68] # un-normalize
pep = pep.astype(np.uint8) # revert dtype
pep = np.flip(pep, axis=2) # BGR -> RGB
PIL_image = Image.fromarray(pep) # finally got the original!
answered Nov 13 at 1:49
Yuki Hashimoto
3057
add a comment |
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',
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%2f53257608%2fwhy-does-vgg-prepare-method-create-9-copies-of-the-given-image%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
I finally got what you did...
the only mistake is .reshape.
Because the image is transposed, not reshaped, you have to re-transpose to restore the original image.
pep = pep.transpose((1, 2, 0)) # transpose
pep += [103.939, 116.779, 123.68] # un-normalize
pep = pep.astype(np.uint8) # revert dtype
pep = np.flip(pep, axis=2) # BGR -> RGB
PIL_image = Image.fromarray(pep) # finally got the original!
answered Nov 13 at 1:49
Yuki Hashimoto
3057
add a comment |
up vote
2
down vote
accepted
I finally got what you did...
the only mistake is .reshape.
Because the image is transposed, not reshaped, you have to re-transpose to restore the original image.
pep = pep.transpose((1, 2, 0)) # transpose
pep += [103.939, 116.779, 123.68] # un-normalize
pep = pep.astype(np.uint8) # revert dtype
pep = np.flip(pep, axis=2) # BGR -> RGB
PIL_image = Image.fromarray(pep) # finally got the original!
answered Nov 13 at 1:49
Yuki Hashimoto
3057
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
I finally got what you did...
the only mistake is .reshape.
Because the image is transposed, not reshaped, you have to re-transpose to restore the original image.
pep = pep.transpose((1, 2, 0)) # transpose
pep += [103.939, 116.779, 123.68] # un-normalize
pep = pep.astype(np.uint8) # revert dtype
pep = np.flip(pep, axis=2) # BGR -> RGB
PIL_image = Image.fromarray(pep) # finally got the original!
answered Nov 13 at 1:49
Yuki Hashimoto
3057
I finally got what you did...
the only mistake is .reshape.
Because the image is transposed, not reshaped, you have to re-transpose to restore the original image.
pep = pep.transpose((1, 2, 0)) # transpose
pep += [103.939, 116.779, 123.68] # un-normalize
pep = pep.astype(np.uint8) # revert dtype
pep = np.flip(pep, axis=2) # BGR -> RGB
PIL_image = Image.fromarray(pep) # finally got the original!
answered Nov 13 at 1:49
Yuki Hashimoto
3057
answered Nov 13 at 1:49
Yuki Hashimoto
3057
answered Nov 13 at 1:49
Yuki Hashimoto
3057
answered Nov 13 at 1:49
Yuki Hashimoto
3057
3057
add a comment |
add a comment |
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%2f53257608%2fwhy-does-vgg-prepare-method-create-9-copies-of-the-given-image%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
Can you share how did you instantiate
vggandpep?– corochann
Nov 12 at 8:02
1
pep=Image.open("/Users/macintosh/Desktop/Code/sngan_projection-master/images/red_pepper.jpg")andfrom chainer.links.model.vision import vgg– saman jahangiri
Nov 12 at 8:09