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In this tutorial, we are going to learn how to crop the width in a cloned image using FabricJS. We can create an Image object by creating an instance of fabric.Image. Since it is one of the basic elements of FabricJS, we can also easily customize it by applying properties like angle, opacity etc. In order to crop the width in a cloned image, we use the width property
Syntax cloneAsImage( callback: function, { width: Number}: Object): fabric.Object Parameters
callback (optional) − This parameter is a function which is to be invoked with a cloned image instance as the first argument.
options (optional) − This parameter is an optional Object which provides additional customizations to our clone image. Using this parameter we can set a multiplier, crop the clone image, remove the current object transform or a lot of other properties can be changed of which width is a property.
Options Keys
width − This property accepts a Number value which denotes the cropping width. This property is optional.
Without using the width property ExampleLet’s see a code example of how the cloned Image object appears when the width property is not used. In this case, the cloned image will not be cropped.
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
shadow
=
new
fabric
.
Shadow
(
{
color
:
“#308080”
,
blur
:
3
,
}
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
110
,
skewX
:
20
,
shadow
:
shadow
,
}
)
;
image
.
cloneAsImage
(
function
(
Img
)
{
Img
.
set
(
“top”
,
150
)
;
canvas
.
add
(
Img
)
;
}
)
;
Using the width property ExampleIn this example, we have used the width property and passed it a value 245 which is the cropping width. Therefore, that width will be cropped.
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
shadow
=
new
fabric
.
Shadow
(
{
color
:
“#308080”
,
blur
:
3
,
}
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
110
,
skewX
:
20
,
shadow
:
shadow
,
}
)
;
image
.
cloneAsImage
(
function
(
Img
)
{
Img
.
set
(
“top”
,
150
)
;
Img
.
set
(
“left”
,
150
)
;
canvas
.
add
(
Img
)
;
}
,
{
width
:
245
,
}
)
;
You're reading How To Crop The Width In A Cloned Image Using Fabricjs?
How To Set The Padding Of Image Using Fabricjs?
In this tutorial, we are going to learn how to set the padding of Image using FabricJS. We can create an Image object by creating an instance of fabric.Image. Since it is one of the basic elements of FabricJS, we can also easily customize it by applying properties like angle, opacity etc. In order to set the padding of Image, we use the padding property.
Syntax Parameters
element − This parameter accepts HTMLImageElement, HTMLCanvasElement, HTMLVideoElement or String which denotes the image element. The String should be a URL and would be loaded as an image.
options (optional) − This parameter is an Object which provides additional customizations to our object. Using this parameter origin, stroke width and a lot of other properties can be changed related to the image object of which padding is a property.
callback (optional) − This parameter is a function which is to be called after eventual filters are applied.
Options Keys
padding − This property accepts a Number value which denotes the padding between an object and its controlling borders.
Default appearance of Image object when padding property is not used ExampleLet’s see a code example to understand how the Image object appears when the padding property is not used.
Default appearance
of
Image object when padding property is not used You can select the image object to see that there is no padding between the object and its controlling borders
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
50
,
stroke
:
“green”
,
strokeWidth
:
5
,
}
)
;
canvas
.
add
(
image
)
;
Passing padding property as key ExampleIn this example, we are assigning a value to the padding property. In this case, we have assigned it a value of 15. Therefore, there is 15px padding in between the image object and its controlling borders.
You can select the image object to see that there is
15
px padding between the object and its controlling borders
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
50
,
stroke
:
“green”
,
strokeWidth
:
5
,
padding
:
15
,
}
)
;
canvas
.
add
(
image
)
;
How To Straighten An Image With Animation Using Fabricjs?
In this tutorial, we are going to learn how to straighten an Image with animation using FabricJS. We can create an Image object by creating an instance of fabric.Image. Since it is one of the basic elements of FabricJS, we can also easily customize it by applying properties like angle, opacity etc. In order to straighten an Image with animation, we use the fxStraighten method.
Syntax fxStraighten(callbacks: Object): fabric.Object Parameters
callbacks − This parameter is an Object with callback functions which can be used to change certain properties related to the animation.
Using the straighten method ExampleLet’s see a code example of how the Image object appears when the straighten method is used instead of fxstraighten. This will help us to realize the difference between them. The straighten method simply straightens the object rotating it from its current angle to 0, 90,180, 270 etc depending on which one is closer. However, fxstraighten works in the same way but with animation.
You can see that there is no animation but the image has been straightened
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
10
,
left
:
110
,
skewX
:
15
,
angle
:
45
,
}
)
;
canvas
.
add
(
image
)
;
image
.
straighten
(
)
;
Using the fxstraighten method ExampleIn this example, we have used the fxstraighten method to straighten the image object and also display a simple animation. The image object has a 45 degree angle which gets straightened by rotating back to 0 degree. Along with this, the onChange function is invoked at every step of the animation while the onComplete function is invoked only at the completion of the animation which is why in the end, our image object is scaled horizontally by a factor of 1.5 and moves to the left by value of 130.
You can see that the image gets straightened
while
also displaying an animation
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
10
,
left
:
110
,
skewX
:
15
,
angle
:
45
,
}
)
;
canvas
.
add
(
image
)
;
image
.
fxStraighten
(
{
onChange
(
)
{
canvas
.
renderAll
(
)
;
}
,
onComplete
(
)
{
image
.
set
(
“left”
,
130
)
;
image
.
set
(
“scaleX”
,
1.5
)
;
canvas
.
renderAll
(
)
;
}
,
}
)
;
How To Crop An Image In Mac Os X With Preview
Cropping is an essential image editing function, helping to improve composition of a photo, to emphasize the focus of an image, or to reduce unnecessary parts of a picture. While many Mac users use third party tools to perform image cropping, no additional apps are needed to perform the task in OS X, because the bundled and under-appreciated Preview tool has crop functionality built right in to its editing toolset.
To try this yourself, you’ll want to have an image handy that you can crop down, and just about any version of Mac OS X. The rest of the process is very simple and can be done quite fast, particularly once you learn how to use the tools and master some keyboard shortcuts.
Cropping a Picture with Preview in Mac OS X
Open the image file you want to crop into the Preview app in Mac OS X
Now choose the “Rectangular Selection” tool, it’s usually set by default but you can double-check this by choosing it from the left-most pulldown menu of the Editor Toolbar
Draw the desired rectangle on the image to the region of the picture you wish to crop
Go to the “File” menu and choose “Save” or “Save As” as desired to save the cropped version of the image
See, that was easy right? You now have a cropped image. You can draw the rectangular selector to whatever size you want and the crop function will take care of the rest.
The video walkthrough below demonstrates cropping an image from this wallpaper post:
Remember that by doing this you’re also indirectly resizing an image by reducing the total amount of pixels contained in the image file, but unlike the bulk resize functions you can not crop in a similar bulk fashion with groups of images in Preview because it requires a unique selection.
Cropping Images Faster in Preview with Keyboard ShortcutsYou can even speed up the cropping process by using keyboard shortcuts throughout the task, here is basically the same process as started from the Finder. This is an efficient trick to use if you plan on using the crop function often and want to speed things up:
Select the image to crop in the Finder then hit Command+O to open it in Preview (assuming Preview is the default image viewer application)
The selector tool should be immediately active and visible by default with a picture open, so draw the rectangular selection around the region to crop down as usual
Now hit Command+K to crop the image
Finally, hit Command+S to save the cropped picture
Memorizing the simple keyboard shortcuts used in this task can make the cropping process extremely fast, and combined with the general speed and efficiency of Preview app it’s usually much faster to go this route than opening images in Photoshop or Pixelmator.
The markup tools,
The Preview app of OS X includes a myriad of image editing functions and conversion functions that are largely overlooked and underused, so if you’re just learning to use the Preview app for simple photo modifications and editing, crop is a great place to start.
Of course this is limited to the Mac, but for users on the mobile side of things there is no Preview application to be found on the iPhone or iPad, so instead users can find the Photos app supports cropping photos in iOS very easily with a similar selector tool, or use third party tools as well.
Related
A Beginners’ Guide To Image Similarity Using Python
If you believe that our Test Image is similar to our first reference image you are right. If you do believe otherwise then let’s find out together with the power of mathematics and programming.
Every image is stored in our computer in the form of numbers and a vector of such numbers that can completely describe our image is known as an Image Vector.
Euclidean Distance:
Euclidean Distance represents the distance between any two points in an n-dimensional space. Since we are representing our images as image vectors they are nothing but a point in an n-dimensional space and we are going to use the euclidean distance to find the distance between them.
Histogram:A histogram is a graphical display of numerical values. We are going to use the image vector for all three images and then find the euclidean distance between them. Based on the values returned the image with a lesser distance is more similar than the other.
To find the similarity between the two images we are going to use the following approach :
Read the image files as an array.
Since the image files are colored there are 3 channels for RGB values. We are going to flatten them such that each image is a single 1-D array.
Once we have our image files as an array we are going to generate a histogram for each image where for each index 0 – 255 we are going the count the occurrence of that pixel value in the image.
Once we have our histograms we are going to use the L2-Norm or Euclidean Distance to find the difference the two histograms.
Based on the distance between the histogram of our test image and the reference images we can find the image our test image is most similar to.
Coding for Image Similarity in Python Import the dependencies we are going to use from PIL import Image from collections import Counter import numpy as npWe are going to use NumPy for storing the image as a NumPy array, Image to read the image in terms of numerical values and Counter to count the number of times each pixel value (0-255) occurs in the images.
Reading the Image
We can see that out image has been successfully read as a 3-D array. In the next step, we need to flatten this 3-D array into a 1-Dimensional array.
flat_array_1 = array1.flatten() print(np.shape(flat_array_1)) >>> (245760, )We are going to do the same steps for the other two images. I will skip that here so that you can try your hands on it too.
Generating the Count-Histogram-Vector : RH1 = Counter(flat_array_1)The following line of code returns a dictionary where the key corresponds to the pixel value and the value of the key is the number of times that pixel is present in the image.
One limitation of Euclidean distance is that it requires all the vectors to be normalized i.e both the vectors need to be of the same dimensions. To ensure that our histogram vector is normalized we are going to use a for loop from 0-255 and generate our histogram with the value of the key if the key is present in the image else we append a 0.
H1 = [] for i in range(256): if i in RH1.keys(): H1.append(RH1[i]) else: H1.append(0)The above piece of code generates a vector of size (256, ) where each index corresponds to the pixel value and the value corresponds to the count of the pixel in that image.
We follow the same steps for the other two images and obtain their corresponding Count-Histogram-Vectors. At this point we have our final vectors for both the reference images and the test image and all we need to do is calculate the distances and predict.
Euclidean Distance Function : def L2Norm(H1,H2): distance =0 for i in range(len(H1)): distance += np.square(H1[i]-H2[i]) return np.sqrt(distance)The above function takes in two histograms and returns the euclidean distance between them.
Evaluation :Since we have everything we need to find the image similarities let us find out the distance between the test image and our first reference image.
dist_test_ref_1 = L2Norm(H1,test_H) print("The distance between Reference_Image_1 and Test Image is : {}".format(dist_test_ref_1)) >>> The distance between Reference_Image_1 and Test Image is : 9882.175468994668Let us now find out the distance between the test image and our second reference image.
dist_test_ref_2 = L2Norm(H2,test_H) print("The distance between Reference_Image_2 and Test Image is : {}".format(dist_test_ref_2)) >>> The distance between Reference_Image_2 and Test Image is : 137929.0223122023How Would I Crop A Html Iframe?
Syntax
For getting better understanding on how would I crop a HTML iframe, let’s look into the following examples.
ExampleIn the following, we are using the div, making our iframe get cropped, and making no scroll of the iframe display its output.
When the script gets executed, it will generate an output consisting of an iframe that was cropped and gets embedded on the webpage without a scrollable option.
ExampleConsider the following example, where we are using the div class and CSS for the iframe to make it crop and display its output.
iframe { position: fixed; top: -40px; left: 0; bottom: 0; right: 0; width: 65%; height: 70%; border: none; margin: 0; padding: 0; overflow: hidden; z-index: 999999; }
On running the above script, the output window will pop up, displaying the iframe that gets cropped and displayed on the webpage with scrolling.
ExampleExecute the below code and observe how we are going to crop the iframe by running the script and setting scrollable to no.
body { margin: 0; padding: 0; height: 100vh; } h1 { font-family: Impact, sans-serif; color: #8E44AD; } iframe { width: 1024px; height: calc(100vh – 300px); overflow: hidden; margin: 0 auto; border: none; } let tutorial = 0; let element = document.getElementById(‘tutorial’); while (element.nodeName !== ‘IFRAME’) { tutorial += element.offsetHeight; element = element.nextElementSibling; } tutorial = window.innerHeight – tutorial – 100; document.querySelector(‘iframe’).style.height = tutorial + ‘px’; Output
When the script is run, it will generate an output that includes text as well as an iframe that has been cropped, reducing the scrollable to no.
Update the detailed information about How To Crop The Width In A Cloned Image Using Fabricjs? on the Minhminhbmm.com website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!