图像操作
rotate¶
Rotate the output image by either an explicit angle
or auto-orient based on the EXIF Orientation tag.
If an angle is provided, it is converted to a valid 90/180/270deg rotation.
For example, -450 will produce a 270deg rotation.
If no angle is provided, it is determined from the EXIF data. Mirroring is supported and may infer the use of a flip operation.
The use of rotate implies the removal of the EXIF Orientation tag, if any.
Method order is important when both rotating and extracting regions,
for example rotate(x).extract(y) will produce a different result to extract(y).rotate(x).
参数
angleNumber angle of rotation, must be a multiple of 90. (optional, defaultauto)
示例
const pipeline = sharp()
.rotate()
.resize(null, 200)
.toBuffer(function (err, outputBuffer, info) {
// outputBuffer contains 200px high JPEG image data,
// auto-rotated using EXIF Orientation tag
// info.width and info.height contain the dimensions of the resized image
});
readableStream.pipe(pipeline);
- Throws Error Invalid parameters
返回 Sharp
extract¶
Extract a region of the image.
- Use
extractbeforeresizefor pre-resize extraction. - Use
extractafterresizefor post-resize extraction. - Use
extractbefore and after for both.
参数
optionsObject
示例
sharp(input)
.extract({ left: left, top: top, width: width, height: height })
.toFile(output, function(err) {
// Extract a region of the input image, saving in the same format.
});
sharp(input)
.extract({ left: leftOffsetPre, top: topOffsetPre, width: widthPre, height: heightPre })
.resize(width, height)
.extract({ left: leftOffsetPost, top: topOffsetPost, width: widthPost, height: heightPost })
.toFile(output, function(err) {
// Extract a region, resize, then extract from the resized image
});
- Throws Error Invalid parameters
返回 Sharp
flip¶
Flip the image about the vertical Y axis. This always occurs after rotation, if any.
The use of flip implies the removal of the EXIF Orientation tag, if any.
参数
flipBoolean (optional, defaulttrue)
返回 Sharp
flop¶
Flop the image about the horizontal X axis. This always occurs after rotation, if any.
The use of flop implies the removal of the EXIF Orientation tag, if any.
参数
flopBoolean (optional, defaulttrue)
返回 Sharp
sharpen¶
Sharpen the image.
When used without parameters, performs a fast, mild sharpen of the output image.
When a sigma is provided, performs a slower, more accurate sharpen of the L channel in the LAB colour space.
Separate control over the level of sharpening in "flat" and "jagged" areas is available.
参数
sigmaNumber? the sigma of the Gaussian mask, wheresigma = 1 + radius / 2.flatNumber the level of sharpening to apply to "flat" areas. (optional, default1.0)-
jaggedNumber the level of sharpening to apply to "jagged" areas. (optional, default2.0) -
Throws Error Invalid parameters
返回 Sharp
blur¶
Blur the image.
When used without parameters, performs a fast, mild blur of the output image.
When a sigma is provided, performs a slower, more accurate Gaussian blur.
参数
-
sigmaNumber? a value between 0.3 and 1000 representing the sigma of the Gaussian mask, wheresigma = 1 + radius / 2. -
Throws Error Invalid parameters
返回 Sharp
extend¶
Extends/pads the edges of the image with the colour provided to the background method.
This operation will always occur after resizing and extraction, if any.
参数
示例
// Resize to 140 pixels wide, then add 10 transparent pixels
// to the top, left and right edges and 20 to the bottom edge
sharp(input)
.resize(140)
.background({r: 0, g: 0, b: 0, alpha: 0})
.extend({top: 10, bottom: 20, left: 10, right: 10})
...
- Throws Error Invalid parameters
返回 Sharp
flatten¶
Merge alpha transparency channel, if any, with background.
参数
flattenBoolean (optional, defaulttrue)
返回 Sharp
trim¶
Trim "boring" pixels from all edges that contain values within a percentage similarity of the top-left pixel.
参数
-
toleranceNumber value between 1 and 99 representing the percentage similarity. (optional, default10) -
Throws Error Invalid parameters
返回 Sharp
gamma¶
Apply a gamma correction by reducing the encoding (darken) pre-resize at a factor of 1/gamma
then increasing the encoding (brighten) post-resize at a factor of gamma.
This can improve the perceived brightness of a resized image in non-linear colour spaces.
JPEG and WebP input images will not take advantage of the shrink-on-load performance optimisation
when applying a gamma correction.
参数
返回 Sharp
negate¶
Produce the "negative" of the image.
参数
negateBoolean (optional, defaulttrue)
返回 Sharp
normalise¶
Enhance output image contrast by stretching its luminance to cover the full dynamic range.
参数
normaliseBoolean (optional, defaulttrue)
返回 Sharp
normalize¶
Alternative spelling of normalise.
参数
normalizeBoolean (optional, defaulttrue)
返回 Sharp
convolve¶
Convolve the image with the specified kernel.
参数
kernelObjectkernel.widthNumber width of the kernel in pixels.kernel.heightNumber width of the kernel in pixels.kernel.kernelArray<Number> Array of lengthwidth*heightcontaining the kernel values.kernel.scaleNumber the scale of the kernel in pixels. (optional, defaultsum)kernel.offsetNumber the offset of the kernel in pixels. (optional, default0)
示例
sharp(input)
.convolve({
width: 3,
height: 3,
kernel: [-1, 0, 1, -2, 0, 2, -1, 0, 1]
})
.raw()
.toBuffer(function(err, data, info) {
// data contains the raw pixel data representing the convolution
// of the input image with the horizontal Sobel operator
});
- Throws Error Invalid parameters
返回 Sharp
threshold¶
Any pixel value greather than or equal to the threshold value will be set to 255, otherwise it will be set to 0.
参数
thresholdNumber a value in the range 0-255 representing the level at which the threshold will be applied. (optional, default128)-
optionsObject? -
Throws Error Invalid parameters
返回 Sharp
boolean¶
Perform a bitwise boolean operation with operand image.
This operation creates an output image where each pixel is the result of
the selected bitwise boolean operation between the corresponding pixels of the input images.
参数
operand(Buffer | String) Buffer containing image data or String containing the path to an image file.operatorString one ofand,ororeorto perform that bitwise operation, like the C logic operators&,|and^respectively.-
optionsObject? -
Throws Error Invalid parameters
返回 Sharp