问题
I have an byte[] array of a greyvalue image dataIn with dimension width * height. Now, I want to crop the image by applying a translation (dx, dy) and cut-off the out-of-border regions, so that the dataOut has dimension (width-abs(dx))*(height-abs(dy)).
In RenderScript I would use a 2-d uchar-Allocation both for the input and the output. In order to efficiently apply the crop operation, it was thinking of using the LaunchOptions with (for example) setX(dx,width) and setY(0, height-dy) and apply a trivial kernel that just takes values from a subset of the original dimensions.
However, when using the Launch Options, the out-Allocation still has the original size width*height, i.e. the cropped parts will just be shown as zeros - but, I actually want them to be removed, i.e. out-Allocation be of reduced dimension.
Question: is there a solution in RS in order to perform this cropping job more elegantly? Thanks for your feedback.
UPDATE: I think, I found the solution. It is by defining the out-Allocation as a script global at the reduced dimensions from the outset, passing dx and dy as well as globals and then apply rsSetElementAt_uchar to set the values of the out-Allocation. Will give an udpate later.
回答1:
So, here is my quick rs-crop tool, taking 5ms for cropping a 500k pixel image. It uses LaunchOptions and reduced dimensions for the cropped output. Should you need to crop a Bitmap, just use element type U8_4 and allocation uchar_4 instead of U8 and uchar, respectively.
The crop.rs file:
#pragma version(1)
#pragma rs java_package_name(com.xxx.yyy)
#pragma rs_fp_relaxed
int32_t width;
int32_t height;
rs_allocation croppedImg;
uint xStart, yStart;
void __attribute__((kernel)) doCrop(uchar in,uint32_t x, uint32_t y) {
rsSetElementAt_uchar(croppedImg,in, x-xStart, y-yStart);
}
The Java part:
// data1 is the byte[] array with (grayvalue) data of size
// width*height you want to crop.
// define crop shift (dx, dy) here
int dx=0; // (-width < dx < width);
int dy=250; // (- height < dy < height);
int xStart=0, xEnd=0;
int yStart=0, yEnd=0;
// x direction
if (dx<0) {
xStart= Math.abs(dx);
xEnd=width;
}
else {
xStart = 0;
xEnd = width - Math.abs(dx);
}
// same for y direction
if (dy<0) {
yStart= Math.abs(dy);
yEnd=height;
}
else {
yStart = 0;
yEnd = height - Math.abs(dy);
}
// initiate rs and crop script
RenderScript rs = RenderScript.create(this);
ScriptC_crop mcropScr=new ScriptC_crop (rs);
// define allocations. Note the reduced size of cropAlloc
Type.Builder typeUCHAR = new Type.Builder(rs, Element.U8(rs));
typeUCHAR.setX(width).setY(height);
inAlloc = Allocation.createTyped(rs, typeUCHAR.create());
inAlloc.copyFrom(data1);
Type.Builder TypeUCHARCropped = new Type.Builder(rs, Element.U8(rs));
TypeUCHARCropped.setX(xEnd-xStart).setY(yEnd-yStart);
Allocation cropAlloc = Allocation.createTyped(rs, TypeUCHARCropped.create());
mcropScr.set_croppedImg(cropAlloc);
mcropScr.set_xStart(xStart);
mcropScr.set_yStart(yStart);
Script.LaunchOptions lo = new Script.LaunchOptions();
lo.setX(xStart, xEnd);
lo.setY(yStart, yEnd);
mcropScr.forEach_doCrop(inAlloc, lo);
byte[] data1_cropped =new byte[(xEnd-xStart)*(yEnd-yStart)];
cropAlloc.copyTo(data1_cropped);
回答2:
Similar idea to the other answer, but this matches the style of Google's API for Intrinsics:
#pragma version(1)
#pragma rs java_package_name(com.sicariusnoctis.collaborativeintelligence)
#pragma rs_fp_relaxed
rs_allocation input;
uint32_t xStart, yStart;
uchar4 RS_KERNEL crop(uint32_t x, uint32_t y) {
return rsGetElementAt_uchar4(input, x + xStart, y + yStart);
}
To set up:
fun setup(
width: Int, height: Int,
new_width: Int, new_height: Int,
xStart: Int, yStart: Int
) {
val inputType = Type.createXY(rs, Element.RGBA_8888(rs), width, height)
val outputType = Type.createXY(rs, Element.RGBA_8888(rs), new_width, new_height)
inputAllocation = Allocation.createTyped(rs, inputType, Allocation.USAGE_SCRIPT)
outputAllocation = Allocation.createTyped(rs, outputType, Allocation.USAGE_SCRIPT)
crop = ScriptC_crop(rs)
crop._xStart = xStart.toLong()
crop._yStart = yStart.toLong()
crop._input = inputAllocation
}
And to execute:
fun execute(inputArray: ByteArray): ByteArray {
inputAllocation.copyFrom(inputArray)
crop.forEach_crop(outputAllocation)
val outputArray = ByteArray(outputAllocation.bytesSize)
outputAllocation.copyTo(outputArray)
return outputArray
}
来源:https://stackoverflow.com/questions/35791902/crop-image-data-using-renderscript-launch-options