I have to print this floatbuffer as array and there is a function for that in the documentation but the function is not working. I cant understand what am I doing wrong?
I have tried using the floatBuffer.toString() but it does print the array that the documentation(ARCore) has described.Thus not proper results.
Camera camera = frame.getCamera();
CameraIntrinsics cameraIntrinsics=camera.getImageIntrinsics();
float[] focal=cameraIntrinsics.getFocalLength();
Log.e("Focals",Arrays.toString(focal));
int [] getDiminsions=cameraIntrinsics.getImageDimensions();
Log.e("Dimensions ", Arrays.toString(getDiminsions));
backgroundRenderer.draw(frame);
PointCloud pointCloud=frame.acquirePointCloud();
FloatBuffer floatBuffer=pointCloud.getPoints();
FloatBuffer readonly=floatBuffer.asReadOnlyBuffer();
//final boolean res=readonly.hasArray();
final float[] points=floatBuffer.array();
//what should I do
As per the documentation(ARCore) every point in the floatBuffer has 4 values:x,y,z coordinates and a confidence value.
Depending on the implementation of FloatBuffer, the array() method may not be available if the buffer is not backed by an array. You may not need the array if all you are going to do is iterate through the values.
FloatBuffer floatBuffer = pointCloud.getPoints();
// Point cloud data is 4 floats per feature, {x,y,z,confidence}
for (int i = 0; i < floatBuffer.limit() / 4; i++) {
// feature point
float x = floatBuffer.get(i * 4);
float y = floatBuffer.get(i * 4 + 1);
float z = floatBuffer.get(i * 4 + 2);
float confidence = floatBuffer.get(i * 4 + 3);
// Do something with the the point cloud feature....
}
But if you do need to use an array, you'll need to call hasArray() and if it does not, allocate an array and copy the data.
FloatBuffer floatBuffer = pointCloud.getPoints().asReadOnlyBuffer();
float[] points;
if (floatBuffer.hasArray()) {
// Access the array backing the FloatBuffer
points = floatBuffer.array();
} else {
// allocate array and copy.
points = new float[floatBuffer.limit()];
floatBuffer.get(points);
}
Any advise in optimizing the following code? The code first grayscales, inverts and then thresholds the image (code not included, because it is trivial). It then sums the elements of each row and column (all elements are either 1 or 0). It then finds the row and column index of the row and column with the highest value.
The code is supposed to find the centroid of the image and it works, but I want to make it faster
I'm developing for API 23, so a reduction kernel can not be used.
Java snippet:
private int[] sumValueY = new int[640];
private int[] sumValueX = new int[480];
rows_indices_alloc = Allocation.createSized( rs, Element.I32(rs), height, Allocation.USAGE_SCRIPT);
col_indices_alloc = Allocation.createSized( rs, Element.I32(rs), width, Allocation.USAGE_SCRIPT);
public RenderscriptProcessor(RenderScript rs, int width, int height)
{
mScript.set_gIn(mIntermAllocation);
mScript.forEach_detectX(rows_indices_alloc);
mScript.forEach_detectY(col_indices_alloc);
rows_indices_alloc.copyTo(sumValueX);
col_indices_alloc.copyTo(sumValueY);
}
Renderscript.rs snippet:
#pragma version(1)
#pragma rs java_package_name(org.gearvrf.renderscript)
#include "rs_debug.rsh"
#pragma rs_fp_relaxed
const int mImageWidth=640;
const int mImageHeight=480;
int32_t maxsX=-1;
int32_t maxIndexX;
int32_t maxsY=-1;
int32_t maxIndexY;
rs_allocation gIn;
void detectX(int32_t v_in, int32_t x, int32_t y) {
int32_t sum=0;
for ( int i = 0; i < (mImageWidth); i++) {
float4 f4 = rsUnpackColor8888(rsGetElementAt_uchar4(gIn, i, x));
sum+=(int)f4.r;
}
if((sum>maxsX)){
maxsX=sum;
maxIndexX = x;
}
}
void detectY(int32_t v_in, int32_t x, int32_t y) {
int32_t sum=0;
for ( int i = 0; i < (mImageHeight); i++) {
float4 f4 = rsUnpackColor8888(rsGetElementAt_uchar4(gIn, x, i));
sum+=(int)f4.r;
}
if((sum>maxsY)){
maxsY=sum;
maxIndexY = x;
}
}
Any help would be appreciated
float4 f4 = rsUnpackColor8888(rsGetElementAt_uchar4(gIn, x, i));
sum+=(int)f4.r;
This converts from int to float and then back to int again. I think you can simplify by just doing this:
sum += rsGetElementAt_uchar4(gIn, x, i).r;
I don't know exactly how your previous stages work because you haven't posted them, but you should try generating packed values to read here. So either put your grayscale channels in .rgba or use a single channel format and then use rsAllocationVLoad_uchar4 to fetch 4 values at once.
Also, try combining previous stages with this one, if you don't need the intermediate results of those calculations it may be cheaper to do the memory load once and then do those transformations in registers.
You might also play with how many values your threads operate on. You could try having each kernel processing width/2, width/4, width/8 elements and see how they perform. This will give GPUs more threads to play with especially on lower-resolution images but with the trade off of having more reduction steps.
You also have a multiple-writers race condition on the maxsX/maxsY and maxIndexX/maxIndexY variables. All those writes need to use atomics if you care about the exact right answer. I think maybe you posted the wrong code because you don't store to the *_indices_alloc but you copy from them at the end. So, actually you should store all the sums to those and then use either a single threaded function or a kernel with atomics to get the absolute max and max index.
I am working with Android Renderscript to analyze preview frames received from Camera2API. I intend to analyze each pixel and based on some rules(dependent on intensity and location of the pixel) I need to update a counter. I intend to use a ForEach loop but how do I get the pixel coordinates.
An example java loop would be.
for (int i = 0; i < 240; i++)
{
for (int j = 0; j < 320; j++)
{
tempPixelIntensity = image.getPixel(i,j);
x = i;
y = j ;
if(tempPixelIntensity=zzz&x<zzzandy<zzz)
{
counter++;
}
}
}
How would I go about doing the same in a renderscript? Thanks
You might try something like this:
#pragma rs_fp_relaxed // needed for some GPUs
uint32_t counter;
void RS_KERNEL process(uchar tempPixelIntensity, uint32_t x, uint32_t y)
{
if(tempPixelIntensity=zzz&x<zzzandy<zzz)
{
rsAtomicInc(&counter);
}
}
RS kernels are SPMD (single program multiple data). So you write only the inner part of your loop for a single pixel element and the framework does the looping.
In the java side you will do something like:
Type.Builder tb = new Type.Builder(rs, Element.U8(rs));
tb.setX(320);
tb.setY(240);
Allocation input = Allocation.createTyped(rs, tb.create(), Allocation.USAGE_SCRIPT);
script.forEach_process(input);
So the dimensions of the input allocation determines the bounds that the kernel will operate over. In this case x will vary from [0,319] and y will vary from [0,239]. The x,y parameters to the kernel are special parameters that are filled in by the RS runtime, similarly the tempPixelIntensity value will be populated by the value of the input allocation pixel at the given x,y coordinate.
I wrote a conversion from YUV_420_888 to Bitmap, considering the following logic (as I understand it):
To summarize the approach: the kernel’s coordinates x and y are congruent both with the x and y of the non-padded part of the Y-Plane (2d-allocation) and the x and y of the output-Bitmap. The U- and V-Planes, however, have a different structure than the Y-Plane, because they use 1 byte for coverage of 4 pixels, and, in addition, may have a PixelStride that is more than one, in addition they might also have a padding that can be different from that of the Y-Plane. Therefore, in order to access the U’s and V’s efficiently by the kernel I put them into 1-d allocations and created an index “uvIndex” that gives the position of the corresponding U- and V within that 1-d allocation, for given (x,y) coordinates in the (non-padded) Y-plane (and, so, the output Bitmap).
In order to keep the rs-Kernel lean, I excluded the padding area in the yPlane by capping the x-range via LaunchOptions (this reflects the RowStride of the y-plane which thus can be ignored WITHIN the kernel). So we just need to consider the uvPixelStride and uvRowStride within the uvIndex, i.e. the index used in order to access to the u- and v-values.
This is my code:
Renderscript Kernel, named yuv420888.rs
#pragma version(1)
#pragma rs java_package_name(com.xxxyyy.testcamera2);
#pragma rs_fp_relaxed
int32_t width;
int32_t height;
uint picWidth, uvPixelStride, uvRowStride ;
rs_allocation ypsIn,uIn,vIn;
// The LaunchOptions ensure that the Kernel does not enter the padding zone of Y, so yRowStride can be ignored WITHIN the Kernel.
uchar4 __attribute__((kernel)) doConvert(uint32_t x, uint32_t y) {
// index for accessing the uIn's and vIn's
uint uvIndex= uvPixelStride * (x/2) + uvRowStride*(y/2);
// get the y,u,v values
uchar yps= rsGetElementAt_uchar(ypsIn, x, y);
uchar u= rsGetElementAt_uchar(uIn, uvIndex);
uchar v= rsGetElementAt_uchar(vIn, uvIndex);
// calc argb
int4 argb;
argb.r = yps + v * 1436 / 1024 - 179;
argb.g = yps -u * 46549 / 131072 + 44 -v * 93604 / 131072 + 91;
argb.b = yps +u * 1814 / 1024 - 227;
argb.a = 255;
uchar4 out = convert_uchar4(clamp(argb, 0, 255));
return out;
}
Java side:
private Bitmap YUV_420_888_toRGB(Image image, int width, int height){
// Get the three image planes
Image.Plane[] planes = image.getPlanes();
ByteBuffer buffer = planes[0].getBuffer();
byte[] y = new byte[buffer.remaining()];
buffer.get(y);
buffer = planes[1].getBuffer();
byte[] u = new byte[buffer.remaining()];
buffer.get(u);
buffer = planes[2].getBuffer();
byte[] v = new byte[buffer.remaining()];
buffer.get(v);
// get the relevant RowStrides and PixelStrides
// (we know from documentation that PixelStride is 1 for y)
int yRowStride= planes[0].getRowStride();
int uvRowStride= planes[1].getRowStride(); // we know from documentation that RowStride is the same for u and v.
int uvPixelStride= planes[1].getPixelStride(); // we know from documentation that PixelStride is the same for u and v.
// rs creation just for demo. Create rs just once in onCreate and use it again.
RenderScript rs = RenderScript.create(this);
//RenderScript rs = MainActivity.rs;
ScriptC_yuv420888 mYuv420=new ScriptC_yuv420888 (rs);
// Y,U,V are defined as global allocations, the out-Allocation is the Bitmap.
// Note also that uAlloc and vAlloc are 1-dimensional while yAlloc is 2-dimensional.
Type.Builder typeUcharY = new Type.Builder(rs, Element.U8(rs));
//using safe height
typeUcharY.setX(yRowStride).setY(y.length / yRowStride);
Allocation yAlloc = Allocation.createTyped(rs, typeUcharY.create());
yAlloc.copyFrom(y);
mYuv420.set_ypsIn(yAlloc);
Type.Builder typeUcharUV = new Type.Builder(rs, Element.U8(rs));
// note that the size of the u's and v's are as follows:
// ( (width/2)*PixelStride + padding ) * (height/2)
// = (RowStride ) * (height/2)
// but I noted that on the S7 it is 1 less...
typeUcharUV.setX(u.length);
Allocation uAlloc = Allocation.createTyped(rs, typeUcharUV.create());
uAlloc.copyFrom(u);
mYuv420.set_uIn(uAlloc);
Allocation vAlloc = Allocation.createTyped(rs, typeUcharUV.create());
vAlloc.copyFrom(v);
mYuv420.set_vIn(vAlloc);
// handover parameters
mYuv420.set_picWidth(width);
mYuv420.set_uvRowStride (uvRowStride);
mYuv420.set_uvPixelStride (uvPixelStride);
Bitmap outBitmap = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
Allocation outAlloc = Allocation.createFromBitmap(rs, outBitmap, Allocation.MipmapControl.MIPMAP_NONE, Allocation.USAGE_SCRIPT);
Script.LaunchOptions lo = new Script.LaunchOptions();
lo.setX(0, width); // by this we ignore the y’s padding zone, i.e. the right side of x between width and yRowStride
//using safe height
lo.setY(0, y.length / yRowStride);
mYuv420.forEach_doConvert(outAlloc,lo);
outAlloc.copyTo(outBitmap);
return outBitmap;
}
Testing on Nexus 7 (API 22) this returns nice color Bitmaps. This device, however, has trivial pixelstrides (=1) and no padding (i.e. rowstride=width). Testing on the brandnew Samsung S7 (API 23) I get pictures whose colors are not correct - except of the green ones. But the Picture does not show a general bias towards green, it just seems that non-green colors are not reproduced correctly. Note, that the S7 applies an u/v pixelstride of 2, and no padding.
Since the most crucial code line is within the rs-code the Access of the u/v planes uint uvIndex= (...) I think, there could be the problem, probably with incorrect consideration of pixelstrides here. Does anyone see the solution? Thanks.
UPDATE: I checked everything, and I am pretty sure that the code regarding the access of y,u,v is correct. So the problem must be with the u and v values themselves. Non green colors have a purple tilt, and looking at the u,v values they seem to be in a rather narrow range of about 110-150. Is it really possible that we need to cope with device specific YUV -> RBG conversions...?! Did I miss anything?
UPDATE 2: have corrected code, it works now, thanks to Eddy's Feedback.
Look at
floor((float) uvPixelStride*(x)/2)
which calculates your U,V row offset (uv_row_offset) from the Y x-coordinate.
if uvPixelStride = 2, then as x increases:
x = 0, uv_row_offset = 0
x = 1, uv_row_offset = 1
x = 2, uv_row_offset = 2
x = 3, uv_row_offset = 3
and this is incorrect. There's no valid U/V pixel value at uv_row_offset = 1 or 3, since uvPixelStride = 2.
You want
uvPixelStride * floor(x/2)
(assuming you don't trust yourself to remember the critical round-down behavior of integer divide, if you do then):
uvPixelStride * (x/2)
should be enough
With that, your mapping becomes:
x = 0, uv_row_offset = 0
x = 1, uv_row_offset = 0
x = 2, uv_row_offset = 2
x = 3, uv_row_offset = 2
See if that fixes the color errors. In practice, the incorrect addressing here would mean every other color sample would be from the wrong color plane, since it's likely that the underlying YUV data is semiplanar (so the U plane starts at V plane + 1 byte, with the two planes interleaved)
For people who encounter error
android.support.v8.renderscript.RSIllegalArgumentException: Array too small for allocation type
use buffer.capacity() instead of buffer.remaining()
and if you already made some operations on the image, you'll need to call rewind() method on the buffer.
Furthermore for anyone else getting
android.support.v8.renderscript.RSIllegalArgumentException: Array too
small for allocation type
I fixed it by changing yAlloc.copyFrom(y); to yAlloc.copy1DRangeFrom(0, y.length, y);
Posting full solution to convert YUV->BGR (can be adopted for other formats too) and also rotate image to upright using renderscript. Allocation is used as input and byte array is used as output. It was tested on Android 8+ including Samsung devices too.
Java
/**
* Renderscript-based process to convert YUV_420_888 to BGR_888 and rotation to upright.
*/
public class ImageProcessor {
protected final String TAG = this.getClass().getSimpleName();
private Allocation mInputAllocation;
private Allocation mOutAllocLand;
private Allocation mOutAllocPort;
private Handler mProcessingHandler;
private ScriptC_yuv_bgr mConvertScript;
private byte[] frameBGR;
public ProcessingTask mTask;
private ImageListener listener;
private Supplier<Integer> rotation;
public ImageProcessor(RenderScript rs, Size dimensions, ImageListener listener, Supplier<Integer> rotation) {
this.listener = listener;
this.rotation = rotation;
int w = dimensions.getWidth();
int h = dimensions.getHeight();
Type.Builder yuvTypeBuilder = new Type.Builder(rs, Element.YUV(rs));
yuvTypeBuilder.setX(w);
yuvTypeBuilder.setY(h);
yuvTypeBuilder.setYuvFormat(ImageFormat.YUV_420_888);
mInputAllocation = Allocation.createTyped(rs, yuvTypeBuilder.create(),
Allocation.USAGE_IO_INPUT | Allocation.USAGE_SCRIPT);
//keep 2 allocations to handle different image rotations
mOutAllocLand = createOutBGRAlloc(rs, w, h);
mOutAllocPort = createOutBGRAlloc(rs, h, w);
frameBGR = new byte[w*h*3];
HandlerThread processingThread = new HandlerThread(this.getClass().getSimpleName());
processingThread.start();
mProcessingHandler = new Handler(processingThread.getLooper());
mConvertScript = new ScriptC_yuv_bgr(rs);
mConvertScript.set_inWidth(w);
mConvertScript.set_inHeight(h);
mTask = new ProcessingTask(mInputAllocation);
}
private Allocation createOutBGRAlloc(RenderScript rs, int width, int height) {
//Stored as Vec4, it's impossible to store as Vec3, buffer size will be for Vec4 anyway
//using RGB_888 as alternative for BGR_888, can be just U8_3 type
Type.Builder rgbTypeBuilderPort = new Type.Builder(rs, Element.RGB_888(rs));
rgbTypeBuilderPort.setX(width);
rgbTypeBuilderPort.setY(height);
Allocation allocation = Allocation.createTyped(
rs, rgbTypeBuilderPort.create(), Allocation.USAGE_SCRIPT
);
//Use auto-padding to be able to copy to x*h*3 bytes array
allocation.setAutoPadding(true);
return allocation;
}
public Surface getInputSurface() {
return mInputAllocation.getSurface();
}
/**
* Simple class to keep track of incoming frame count,
* and to process the newest one in the processing thread
*/
class ProcessingTask implements Runnable, Allocation.OnBufferAvailableListener {
private int mPendingFrames = 0;
private Allocation mInputAllocation;
public ProcessingTask(Allocation input) {
mInputAllocation = input;
mInputAllocation.setOnBufferAvailableListener(this);
}
#Override
public void onBufferAvailable(Allocation a) {
synchronized(this) {
mPendingFrames++;
mProcessingHandler.post(this);
}
}
#Override
public void run() {
// Find out how many frames have arrived
int pendingFrames;
synchronized(this) {
pendingFrames = mPendingFrames;
mPendingFrames = 0;
// Discard extra messages in case processing is slower than frame rate
mProcessingHandler.removeCallbacks(this);
}
// Get to newest input
for (int i = 0; i < pendingFrames; i++) {
mInputAllocation.ioReceive();
}
int rot = rotation.get();
mConvertScript.set_currentYUVFrame(mInputAllocation);
mConvertScript.set_rotation(rot);
Allocation allocOut = rot==90 || rot== 270 ? mOutAllocPort : mOutAllocLand;
// Run processing
// ain allocation isn't really used, global frame param is used to get data from
mConvertScript.forEach_yuv_bgr(allocOut);
//Save to byte array, BGR 24bit
allocOut.copyTo(frameBGR);
int w = allocOut.getType().getX();
int h = allocOut.getType().getY();
if (listener != null) {
listener.onImageAvailable(frameBGR, w, h);
}
}
}
public interface ImageListener {
/**
* Called when there is available image, image is in upright position.
*
* #param bgr BGR 24bit bytes
* #param width image width
* #param height image height
*/
void onImageAvailable(byte[] bgr, int width, int height);
}
}
RS
#pragma version(1)
#pragma rs java_package_name(com.affectiva.camera)
#pragma rs_fp_relaxed
//Script convers YUV to BGR(uchar3)
//current YUV frame to read pixels from
rs_allocation currentYUVFrame;
//input image rotation: 0,90,180,270 clockwise
uint32_t rotation;
uint32_t inWidth;
uint32_t inHeight;
//method returns uchar3 BGR which will be set to x,y in output allocation
uchar3 __attribute__((kernel)) yuv_bgr(uint32_t x, uint32_t y) {
// Read in pixel values from latest frame - YUV color space
uchar3 inPixel;
uint32_t xRot = x;
uint32_t yRot = y;
//Do not rotate if 0
if (rotation==90) {
//rotate 270 clockwise
xRot = y;
yRot = inHeight - 1 - x;
} else if (rotation==180) {
xRot = inWidth - 1 - x;
yRot = inHeight - 1 - y;
} else if (rotation==270) {
//rotate 90 clockwise
xRot = inWidth - 1 - y;
yRot = x;
}
inPixel.r = rsGetElementAtYuv_uchar_Y(currentYUVFrame, xRot, yRot);
inPixel.g = rsGetElementAtYuv_uchar_U(currentYUVFrame, xRot, yRot);
inPixel.b = rsGetElementAtYuv_uchar_V(currentYUVFrame, xRot, yRot);
// Convert YUV to RGB, JFIF transform with fixed-point math
// R = Y + 1.402 * (V - 128)
// G = Y - 0.34414 * (U - 128) - 0.71414 * (V - 128)
// B = Y + 1.772 * (U - 128)
int3 bgr;
//get red pixel and assing to b
bgr.b = inPixel.r +
inPixel.b * 1436 / 1024 - 179;
bgr.g = inPixel.r -
inPixel.g * 46549 / 131072 + 44 -
inPixel.b * 93604 / 131072 + 91;
//get blue pixel and assign to red
bgr.r = inPixel.r +
inPixel.g * 1814 / 1024 - 227;
// Write out
return convert_uchar3(clamp(bgr, 0, 255));
}
On a Samsung Galaxy Tab 5 (Tablet), android version 5.1.1 (22), with alleged YUV_420_888 format, the following renderscript math works well and produces correct colors:
uchar yValue = rsGetElementAt_uchar(gCurrentFrame, x + y * yRowStride);
uchar vValue = rsGetElementAt_uchar(gCurrentFrame, ( (x/2) + (y/4) * yRowStride ) + (xSize * ySize) );
uchar uValue = rsGetElementAt_uchar(gCurrentFrame, ( (x/2) + (y/4) * yRowStride ) + (xSize * ySize) + (xSize * ySize) / 4);
I do not understand why the horizontal value (i.e., y) is scaled by a factor of four instead of two, but it works well. I also needed to avoid use of rsGetElementAtYuv_uchar_Y|U|V. I believe the associated allocation stride value is set to zero instead of something proper. Use of rsGetElementAt_uchar() is a reasonable work-around.
On a Samsung Galaxy S5 (Smart Phone), android version 5.0 (21), with alleged YUV_420_888 format, I cannot recover the u and v values, they come through as all zeros. This results in a green looking image. Luminous is OK, but image is vertically flipped.
This code requires the use of the RenderScript compatibility library (android.support.v8.renderscript.*).
In order to get the compatibility library to work with Android API 23, I updated to gradle-plugin 2.1.0 and Build-Tools 23.0.3 as per Miao Wang's answer at How to create Renderscript scripts on Android Studio, and make them run?
If you follow his answer and get an error "Gradle version 2.10 is required" appears, do NOT change
classpath 'com.android.tools.build:gradle:2.1.0'
Instead, update the distributionUrl field of the Project\gradle\wrapper\gradle-wrapper.properties file to
distributionUrl=https\://services.gradle.org/distributions/gradle-2.10-all.zip
and change File > Settings > Builds,Execution,Deployment > Build Tools > Gradle >Gradle to Use default gradle wrapper as per "Gradle Version 2.10 is required." Error.
Re: RSIllegalArgumentException
In my case this was the case that buffer.remaining() was not multiple of stride:
The length of last line was less than stride (i.e. only up to where actual data was.)
An FYI in case someone else gets this as I was also getting "android.support.v8.renderscript.RSIllegalArgumentException: Array too small for allocation type" when trying out the code. In my case it turns out that the when allocating the buffer for Y i had to rewind the buffer because it was being left at the wrong end and wasn't copying the data. By doing buffer.rewind(); before allocation the new bytes array makes it work fine now.
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.
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);
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
}