renderscript

问题 for a video image processing project, I have to rotate the incoming YUV image data so that the data is not shown horizontally but vertically. I used this project which gave me a tremendous insight in how to convert YUV image data to ARGB for processing them in real-time. The only drawback of that project is that it is only in landscape. There is no option for portrait mode (I do not know why the folks at Google present an example sample which handles only the landscape orientation). I wanted

问题 for a video image processing project, I have to rotate the incoming YUV image data so that the data is not shown horizontally but vertically. I used this project which gave me a tremendous insight in how to convert YUV image data to ARGB for processing them in real-time. The only drawback of that project is that it is only in landscape. There is no option for portrait mode (I do not know why the folks at Google present an example sample which handles only the landscape orientation). I wanted

问题 for a video image processing project, I have to rotate the incoming YUV image data so that the data is not shown horizontally but vertically. I used this project which gave me a tremendous insight in how to convert YUV image data to ARGB for processing them in real-time. The only drawback of that project is that it is only in landscape. There is no option for portrait mode (I do not know why the folks at Google present an example sample which handles only the landscape orientation). I wanted

问题 I'm currently working in an android application where i need to compute the average value of red channel in a bitmap and i just discovered Renderscript that has a fast way to access bitmap pixels. However until now i modified google developer page's code and failed to do want i wanted and here is my code: Sript: int *sum; uchar4 __attribute__ ((kernel)) invert(uchar4 in, uint32_t x, uint32_t y){ uchar4 out = in; sum[0] += in.r; out.r = 255 - in.r; out.g = 255 - in.g; out.b = 255 - in.b;

问题 I write below code to convert NV12 yuv to RGB but the color is not correct. yuv2rgb.rs #pragma version(1) #pragma rs java_package_name(com.example.myexam) #pragma rs_fp_relaxed rs_allocation gYUV; uint32_t gW; uint32_t gH; uchar4 __attribute__((kernel)) YUV2RGB(uint32_t x,uint32_t y) { uchar yps = rsGetElementAt_uchar(gYUV, x, y); uchar u = rsGetElementAt_uchar(gYUV,(x & ~1),gH + (y>>1)); uchar v = rsGetElementAt_uchar(gYUV,(x & ~1)+1,gH + (y>>1)); uchar4 rgb = rsYuvToRGBA_uchar4(yps, u, v);

问题 Renderscript intrinsics is very fast and useful. However, there are situations where we might want to build our own intrinsics, e.g. current convolution doesn't support the "valid" mode as in matlab. It would be very nice to have it. So, I'm wondering if it's possible to do so and connect nicely with the java layer (just like the existing intrinsics)? If it's possible, would you sketch how? Thank you. 回答1: no, there's no way to add custom intrinsics right now. in the next release we're

来源： https://stackoverflow.com/questions/63962361/custom-renderscript-is-slower-than-intrinsic

来源： https://stackoverflow.com/questions/53013840/androidx-renderscript-crash-error-loading-rs-jni-library-java-lang-unsatisfied

问题 I've updated to MacOS Catalina. This morning while I was working on my Android project, it suddenly started giving the following exception: "ERROR: Cause: error=86, Bad CPU type in executable". I suspect it it because I updated to macOS 10.15 AND because I tried to build the APK for my project (so it rebuilt the renderscript stuff). Here is the full stack trace given: org.gradle.process.internal.ExecException: A problem occurred starting process 'command '/Users/name/Library/Android/sdk/build

问题 Trying to compile renderscript without using the support library. I'm using Android Studio with android sdk build tools 23.0.1 (I also have 20 and 23.0.0). Trying to compile it for Samsung galaxy s5 plus. (Android 5.0.2 API 21) The inverse.rs file is located in: /src/main/rs/ In my mainactivity.java: RenderScript rs = RenderScript.create(this.getApplicationContext()); Allocation allocIn; allocIn = Allocation.createFromBitmap(rs, bitmap); Allocation allocOut = Allocation.createTyped(rs,