💭 Use `runAsync` every time it finishes executing

[tomerh2001]

Question

I have a document detection model I want to run but it's slow, I don't want to hard-lock to running it once every second (with runAtTargetFps(1, ...)) but rather want it to execute sequentially in a different thread.

I.E. the next call to my callback should be immediately after the previous call has finished, independent of the FPS or what frame it is

What I tried

I know I can technically wrap some logic into runAsync that'll check if the previous call has finished - or use a recursive call in a one-off thing

But institutively this utility seems (to me at least) useful when dealing with frame processing, so maybe a sister function to runAsync and runAtTargetFps could be introduced?

VisionCamera Version

8.0.2

Additional information

• I am using Expo
• I have read the Troubleshooting Guide
• I agree to follow this project's Code of Conduct
• I searched for similar questions in the issues page as well as in the discussions page and found none.

[mrousavy]

VisionCamera 8.0.2? Are you from the future? Does VisionCamera V8 have Skia Frame Processors already? 👀

[mrousavy]

Also, I'm not sure if I get your question. You want to run something on another Thread, then use runAsync. That's what I built it for. Did you try using runAsync?

[oscar-b]

I assume he means it should only process 1 frame sequentially, and drop any frames that are aquired whilst still processing.

[mrousavy]

Yep, this is exactly what runAsync does 👍

[tomerh2001]

Also, I'm not sure if I get your question. You want to run something on another Thread, then use runAsync. That's what I built it for. Did you try using runAsync?

Since runAsync gets a frame I assumed it does something like pushing every frame to a queue to be processed. So this means if I use runAsync and my detect function takes 1.5s than it does:

1. at 0s detect on the frame at 0s
2. at 1.5s detect on the frame at 1.5s
3. at 3s detect on the frame at 3s
4. so on...
   ?

Also, when I try to use runAsync it just crashes without any error, this is my code:

	const frameProcessor = useFrameProcessor(frame => {
		'worklet';

		if (!model || !isCameraInitialized || !isCameraActive) {
			return;
		}

		runAsync(frame, () => {
			'worklet';

			const resizedFrame = resize(frame, {
				scale: {
					height: 384,
					width: 384,
				},
				dataType: 'uint8',
				pixelFormat: 'rgb',
			});

			/**
			* A normalized version of the frame where each pixel is a value between 0 and 1.
			* @type {Float32Array}
			*/
			const normalizedData = new Float32Array(resizedFrame.length);
			for (let i = 0; i < resizedFrame.length; i++) {
				normalizedData[i] = resizedFrame[i] / 255.0;
			}

			/**
			* The output of the document detection model, it is a flattened 1x348x348x2 tensor.
			* The channels are as follows:
			* - The first channel is the not_document channel.
			* - The second channel is the document channel.
			* @type {Float32Array}
			*/
			const output = model.runSync([normalizedData])[0];

			// Calculate the document confidence by iterating over the output
			// This is done by summing the values of the document channel and dividing by the total number of pixels in the document channel
			let documentConfidence = 0;
			for (let i = 0; i < output.length; i += 2) {
				const y = Math.floor(i / 348);

                                // skip x% of the height
				if (y < 348 * 0.2) {
					continue;
				}

				documentConfidence += output[i + 1];
			}

			documentConfidence /= output.length / 2;
			console.log({documentConfidence});

			// If the confidence is high enough, grab the image
			if (documentConfidence > 2) {
				grabImageWorklet(true);
			}
		});
	},	[model, isCameraInitialized, isCameraActive]);

(also completely unrelated but do you have any frame processing libraries - for stuff like thresholding - you can recommend? I couldn't find anything and had to resort to doing this awful average calculation using a god-damn loop)

[mrousavy]

Did you enable processNestedWorklets in the reanimated plugin? We recently fixed that crash in latest VC/Worklets versions, so it might be the plugin not transpiling properly.

Also, as always, I need the native logs to debug further.

[tomerh2001]

processNestedWorklets

I don't even use reanimated. If it's a dependency I must install, where does it say it? I followed your installation guide.

That's my babel config:

module.exports = function (api) {
	api.cache(true);
	return {
		presets: ['module:metro-react-native-babel-preset'],
		plugins: [
			['module:react-native-dotenv', {
				moduleName: '@env',
				path: '.env',
				blacklist: null,
				whitelist: null,
				safe: true,
				allowUndefined: true,
			}],
			'react-native-worklets-core/plugin',
		],
	};
};

How can I get you the native logs from Flipper?

[tomerh2001]

Update:
this works:

runAsync(frame, Worklets.createRunInJsFn(() => {
    console.log(frame.width);
});

I get the width printed endlessly

But when I try to do something with the frame like:

runAsync(frame, Worklets.createRunInJsFn(() => {
	const resizedFrame = resize(frame, {
		scale: {
			height: 384,
			width: 384,
		},
		dataType: 'uint8',
		pixelFormat: 'rgb',
	});

	console.log(resizedFrame.length);
});

Nothing happens - it doesn't even crash, just nothing happens

I saw there's a beta of 3.9.0, trying 3.9.0-beta.3 and will update if anything changes

[mrousavy]

Ah yeah then no, you dont need reanimated.

But you shouldn't use runOnJS, just runAsync:

runAsync(frame, () => {
  'worklet'
  // your code
})

[tomerh2001]

Ah yeah then no, you dont need reanimated.

But you shouldn't use runOnJS, just runAsync:

runAsync(frame, () => {
  'worklet'
  // your code
})

That doesn't work, and it straight up crashes... this is my crash report from flipper:

*** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***

Unknown

*** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***

Build fingerprint: 'google/cheetah/cheetah:14/UQ1A.240105.004/11206848:user/release-keys'
Revision: 'MP1.0'
ABI: 'arm64'
Timestamp: 2024-02-09 19:49:09.838956168+0200
Process uptime: 19s
Cmdline: com.*****
pid: 22746, tid: 22956, name: mqt_js  >>> com.*********** <<<
uid: 10398
tagged_addr_ctrl: 0000000000000001 (PR_TAGGED_ADDR_ENABLE)
signal 11 (SIGSEGV), code 2 (SEGV_ACCERR), fault addr 0x0000006ebd02d42d
    x0  0000000000000001  x1  00000074e5511248  x2  0000000000000000  x3  0000000000000000
    x4  00000074e7805f10  x5  b400007537dc59e8  x6  0000000000000000  x7  00000073a34d88e3
    x8  0000006e7e02c4e8  x9  0000006ebd02d408  x10 0000000000000003  x11 00000000dd000000
    x12 00000074e78061c8  x13 0000000000000051  x14 0000000000000001  x15 0000006e7e022570
    x16 0000000000000051  x17 0000000000000600  x18 00000074e769c000  x19 0000006e7dc00000
    x20 00000074e7805d68  x21 00000074e7809000  x22 00000074e5511280  x23 fffa000000000000
    x24 ffff006e7e02c4e8  x25 0000000000bfef50  x26 0000000000000000  x27 b400007537dc5990
    x28 00000074e5511138  x29 00000074e7805d40
    lr  0000007448c13480  sp  00000074e7805d40  pc  0000007448c1349c  pst 0000000060001000
72 total frames
backtrace:
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      #44 pc 000000000033f080  /apex/com.android.art/lib64/libart.so (art_quick_invoke_static_stub+640) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #45 pc 00000000005111d4  /apex/com.android.art/lib64/libart.so (bool art::interpreter::DoCall<false>(art::ArtMethod*, art::Thread*, art::ShadowFrame&, art::Instruction const*, unsigned short, bool, art::JValue*)+2364) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #46 pc 000000000049774c  /apex/com.android.art/lib64/libart.so (void art::interpreter::ExecuteSwitchImplCpp<false>(art::interpreter::SwitchImplContext*)+1840) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #47 pc 0000000000357fd8  /apex/com.android.art/lib64/libart.so (ExecuteSwitchImplAsm+8) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #48 pc 00000000003b101c  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk (com.facebook.jni.ThreadScopeSupport.runStdFunction+0)
      #49 pc 0000000000374120  /apex/com.android.art/lib64/libart.so (art::interpreter::Execute(art::Thread*, art::CodeItemDataAccessor const&, art::ShadowFrame&, art::JValue, bool, bool) (.__uniq.112435418011751916792819755956732575238.llvm.420609892041422114)+232) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #50 pc 0000000000373a18  /apex/com.android.art/lib64/libart.so (artQuickToInterpreterBridge+964) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #51 pc 0000000000355968  /apex/com.android.art/lib64/libart.so (art_quick_to_interpreter_bridge+88) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #52 pc 000000000033f080  /apex/com.android.art/lib64/libart.so (art_quick_invoke_static_stub+640) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #53 pc 00000000004e1ea8  /apex/com.android.art/lib64/libart.so (art::JValue art::InvokeWithVarArgs<_jmethodID*>(art::ScopedObjectAccessAlreadyRunnable const&, _jobject*, _jmethodID*, std::__va_list)+728) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #54 pc 000000000057b930  /apex/com.android.art/lib64/libart.so (art::JNI<true>::CallStaticVoidMethodV(_JNIEnv*, _jclass*, _jmethodID*, std::__va_list)+156) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #55 pc 00000000003dc208  /apex/com.android.art/lib64/libart.so (art::(anonymous namespace)::CheckJNI::CallMethodV(char const*, _JNIEnv*, _jobject*, _jclass*, _jmethodID*, std::__va_list, art::Primitive::Type, art::InvokeType) (.__uniq.99033978352804627313491551960229047428)+624) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #56 pc 000000000054da40  /apex/com.android.art/lib64/libart.so (art::(anonymous namespace)::CheckJNI::CallStaticVoidMethodV(_JNIEnv*, _jclass*, _jmethodID*, std::__va_list) (.__uniq.99033978352804627313491551960229047428.llvm.9379289081322328196)+60) (BuildId: 735f12f804f88d62a2cb437261076ff7)
      #57 pc 0000000000019ea4  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!libfbjni.so (offset 0x226a000) (_JNIEnv::CallStaticVoidMethod(_jclass*, _jmethodID*, ...)+116) (BuildId: 957a087554a7dd659c148d0560674b789d2844d0)
      #58 pc 0000000000019590  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!libfbjni.so (offset 0x226a000) (facebook::jni::ThreadScope::WithClassLoader(std::__ndk1::function<void ()>&&)+184) (BuildId: 957a087554a7dd659c148d0560674b789d2844d0)
      #59 pc 0000000000141900  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #60 pc 0000000000141854  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #61 pc 0000000000141808  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #62 pc 00000000001417e0  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #63 pc 00000000001405b0  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #64 pc 00000000001eae98  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!libreactnativejni.so (offset 0x3ff2000) (BuildId: bec7e5a2262e26ce)
      #65 pc 00000000001ead88  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!libreactnativejni.so (offset 0x3ff2000) (std::__ndk1::function<void ()>::operator()() const+20) (BuildId: bec7e5a2262e26ce)
      #66 pc 00000000001779a4  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (RNWorklet::DispatchQueue::dispatch_thread_handler()+228) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #67 pc 0000000000179968  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #68 pc 0000000000179874  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #69 pc 000000000017919c  /data/app/~~FSywDNfZ_bfstefKi9tnAw==/com.*******-atp5BqxQzqvZiGGhJ5L2LQ==/base.apk!librnworklets.so (offset 0x5315000) (BuildId: 371ddf5f821b2248e04c5e7ad2fab66b8f369f28)
      #70 pc 00000000000c9ccc  /apex/com.android.runtime/lib64/bionic/libc.so (__pthread_start(void*)+204) (BuildId: 19c32900d9d702c303d2b4164fbba76c)
      #71 pc 000000000005db00  /apex/com.android.runtime/lib64/bionic/libc.so (__start_thread+64) (BuildId: 19c32900d9d702c303d2b4164fbba76c)

[jslok]

runAsync gives me an error: Frame Processor Error: Regular javascript function '' cannot be shared. Try decorating the function with the 'worklet' keyword to allow the javascript function to be used as a worklet., js engine: VisionCamera

  const frameProcessor = useFrameProcessor((frame) => {
    'worklet'

    runAsync(frame, () => {
      'worklet'
      console.log("I'm running asynchronously, possibly at a lower FPS rate!")
    })
  }, [])

Using 3.9.0 beta 3. runAtTargetFps works well.