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DoubangoTelecom / ultimateALPR-SDK

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).
https://www.doubango.org/webapps/alpr/
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How enable all cores on khadas VIM3 #281

Closed edsalazarx closed 1 year ago

edsalazarx commented 1 year ago

[COMPV INFO]: [UltAlprSdkEnginePrivate]Line in ../../../assets/models.amlogic_npu/pid_serial_mapping.txt -> [0x7D,290a] [COMPV INFO]: [UltAlprSdkEnginePrivate]Line in ../../../assets/models.amlogic_npu/pid_serial_mapping.txt -> [0x88,290b] [COMPV INFO]: [UltAlprSdkEnginePrivate]Matched PID in ../../../assets/models.amlogic_npu/pid_serial_mapping.txt: [0x88] [COMPV INFO]: [UltAlprSdkEnginePrivate]recogn_tf_num_threads: 6, acceleration backend: AmlogicNPU [COMPV INFO]: [CompVThreadDispatcher] Not optimized -> Your system have #6 cores but you're only using #4. Sad!! [COMPV INFO]: [CompVAsyncTask11] run(coreId:requested=0,set=useless, threadId:0x7fa8e05170, kThreadSetAffinity:false) - ENTER [COMPV INFO]: [CompVAsyncTask11] run(coreId:requested=1,set=useless, threadId:0x7fa8604170, kThreadSetAffinity:false) - ENTER [COMPV INFO]: [CompVThreadDispatcher] Thread dispatcher created with #4 threads/#6 cores *[COMPV INFO]: [CompVAsyncTask11] run(coreId:requested=2,set=useless, threadId:0x7fa7e03170, kThreadSetAffinity:false) - ENTER

DoubangoTelecom commented 1 year ago

We're using all cores. This log is from the deliverer and can be ignored. You cut the logs and if you didn't you'd see another dispatcher was created and it uses all 6 cores