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    Error "Arena size is too small for all buffers" while inferencing audio project on XIAO ESP32-S3.

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    • salmanfaris
      salmanfaris last edited by

      Hi, I was trying to inference an audio KWS project on XIAO ESP-S3 with Sense HAT. The device was working fine on the previous audio project, only facing issues with this particular project. Thanks in Advance.

      ERR: Failed to run classifier (-3)
Arena size is too small for all buffers. Needed 15280 but only 12160 was available.
AllocateTensors() failed
ERR: Failed to run classifier (-3)
Edge Impulse Inferencing Demo
Inferencing settings:
Interval: 0.062500 ms.
Frame size: 16000
Sample length: 1000 ms.
No. of classes: 2
      kowshik1729 1 Reply Last reply Reply Quote 0
      • kowshik1729
        kowshik1729 @salmanfaris last edited by

        @salmanfaris

        This seems to be a typical Dynamic memory allocation done through your software stack. I've seen similar error while implementing OpenCV on MCU's.

        Try freeing unused objects from your application.

        salmanfaris 1 Reply Last reply Reply Quote 0
        • salmanfaris
          salmanfaris @kowshik1729 last edited by

          Thanks for the insights @kowshik1729 .

          When I was checking the edgeImpulse memory profiler, it only mentioned 19.1K RAM and I don't have any additional application running along with the inference program. It looks like something is wrong in the compilation.

          I will try to check the memory status as you mentioned and get back, Thanks

          f3cfbd23-d187-4aba-b67c-9e8c25142c99-image.png

          1 Reply Last reply Reply Quote 0
          • First post
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          Recent Posts

          • @mahesh02 From the current Arduino ESP32 board files, we don't need to install the ESP-NN separately.

            But try to choose the esp32 board version 3.1.3 and check, as I also faced issues with the latest esp32 board file.

            • read more
          • M

            Im having the same error as below, it will be really awesome if you can help me.

            In file included from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_classifier_types.h:40,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_model_types.h:40,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:38,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/mahesh02-project-1_inferencing.h:49,
            from C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:27:
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/model-parameters/model_metadata.h:108:2: warning: #warning 'EI_CLASSFIER_OBJECT_DETECTION_COUNT' is used for the guaranteed minimum number of objects detected. To get all objects during inference use 'bounding_boxes_count' from the 'ei_impulse_result_t' struct instead. [-Wcpp]
            #warning 'EI_CLASSFIER_OBJECT_DETECTION_COUNT' is used for the guaranteed minimum number of objects detected. To get all objects during inference use 'bounding_boxes_count' from the 'ei_impulse_result_t' struct instead.
            ^~~~~~~
            In file included from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/memory.hpp:38,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/ei_alloc.h:34,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/ei_vector.h:34,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/numpy_types.h:40,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/ei_dsp_handle.h:35,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_model_types.h:41,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:38,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/mahesh02-project-1_inferencing.h:49,
            from C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:27:
            c:\users\mahesh\onedrive\documents\arduino\libraries\mahesh02-project-1_inferencing\src\edge-impulse-sdk\porting\ei_classifier_porting.h:310: warning: "EI_PORTING_ARDUINO" redefined
            #define EI_PORTING_ARDUINO 0

            c:\users\mahesh\onedrive\documents\arduino\libraries\mahesh02-project-1_inferencing\src\edge-impulse-sdk\porting\ei_classifier_porting.h:279: note: this is the location of the previous definition
            #define EI_PORTING_ARDUINO 1

            In file included from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/speechpy.hpp:35,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_dsp.h:40,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:41,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/mahesh02-project-1_inferencing.h:49,
            from C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:27:
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp: In static member function 'static int ei::speechpy::feature::mfe(ei::matrix_t*, ei::matrix_t*, ei::signal_t*, uint32_t, float, float, uint16_t, uint16_t, uint32_t, uint32_t, uint16_t)':
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:236:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_ixs' [-Wmissing-field-initializers]
            stack_frames_info_t stack_frame_info = { 0 };
            ^
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:236:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_length' [-Wmissing-field-initializers]
            In file included from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/speechpy.hpp:35,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_dsp.h:40,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:41,
            from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/mahesh02-project-1_inferencing.h:49,
            from C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:27:
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp: In static member function 'static int ei::speechpy::feature::mfe_v3(ei::matrix_t*, ei::matrix_t*, ei::signal_t*, uint32_t, float, float, uint16_t, uint16_t, uint32_t, uint32_t, uint16_t)':
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:436:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_ixs' [-Wmissing-field-initializers]
            stack_frames_info_t stack_frame_info = { 0 };
            ^
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:436:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_length' [-Wmissing-field-initializers]
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp: In static member function 'static int ei::speechpy::feature::spectrogram(ei::matrix_t*, ei::signal_t*, float, float, float, uint16_t, uint16_t)':
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:576:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_ixs' [-Wmissing-field-initializers]
            stack_frames_info_t stack_frame_info = { 0 };
            ^
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/dsp/speechpy/feature.hpp:576:52: warning: missing initializer for member 'ei::speechpy::ei_stack_frames_info::frame_length' [-Wmissing-field-initializers]
            In file included from C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/mahesh02-project-1_inferencing.h:49,
            from C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:27:
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h: In function 'EI_IMPULSE_ERROR {anonymous}::process_impulse(ei_impulse_handle_t*, ei::signal_t*, ei_impulse_result_t*, bool)':
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:307:23: error: format '%lu' expects argument of type 'long unsigned int', but argument 2 has type 'size_t' {aka 'unsigned int'} [-Werror=format=]
            ei_printf("ERR: Out of memory, can't allocate matrix_ptrs[%lu]\n", ix);
            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:312:23: error: format '%lu' expects argument of type 'long unsigned int', but argument 2 has type 'size_t' {aka 'unsigned int'} [-Werror=format=]
            ei_printf("ERR: Out of memory, can't allocate matrix_ptrs[%lu]\n", ix);
            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h: In function 'EI_IMPULSE_ERROR {anonymous}::process_impulse_continuous(ei_impulse_handle_t*, ei::signal_t*, ei_impulse_result_t*, bool)':
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:558:27: error: format '%lu' expects argument of type 'long unsigned int', but argument 2 has type 'size_t' {aka 'unsigned int'} [-Werror=format=]
            ei_printf("ERR: Out of memory, can't allocate matrix_ptrs[%lu]\n", ix);
            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~
            C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing\src/edge-impulse-sdk/classifier/ei_run_classifier.h:563:27: error: format '%lu' expects argument of type 'long unsigned int', but argument 2 has type 'size_t' {aka 'unsigned int'} [-Werror=format=]
            ei_printf("ERR: Out of memory, can't allocate matrix_ptrs[%lu]\n", ix);
            ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino: In function 'void loop()':
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::bounding_boxes_count' [-Wmissing-field-initializers]
            ei_impulse_result_t result = { 0 };
            ^
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::classification' [-Wmissing-field-initializers]
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::anomaly' [-Wmissing-field-initializers]
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::timing' [-Wmissing-field-initializers]
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::copy_output' [-Wmissing-field-initializers]
            C:\Users\Mahesh\AppData\Local\Temp\arduino_modified_sketch_680639\esp32_camera.ino:181:38: warning: missing initializer for member 'ei_impulse_result_t::postprocessed_output' [-Wmissing-field-initializers]
            cc1plus.exe: some warnings being treated as errors
            Using library mahesh02-project-1_inferencing at version 1.0.1 in folder: C:\Users\Mahesh\OneDrive\Documents\Arduino\libraries\mahesh02-project-1_inferencing
            exit status 1
            Error compiling for board AI Thinker ESP32-CAM.

            • read more

          • This also happened to me when I was given a task from my company, So what I can recommend is:
            Ensure that the correct board, "AI Thinker ESP32-CAM," is selected in the Tools menu of your Arduino IDE.
            If the board is not listed, you may need to install it through the Board Manager. Search for "ESP32" and install the latest version.
            Ensure that necessary libraries like ESP32-CAM, WiFi, and HTTPClient are installed. You can install them through the Library Manager.

            Carefully check your code for typos, missing semicolons, or incorrect syntax.
            Verify that you're using the correct function names and parameters.

            • read more

          • Hi @PumpedMedusa, The rage is depends on the Antenna and how much TX power you have.

            To choose antenna, first you need figure out - where your nodes will be, take a look at the below image. The antenna act like a "torch" if you have more dbi that mean it's focus will be increase and it can reach more distance but the angle it have it less, like a laser.

            458a3da2-175a-4968-917c-56c5a1b763f8-image.png

            also, obstacle such as buildings, tress and mountains will affect the signal and deplete it.

            afe5eba4-b192-4263-8596-80c912fc1f23-image.png

            So, answer for you question - What is the best LoRa module to use for long distance network? - It's really depends on where you planning to put the nodes and how high you putting the gateway. Let me know know your thoughts.

            • read more

          • @Parves-DOMINO Did you able to solve the issue?

            • read more
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