Problem with ESP32-CAM

Help
#1

I’m trying to upload the image recognition code of edge impulse to ESP32CAM-MB and result this error:
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp: In function ‘void tflite::{anonymous}::EvalQuantizedPerChannel(TfLiteContext*, TfLiteNode*, const TfLiteDepthwiseConvParams&, const NodeData&, const TfLiteEvalTensor*, const TfLiteEvalTensor*, const TfLiteEvalTensor*, TfLiteEvalTensor*)’:
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1727:58: error: either all initializer clauses should be designated or none of them should be
1727 | .channels = input_depth, 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1731:59: error: either all initializer clauses should be designated or none of them should be
1731 | .channels = output_depth, 1
\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1733:80: error: either all initializer clauses should be designated or none of them should be
1733 | data_dims_t filter_dims = {.width = filter_width, .height = filter_height, 0, 0};
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp: In function ‘TfLiteStatus tflite::{anonymous}::Prepare(TfLiteContext*, TfLiteNode*)’:
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1836:67: error: either all initializer clauses should be designated or none of them should be
1836 | .channels = input->dims->data[3], 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1840:68: error: either all initializer clauses should be designated or none of them should be
1840 | .channels = output->dims->data[3], 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\depthwise_conv.cpp:1842:80: error: either all initializer clauses should be designated or none of them should be
1842 | data_dims_t filter_dims = {.width = filter_width, .height = filter_height, 0, 0};
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp: In function ‘TfLiteStatus tflite::{anonymous}::Prepare(TfLiteContext*, TfLiteNode*)’:
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1789:67: error: either all initializer clauses should be designated or none of them should be
1789 | .channels = input->dims->data[3], 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1793:68: error: either all initializer clauses should be designated or none of them should be
1793 | .channels = output->dims->data[3], 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1795:80: error: either all initializer clauses should be designated or none of them should be
1795 | data_dims_t filter_dims = {.width = filter_width, .height = filter_height, 0, 0};
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp: In function ‘void tflite::{anonymous}::EvalQuantizedPerChannel(TfLiteContext*, TfLiteNode*, const TfLiteConvParams&, const NodeData&, const TfLiteEvalTensor*, const TfLiteEvalTensor*, const TfLiteEvalTensor*, TfLiteEvalTensor*)’:
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1883:58: error: either all initializer clauses should be designated or none of them should be
1883 | .channels = input_depth, 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1887:59: error: either all initializer clauses should be designated or none of them should be
1887 | .channels = output_depth, 1
…\src\edge-impulse-sdk\tensorflow\lite\micro\kernels\conv.cpp:1889:80: error: either all initializer clauses should be designated or none of them should be
1889 | data_dims_t filter_dims = {.width = filter_width, .height = filter_height, 0, 0};

exit status 1

Compilation error: exit status 1

Can anyone help me?

#2

I have exactly the same problem.

#3

Hi @Delboise @FelipeBracco and welcome to the forum,

To better understand the problem you’re facing and ensure this isn’t a bug, I’d like to ask for more details about your hardware setup and the SDK versions being used?

Which microcontroller are you using? (e.g., ESP32-CAM, Seeed XIAO ESP32S3)?

What version of the Edge Impulse SDK are you using? (You can check this in the model_metadata.h file under EI_STUDIO_VERSION_MAJOR, EI_STUDIO_VERSION_MINOR, EI_STUDIO_VERSION_PATCH)

Best

Eoin