Error generating a makefile Code Generation to Jetson

function tinyyolov4cocoDetect(cameraName,resolution)
%#codegen
%   Copyright 2022 The MathWorks, Inc.

persistent yolov4Obj;

if isempty(yolov4Obj)
    yolov4Obj = coder.loadDeepLearningNetwork('tinyyolov4coco.mat');
end

% Initialize the Jetson camera object
hwobj = jetson;
camObj = camera(hwobj,cameraName,resolution);
dispObj = imageDisplay(hwobj);

for k = 1:10000
    % Capture the image from the Jetson camera hardware.
    I = snapshot(camObj);
        
    % Call to detect method
    [bboxes, ~, labels] = detect(yolov4Obj, I, 'Threshold', 0.3);
    
    % Convert categorical labels to cell array of character vectors
    labels = cellstr(labels);
    
    % Annotate detections in the image.
    outImg = insertObjectAnnotation(I, 'rectangle', bboxes, labels);
    rotatedImg = imrotate(outImg, 90);  % Specify the angle of rotation
    image(dispObj, rotatedImg);
    
end


end

This is my code.

codegen('-config ',cfg,'-args',inputArgs,'tinyyolov4cocoDetect','-report');

Error generating Makefile while generating code for network tinyyolov4coco0_0. The system cannot find

the file specified.

Code generation failed: View Error Report

How to fix this error?

[Ahmed Tamer]

Answer 1

[Ram Kokku]

@Ahmed Tamer, can you check the following

1. does your current directory path (full path) have any spaces or non-ascii characters? if yes, can you try generating code from a directory that does not have spaces or non-ascii characters
2. does your current directory have write permissions?

[Ahmed Tamer]

How to know if it has write permissions or not?

[Ahmed Tamer]

"E:\Implement\yolo\tinyyolov4coco.mat" --> This is the directroy that has the network file.

[Ahmed Tamer]

I double checked. They have write permissions and full modify permission as well. + There is no space in my directory as shown.

[Ahmed Tamer]

@Ram Kokku I provided you my path actually. Is that what you mean?

[Ahmed Tamer]

@Ram Kokku I tried what you said. No progress.

Also when I checked :

results = coder.checkGpuInstall(envCfg)

Compatible GPU : PASSED (Warning: Support for GPU devices with Compute Capability 5.3 will be removed in a future MATLAB release. For more information on GPU support, see GPU Support by Release.)

CUDA Environment : PASSED

Runtime : PASSED

cuFFT : PASSED

cuSOLVER : PASSED

cuBLAS : PASSED

cuDNN Environment : PASSED (Warning: Deep learning code generation has been tested with cuDNN v8.7. The provided cuDNN library v8.2 may not be fully compatible.)

Deep Learning (cuDNN) Code Generation: FAILED (GPU code generation failed with the error 'emlc:compilationError'. View report for further information: View report)

It's FAILED here. What should I do?

[Ram Kokku]

@Ahmed Tamer, we need to look at this in more detail. We will follow up with you tomorrow.

[Ahmed Tamer]

@Ram Kokku Thanks for the follow-up. Will wait for you as It is a crticial part in my Bachelor Thesis. Thanks!

[Ahmed Tamer]

Hi, I did some deep debugging and I fixed this error. Thank you very much for your responses