"Unsupported Java." and Using Custom Model Successfully about ncnn-android-yolov7 HOT 6 OPEN

Open your .param in Netron website : Then you'll see the convolution output names.

For your model, you may use : "/model.77/m.0/Conv_output_0" instead of "output" "/model.77/m.1/Conv_output_0" instead of "286" "/model.77/m.2/Conv_output_0" instead of "298"

dadin852

It worked!!

I greatly appreciate your help! It was extremely useful!

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Next, go to these reference :
https://youtu.be/PukcRMN-Hs0
https://youtu.be/gOvvzS1-RuI
https://blog.csdn.net/qq_43268106/article/details/127139216

Finally, we need to change output name to Convolution, instead of Permute :

Thank @xiang-wuu so much for this example!

from ncnn-android-yolov7.

Hi dadin852,

I followed the steps recommended by you and in the videos indicated, but I still have a problem. The application closes right after turning on the camera.
Using the weights available here in git (assets/yolov7-tiny.bin and yolov7-tiny.param) the application works normally on my cell phone.

Do you have any ideas to help me? Below is the modified excerpt from yolo.cpp

from ncnn-android-yolov7.

Seems that you're using Premute outputs. Would you try to set Convolution as outputs?

from ncnn-android-yolov7.

Seems that you're using Premute outputs. Would you try to set Convolution as outputs?

Thanks for your feedback dadin852!

Unfortunately, I don't think I have enough experience to make this change.

I'm exporting the trained weights from pytroch to onnx with the command:

python export.py --weights yolov7-tiny.pt --simplify --topk-all 100 --iou-thres 0.50 --conf-thres 0.15 --img-size 448 448 --max-wh 448

to export from onnx to ncnn use:
./onnx2ncnn yolov7-tiny.onnx yolov7-tiny.param yolov7-tiny.bin

Should the changes suggested by you be made directly in the generated .param file or in the onnx file?

Below I am sending the generated .param file.
yolov7-tiny.zip

from ncnn-android-yolov7.

Open your .param in Netron website :

Then you'll see the convolution output names.

For your model, you may use :
"/model.77/m.0/Conv_output_0" instead of "output"
"/model.77/m.1/Conv_output_0" instead of "286"
"/model.77/m.2/Conv_output_0" instead of "298"

from ncnn-android-yolov7.