Aravinth K

Hi , I also encountered same issue and used update version of ClearML . My Error Log : Traceback (most recent call last): File "C:\Users\30863\Project\dataset\yolov5\train.py", line 630, in main(opt) File...

> The torch.jit.mobile has a [_backport_for_mobile](https://cs.github.com/pytorch/pytorch/blob/730fef25c71dfb7c7d3f403df48541cc0aac154d/torch/jit/mobile/__init__.py#L139) function to "backport" a model to a given version > > ``` > from torch.jit.mobile import ( > _backport_for_mobile, > _get_model_bytecode_version, > ) >...

I also encountered this issue, I can't get idea about resolving. I'm working on an object detection project using yolov5 model and custom datasets. I followed this tutorial. [https://github.com/pytorch/android-demo-app/tree/master/ObjectDetection](https://github.com/pytorch/android-demo-app/issues/url) I...

Hi, Great thanks for your response. Sorry I am fresh for this ( Pytorch, Tensorflow, etc) I didn't get your exact point. How do checks input & output tensor shapes...

I try to catch input and output tensor shapes in my understading ,given below then I did changes in prepostprocessor.java But till get same issue please anyone help for resolve...

Thankyou @Absentation, You are answer helped to resolve my issue. I fix this issue, just I upadate on " implementation 'org.pytorch:pytorch_android_lite:1.12.1' implementation 'org.pytorch:pytorch_android_torchvision_lite:1.10.0' in my build.gradle file. it's work for...

please try this comment " ### python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300 " to train the your model then export the model...

I encounter the same signs regularly; can anyone offer any assistance? @sidvenu Thanks in advanced.

I need this app in landscape mode So I change this### android:rotation="270" line in texture_view.xml file, it did change the portait to landscape on camera view. But I can't fix...

Please try that below lines , It's work for me. final Tensor inputTensor = TensorImageUtils.bitmapToFloat32Tensor(resizedBitmap, PrePostProcessor.NO_MEAN_RGB, PrePostProcessor.NO_STD_RGB); IValue[] outputTuple = mModule.forward(IValue.from(inputTensor)).toTuple(); final Tensor outputTensor = outputTuple[0].toTensor(); final float[] outputs =...