Manu Mathew

Hi arjunskumar, Please file an issue in the appropriate e2e forum to get your TIDL specific questions answered by the expert. https://e2e.ti.com/support/processors/f/791 (Make sure to add tags TIDL and TDA4...

>>another solution I looked into was having an iframe in the streamlit app. Could you elaborate on that please. I want to have label studio in the same tab.

I found that providing a key avoids the cropping issue: https://github.com/rchuzh99/streamlit-labelstudio/blob/master/streamlit_labelstudio/__init__.py#L44 Can you add **kwargs at the end of https://github.com/deneland/streamlit-labelstudio/blob/master/streamlit_labelstudio/__init__.py#L43 https://github.com/deneland/streamlit-labelstudio/blob/master/streamlit_labelstudio/__init__.py#L44 So that additional arguments can be passed? Thanks.

@deneland @w0ut0 Could you add the above enhancement and update the pip package please?

You can use this script for your custom compile model: https://github.com/TexasInstruments/edgeai-benchmark/blob/master/scripts/benchmark_custom.py https://github.com/TexasInstruments/edgeai-benchmark/blob/master/run_custom_pc.sh Several models are listed in that file for convenience. You can comment out all the models except yolov5,...

Comment out these datasets that are not needed in your case: https://github.com/TexasInstruments/edgeai-benchmark/blob/master/scripts/benchmark_custom.py#L151 Also set the dataset path appropriately: https://github.com/TexasInstruments/edgeai-benchmark/blob/master/scripts/benchmark_custom.py#L105 https://github.com/TexasInstruments/edgeai-benchmark/blob/master/scripts/benchmark_custom.py#L112 That should be enough.

compilation requires a set of images. edgeai-benchmark compilation works with datasets and it can also generate accuracy. You can provide your own dataset there instead of coco, but the data...

Is it possible to share your .onnx and .prototxt file so that we can take a look CC: @debapriyamaji

While we are waiting for @debapriyamaji to take a look at what you shared, you can try this: The compiled artifact is supposed to work in the EVM using the...

Make sure that you are using this configuration and that input_optimization is set to False: https://github.com/TexasInstruments/edgeai-benchmark/blob/master/scripts/benchmark_custom.py#L260 Several customers have questions about yolov5, so @debapriyamaji is integrating yolov5 into our https://github.com/TexasInstruments/edgeai-modelmaker...