Hello, I would recommend you that you should make a series of tutorial on performing semantic segmentation using transformers, and explaining various mechanisms such as attention, self-attention, positional encoding based mechanisms etc.
15:05 is there a reason you are using python 3.7? Version 3.8 introduced pickle protocol version 5 implementing PEP 574, that I think might help with this specific error you see in reduce(). Thank you for this video series! I did not know anything about ONNX before but it's a wonderful concept- providing not only interchangeable formats but also an optimized runtime. As always with binary data there are some elusive versioning gotchas
Hi, excellent topic. Look forward to next. I am interested in step after onnx, the actual deployment when acquiring microscope images and making the analyses. My missing step is from onnx to make a dll in C# which can be imported by IronPython. Any help/guide would be highly appreciated. Thanks.
Hello sir, I would like to extract data from an image which has tabular data with colours in background.can you please provide your suggestions like which procedure I can take
Unfortunately, this implementation from the git repository only saves the weights of the MaskRCNN, and not the entire model. So if anyone wants to take the .h5 file change to ONNX to port into an edge device like a Camera it will not work.
Skip to 13:52 for learning how to use the ONNX model for inference.
Hello, I would recommend you that you should make a series of tutorial on performing semantic segmentation using transformers, and explaining various mechanisms such as attention, self-attention, positional encoding based mechanisms etc.
15:05 is there a reason you are using python 3.7? Version 3.8 introduced pickle protocol version 5 implementing PEP 574, that I think might help with this specific error you see in reduce().
Thank you for this video series! I did not know anything about ONNX before but it's a wonderful concept- providing not only interchangeable formats but also an optimized runtime.
As always with binary data there are some elusive versioning gotchas
Hi, excellent topic. Look forward to next. I am interested in step after onnx, the actual deployment when acquiring microscope images and making the analyses. My missing step is from onnx to make a dll in C# which can be imported by IronPython. Any help/guide would be highly appreciated. Thanks.
I have the prediction result from loading *.ONNX file has different with result from AutoML C#. Could you please help me this case ?
Hello sir,
I would like to extract data from an image which has tabular data with colours in background.can you please provide your suggestions like which procedure I can take
Unfortunately, this implementation from the git repository only saves the weights of the MaskRCNN, and not the entire model. So if anyone wants to take the .h5 file change to ONNX to port into an edge device like a Camera it will not work.
dear Dr. can you make a video about siamese network?
¡Gracias!
Thank you very much.
onnx_model, _ = tf2onnx.convert.from_keras(loaded_keras_model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Sequential' object has no attribute 'output_names'