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I have been able to appreciate significant performance increases utilizing Openvino for the models that I can covert, but my laptop does not seem to have enough ram (16 GB) to convert the large models…
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## 🌱 Describe your Feature Request
I am using coreml 3
- Basically what i am trying to do is to convert SRGAN super resolution model (pytorch) version into coreml to run it in ios app. But at the mo…
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Dear:
When I use convert in onnx-coreml, segmentation fault (core dumped)arises.
My model is A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention.
My code is…
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The example workflow works for me using e.g. using a converted dreamshaper_8.
However, if I convert an inpainting model (tried several, but e.g. sd-v1-5-inpainting.ckpt) to Core ML, I try to run th…
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## 🐞Describe the bug
If an ONNX model is created with `dynamic_axes` then the subsequent CoreML model surfaces
```sh
Description of image feature 'input_image' has missing or non-positive width…
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Supporting int8 quantized models is essential for mobile scenarios and in many NPU architectures. TensorFlow (Lite) and ONNX, for instances, have int8 quantization support built-in, and WebNN should t…
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OpenAI released Whisper-Turbo, which is a drop-in replacement for large, multilingual, 8x faster, less memory, but minimal degradation in performance.
https://github.com/openai/whisper
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Hey there,
I am getting the following error when converting a model using coreml.
: RuntimeError: PyTorch convert function for op 'pythonop' not implemented.
"PyTorch convert function for op '{}'…
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## 🐞Describe the bug
(1) I try to convert onnx model to mlmodel, but it's error:
Error while converting op of type: BatchNormalization. Error message: provided number axes -1 not supported
## Tra…
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# YOLOv8 Pose Models
![image](https://user-images.githubusercontent.com/26833433/239691398-d62692dc-713e-4207-9908-2f6710050e5c.jpg)
Pose estimation is a task that involves identifying the locatio…