Onnx2tf

Latest version: v1.27.1

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1.1.23

- `Resize`
- Support for models with opset<=10
- nanodet-plus-m_416.onnx
- [Conv layer shape wrong 15](https://github.com/PINTO0309/onnx2tf/issues/15)
![image](https://user-images.githubusercontent.com/33194443/202089442-457f56e9-1266-4c13-a45c-c77c50947c74.png)


onnx2tf -i nanodet-plus-m_416.onnx -prf replace.json


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.22...1.1.23

1.1.22

- Support for `GroupedConvolution`
- `GroupConv1D`, `GroupConv2D`, `GroupConv3D`
- regnet_x_400mf.onnx

|SeparableConv|GroupedConvolution|
|:-:|:-:|
|![image](https://user-images.githubusercontent.com/33194443/201817121-92714131-5cb0-47ae-b749-f7d3272ca088.png)|![image](https://user-images.githubusercontent.com/33194443/201817238-0881ba45-2729-4900-a4c8-ed2c69f98384.png)|

- Add `--disable_group_convolution option`

-dgc, --disable_group_convolution
Disable GroupConvolution and replace it with SeparableConvolution for
output to saved_model format.


**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.21...1.1.22

1.1.21

- `Resize`
- Support for processing when roi name and scale name are blank
- `Add`, `Div`, `Sub`, `Mul`, `MatMul`
- Added parameter transposition processing

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.20...1.1.21

1.1.20

- `QLinearConv`
- Support for 1D scale
- [1024 QLinearConv breaks when bias is a 1-D tensor](https://github.com/onnx/onnx-tensorflow/issues/1024)

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.19...1.1.20

1.1.19

- `QLinearConv`
- Bug fixes

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.18...1.1.19

1.1.18

- `Clip`
- Bug fixes https://github.com/PINTO0309/onnx2tf/commit/ff349250bd53e01b36cc1db5318c38749884df00
- [14 For min_value and max_value in Clip.py](https://github.com/PINTO0309/onnx2tf/issues/14)
- japan_PP-OCRv3_rec_infer.onnx

**Full Changelog**: https://github.com/PINTO0309/onnx2tf/compare/1.1.17...1.1.18

Page 69 of 86

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