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Traceback (most recent call last):
File "onnx2keras.py", line 642, in
Fire(main)
File "/usr/local/lib/python3.7/dist-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(…
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When running nosetests:
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ERROR: test_onnx2keras.TestOnnx.test_conv_padding
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During the SNN conversion of the model as defined below (see **Extract from the Model Definition**) the following key error (see **Error**) is raised on layer Flatten. Do you have any idea where I am …
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- **A description of what you are trying to do:** I am trying to convert a YOLOv3 Pytorch implementation to a SNN
- **Are you using the development or pypi version of the toolbox?** Yes
- **The con…
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I tried converting the CORnet-S (https://github.com/dicarlolab/CORnet/blob/master/cornet/cornet_s.py) model into an SNN model by following and modifying the MNIST Pytorch example (https://github.com/N…
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Please, anyway i can use this to go from ONNX to keras?????
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Here is a simple steps to get tensorflow (keras) model from onnx and it throws this error: `ValueError: Input 0 is incompatible with layer model: expected shape=(None, 3, 60, 60), found shape=(5, 60, …
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Hi again,
I have done this steps:
```python
onnx_model = onnx.load(FILE_PATH+"mnist_test.onnx")
k_model_onnx = onnx_to_keras(onnx_model, ['input_1'], name_policy="short")
k_model_onnx.summary()…
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Hi @cfzd,
thanks for the wonderful work
My objective was to run lane detection on edge devices like android and ios with very low latency. And your idea of Ultra-Fast-Lane-Detection fits very we…
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@PINTO0309 Hi,
Nice work with YOLOv4 / tiny!
As I see you use:
* **NCHW** for: OpenVINO (xml / bin), Darknet (cfg / weights)
* **NHWC** for: `TFLite`, `Keras` (yolov4_tiny_voc.json / yolov4_ti…