person-reidentification-retail-0277

[alisher-ai]

Issue Type

Feature Request

OS

Ubuntu

OS architecture

x86_64

Programming Language

Python

Framework

TensorFlow

Download URL for ONNX / OpenVINO IR

https://docs.openvino.ai/latest/omz_models_model_person_reidentification_retail_0277.html

Convert Script

https://github.com/PINTO0309/openvino2tensorflow/blob/main/openvino2tensorflow/openvino2tensorflow.py

Description

I have tried converting the "person-reidentification-retail-0277" xml/bin file models. But could not convert after a long trial. Would you mind helping to convert this model into tensorflow?

In general, the layer output shapes seem weird. For example the output of layer "Gather_9248" seems not matching with the graph (from Netron): [1, 3, 128, 3] vs [1,3,256,128].

Relevant Log Output

ERROR: input_layer1 layer_id=91: KerasTensor(type_spec=TensorSpec(shape=(4, 64, 1, 64), dtype=tf.float32, name=None), name='tf.nn.relu_6/Relu:0', description="created by layer 'tf.nn.relu_6'")
ERROR: The trace log is below.
Traceback (most recent call last):
  File "./openvino2tensorflow/openvino2tensorflow/openvino2tensorflow.py", line 878, in convert
    tf_layers_dict[layer_id] = tf.nn.conv2d(
  File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/usr/local/lib/python3.8/dist-packages/keras/layers/core/tf_op_layer.py", line 107, in handle
    return TFOpLambda(op)(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 67, in error_handler
    raise e.with_traceback(filtered_tb) from None
ValueError: Exception encountered when calling layer "tf.nn.conv2d" (type TFOpLambda).

Negative dimension size caused by subtracting 64 from 1 for '{{node tf.nn.conv2d/Conv2D}} = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], explicit_paddings=[], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](tf.nn.conv2d/Conv2D/input, Placeholder)' with input shapes: [64,4,1,1], [4,64,1,64].

Call arguments received by layer "tf.nn.conv2d" (type TFOpLambda):
  • input=tf.Tensor(shape=(64, 4, 1, 1), dtype=float32)
  • filters=tf.Tensor(shape=(4, 64, 1, 64), dtype=float32)
  • strides=['1', '1']
  • padding='VALID'
  • data_format=NHWC
  • dilations=['1', '1']
  • name=None
ERROR: Please refer to 6-7 in the README first. https://github.com/PINTO0309/openvino2tensorflow

Source code for simple inference testing code

No response

[PINTO0309]

The converted model is committed here. You do not need to convert it yourself. https://github.com/PINTO0309/PINTO_model_zoo/tree/main/083_Person_Reidentification

[alisher-ai]

Oh, this is nice!! Thank you so much!

(closing the issue)