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7aughing avatar 7aughing commented on June 1, 2024 1

我后续在转别的模型到tflite的时候，也遇到了这个问题，可能是环境的问题。我会按您的建议再试一下，谢谢！

from onnx_tflite_yolov3.

zldrobit avatar zldrobit commented on June 1, 2024

可否把你的操作步骤简要地贴出来，这样分析问题更方便。
WARNING是警告，按理不应该导致出错的。
从你的出错信息看，prep.py 21行是出错处，但master分支的代码是：

onnx_tflite_yolov3/prep.py

Lines 19 to 26 in dacbe33

conv_nodes = [n for n in sess.graph.get_operations() if n.type in ['Conv2D','MaxPool','AvgPool']]
for n_org in conv_nodes:
# print(n_org.name, n_org.type)
# Transpose input
assert len(n_org.inputs)==1 or len(n_org.inputs)==2
org_inp_tens = sess.graph.get_tensor_by_name(n_org.inputs[0].name)
inp_tens = tf.transpose(org_inp_tens, [0, 2, 3, 1], name=n_org.name +'_transp_input')
op_inputs = [inp_tens]

master分支代码与你使用的代码不一致。
或许你可以尝试一下在拉去镜像后，重新git clone master分支，再跑一下转换。

from onnx_tflite_yolov3.

zldrobit avatar zldrobit commented on June 1, 2024

另外，如果你希望使用YOLOv5，也有对应的tensorflow转换代码：
ultralytics/yolov5#1127

from onnx_tflite_yolov3.

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