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petewarden/convert_cc_to_tflite.py

Created February 27, 2020 23:55
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Example of converting a .cc TensorFlow Lite C data array file back into a binary flatbuffer on disk
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convert_cc_to_tflite.py
import re
output_data = bytearray()
with open('tensorflow/tensorflow/lite/micro/examples/magic_wand/magic_wand_model_data.cc', 'r') as file:
for line in file:
values_match = re.match(r"\W*(0x[0-9a-fA-F,x ]+).*", line)
if values_match:
list_text = values_match.group(1)
values_text = filter(None, list_text.split(","))
values = [int(x, base=16) for x in values_text]
output_data.extend(values)
with open('converted.tfl', 'wb') as output_file:
output_file.write(output_data)
@olivia1205
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Thank you, but why not i can open it with Netron or Is there a visual tool to open it?

@petewarden
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What error are you having when you try to open the result with Netron?

@olivia1205
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olivia1205 commented Feb 29, 2020 via email

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