Add TFLite Metadata to TFLite and Edge TPU models (#9903)

* added embedded meta data to tflite models

* added try block for inference

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* refactored tfite meta data into separate function

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* Creat tmp file in /tmp

* Update export.py

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* Update export.py

* Update export.py

* Update export.py

* Update export.py

* Update common.py

* Update export.py

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* Update common.py

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
authored and GitHub committed 2022-10-25 17:53:22 +02:00
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commit 54f49fa581
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@@ -3,10 +3,13 @@
Common modules
"""
import ast
import contextlib
import json
import math
import platform
import warnings
import zipfile
from collections import OrderedDict, namedtuple
from copy import copy
from pathlib import Path
@@ -462,6 +465,12 @@ class DetectMultiBackend(nn.Module):
interpreter.allocate_tensors() # allocate
input_details = interpreter.get_input_details() # inputs
output_details = interpreter.get_output_details() # outputs
# load metadata
with contextlib.suppress(zipfile.BadZipFile):
with zipfile.ZipFile(w, "r") as model:
meta_file = model.namelist()[0]
meta = ast.literal_eval(model.read(meta_file).decode("utf-8"))
stride, names = int(meta['stride']), meta['names']
elif tfjs: # TF.js
raise NotImplementedError('ERROR: YOLOv5 TF.js inference is not supported')
elif paddle: # PaddlePaddle