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Handle edgetpu model inference #5372

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merged 3 commits into from
Nov 4, 2021
Merged

Handle edgetpu model inference #5372

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82b5231
Handle edgetpu model inference
Oct 27, 2021
2441ac0
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Nov 3, 2021
6904180
Cleanup
glenn-jocher Nov 3, 2021
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10 changes: 9 additions & 1 deletion detect.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@

import argparse
import os
import platform
import sys
from pathlib import Path

Expand Down Expand Up @@ -107,7 +108,14 @@ def wrap_frozen_graph(gd, inputs, outputs):
elif saved_model:
model = tf.keras.models.load_model(w)
elif tflite:
interpreter = tf.lite.Interpreter(model_path=w) # load TFLite model
if "edgetpu" in w: # https://www.tensorflow.org/lite/guide/python#install_tensorflow_lite_for_python
import tflite_runtime.interpreter as tflri
delegate = {'Linux': 'libedgetpu.so.1', # install libedgetpu https://coral.ai/software/#edgetpu-runtime
'Darwin': 'libedgetpu.1.dylib',
'Windows': 'edgetpu.dll'}[platform.system()]
interpreter = tflri.Interpreter(model_path=w, experimental_delegates=[tflri.load_delegate(delegate)])
else:
interpreter = tf.lite.Interpreter(model_path=w) # load TFLite model
interpreter.allocate_tensors() # allocate
input_details = interpreter.get_input_details() # inputs
output_details = interpreter.get_output_details() # outputs
Expand Down