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Handle edgetpu model inference (#5372) 

* Handle edgetpu model inference

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Cleanup

Rename `tflite_runtime.interpreter as tflite` to `tflite_runtime.interpreter as tflri` to avoid conflict with existing `tflite` boolean

Co-authored-by: Nam Vu <nam@glodonusa.com>
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>
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Nam Vu 2021-11-04 05:33:25 -05:00 committed by GitHub
parent 5866646cc8
commit ac2c49a2bb
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1 changed files with 9 additions and 1 deletions
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8
detect.py
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@ -8,6 +8,7 @@ Usage:
import argparse import argparse
import os import os
import platform
import sys import sys
from pathlib import Path from pathlib import Path
@ -107,6 +108,13 @@ def run(weights=ROOT / 'yolov5s.pt', # model.pt path(s)
elif saved_model: elif saved_model:
model = tf.keras.models.load_model(w) model = tf.keras.models.load_model(w)
elif tflite: elif tflite:
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 = tf.lite.Interpreter(model_path=w) # load TFLite model
interpreter.allocate_tensors() # allocate interpreter.allocate_tensors() # allocate
input_details = interpreter.get_input_details() # inputs input_details = interpreter.get_input_details() # inputs