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Add `edgetpu_compiler` checks (#6218) 

* Add `edgetpu_compiler` checks

* Update export.py

* Update export.py

* Update export.py

* Update export.py

* Update export.py

* Update export.py
pull/6228/head
Glenn Jocher 2022-01-05 14:55:04 -08:00 committed by GitHub
parent 00d7b97869
commit b4ac3df6ff
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1 changed files with 8 additions and 3 deletions
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export.py
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@ -41,6 +41,7 @@ TensorFlow.js:
import argparse
import json
import os
import platform
import subprocess
import sys
import time
@ -307,11 +308,15 @@ def export_tflite(keras_model, im, file, int8, data, ncalib, prefix=colorstr('Te
def export_edgetpu(keras_model, im, file, prefix=colorstr('Edge TPU:')):
# YOLOv5 Edge TPU export https://coral.ai/docs/edgetpu/models-intro/
try:
cmd = 'edgetpu_compiler --version' # install https://coral.ai/docs/edgetpu/compiler/
cmd = 'edgetpu_compiler --version'
help = 'See https://coral.ai/docs/edgetpu/compiler/'
assert platform.system() == 'Linux', f'export only supported on Linux. {help}'
assert subprocess.run(cmd, shell=True).returncode == 0, f'export requires edgetpu-compiler. {help}'
out = subprocess.run(cmd, shell=True, capture_output=True, check=True)
ver = out.stdout.decode().split()[-1]
LOGGER.info(f'\n{prefix} starting export with Edge TPU compiler {ver}...')
f = str(file).replace('.pt', '-int8_edgetpu.tflite')
f = str(file).replace('.pt', '-int8_edgetpu.tflite') # Edge TPU model
f_tfl = str(file).replace('.pt', '-int8.tflite') # TFLite model
cmd = f"edgetpu_compiler -s {f_tfl}"
@ -434,7 +439,7 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path'
# TensorFlow Exports
if any(tf_exports):
pb, tflite, edgetpu, tfjs = tf_exports[1:]
if (tflite or edgetpu) and int8: # TFLite --int8 bug https://github.com/ultralytics/yolov5/issues/5707
if int8 or edgetpu: # TFLite --int8 bug https://github.com/ultralytics/yolov5/issues/5707
check_requirements(('flatbuffers==1.12',)) # required before `import tensorflow`
assert not (tflite and tfjs), 'TFLite and TF.js models must be exported separately, please pass only one type.'
model = export_saved_model(model, im, file, dynamic, tf_nms=nms or agnostic_nms or tfjs,