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Add edgetpu_compiler checks #6218

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merged 7 commits into from
Jan 5, 2022
Merged

Add edgetpu_compiler checks #6218

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39066fe
Add `edgetpu_compiler` checks
glenn-jocher Jan 5, 2022
f6485ae
Update export.py
glenn-jocher Jan 5, 2022
37a3d9e
Update export.py
glenn-jocher Jan 5, 2022
68eb660
Update export.py
glenn-jocher Jan 5, 2022
0bc4550
Update export.py
glenn-jocher Jan 5, 2022
e01cc3c
Update export.py
glenn-jocher Jan 5, 2022
cc562c4
Update export.py
glenn-jocher Jan 5, 2022
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11 changes: 8 additions & 3 deletions export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@
import argparse
import json
import os
import platform
import subprocess
import sys
import time
Expand Down Expand Up @@ -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}"
Expand Down Expand Up @@ -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,
Expand Down