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Add --int8 argument #4799

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merged 3 commits into from
Sep 15, 2021
Merged

Add --int8 argument #4799

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6dc4737
Add `--int8` argument
glenn-jocher Sep 15, 2021
6bf0d52
parents[0] bug fix
glenn-jocher Sep 15, 2021
e9c29ba
Fix order
glenn-jocher Sep 15, 2021
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13 changes: 8 additions & 5 deletions export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,8 @@

FILE = Path(__file__).resolve()
ROOT = FILE.parents[0] # yolov5/ dir
sys.path.append(ROOT.as_posix()) # add yolov5/ to path
if str(ROOT) not in sys.path:
sys.path.append(str(ROOT)) # add ROOT to PATH

from models.common import Conv
from models.experimental import attempt_load
Expand Down Expand Up @@ -174,7 +175,7 @@ def export_pb(keras_model, im, file, prefix=colorstr('TensorFlow GraphDef:')):
print(f'\n{prefix} export failure: {e}')


def export_tflite(keras_model, im, file, tfl_int8, data, ncalib, prefix=colorstr('TensorFlow Lite:')):
def export_tflite(keras_model, im, file, int8, data, ncalib, prefix=colorstr('TensorFlow Lite:')):
# YOLOv5 TensorFlow Lite export
try:
import tensorflow as tf
Expand All @@ -187,7 +188,7 @@ def export_tflite(keras_model, im, file, tfl_int8, data, ncalib, prefix=colorstr
converter = tf.lite.TFLiteConverter.from_keras_model(keras_model)
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS]
converter.optimizations = [tf.lite.Optimize.DEFAULT]
if tfl_int8:
if int8:
dataset = LoadImages(check_dataset(data)['train'], img_size=imgsz, auto=False) # representative data
converter.representative_dataset = lambda: representative_dataset_gen(dataset, ncalib)
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
Expand Down Expand Up @@ -234,7 +235,8 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path'
inplace=False, # set YOLOv5 Detect() inplace=True
train=False, # model.train() mode
optimize=False, # TorchScript: optimize for mobile
dynamic=False, # ONNX: dynamic axes
int8=False, # CoreML/TF INT8 quantization
dynamic=False, # ONNX/TF: dynamic axes
simplify=False, # ONNX: simplify model
opset=12, # ONNX: opset version
):
Expand Down Expand Up @@ -288,7 +290,7 @@ def run(data=ROOT / 'data/coco128.yaml', # 'dataset.yaml path'
if pb or tfjs: # pb prerequisite to tfjs
export_pb(model, im, file)
if tflite:
export_tflite(model, im, file, tfl_int8=False, data=data, ncalib=100)
export_tflite(model, im, file, int8=int8, data=data, ncalib=100)
if tfjs:
export_tfjs(model, im, file)

Expand All @@ -309,6 +311,7 @@ def parse_opt():
parser.add_argument('--inplace', action='store_true', help='set YOLOv5 Detect() inplace=True')
parser.add_argument('--train', action='store_true', help='model.train() mode')
parser.add_argument('--optimize', action='store_true', help='TorchScript: optimize for mobile')
parser.add_argument('--int8', action='store_true', help='CoreML/TF INT8 quantization')
parser.add_argument('--dynamic', action='store_true', help='ONNX/TF: dynamic axes')
parser.add_argument('--simplify', action='store_true', help='ONNX: simplify model')
parser.add_argument('--opset', type=int, default=13, help='ONNX: opset version')
Expand Down