export.py replace check_file -> check_yaml (#8852)

* export.py replace `check_file` -> `check_yaml`

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

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

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2022-08-03 23:38:36 +02:00 committed by GitHub
parent 6884da3a32
commit 628c05ca6f
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -67,7 +67,7 @@ if platform.system() != 'Windows':
from models.experimental import attempt_load
from models.yolo import Detect
from utils.dataloaders import LoadImages
from utils.general import (LOGGER, check_dataset, check_file, check_img_size, check_requirements, check_version,
from utils.general import (LOGGER, check_dataset, check_img_size, check_requirements, check_version, check_yaml,
colorstr, file_size, print_args, url2file)
from utils.torch_utils import select_device
@ -371,7 +371,7 @@ def export_tflite(keras_model, im, file, int8, data, nms, agnostic_nms, prefix=c
converter.optimizations = [tf.lite.Optimize.DEFAULT]
if int8:
from models.tf import representative_dataset_gen
dataset = LoadImages(check_dataset(check_file(data))['train'], img_size=imgsz, auto=False)
dataset = LoadImages(check_dataset(check_yaml(data))['train'], img_size=imgsz, auto=False)
converter.representative_dataset = lambda: representative_dataset_gen(dataset, ncalib=100)
converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
converter.target_spec.supported_types = []