更换文档检测模型
This commit is contained in:
237
paddle_detection/tools/infer.py
Normal file
237
paddle_detection/tools/infer.py
Normal file
@@ -0,0 +1,237 @@
|
||||
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from __future__ import absolute_import
|
||||
from __future__ import division
|
||||
from __future__ import print_function
|
||||
|
||||
import os
|
||||
import sys
|
||||
|
||||
# add python path of PaddleDetection to sys.path
|
||||
parent_path = os.path.abspath(os.path.join(__file__, *(['..'] * 2)))
|
||||
sys.path.insert(0, parent_path)
|
||||
|
||||
# ignore warning log
|
||||
import warnings
|
||||
warnings.filterwarnings('ignore')
|
||||
import glob
|
||||
import ast
|
||||
|
||||
import paddle
|
||||
from ppdet.core.workspace import load_config, merge_config
|
||||
from ppdet.engine import Trainer, Trainer_ARSL
|
||||
from ppdet.utils.check import check_gpu, check_npu, check_xpu, check_mlu, check_version, check_config
|
||||
from ppdet.utils.cli import ArgsParser, merge_args
|
||||
from ppdet.slim import build_slim_model
|
||||
|
||||
from ppdet.utils.logger import setup_logger
|
||||
logger = setup_logger('train')
|
||||
|
||||
|
||||
def parse_args():
|
||||
parser = ArgsParser()
|
||||
parser.add_argument(
|
||||
"--infer_dir",
|
||||
type=str,
|
||||
default=None,
|
||||
help="Directory for images to perform inference on.")
|
||||
parser.add_argument(
|
||||
"--infer_img",
|
||||
type=str,
|
||||
default=None,
|
||||
help="Image path, has higher priority over --infer_dir")
|
||||
parser.add_argument(
|
||||
"--output_dir",
|
||||
type=str,
|
||||
default="output",
|
||||
help="Directory for storing the output visualization files.")
|
||||
parser.add_argument(
|
||||
"--draw_threshold",
|
||||
type=float,
|
||||
default=0.5,
|
||||
help="Threshold to reserve the result for visualization.")
|
||||
parser.add_argument(
|
||||
"--slim_config",
|
||||
default=None,
|
||||
type=str,
|
||||
help="Configuration file of slim method.")
|
||||
parser.add_argument(
|
||||
"--use_vdl",
|
||||
type=bool,
|
||||
default=False,
|
||||
help="Whether to record the data to VisualDL.")
|
||||
parser.add_argument(
|
||||
'--vdl_log_dir',
|
||||
type=str,
|
||||
default="vdl_log_dir/image",
|
||||
help='VisualDL logging directory for image.')
|
||||
parser.add_argument(
|
||||
"--save_results",
|
||||
type=bool,
|
||||
default=False,
|
||||
help="Whether to save inference results to output_dir.")
|
||||
parser.add_argument(
|
||||
"--slice_infer",
|
||||
action='store_true',
|
||||
help="Whether to slice the image and merge the inference results for small object detection."
|
||||
)
|
||||
parser.add_argument(
|
||||
'--slice_size',
|
||||
nargs='+',
|
||||
type=int,
|
||||
default=[640, 640],
|
||||
help="Height of the sliced image.")
|
||||
parser.add_argument(
|
||||
"--overlap_ratio",
|
||||
nargs='+',
|
||||
type=float,
|
||||
default=[0.25, 0.25],
|
||||
help="Overlap height ratio of the sliced image.")
|
||||
parser.add_argument(
|
||||
"--combine_method",
|
||||
type=str,
|
||||
default='nms',
|
||||
help="Combine method of the sliced images' detection results, choose in ['nms', 'nmm', 'concat']."
|
||||
)
|
||||
parser.add_argument(
|
||||
"--match_threshold",
|
||||
type=float,
|
||||
default=0.6,
|
||||
help="Combine method matching threshold.")
|
||||
parser.add_argument(
|
||||
"--match_metric",
|
||||
type=str,
|
||||
default='ios',
|
||||
help="Combine method matching metric, choose in ['iou', 'ios'].")
|
||||
parser.add_argument(
|
||||
"--visualize",
|
||||
type=ast.literal_eval,
|
||||
default=True,
|
||||
help="Whether to save visualize results to output_dir.")
|
||||
args = parser.parse_args()
|
||||
return args
|
||||
|
||||
|
||||
def get_test_images(infer_dir, infer_img):
|
||||
"""
|
||||
Get image path list in TEST mode
|
||||
"""
|
||||
assert infer_img is not None or infer_dir is not None, \
|
||||
"--infer_img or --infer_dir should be set"
|
||||
assert infer_img is None or os.path.isfile(infer_img), \
|
||||
"{} is not a file".format(infer_img)
|
||||
assert infer_dir is None or os.path.isdir(infer_dir), \
|
||||
"{} is not a directory".format(infer_dir)
|
||||
|
||||
# infer_img has a higher priority
|
||||
if infer_img and os.path.isfile(infer_img):
|
||||
return [infer_img]
|
||||
|
||||
images = set()
|
||||
infer_dir = os.path.abspath(infer_dir)
|
||||
assert os.path.isdir(infer_dir), \
|
||||
"infer_dir {} is not a directory".format(infer_dir)
|
||||
exts = ['jpg', 'jpeg', 'png', 'bmp']
|
||||
exts += [ext.upper() for ext in exts]
|
||||
for ext in exts:
|
||||
images.update(glob.glob('{}/*.{}'.format(infer_dir, ext)))
|
||||
images = list(images)
|
||||
|
||||
assert len(images) > 0, "no image found in {}".format(infer_dir)
|
||||
logger.info("Found {} inference images in total.".format(len(images)))
|
||||
|
||||
return images
|
||||
|
||||
|
||||
def run(FLAGS, cfg):
|
||||
ssod_method = cfg.get('ssod_method', None)
|
||||
if ssod_method == 'ARSL':
|
||||
trainer = Trainer_ARSL(cfg, mode='test')
|
||||
trainer.load_weights(cfg.weights, ARSL_eval=True)
|
||||
else:
|
||||
trainer = Trainer(cfg, mode='test')
|
||||
trainer.load_weights(cfg.weights)
|
||||
# get inference images
|
||||
images = get_test_images(FLAGS.infer_dir, FLAGS.infer_img)
|
||||
|
||||
# inference
|
||||
if FLAGS.slice_infer:
|
||||
trainer.slice_predict(
|
||||
images,
|
||||
slice_size=FLAGS.slice_size,
|
||||
overlap_ratio=FLAGS.overlap_ratio,
|
||||
combine_method=FLAGS.combine_method,
|
||||
match_threshold=FLAGS.match_threshold,
|
||||
match_metric=FLAGS.match_metric,
|
||||
draw_threshold=FLAGS.draw_threshold,
|
||||
output_dir=FLAGS.output_dir,
|
||||
save_results=FLAGS.save_results,
|
||||
visualize=FLAGS.visualize)
|
||||
else:
|
||||
trainer.predict(
|
||||
images,
|
||||
draw_threshold=FLAGS.draw_threshold,
|
||||
output_dir=FLAGS.output_dir,
|
||||
save_results=FLAGS.save_results,
|
||||
visualize=FLAGS.visualize)
|
||||
|
||||
|
||||
def main():
|
||||
FLAGS = parse_args()
|
||||
cfg = load_config(FLAGS.config)
|
||||
merge_args(cfg, FLAGS)
|
||||
merge_config(FLAGS.opt)
|
||||
|
||||
# disable npu in config by default
|
||||
if 'use_npu' not in cfg:
|
||||
cfg.use_npu = False
|
||||
|
||||
# disable xpu in config by default
|
||||
if 'use_xpu' not in cfg:
|
||||
cfg.use_xpu = False
|
||||
|
||||
if 'use_gpu' not in cfg:
|
||||
cfg.use_gpu = False
|
||||
|
||||
# disable mlu in config by default
|
||||
if 'use_mlu' not in cfg:
|
||||
cfg.use_mlu = False
|
||||
|
||||
if cfg.use_gpu:
|
||||
place = paddle.set_device('gpu')
|
||||
elif cfg.use_npu:
|
||||
place = paddle.set_device('npu')
|
||||
elif cfg.use_xpu:
|
||||
place = paddle.set_device('xpu')
|
||||
elif cfg.use_mlu:
|
||||
place = paddle.set_device('mlu')
|
||||
else:
|
||||
place = paddle.set_device('cpu')
|
||||
|
||||
if FLAGS.slim_config:
|
||||
cfg = build_slim_model(cfg, FLAGS.slim_config, mode='test')
|
||||
|
||||
check_config(cfg)
|
||||
check_gpu(cfg.use_gpu)
|
||||
check_npu(cfg.use_npu)
|
||||
check_xpu(cfg.use_xpu)
|
||||
check_mlu(cfg.use_mlu)
|
||||
check_version()
|
||||
|
||||
run(FLAGS, cfg)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user