File size: 7,018 Bytes
7b7527a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 |
# 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
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="PICT",
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):
# build trainer
trainer = Trainer(cfg, mode='test')
# load weights
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()
|