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# Copyright (c) 2019 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.
import os
import numpy as np
from ppdet.core.workspace import register, serializable
from .dataset import DetDataset
from ppdet.utils.logger import setup_logger
logger = setup_logger(__name__)
@register
@serializable
class WIDERFaceDataSet(DetDataset):
"""
Load WiderFace records with 'anno_path'
Args:
dataset_dir (str): root directory for dataset.
image_dir (str): directory for images.
anno_path (str): WiderFace annotation data.
data_fields (list): key name of data dictionary, at least have 'image'.
sample_num (int): number of samples to load, -1 means all.
with_lmk (bool): whether to load face landmark keypoint labels.
"""
def __init__(self,
dataset_dir=None,
image_dir=None,
anno_path=None,
data_fields=['image'],
sample_num=-1,
with_lmk=False):
super(WIDERFaceDataSet, self).__init__(
dataset_dir=dataset_dir,
image_dir=image_dir,
anno_path=anno_path,
data_fields=data_fields,
sample_num=sample_num,
with_lmk=with_lmk)
self.anno_path = anno_path
self.sample_num = sample_num
self.roidbs = None
self.cname2cid = None
self.with_lmk = with_lmk
def parse_dataset(self):
anno_path = os.path.join(self.dataset_dir, self.anno_path)
image_dir = os.path.join(self.dataset_dir, self.image_dir)
txt_file = anno_path
records = []
ct = 0
file_lists = self._load_file_list(txt_file)
cname2cid = widerface_label()
for item in file_lists:
im_fname = item[0]
im_id = np.array([ct])
gt_bbox = np.zeros((len(item) - 1, 4), dtype=np.float32)
gt_class = np.zeros((len(item) - 1, 1), dtype=np.int32)
gt_lmk_labels = np.zeros((len(item) - 1, 10), dtype=np.float32)
lmk_ignore_flag = np.zeros((len(item) - 1, 1), dtype=np.int32)
for index_box in range(len(item)):
if index_box < 1:
continue
gt_bbox[index_box - 1] = item[index_box][0]
if self.with_lmk:
gt_lmk_labels[index_box - 1] = item[index_box][1]
lmk_ignore_flag[index_box - 1] = item[index_box][2]
im_fname = os.path.join(image_dir,
im_fname) if image_dir else im_fname
widerface_rec = {
'im_file': im_fname,
'im_id': im_id,
} if 'image' in self.data_fields else {}
gt_rec = {
'gt_bbox': gt_bbox,
'gt_class': gt_class,
}
for k, v in gt_rec.items():
if k in self.data_fields:
widerface_rec[k] = v
if self.with_lmk:
widerface_rec['gt_keypoint'] = gt_lmk_labels
widerface_rec['keypoint_ignore'] = lmk_ignore_flag
if len(item) != 0:
records.append(widerface_rec)
ct += 1
if self.sample_num > 0 and ct >= self.sample_num:
break
assert len(records) > 0, 'not found any widerface in %s' % (anno_path)
logger.debug('{} samples in file {}'.format(ct, anno_path))
self.roidbs, self.cname2cid = records, cname2cid
def _load_file_list(self, input_txt):
with open(input_txt, 'r') as f_dir:
lines_input_txt = f_dir.readlines()
file_dict = {}
num_class = 0
exts = ['jpg', 'jpeg', 'png', 'bmp']
exts += [ext.upper() for ext in exts]
for i in range(len(lines_input_txt)):
line_txt = lines_input_txt[i].strip('\n\t\r')
split_str = line_txt.split(' ')
if len(split_str) == 1:
img_file_name = os.path.split(split_str[0])[1]
split_txt = img_file_name.split('.')
if len(split_txt) < 2:
continue
elif split_txt[-1] in exts:
if i != 0:
num_class += 1
file_dict[num_class] = [line_txt]
else:
if len(line_txt) <= 6:
continue
result_boxs = []
xmin = float(split_str[0])
ymin = float(split_str[1])
w = float(split_str[2])
h = float(split_str[3])
# Filter out wrong labels
if w < 0 or h < 0:
logger.warning('Illegal box with w: {}, h: {} in '
'img: {}, and it will be ignored'.format(
w, h, file_dict[num_class][0]))
continue
xmin = max(0, xmin)
ymin = max(0, ymin)
xmax = xmin + w
ymax = ymin + h
gt_bbox = [xmin, ymin, xmax, ymax]
result_boxs.append(gt_bbox)
if self.with_lmk:
assert len(split_str) > 18, 'When `with_lmk=True`, the number' \
'of characters per line in the annotation file should' \
'exceed 18.'
lmk0_x = float(split_str[5])
lmk0_y = float(split_str[6])
lmk1_x = float(split_str[8])
lmk1_y = float(split_str[9])
lmk2_x = float(split_str[11])
lmk2_y = float(split_str[12])
lmk3_x = float(split_str[14])
lmk3_y = float(split_str[15])
lmk4_x = float(split_str[17])
lmk4_y = float(split_str[18])
lmk_ignore_flag = 0 if lmk0_x == -1 else 1
gt_lmk_label = [
lmk0_x, lmk0_y, lmk1_x, lmk1_y, lmk2_x, lmk2_y, lmk3_x,
lmk3_y, lmk4_x, lmk4_y
]
result_boxs.append(gt_lmk_label)
result_boxs.append(lmk_ignore_flag)
file_dict[num_class].append(result_boxs)
return list(file_dict.values())
def widerface_label():
labels_map = {'face': 0}
return labels_map
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