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#
# 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.
#
# Reference: https://github.com/CAPTAIN-WHU/DOTA_devkit
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import math
import copy
from numbers import Number
from multiprocessing import Pool
import cv2
import numpy as np
from tqdm import tqdm
import shapely.geometry as shgeo
def choose_best_pointorder_fit_another(poly1, poly2):
"""
To make the two polygons best fit with each point
"""
x1, y1, x2, y2, x3, y3, x4, y4 = poly1
combinate = [
np.array([x1, y1, x2, y2, x3, y3, x4, y4]),
np.array([x2, y2, x3, y3, x4, y4, x1, y1]),
np.array([x3, y3, x4, y4, x1, y1, x2, y2]),
np.array([x4, y4, x1, y1, x2, y2, x3, y3])
]
dst_coordinate = np.array(poly2)
distances = np.array(
[np.sum((coord - dst_coordinate)**2) for coord in combinate])
sorted = distances.argsort()
return combinate[sorted[0]]
def cal_line_length(point1, point2):
return math.sqrt(
math.pow(point1[0] - point2[0], 2) + math.pow(point1[1] - point2[1], 2))
class SliceBase(object):
def __init__(self,
gap=512,
subsize=1024,
thresh=0.7,
choosebestpoint=True,
ext='.png',
padding=True,
num_process=8,
image_only=False):
self.gap = gap
self.subsize = subsize
self.slide = subsize - gap
self.thresh = thresh
self.choosebestpoint = choosebestpoint
self.ext = ext
self.padding = padding
self.num_process = num_process
self.image_only = image_only
def get_windows(self, height, width):
windows = []
left, up = 0, 0
while (left < width):
if (left + self.subsize >= width):
left = max(width - self.subsize, 0)
up = 0
while (up < height):
if (up + self.subsize >= height):
up = max(height - self.subsize, 0)
right = min(left + self.subsize, width - 1)
down = min(up + self.subsize, height - 1)
windows.append((left, up, right, down))
if (up + self.subsize >= height):
break
else:
up = up + self.slide
if (left + self.subsize >= width):
break
else:
left = left + self.slide
return windows
def slice_image_single(self, image, windows, output_dir, output_name):
image_dir = os.path.join(output_dir, 'images')
for (left, up, right, down) in windows:
image_name = output_name + str(left) + '___' + str(up) + self.ext
subimg = copy.deepcopy(image[up:up + self.subsize, left:left +
self.subsize])
h, w, c = subimg.shape
if (self.padding):
outimg = np.zeros((self.subsize, self.subsize, 3))
outimg[0:h, 0:w, :] = subimg
cv2.imwrite(os.path.join(image_dir, image_name), outimg)
else:
cv2.imwrite(os.path.join(image_dir, image_name), subimg)
def iof(self, poly1, poly2):
inter_poly = poly1.intersection(poly2)
inter_area = inter_poly.area
poly1_area = poly1.area
half_iou = inter_area / poly1_area
return inter_poly, half_iou
def translate(self, poly, left, up):
n = len(poly)
out_poly = np.zeros(n)
for i in range(n // 2):
out_poly[i * 2] = int(poly[i * 2] - left)
out_poly[i * 2 + 1] = int(poly[i * 2 + 1] - up)
return out_poly
def get_poly4_from_poly5(self, poly):
distances = [
cal_line_length((poly[i * 2], poly[i * 2 + 1]),
(poly[(i + 1) * 2], poly[(i + 1) * 2 + 1]))
for i in range(int(len(poly) / 2 - 1))
]
distances.append(
cal_line_length((poly[0], poly[1]), (poly[8], poly[9])))
pos = np.array(distances).argsort()[0]
count = 0
out_poly = []
while count < 5:
if (count == pos):
out_poly.append(
(poly[count * 2] + poly[(count * 2 + 2) % 10]) / 2)
out_poly.append(
(poly[(count * 2 + 1) % 10] + poly[(count * 2 + 3) % 10]) /
2)
count = count + 1
elif (count == (pos + 1) % 5):
count = count + 1
continue
else:
out_poly.append(poly[count * 2])
out_poly.append(poly[count * 2 + 1])
count = count + 1
return out_poly
def slice_anno_single(self, annos, windows, output_dir, output_name):
anno_dir = os.path.join(output_dir, 'labelTxt')
for (left, up, right, down) in windows:
image_poly = shgeo.Polygon(
[(left, up), (right, up), (right, down), (left, down)])
anno_file = output_name + str(left) + '___' + str(up) + '.txt'
with open(os.path.join(anno_dir, anno_file), 'w') as f:
for anno in annos:
gt_poly = shgeo.Polygon(
[(anno['poly'][0], anno['poly'][1]),
(anno['poly'][2], anno['poly'][3]),
(anno['poly'][4], anno['poly'][5]),
(anno['poly'][6], anno['poly'][7])])
if gt_poly.area <= 0:
continue
inter_poly, iof = self.iof(gt_poly, image_poly)
if iof == 1:
final_poly = self.translate(anno['poly'], left, up)
elif iof > 0:
inter_poly = shgeo.polygon.orient(inter_poly, sign=1)
out_poly = list(inter_poly.exterior.coords)[0:-1]
if len(out_poly) < 4 or len(out_poly) > 5:
continue
final_poly = []
for p in out_poly:
final_poly.append(p[0])
final_poly.append(p[1])
if len(out_poly) == 5:
final_poly = self.get_poly4_from_poly5(final_poly)
if self.choosebestpoint:
final_poly = choose_best_pointorder_fit_another(
final_poly, anno['poly'])
final_poly = self.translate(final_poly, left, up)
final_poly = np.clip(final_poly, 1, self.subsize)
else:
continue
outline = ' '.join(list(map(str, final_poly)))
if iof >= self.thresh:
outline = outline + ' ' + anno['name'] + ' ' + str(anno[
'difficult'])
else:
outline = outline + ' ' + anno['name'] + ' ' + '2'
f.write(outline + '\n')
def slice_data_single(self, info, rate, output_dir):
file_name = info['image_file']
base_name = os.path.splitext(os.path.split(file_name)[-1])[0]
base_name = base_name + '__' + str(rate) + '__'
img = cv2.imread(file_name)
if img.shape == ():
return
if (rate != 1):
resize_img = cv2.resize(
img, None, fx=rate, fy=rate, interpolation=cv2.INTER_CUBIC)
else:
resize_img = img
height, width, _ = resize_img.shape
windows = self.get_windows(height, width)
self.slice_image_single(resize_img, windows, output_dir, base_name)
if not self.image_only:
annos = info['annotation']
for anno in annos:
anno['poly'] = list(map(lambda x: rate * x, anno['poly']))
self.slice_anno_single(annos, windows, output_dir, base_name)
def check_or_mkdirs(self, path):
if not os.path.exists(path):
os.makedirs(path, exist_ok=True)
def slice_data(self, infos, rates, output_dir):
"""
Args:
infos (list[dict]): data_infos
rates (float, list): scale rates
output_dir (str): output directory
"""
if isinstance(rates, Number):
rates = [rates, ]
self.check_or_mkdirs(output_dir)
self.check_or_mkdirs(os.path.join(output_dir, 'images'))
if not self.image_only:
self.check_or_mkdirs(os.path.join(output_dir, 'labelTxt'))
pbar = tqdm(total=len(rates) * len(infos), desc='slicing data')
if self.num_process <= 1:
for rate in rates:
for info in infos:
self.slice_data_single(info, rate, output_dir)
pbar.update()
else:
pool = Pool(self.num_process)
for rate in rates:
for info in infos:
pool.apply_async(
self.slice_data_single, (info, rate, output_dir),
callback=lambda x: pbar.update())
pool.close()
pool.join()
pbar.close()
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