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dota_utils.py
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dota_utils.py
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import sys
import codecs
import numpy as np
import shapely.geometry as shgeo
import os
import re
import math
# import polyiou
"""
some basic functions which are useful for process DOTA data
"""
wordname_15 = ['plane', 'baseball-diamond', 'bridge', 'ground-track-field', 'small-vehicle', 'large-vehicle', 'ship', 'tennis-court',
'basketball-court', 'storage-tank', 'soccer-ball-field', 'roundabout', 'harbor', 'swimming-pool', 'helicopter']
def custombasename(fullname):
return os.path.basename(os.path.splitext(fullname)[0])
def GetFileFromThisRootDir(dir,ext = None):
allfiles = []
needExtFilter = (ext != None)
for root,dirs,files in os.walk(dir):
for filespath in files:
filepath = os.path.join(root, filespath)
extension = os.path.splitext(filepath)[1][1:]
if needExtFilter and extension in ext:
allfiles.append(filepath)
elif not needExtFilter:
allfiles.append(filepath)
return allfiles
def TuplePoly2Poly(poly):
outpoly = [poly[0][0], poly[0][1],
poly[1][0], poly[1][1],
poly[2][0], poly[2][1],
poly[3][0], poly[3][1]
]
return outpoly
def parse_dota_poly(filename):
"""
parse the dota ground truth in the format:
[(x1, y1), (x2, y2), (x3, y3), (x4, y4)]
"""
objects = []
#print('filename:', filename)
f = []
if (sys.version_info >= (3, 5)):
fd = open(filename, 'r')
f = fd
elif (sys.version_info >= 2.7):
fd = codecs.open(filename, 'r')
f = fd
# count = 0
while True:
line = f.readline()
# count = count + 1
# if count < 2:
# continue
if line:
splitlines = line.strip().split(' ')
object_struct = {}
### clear the wrong name after check all the data
#if (len(splitlines) >= 9) and (splitlines[8] in classname):
if (len(splitlines) < 9):
continue
if (len(splitlines) >= 9):
object_struct['name'] = splitlines[8]
if (len(splitlines) == 9):
object_struct['difficult'] = '0'
elif (len(splitlines) >= 10):
# if splitlines[9] == '1':
# if (splitlines[9] == 'tr'):
# object_struct['difficult'] = '1'
# else:
object_struct['difficult'] = splitlines[9]
# else:
# object_struct['difficult'] = 0
object_struct['poly'] = [(float(splitlines[0]), float(splitlines[1])),
(float(splitlines[2]), float(splitlines[3])),
(float(splitlines[4]), float(splitlines[5])),
(float(splitlines[6]), float(splitlines[7]))
]
gtpoly = shgeo.Polygon(object_struct['poly'])
object_struct['area'] = gtpoly.area
# poly = list(map(lambda x:np.array(x), object_struct['poly']))
# object_struct['long-axis'] = max(distance(poly[0], poly[1]), distance(poly[1], poly[2]))
# object_struct['short-axis'] = min(distance(poly[0], poly[1]), distance(poly[1], poly[2]))
# if (object_struct['long-axis'] < 15):
# object_struct['difficult'] = '1'
# global small_count
# small_count = small_count + 1
objects.append(object_struct)
else:
break
return objects
def parse_dota_poly2(filename):
"""
parse the dota ground truth in the format:
[x1, y1, x2, y2, x3, y3, x4, y4]
"""
objects = parse_dota_poly(filename)
for obj in objects:
obj['poly'] = TuplePoly2Poly(obj['poly'])
obj['poly'] = list(map(int, obj['poly']))
return objects
def parse_dota_rec(filename):
"""
parse the dota ground truth in the bounding box format:
"xmin, ymin, xmax, ymax"
"""
objects = parse_dota_poly(filename)
for obj in objects:
poly = obj['poly']
bbox = dots4ToRec4(poly)
obj['bndbox'] = bbox
return objects
## bounding box transfer for varies format
def dots4ToRec4(poly):
xmin, xmax, ymin, ymax = min(poly[0][0], min(poly[1][0], min(poly[2][0], poly[3][0]))), \
max(poly[0][0], max(poly[1][0], max(poly[2][0], poly[3][0]))), \
min(poly[0][1], min(poly[1][1], min(poly[2][1], poly[3][1]))), \
max(poly[0][1], max(poly[1][1], max(poly[2][1], poly[3][1])))
return xmin, ymin, xmax, ymax
def dots4ToRec8(poly):
xmin, ymin, xmax, ymax = dots4ToRec4(poly)
return xmin, ymin, xmax, ymin, xmax, ymax, xmin, ymax
#return dots2ToRec8(dots4ToRec4(poly))
def dots2ToRec8(rec):
xmin, ymin, xmax, ymax = rec[0], rec[1], rec[2], rec[3]
return xmin, ymin, xmax, ymin, xmax, ymax, xmin, ymax
def groundtruth2Task1(srcpath, dstpath):
filelist = GetFileFromThisRootDir(srcpath)
# names = [custombasename(x.strip())for x in filelist]
filedict = {}
for cls in wordname_15:
fd = open(os.path.join(dstpath, 'Task1_') + cls + r'.txt', 'w')
filedict[cls] = fd
for filepath in filelist:
objects = parse_dota_poly2(filepath)
subname = custombasename(filepath)
pattern2 = re.compile(r'__([\d+\.]+)__\d+___')
rate = re.findall(pattern2, subname)[0]
for obj in objects:
category = obj['name']
difficult = obj['difficult']
poly = obj['poly']
if difficult == '2':
continue
if rate == '0.5':
outline = custombasename(filepath) + ' ' + '1' + ' ' + ' '.join(map(str, poly))
elif rate == '1':
outline = custombasename(filepath) + ' ' + '0.8' + ' ' + ' '.join(map(str, poly))
elif rate == '2':
outline = custombasename(filepath) + ' ' + '0.6' + ' ' + ' '.join(map(str, poly))
filedict[category].write(outline + '\n')
def Task2groundtruth_poly(srcpath, dstpath):
thresh = 0.1
filedict = {}
Tasklist = GetFileFromThisRootDir(srcpath, '.txt')
for Taskfile in Tasklist:
idname = custombasename(Taskfile).split('_')[-1]
# idname = datamap_inverse[idname]
f = open(Taskfile, 'r')
lines = f.readlines()
for line in lines:
if len(line) == 0:
continue
# print('line:', line)
splitline = line.strip().split(' ')
filename = splitline[0]
confidence = splitline[1]
bbox = splitline[2:]
if float(confidence) > thresh:
if filename not in filedict:
# filedict[filename] = codecs.open(os.path.join(dstpath, filename + '.txt'), 'w', 'utf_16')
filedict[filename] = codecs.open(os.path.join(dstpath, filename + '.txt'), 'w')
# poly = util.dots2ToRec8(bbox)
poly = bbox
# filedict[filename].write(' '.join(poly) + ' ' + idname + '_' + str(round(float(confidence), 2)) + '\n')
# print('idname:', idname)
# filedict[filename].write(' '.join(poly) + ' ' + idname + '_' + str(round(float(confidence), 2)) + '\n')
filedict[filename].write(' '.join(poly) + ' ' + idname + '\n')
def polygonToRotRectangle(bbox):
"""
:param bbox: The polygon stored in format [x1, y1, x2, y2, x3, y3, x4, y4]
:return: Rotated Rectangle in format [cx, cy, w, h, theta]
"""
bbox = np.array(bbox,dtype=np.float32)
bbox = np.reshape(bbox,newshape=(2,4),order='F')
angle = math.atan2(-(bbox[0,1]-bbox[0,0]),bbox[1,1]-bbox[1,0])
center = [[0],[0]]
for i in range(4):
center[0] += bbox[0,i]
center[1] += bbox[1,i]
center = np.array(center,dtype=np.float32)/4.0
R = np.array([[math.cos(angle), -math.sin(angle)], [math.sin(angle), math.cos(angle)]], dtype=np.float32)
normalized = np.matmul(R.transpose(),bbox-center)
xmin = np.min(normalized[0,:])
xmax = np.max(normalized[0,:])
ymin = np.min(normalized[1,:])
ymax = np.max(normalized[1,:])
w = xmax - xmin + 1
h = ymax - ymin + 1
return [float(center[0]),float(center[1]),w,h,angle]
def cal_line_length(point1, point2):
return math.sqrt( math.pow(point1[0] - point2[0], 2) + math.pow(point1[1] - point2[1], 2))
def get_best_begin_point(coordinate):
x1 = coordinate[0][0]
y1 = coordinate[0][1]
x2 = coordinate[1][0]
y2 = coordinate[1][1]
x3 = coordinate[2][0]
y3 = coordinate[2][1]
x4 = coordinate[3][0]
y4 = coordinate[3][1]
xmin = min(x1, x2, x3, x4)
ymin = min(y1, y2, y3, y4)
xmax = max(x1, x2, x3, x4)
ymax = max(y1, y2, y3, y4)
combinate = [[[x1, y1], [x2, y2], [x3, y3], [x4, y4]], [[x2, y2], [x3, y3], [x4, y4], [x1, y1]],
[[x3, y3], [x4, y4], [x1, y1], [x2, y2]], [[x4, y4], [x1, y1], [x2, y2], [x3, y3]]]
dst_coordinate = [[xmin, ymin], [xmax, ymin], [xmax, ymax], [xmin, ymax]]
force = 100000000.0
force_flag = 0
for i in range(4):
temp_force = cal_line_length(combinate[i][0], dst_coordinate[0]) + cal_line_length(combinate[i][1],
dst_coordinate[
1]) + cal_line_length(
combinate[i][2], dst_coordinate[2]) + cal_line_length(combinate[i][3], dst_coordinate[3])
if temp_force < force:
force = temp_force
force_flag = i
if force_flag != 0:
print("choose one direction!")
return combinate[force_flag]