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ResultMerge.py
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ResultMerge.py
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"""
To use the code, users should to config detpath, annopath and imagesetfile
detpath is the path for 15 result files, for the format, you can refer to "http://captain.whu.edu.cn/DOTAweb/tasks.html"
search for PATH_TO_BE_CONFIGURED to config the paths
Note, the evaluation is on the large scale images
"""
import os
import numpy as np
import dota_utils as util
import re
import time
import polyiou
## the thresh for nms when merge image
nms_thresh = 0.3
def py_cpu_nms_poly(dets, thresh):
scores = dets[:, 8]
polys = []
areas = []
for i in range(len(dets)):
tm_polygon = polyiou.VectorDouble([dets[i][0], dets[i][1],
dets[i][2], dets[i][3],
dets[i][4], dets[i][5],
dets[i][6], dets[i][7]])
polys.append(tm_polygon)
order = scores.argsort()[::-1]
keep = []
while order.size > 0:
ovr = []
i = order[0]
keep.append(i)
for j in range(order.size - 1):
iou = polyiou.iou_poly(polys[i], polys[order[j + 1]])
ovr.append(iou)
ovr = np.array(ovr)
inds = np.where(ovr <= thresh)[0]
order = order[inds + 1]
return keep
def py_cpu_nms(dets, thresh):
"""Pure Python NMS baseline."""
#print('dets:', dets)
x1 = dets[:, 0]
y1 = dets[:, 1]
x2 = dets[:, 2]
y2 = dets[:, 3]
scores = dets[:, 4]
areas = (x2 - x1 + 1) * (y2 - y1 + 1)
## index for dets
order = scores.argsort()[::-1]
keep = []
while order.size > 0:
i = order[0]
keep.append(i)
xx1 = np.maximum(x1[i], x1[order[1:]])
yy1 = np.maximum(y1[i], y1[order[1:]])
xx2 = np.minimum(x2[i], x2[order[1:]])
yy2 = np.minimum(y2[i], y2[order[1:]])
w = np.maximum(0.0, xx2 - xx1 + 1)
h = np.maximum(0.0, yy2 - yy1 + 1)
inter = w * h
ovr = inter / (areas[i] + areas[order[1:]] - inter)
inds = np.where(ovr <= thresh)[0]
order = order[inds + 1]
return keep
def nmsbynamedict(nameboxdict, nms, thresh):
nameboxnmsdict = {x: [] for x in nameboxdict}
for imgname in nameboxdict:
#print('imgname:', imgname)
#keep = py_cpu_nms(np.array(nameboxdict[imgname]), thresh)
#print('type nameboxdict:', type(nameboxnmsdict))
#print('type imgname:', type(imgname))
#print('type nms:', type(nms))
keep = nms(np.array(nameboxdict[imgname]), thresh)
#print('keep:', keep)
outdets = []
#print('nameboxdict[imgname]: ', nameboxnmsdict[imgname])
for index in keep:
# print('index:', index)
outdets.append(nameboxdict[imgname][index])
nameboxnmsdict[imgname] = outdets
return nameboxnmsdict
def poly2origpoly(poly, x, y, rate):
origpoly = []
for i in range(int(len(poly)/2)):
tmp_x = float(poly[i * 2] + x) / float(rate)
tmp_y = float(poly[i * 2 + 1] + y) / float(rate)
origpoly.append(tmp_x)
origpoly.append(tmp_y)
return origpoly
def mergebase(srcpath, dstpath, nms):
filelist = util.GetFileFromThisRootDir(srcpath)
for fullname in filelist:
name = util.custombasename(fullname)
#print('name:', name)
dstname = os.path.join(dstpath, name + '.txt')
with open(fullname, 'r') as f_in:
nameboxdict = {}
lines = f_in.readlines()
splitlines = [x.strip().split(' ') for x in lines]
for splitline in splitlines:
subname = splitline[0]
splitname = subname.split('__')
oriname = splitname[0]
pattern1 = re.compile(r'__\d+___\d+')
#print('subname:', subname)
x_y = re.findall(pattern1, subname)
x_y_2 = re.findall(r'\d+', x_y[0])
x, y = int(x_y_2[0]), int(x_y_2[1])
pattern2 = re.compile(r'__([\d+\.]+)__\d+___')
rate = re.findall(pattern2, subname)[0]
confidence = splitline[1]
poly = list(map(float, splitline[2:]))
origpoly = poly2origpoly(poly, x, y, rate)
det = origpoly
det.append(confidence)
det = list(map(float, det))
if (oriname not in nameboxdict):
nameboxdict[oriname] = []
nameboxdict[oriname].append(det)
nameboxnmsdict = nmsbynamedict(nameboxdict, nms, nms_thresh)
with open(dstname, 'w') as f_out:
for imgname in nameboxnmsdict:
for det in nameboxnmsdict[imgname]:
#print('det:', det)
confidence = det[-1]
bbox = det[0:-1]
outline = imgname + ' ' + str(confidence) + ' ' + ' '.join(map(str, bbox))
#print('outline:', outline)
f_out.write(outline + '\n')
def mergebyrec(srcpath, dstpath):
"""
srcpath: result files before merge and nms
dstpath: result files after merge and nms
"""
# srcpath = r'E:\bod-dataset\results\bod-v3_rfcn_2000000'
# dstpath = r'E:\bod-dataset\results\bod-v3_rfcn_2000000_nms'
mergebase(srcpath,
dstpath,
py_cpu_nms)
def mergebypoly(srcpath, dstpath):
"""
srcpath: result files before merge and nms
dstpath: result files after merge and nms
"""
# srcpath = r'/home/dingjian/evaluation_task1/result/faster-rcnn-59/comp4_test_results'
# dstpath = r'/home/dingjian/evaluation_task1/result/faster-rcnn-59/testtime'
mergebase(srcpath,
dstpath,
py_cpu_nms_poly)
if __name__ == '__main__':
mergebypoly()
# mergebyrec()