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evaluate_msra.py
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evaluate_msra.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import math
import cv2
import numpy as np
import sys
def rbox2polygon(rbox):
x_center=rbox[0]
y_center=rbox[1]
w=rbox[2]
h=rbox[3]
theta=rbox[4]
# let (x_center,y_center) be the (0,0)
x1_re=-w/2
y1_re=-h/2
x2_re=w/2
y2_re=-h/2
x3_re=w/2
y3_re=h/2
x4_re=-w/2
y4_re=h/2
x1=math.cos(theta)*x1_re-math.sin(theta)*y1_re+x_center
y1=math.cos(theta)*y1_re+math.sin(theta)*x1_re+y_center
x2=math.cos(theta)*x2_re-math.sin(theta)*y2_re+x_center
y2=math.cos(theta)*y2_re+math.sin(theta)*x2_re+y_center
x3=math.cos(theta)*x3_re-math.sin(theta)*y3_re+x_center
y3=math.cos(theta)*y3_re+math.sin(theta)*x3_re+y_center
x4=math.cos(theta)*x4_re-math.sin(theta)*y4_re+x_center
y4=math.cos(theta)*y4_re+math.sin(theta)*x4_re+y_center
polygon=[x1,y1,x2,y2,x3,y3,x4,y4]
return polygon
def polygon2rbox(polygon):
x_center=(polygon[0]+polygon[2]+polygon[4]+polygon[6])/4.0
y_center=(polygon[1]+polygon[3]+polygon[5]+polygon[7])/4.0
w=math.sqrt((polygon[0]-polygon[2])*(polygon[0]-polygon[2])+(polygon[1]-polygon[3])*(polygon[1]-polygon[3]))
h=math.sqrt((polygon[0]-polygon[6])*(polygon[0]-polygon[6])+(polygon[1]-polygon[7])*(polygon[1]-polygon[7]))
xx=(polygon[2]+polygon[4])/2.0
yy=(polygon[3]+polygon[5])/2.0
tan_theta=(yy-y_center+1e-6)/(xx-x_center+1e-6)
theta=math.atan(tan_theta)
rbox=[x_center,y_center,w,h,theta]
return rbox
def calculate_iou(bbox1, bbox2):
rbox1=polygon2rbox(bbox1)
# rotate_rbox1=[rbox1[0],rbox1[1],rbox1[3],rbox1[2]]
# rbox2=polygon2rbox(bbox2,expand=True)
rbox2=polygon2rbox(bbox2)
# if abs(rbox1[4]-rbox2[4])<=math.pi/8 or abs(abs(rbox1[4]-rbox2[4])-math.pi/4)<=math.pi/8:
if abs(abs(rbox1[4])-abs(rbox2[4]))<=math.pi/8:
# calculate iou
xmin1=rbox1[0]-rbox1[2]/2.0
ymin1=rbox1[1]-rbox1[3]/2.0
xmax1=rbox1[0]+rbox1[2]/2.0
ymax1=rbox1[1]+rbox1[3]/2.0
# rotate_xmin1=rotate_rbox1[0]-rotate_rbox1[2]/2.0
# rotate_ymin1=rotate_rbox1[1]-rotate_rbox1[3]/2.0
# rotate_xmax1=rotate_rbox1[0]+rotate_rbox1[2]/2.0
# rotate_ymax1=rotate_rbox1[1]+rotate_rbox1[3]/2.0
xmin2=rbox2[0]-rbox2[2]/2.0
ymin2=rbox2[1]-rbox2[3]/2.0
xmax2=rbox2[0]+rbox2[2]/2.0
ymax2=rbox2[1]+rbox2[3]/2.0
intersection = max(0, min(xmax1, xmax2) - max(xmin1, xmin2)) * max(0, min(ymax1, ymax2) - max(ymin1, ymin2))
# rotate_intersection = max(0, min(rotate_xmax1, xmax2) - max(rotate_xmin1, xmin2)) * max(0, min(rotate_ymax1, ymax2) - max(rotate_ymin1, ymin2))
area1=(xmax1-xmin1)*(ymax1-ymin1)
# rotate_area1=(rotate_xmax1-rotate_xmin1)*(rotate_ymax1-rotate_ymin1)
area2=(xmax2-xmin2)*(ymax2-ymin2)
# rotate_iou=float(rotate_intersection)/(rotate_area1+area2-rotate_intersection)
iou=float(intersection)/(area1+area2-intersection)
# iou=max(iou,rotate_iou)
else:
iou=0
return iou
if __name__ == '__main__':
# detection_results_dir='./msra_rbox/'
# detection_results_dir='/home/lvpengyuan/research/dssd_box.pytorch/outputs/imgs/td500/240/res/'
detection_results_dir='/home/lvpengyuan/research/cvpr18_code/car.pytorch/outputs/imgs/td500/240/res/'
gt_dir='/home/lvpengyuan/research/text/MSRA-TD500_ORI/test/'
count=0
tp=0
fp=0
tn=0
ta=0
for root, dirs, files in os.walk(detection_results_dir):
for file in files:
count=count+1
# print(count)
# print(file)
result_path=detection_results_dir+file
gt_path=gt_dir+file[4:len(file)-4]+'.gt'
result_fid=open(result_path,'r')
gt_fid=open(gt_path,'r')
result_boxes=[]
gt_boxes=[]
difficults=[]
for line in result_fid.readlines():
line=line.strip()
x1=int(line.split(',')[0])
y1=int(line.split(',')[1])
x2=int(line.split(',')[2])
y2=int(line.split(',')[3])
x3=int(line.split(',')[4])
y3=int(line.split(',')[5])
x4=int(line.split(',')[6])
y4=int(line.split(',')[7])
rbox_tmp=polygon2rbox([x1,y1,x2,y2,x3,y3,x4,y4])
# if float(rbox_tmp[2])/rbox_tmp[3]>2:
result_boxes.append([x1,y1,x2,y2,x3,y3,x4,y4])
# result_boxes.append([x1,y1,x2,y2,x3,y3,x4,y4])
for line in gt_fid.readlines():
line=line.strip()
difficult=int(line.split(' ')[1])
x1=float(line.split(' ')[2])
y1=float(line.split(' ')[3])
w=float(line.split(' ')[4])
h=float(line.split(' ')[5])
x_center=x1+w/2.0
y_center=y1+h/2.0
theta=float(line.split(' ')[6])
word_polygon=rbox2polygon([x_center,y_center,w,h,theta])
box=list(np.int0(word_polygon))
gt_boxes.append(box)
difficults.append(difficult)
ta=ta+len(result_boxes)
for i in range(len(gt_boxes)):
gt_box=gt_boxes[i]
difficult=difficults[i]
flag=0
for result in result_boxes:
iou=calculate_iou(gt_box, result)
if iou>=0.5:
flag=1
tp=tp+1
break
if flag==0 and difficult==0:
fp=fp+1
recall=float(tp)/(tp+fp)
precision=float(tp)/ta
f_measure=2*(precision*recall)/(precision+recall)
# recall=round(float(tp)/(tp+fp),2)
# precision=round(float(tp)/ta,2)
# f_measure=2*(precision*recall)/(precision+recall)
print('recall: '+str(recall))
print('precision: '+str(precision))
print('f_measure: '+str(f_measure))