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NMS.py
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195 lines (158 loc) · 6.52 KB
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# -*- coding: utf-8 -*-
# @Author : tslgithub
# @Email : mymailwith163@163.com
# @Time : 19-5-9 上午10:55
# @File : NMS.py
# @Software: PyCharm
import numpy as np
import cv2,copy
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw, ImageFont
def write(img,name):
cv2.imwrite('tmp/'+str(name)+'.jpg',img)
def Box():
ax,ay = 0,0
step_pix = 5
step_pix_B = 10
size = 1000
size_plt = 500
aw,ah = 400,400
bw,bh = 100,100
fps = 10
video_size = (size, size+size_plt)
videowriter = cv2.VideoWriter("./NMS.avi", cv2.VideoWriter_fourcc(*'mp4v'), fps, video_size)
back_tmp = np.ones((size,size),dtype='uint8')*255
write(back_tmp,'back')
back_tmp = cv2.imread('tmp/back.jpg')
back_tmp = cv2.resize(back_tmp,(size,size))
x,y,x_line,y_line =[], [],[0],[0]
y_line2 = [0]
back_plt = cv2.resize(back_tmp,(size,size_plt))
back_plt_no_NMS = cv2.resize(back_tmp,(size,size_plt))
# back_plt = cv2.threshold(back_plt,127,255,cv2.THRESH_BINARY_INV)[-1]
for s in range(1,int(size/step_pix)):
new_ax = ax+(s-1)*step_pix
new_ay = ay+(s-1)*step_pix
new_bx = size - (ax+(s-1)*step_pix_B)-bw
new_by = size - (ay+(s-1)*step_pix_B)-bh
back = copy.copy(back_tmp)
cx = new_bx
cy = new_by
cw = new_ax+aw-(new_bx)
ch = new_ay+aw-(new_by)
if cw>bw and ch>bh:
cw = bw
ch = bh
if cx<new_ax and cy<new_ay:
cx = new_ax
cy = new_ay
cw = new_bx+bw-new_ax
ch = new_by+bh-new_ay
size_a = aw * ah
size_b = bw * bh
if cw<0 or ch<0:
cw = 0
min_size = 0
else:
min_size = min(size_a,size_b)
# size_c = cw*ch
# IOU = size_c/min(size_a,size_b)
# IOU2 = size_c/(size_a+size_b-size_c)
# print(IOU,IOU2)
# x.append(s)
# y.append(size_c/10000)
#
# x_line.append(step_pix *s )
# y_line.append(int(size_c/100))
#
# color = (0,0,0)
# if y_line[s]>50:
# color = (0,0,255)
# # c_color = []
#
# cv2.line(back_plt, (x_line[s-1], size_plt-y_line[s-1]),(x_line[s],size_plt-y_line[s]),color,5 )
# cv2.line(back_plt_no_NMS,(x_line[s-1], size_plt-y_line[s-1]),(x_line[s],size_plt-y_line[s]),color,5 )
size_c = cw * ch
IOU = size_c / min(size_a, size_b)
IOU2 = size_c / (size_a + size_b - size_c)
print(IOU, IOU2)
# x.append(s)
# y.append(IOU*10)
x_line.append(step_pix * s)
y_line.append(int(IOU*size_plt*0.7))
y_line2.append(int(IOU2*size_plt*0.7))
color = (0, 0, 0)
color_no_NMS = (0, 0, 0)
# if y_line[s] > 50:
if IOU >= 0.5:
color = (0, 0, 255)
if IOU2 >= 0.5:
color_no_NMS = (0, 0, 255)
cv2.line(back_plt, (x_line[s - 1], size_plt - y_line[s - 1]), (x_line[s], size_plt - y_line[s]), color, 5)
cv2.line(back_plt_no_NMS, (x_line[s - 1], size_plt - y_line2[s - 1]), (x_line[s], size_plt - y_line2[s]), color_no_NMS,5)
nms_line = np.append(back_plt[:,slice(0,int(size/2))],back_plt_no_NMS[:,slice(0,int(size/2))],axis=1)
# back.shape[::-1], nms_line.shape[::-1]
write(nms_line,'m_'+str(s))
back_plt = Image.fromarray(back_plt)
font = ImageFont.truetype("/usr/share/fonts/opentype/noto/NotoSansCJK-Bold.ttc", 50, encoding="utf-8")
draw = ImageDraw.Draw(back_plt)
draw.text((20, 50), "改进后IOU的变化", color, font=font)
back_plt = np.array(back_plt)
back_plt_no_NMS = Image.fromarray(back_plt_no_NMS)
font = ImageFont.truetype("/usr/share/fonts/opentype/noto/NotoSansCJK-Bold.ttc", 50, encoding="utf-8")
draw = ImageDraw.Draw(back_plt_no_NMS)
draw.text((20, 50), "改进前IOU的变化", color_no_NMS, font=font)
back_plt_no_NMS = np.array(back_plt_no_NMS)
# cv2.putText(back_plt,'IOU_WITH_NMS', (0,50),cv2.FONT_HERSHEY_PLAIN,3,color,2)
# cv2.putText(back_plt_no_NMS,'IOU_NO_NMS',(0,50),cv2.FONT_HERSHEY_PLAIN,3,color_no_NMS,2)
# back[slice(size - size_plt, size), slice(0, int(size * 5 / 12))] = back_plt[:, slice(0, int(size * 5 / 12))]
back = np.append(back,nms_line,axis=0)
pil_im = Image.fromarray(back)
font = ImageFont.truetype("/usr/share/fonts/opentype/noto/NotoSansCJK-Bold.ttc", 50, encoding="utf-8")
draw = ImageDraw.Draw(pil_im)
draw.text((0, size-100), "红色区域:触发NMS", (0, 0, 255), font=font)
back = np.array(pil_im)
if ch>0 and cw > 0:
box_A = cv2.rectangle(back,
(new_ax, new_ay),
(new_ax + aw, new_ay + ah),
(255, 0, 0), 2)
cv2.putText(back, 'A', (new_ax, new_ay), cv2.FONT_HERSHEY_PLAIN, 6, (255, 0, 0), 2)
box_B = cv2.rectangle(back,
(new_bx, new_by),
(new_bx + bw, new_by + bh),
(0, 255, 0), 2)
cv2.putText(back, 'B', (new_bx, new_by), cv2.FONT_HERSHEY_PLAIN, 6, (0, 255, 0), 2)
c_color = [0,0,0]
if IOU>0.5:
c_color = [0,0,255]
back[slice(cy,cy+ch),slice(cx,cx+cw)] = c_color
cv2.putText(back, 'C', (cx+int(cw/2), cy+int(ch/2)), cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)
else:
box_A = cv2.rectangle(back,
(new_ax, new_ay),
(new_ax + aw, new_ay + ah),
(255, 0, 0), 2)
cv2.putText(back, 'A', (new_ax, new_ay), cv2.FONT_HERSHEY_PLAIN, 6, (255, 0, 0), 2)
box_B = cv2.rectangle(back,
(new_bx, new_by),
(new_bx + bw, new_by + bh),
(0, 255, 0), 2)
cv2.putText(back, 'B', (new_bx, new_by), cv2.FONT_HERSHEY_PLAIN, 6, (0, 255, 0), 2)
# write(back, 1)
write(back_plt, 4)
# cv2.putText(back_plt,'IOU')
# np.append(back,back_plt,axis=2)
cv2.imwrite('tmp/step/'+str(s)+'.jpg',back)
write(back,1)
videowriter.write(back)
print(s)
plt.plot(x,y)
plt.ylabel('IOU')
plt.xlabel('step')
plt.savefig('tmp/result.jpg')
# plt.show()
def main():
Box()
if __name__ == '__main__':
main()