/
pyrTest.py
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/
pyrTest.py
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import cv2
import numpy as np
import pyrStripe
import lPyr
import signal
in_name='../subsamp-change-threshold-0.06-MH12non-euclid.avi'
cap = cv2.VideoCapture(in_name)
cap.set(cv2.CAP_PROP_POS_FRAMES,4)
ret, frame4 = cap.read()
cap.set(cv2.CAP_PROP_POS_FRAMES,100)
ret, frame100 = cap.read()
n=pyrStripe.pyrStripe(frame4)
p=n.stripeOut(frame100,200,800)
#cv2.imshow('p',p)
#print 't'
def preent():
print 't'
def iirr(signal,r):
y=np.zeros(signal.shape[0],dtype=np.int64)
z=signal[0]
y[0]=z
for n in range(1,signal.shape[0]):
z=z*r+signal[n]*(1-r)
y[n]=z
return y
def rms(signal,support):
return signal
def battle(signal,start):
y=np.zeros(signal.shape[0],dtype=np.int64)
z=signal[start]
y[0]=z
velocity=0
position=z
for n in range(start+1,signal.shape[0]):
x=signal[n]
delta=x-z
velocity=velocity+delta
z=x
position=position+velocity
y[n]=position
return y
def battle_iir(signal,r,start):
y=np.zeros(signal.shape[0],dtype=np.int64)
z=signal[start]
y[0]=z
velocity=0
position=z
for n in range(start+1,signal.shape[0]):
x=signal[n]
delta=x-z
velocity=velocity*r+delta*(1-r)
z=x
position=position+velocity
y[n]=position
return y
def adjust_to_max(signal,support,candidates):
num_samples=signal.shape[0]
ind=0
new_answers=np.zeros(len(candidates))
for candidate in candidates:
left=max([candidate-support,0])
right=min([candidate+support,num_samples])
choices=signal[range(int(left),int(right))]
new_ans=left+np.argmax(choices)
new_answers[ind]=new_ans
ind+=1
return new_answers
def get_tle_vid_goos(vid_name,divisor):
cap = cv2.VideoCapture(vid_name)
time = 0
tot_time=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
energies=np.zeros(tot_time,dtype=np.int64)
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
in_frame=np.zeros(frame.shape,dtype=np.int64)
small_frame=cv2.pyrDown(frame)
blur_frame=np.zeros(frame.shape,dtype=np.int64)
goose=cv2.getGaussianKernel(frame.shape[0],frame.shape[0]/divisor)
goose1=cv2.getGaussianKernel(frame.shape[1],frame.shape[1]/divisor)
goosq=np.dot(goose,np.transpose(goose1))
m=1/np.max(goosq)
center_frame=np.zeros(frame.shape,dtype=np.float64)
for color in range(3):
center_frame[:,:,color]=goosq*m
print tot_time
while(time<tot_time):
in_frame[:,:,:]=frame
small_frame[:,:,:]=cv2.pyrDown(frame)
blur_frame[:,:,:]=cv2.pyrUp(small_frame)[:frame.shape[0],:frame.shape[1],:]
tle=np.sum(center_frame*np.abs(np.subtract(in_frame,blur_frame)))
energies[time]=tle
if time%50==0:
print time
time=time+1
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
return energies
def get_sq_tle_vid(vid_name):
cap = cv2.VideoCapture(vid_name)
time = 0
tot_time=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
energies=np.zeros(tot_time,dtype=np.int64)
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
in_frame=np.zeros(frame.shape,dtype=np.int64)
small_frame=cv2.pyrDown(frame)
blur_frame=np.zeros(frame.shape,dtype=np.int64)
print tot_time
while(time<tot_time):
in_frame[:,:,:]=frame
small_frame[:,:,:]=cv2.pyrDown(frame)
blur_frame[:,:,:]=cv2.pyrUp(small_frame)[:frame.shape[0],:frame.shape[1],:]
tle=np.sum(np.square(np.abs(np.subtract(in_frame,blur_frame))))
energies[time]=tle
if time%50==0:
print time
time=time+1
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
return energies
def get_sq_tle_vid(vid_name):
cap = cv2.VideoCapture(vid_name)
time = 0
tot_time=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
energies=np.zeros(tot_time,dtype=np.int64)
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
in_frame=np.zeros(frame.shape,dtype=np.int64)
small_frame=cv2.pyrDown(frame)
blur_frame=np.zeros(frame.shape,dtype=np.int64)
print tot_time
while(time<tot_time):
in_frame[:,:,:]=frame
small_frame[:,:,:]=cv2.pyrDown(frame)
blur_frame[:,:,:]=cv2.pyrUp(small_frame)[:frame.shape[0],:frame.shape[1],:]
tle=np.sum(np.square(np.abs(np.subtract(in_frame,blur_frame))))
energies[time]=tle
if time%50==0:
print time
time=time+1
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
return energies
def get_sq_sle_vid(vid_name):
cap = cv2.VideoCapture(vid_name)
time = 0
tot_time=int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
energies=np.zeros(tot_time,dtype=np.int64)
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
in_frame=np.zeros(cv2.pyrDown(frame).shape,dtype=np.int64)
#small_uint=cv2.pyrDown(frame)
small_frame=np.zeros(cv2.pyrDown(cv2.pyrDown(frame)).shape,dtype=np.uint8)
blur_frame=np.zeros(in_frame.shape,dtype=np.int64)
print tot_time
while(time<tot_time):
in_frame[:,:,:]=cv2.pyrDown(frame)
small_frame[:,:,:]=cv2.pyrDown(cv2.pyrDown(frame))
blur_frame[:,:,:]=cv2.pyrUp(small_frame)[:blur_frame.shape[0],:blur_frame.shape[1],:]
tle=np.sum(np.square(np.abs(np.subtract(in_frame,blur_frame))))
energies[time]=tle
if time%50==0:
print time
time=time+1
cap.set(cv2.CAP_PROP_POS_FRAMES,time)
ret,frame = cap.read()
return energies
def vidvol(in_name,outshape,slope,numframes,lev,start_frame,r,skip,margin):
time=1
cap=cv2.VideoCapture(in_name)
ans=np.zeros(outshape,dtype=np.uint8)
cap.set(cv2.CAP_PROP_POS_FRAMES,start_frame)
ret,frame=cap.read()
for l in range(lev):
frame=cv2.pyrDown(frame)
y=frame.shape[0]
x=frame.shape[1]
ans[:y,margin:x+margin,3]=255
ans[:y,margin:x+margin,:3]=frame
framebox=np.zeros((y,x,4),dtype=np.uint8)
framebox[:,:,3]=255
while time<numframes:
cap.set(cv2.CAP_PROP_POS_FRAMES,start_frame+time*skip)
ret,frame=cap.read()
for l in range(lev):
frame=cv2.pyrDown(frame)
inset=time/slope
if np.random.rand(1)[0]>.9:
frame[:,0,:]=0
frame[:,0,2]=255
frame[0,:,:]=0
frame[0,:,2]=255
framebox[:,:,:3]=frame
t=time+margin
ans[inset:y+inset,t:x+t,:]=r*ans[inset:y+inset,t:x+t,:]+(1-r)*framebox[:y,:x,:]
time=time+1
ans[inset:y+inset,time:x+time,:]=framebox
return ans
def boxout(im,x,y,d):
ans=np.zeros(im.shape,dtype=np.uint8)
ans[:,:,:]=im
ans[y-d:y+d+1,x-d,:]=0
ans[y-d:y+d+1,x-d,2:]=255
ans[y-d:y+d+1,x+d,:]=0
ans[y-d:y+d+1,x+d,2:]=255
ans[y-d,x-d:x+d+1,:]=0
ans[y-d,x-d:x+d+1,2:]=255
ans[y+d,x-d:x+d+1,:]=0
ans[y+d,x-d:x+d+1,2:]=255
return ans
def lineify(ans,start,end,num):
inc=1.0/num
for n in range(num):
x=int((1-inc*n)*start[0]+inc*n*end[0])
y=int((1-inc*n)*start[1]+inc*n*end[1])
ans[x,y,:2]=0
ans[x,y,2:]=255
return ans
def abs_tle_im(im):
temp=np.zeros(im.shape,dtype=np.int64)
temp[:,:,:]=cv2.pyrUp(cv2.pyrDown(im))[:im.shape[0],:im.shape[1],:]
temp[:,:,:]=np.abs(np.subtract(im,temp))
return temp
def rep_bw(im):
ans=np.zeros((im.shape[0],im.shape[1]),dtype=np.uint8)
temp=np.zeros(im.shape)
temp[:,:]=im-np.min(im)
temp[:,:]=temp/np.max(temp)
ans[:,:]=np.uint8(temp*255)
cv2.imshow('ans',ans)
return ans
def rep_flat_name(im,name):
ans=np.zeros((im.shape[0],im.shape[1]),dtype=np.uint8)
temp=np.zeros(im.shape)
temp[:,:]=im-np.min(im)
temp[:,:]=temp/np.max(temp)
ans[:,:]=np.uint8(temp*255)
cv2.imshow(name,ans)
return ans
def rep_3d_name(im,name):
ans=np.zeros(im.shape,dtype=np.uint8)
temp=np.zeros(im.shape)
temp[:,:,:]=im-np.min(im)
temp[:,:,:]=temp/np.max(temp)
ans[:,:,:]=np.uint8(temp*255)
cv2.imshow(name,ans)
return ans
def mk_blowup(im1,im2,outshape,X,Y,delta,lev,displacement,margin):
temp=np.zeros((im1.shape[0],im1.shape[1],2),dtype=np.float64)
temp[:,:,0]=np.sum(im1,2)/3
temp[:,:,1]=np.sum(im2,2)/3
for color in range(3):
im1[:,:,color]=np.uint8(temp[:,:,0])
im2[:,:,color]=np.uint8(temp[:,:,1])
sm1=np.zeros(im1.shape,dtype=np.uint8)
sm1[:,:,:]=im1
sm2=np.zeros(im1.shape,dtype=np.uint8)
sm2[:,:,:]=im2
for l in range(lev):
sm1=cv2.pyrDown(sm1)
sm2=cv2.pyrDown(sm2)
scale=im1.shape[0]/sm1.shape[0]
d=np.max((delta/scale,2))
x=X/scale
y=Y/scale
print d
sm1=boxout(sm1,y,x,d)
sm2=boxout(sm2,y,x,d)
ans=np.zeros(outshape,dtype=np.uint8)
cursor=(sm1.shape[0],sm1.shape[1])
ans[margin:cursor[0]+margin,margin:cursor[1]+margin,:3]=sm1
ans[margin:cursor[0]+margin,margin:cursor[1]+margin,3]=255
center=(margin+x,margin+y)
end_center=(center[0]+displacement[0],center[1]+displacement[1])
for combo in [(-1,-1),(-1,1),(1,-1),(1,1)]:
start=(center[0]+d*combo[0],center[1]+d*combo[1])
end=(end_center[0]+delta*combo[0],end_center[1]+delta*combo[1])
ans=lineify(ans,start,end,1000)
clip=im1[X-delta:X+delta+1,Y-delta:Y+delta+1,:]
intensities1=np.reshape(clip[:,:,0], np.product(clip[:,:,0].shape))
ans[end_center[0]-delta:end_center[0]+delta+1,end_center[1]-delta:end_center[1]+delta+1,:3]=clip
ans[end_center[0]-delta:end_center[0]+delta+1,end_center[1]-delta:end_center[1]+delta+1,3]=255
ans=boxout(ans,end_center[1],end_center[0],delta)
bcursor=(cursor[0],cursor[1]+sm1.shape[1]+margin)
tcursor=(margin,sm1.shape[1]+2*margin)
ans[tcursor[0]:bcursor[0]+margin,tcursor[1]:bcursor[1]+margin,:3]=sm2
ans[tcursor[0]:bcursor[0]+margin,tcursor[1]:bcursor[1]+margin,3]=255
center=(margin+x,2*margin+y+sm1.shape[1])
end_center=(center[0]+displacement[0],center[1]+displacement[1])
for combo in [(-1,-1),(-1,1),(1,-1),(1,1)]:
start=(center[0]+d*combo[0],center[1]+d*combo[1])
end=(end_center[0]+delta*combo[0],end_center[1]+delta*combo[1])
ans=lineify(ans,start,end,1000)
clip=im2[X-delta:X+delta+1,Y-delta:Y+delta+1,:]
intensities2=np.reshape(clip[:,:,0], np.product(clip[:,:,0].shape))
ans[end_center[0]-delta:end_center[0]+delta+1,end_center[1]-delta:end_center[1]+delta+1,:3]=clip
ans[end_center[0]-delta:end_center[0]+delta+1,end_center[1]-delta:end_center[1]+delta+1,3]=255
ans=boxout(ans,end_center[1],end_center[0],delta)
bcursor=(cursor[0],cursor[1]+sm1.shape[1]+margin)
tcursor=(margin,sm1.shape[1]+2*margin)
o=open('./correlate/results/x-'+str(X)+'-y-'+str(Y)+'-d-'+str(delta)+'.csv','w')
for ind in range(len(intensities1)):
o.write(str(intensities1[ind])+','+str(intensities2[ind])+'\n')
o.close()
cv2.imwrite('./correlate/results/x-'+str(X)+'-y-'+str(Y)+'-d-'+str(delta)+'.png',ans)
return ans