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enc_functs_slow35nft.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 1 15:36:29 2021
@author: root
"""
import numpy as np
import sys
from pcloud_functs import pcshow,lowerResolution,inds2vol,vol2inds,dilate_Loc
from ac_functs import ac_model2
from runlength import RLED
sys.path.append('Reference-arithmetic-coding-master/python/')
from usefuls import in1d_index,plt_imshow,write_ints,read_ints,write_bits,read_bits,dec2bin2,bin2dec2,ints2bs,bs2ints
import arithmeticcoding as arc
import time
import globz
def N_BackForth(sBBi): ##checked with matlab output
# %% Move from current resolution one level down and then one up
# %% In the UP step enforce at each cube all 8 possible patterns
# %% input: sBBi, the sorted PC, by unique
quotBB = np.floor(sBBi/2).astype('int') #% size is (nBBx3)
Points_parent,iC = np.unique(quotBB,return_inverse=True,axis=0) # % size of iC is (nBBx3)
PatEl = np.array( [[0, 0, 0],
[1, 0, 0],
[0, 1, 0],
[1, 1, 0],
[0, 0, 1],
[1, 0, 1],
[0, 1, 1],
[1, 1, 1]])
BlockiM = np.zeros([0,3],'int')
for iloc in range(8): # % size(PatEl,1) = 8
iv3 = PatEl[iloc,:]
Blocki = Points_parent*2+iv3
BlockiM = np.concatenate((BlockiM,Blocki),0)
LocM = np.unique(BlockiM,axis=0)
return LocM
def OneSectOctMask2( icPC, BWTrue, BWTrue1, BWTrue2, BWTrueM, BWTrue1M, SectSize, StartStopLengthM, ctx_type ,ENC=True,nn_model='dec',ac_model='dec_and_enc',Location='for_debug',sess=None,for_train=False):
# global esymbs,symbs
wsize = 5#np.sqrt(ctx_type//4).astype(int)#np.sqrt((ctx_type+0.5)*2/5).astype(int)
b = 2#(wsize-1)//2
[ix1,iz1] = np.where(np.ones((wsize,wsize)))
Tempaxa= [iz1-b,ix1-b]
T12size = wsize**2
TCsize = (T12size-1)//2
# %%
# % Go over the possible points
# TempCaus = [Tempaxa[0][0:TCsize],Tempaxa[1][0:TCsize]]
dispz = np.zeros((TCsize,),'int')
dispx = np.zeros((TCsize,),'int')
dispznc = np.zeros((TCsize+1,),'int')
dispxnc = np.zeros((TCsize+1,),'int')
for i1 in range( TCsize):
dispz[i1] = Tempaxa[0][i1]
dispx[i1] = Tempaxa[1][i1]
for i1 in range( TCsize,T12size):
dispznc[i1-TCsize] = Tempaxa[0][i1]
dispxnc[i1-TCsize] = Tempaxa[1][i1]
nT = StartStopLengthM[icPC,2]
Temp = np.zeros((nT,ctx_type),'bool')
Tprobs = np.zeros((nT,2),'float')
# iBBr_in=0
# Locp = np.zeros((StartStopLengthM[icPC,2],3),'int')
TCaus = np.zeros((TCsize,),'bool')
TNCaus = np.zeros((TCsize+1,),'bool')
# psymbs = []
if ENC :
# iTemp1 = -1
for iTemp1,iBB in enumerate(range( StartStopLengthM[icPC,0],StartStopLengthM[icPC,1]+1)):
iz = globz.LocM[iBB,2]
ix = globz.LocM[iBB,0]
Temp[iTemp1,0:25] = BWTrue2[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
Temp[iTemp1,25:50] = BWTrue1[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
for i1 in range( TCsize):
TCaus[i1] = BWTrue[iz+dispz[i1], ix+dispx[i1]]
for i1 in range( TCsize+1):
TNCaus[i1] = BWTrueM[iz+dispznc[i1], ix+dispxnc[i1]]
Temp[iTemp1,2*T12size:(2*T12size+TCsize)] = TCaus
Temp[iTemp1,(2*T12size+TCsize):3*T12size] = TNCaus
Temp[iTemp1,75:] = BWTrue1M[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
if not for_train:
Tprobs = sess.run(nn_model.output,feed_dict={nn_model.input:Temp})
# iTemp = -1
##########2nd loop##########################################
for iTemp,iBB in enumerate(range( StartStopLengthM[icPC,0],StartStopLengthM[icPC,1]+1)):
# iTemp+=1
iz = globz.LocM[iBB,2]
ix = globz.LocM[iBB,0]
if not ENC:
Temp[iTemp,0:25] = BWTrue2[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
Temp[iTemp,25:50] = BWTrue1[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
for i1 in range( TCsize):
TCaus[i1] = BWTrue[iz+dispz[i1], ix+dispx[i1]]
for i1 in range( TCsize+1):
TNCaus[i1] = BWTrueM[iz+dispznc[i1], ix+dispxnc[i1]]
Temp[iTemp,2*T12size:(2*T12size+TCsize)] = TCaus
Temp[iTemp,(2*T12size+TCsize):3*T12size] = TNCaus
Temp[iTemp,75:] = BWTrue1M[iz-b:iz+b+1,ix-b:ix+b+1].flatten('F')
if ENC :
symb = BWTrue[iz, ix]
probs = Tprobs[iTemp,:]
if not ENC: #DECODER
probs = sess.run(nn_model.output,feed_dict={nn_model.input:Temp[iTemp:(iTemp+1),:]})[0,:]
freq = np.ceil(probs*(2**14)).astype('int')#+1
freqlist = list(freq)
freqs = arc.SimpleFrequencyTable(freqlist )
if ENC:
ac_model.encode_symbol(freqs,symb)
else:#DECODER
symb = ac_model.decode_symbol(freqs)
BWTrue[iz, ix] = symb
if symb:
globz.Loc[globz.iBBr,:] = [ix,icPC,iz]
globz.iBBr +=1
# if for_train:
# return Temp,Des
def get_temps_dests2(ctx_type,ENC=True,nn_model ='dec',ac_model='dec_and_enc',maxesL='dec_and_enc',sess=None,bs_dir='',save_SSL=True,level=0,ori_level=0,dSSLs=None,for_train=False):
maxX = maxesL[0]
maxY = maxesL[1]
maxZ = maxesL[2]
lSSL = maxY+10
SectSize = (maxZ,maxX)
# %% Find sections in Loc
StartStopLength = np.zeros((lSSL,3),dtype='int')
if ENC:
icPC = globz.Loc[0,1]
StartStopLength[icPC,0] = 0
for iBB in range(globz.Loc.shape[0]):#= 1:(size(Loc,1))
if(globz.Loc[iBB,1] > icPC):
StartStopLength[icPC,1] = iBB-1
StartStopLength[icPC,2] = StartStopLength[icPC,1]-StartStopLength[icPC,0]+1
icPC = globz.Loc[iBB,1]
StartStopLength[icPC,0] = iBB
iBB = globz.Loc.shape[0]
if(globz.Loc[iBB-1,1] == icPC):
StartStopLength[icPC,1] = iBB-1
StartStopLength[icPC,2] = StartStopLength[icPC,1]-StartStopLength[icPC,0]+1
ncPC = np.copy(icPC)
SSL2 = StartStopLength[:,2]>0
# np.save('SSL2.npy',{'SSL2':SSL2,'ncPC':ncPC})
if level==ori_level:
ssbits = ''
for ssbit in SSL2:
ssbits=ssbits+str(int(ssbit))
RLED(ssbits[32:-9],lSSL-41,lSSL-41,1,bs_dir+'rSSL.dat')
else:
SSL2 = dSSLs[level,:]
ncPC = np.max(np.where(SSL2)[0])
# %% Find sections in LocM
StartStopLengthM = np.zeros((lSSL,3),'int')
icPC = globz.LocM[0,1]
StartStopLengthM[icPC,0] = 0
for iBB in range(globz.LocM.shape[0]):
if(globz.LocM[iBB,1] > icPC):
StartStopLengthM[icPC,1] = iBB-1
StartStopLengthM[icPC,2] = StartStopLengthM[icPC,1]-StartStopLengthM[icPC,0]+1
icPC = globz.LocM[iBB,1]
StartStopLengthM[icPC,0] = iBB
iBB = globz.LocM.shape[0]
if(globz.LocM[iBB-1,1] == icPC):
StartStopLengthM[icPC,1] = iBB-1
StartStopLengthM[icPC,2] = StartStopLengthM[icPC,1]-StartStopLengthM[icPC,0]+1
# %%
nM7 = globz.LocM.shape[0]
if not ENC:
globz.Loc = np.zeros((nM7,3),'int')
for icPC in range(ncPC+1):
if icPC%50==0:
print('icPC:' + str(icPC))
if (StartStopLengthM[icPC,2] > 0) & SSL2[icPC] :
# %% 0. Mark the TRUE points on BWTrue
BWTrue = np.zeros( SectSize,'bool')
if ENC:
for iBB in range(StartStopLength[icPC,0],StartStopLength[icPC,1]+1):
BWTrue[globz.Loc[iBB,2], globz.Loc[iBB,0]] = 1
# %% 0.1 Mark the PREVIOUS SECTION TRUE points on BWTrue
BWTrue1 = np.zeros( SectSize,'bool')
if(icPC > 0):
if( StartStopLength[icPC-1,1] > 0 ):
for iBB in range(StartStopLength[icPC-1,0],StartStopLength[icPC-1,1]+1):
BWTrue1[ globz.Loc[iBB,2], globz.Loc[iBB,0]] = 1
# %% 0.2 Mark the PREVIOUS_PREVIOUS SECTION TRUE points on BWTrue
BWTrue2 = np.zeros( SectSize,'bool')
if(icPC > 1):
if( StartStopLength[icPC-2,0] > 0 ):
for iBB in range(StartStopLength[icPC-2,0],StartStopLength[icPC-2,1]+1):
BWTrue2[globz.Loc[iBB,2], globz.Loc[iBB,0] ] = 1
BWTrue1M = np.zeros( SectSize,'bool')
if(icPC < ncPC):
if( StartStopLengthM[icPC+1,1] > 0 ):
for iBB in range(StartStopLengthM[icPC+1,0],StartStopLengthM[icPC+1,1]+1):
BWTrue1M[ globz.LocM[iBB,2], globz.LocM[iBB,0]] = 1
BWTrueM = np.zeros( SectSize,'bool')
if( StartStopLengthM[icPC,1] > 0 ):
for iBB in range(StartStopLengthM[icPC,0],StartStopLengthM[icPC,1]+1):
BWTrueM[ globz.LocM[iBB,2], globz.LocM[iBB,0]] = 1
iBBr_prev = globz.iBBr
OneSectOctMask2(icPC, BWTrue, BWTrue1, BWTrue2, BWTrueM, BWTrue1M, SectSize, StartStopLengthM,ctx_type,ENC,nn_model,ac_model,sess=sess)
iBBr_now = globz.iBBr
if not ENC:
iBBr_in = iBBr_now-iBBr_prev
if iBBr_in>0:
StartStopLength[icPC,0] = iBBr_prev
StartStopLength[icPC,1] = iBBr_now-1
StartStopLength[icPC,2] = iBBr_now-iBBr_prev
if ENC and level==ori_level:
freqlist = [10,10]
freqs = arc.CheckedFrequencyTable(arc.SimpleFrequencyTable(freqlist ))
for i_s in range(64):
ac_model.encode_symbol(freqs,0)
if ENC:
dec_Loc = 0
if not(ENC):
dec_Loc = globz.Loc[0:iBBr_now,:]
return dec_Loc
def get_uctxs_counts2(GT,ctx_type,do_try_catch):
# try:
Location = GT -np.min(GT ,0)+32
maxesL = np.max(Location,0)+[80,0,80]
LocM = N_BackForth(Location )
LocM_ro = np.unique(LocM[:,[1,0,2]],axis=0)
LocM[:,[1,0,2]] = LocM_ro
del LocM_ro
globz.LocM = LocM
Loc_ro = np.unique(Location[:,[1,0,2]],axis=0)
Location[:,[1,0,2]] = Loc_ro
globz.Loc = Location
del Loc_ro
TempT,DesT = get_temps_dests2(ctx_type,nn_model =0,ac_model=0,maxesL=maxesL,for_train=True)
uctxs,ic=np.unique(TempT,return_inverse=True,axis=0)
nuctxs = uctxs.shape[0]
counts = np.zeros((nuctxs,2),'int')
for i1 in range(DesT.shape[0]):#=1:size(DesT,1)
symb = int(DesT[i1])
counts[ic[i1],symb]=counts[ic[i1],symb]+1
return uctxs,counts
def ENCODE_DECODE(ENC,bs_dir,nn_model,ac_model,sess,ori_level=0,GT=0):
start = time.time()
nintbits = ori_level*np.ones((6,),int)
lrGTs = dict()
if ENC:# or debug_dec:
minsG = np.min(GT ,0)
maxesG = np.max(GT,0)
minmaxesG = np.concatenate((minsG,maxesG))
# write_ints(minmaxesG,nintbits,bs_dir+'maxes_mins.dat')
sibs = ints2bs(minmaxesG,nintbits)
lrGTs[ori_level] = GT
lrGT = np.copy(GT)
for il in range(ori_level-2):
lrGT = lowerResolution(lrGT)
lrGTs[ori_level-il-1] = lrGT
lowest_bs = inds2vol(lrGTs[2],[4,4,4]).flatten().astype(int)
lowest_str = ''
for ibit in range(64):
lowest_str = lowest_str+str(lowest_bs[ibit])
#write_bits(lowest_str+'1',bs_dir+'lowest.dat')
sibs = sibs+lowest_str+'1'
write_bits(sibs,bs_dir+'side_info.bs')
dSSLs = 0
if not ENC:
# minmaxesG =read_ints(nintbits,bs_dir+'maxes_mins.dat')
# lowest_str = read_bits(bs_dir+'lowest.dat')[0:64]
sibs = read_bits(bs_dir+'side_info.bs')
minmaxesG = bs2ints(sibs[0:np.sum(nintbits)],nintbits)
lowest_str = sibs[np.sum(nintbits):-1]
lowest_bs = np.zeros([64,],int)
for ibit in range(64):
lowest_bs[ibit] = int(lowest_str[ibit])
vol = lowest_bs.reshape([4,4,4])
lrGTs[2] = vol2inds(vol)
lrmm = np.copy(minmaxesG[np.newaxis,:])
lrmms=np.zeros((ori_level+1,6),int)
lrmms[ori_level] = lrmm
for il in range(ori_level-2):
lrmm = lowerResolution(lrmm)
lrmms[ori_level-il-1,:] = lrmm
mins11 = lrmms[ori_level,1]
maxes11 = lrmms[ori_level,4]
lSSL = maxes11-mins11+32+10
##get dssls
dSSLs = np.zeros((ori_level+1,4000),int)
#ssbits = read_bits(bs_dir+'SSL.dat')[:-1]#[(ori_level+2):-1]
ssbits = 32*'0'
ssbits = ssbits + RLED('',lSSL-41,lSSL-41,0,bs_dir+'rSSL.dat') +9*'0'
# dSSL = ssbits
for ib,bit in enumerate(ssbits):
dSSLs[ori_level,ib] = int(bit)
# dncPCs = np.zeros((ori_level+1),int)
# dncPCs[ori_level] = np.max(np.where(dSSLs[ori_level])[0])
for level in range(ori_level,3,-1):
# lrmms[level][1]%2
add = lrmms[level][1]%2#1-np.where(SSLs[level])[0][-1]%2
inds = lowerResolution(np.where(dSSLs[level])[0]+add-32)+32
dSSLs[level-1,inds] = 1
# dncPCs[level-1] = np.max(np.where(dSSLs[level-1])[0])
# print(level)
for level in range(3,ori_level+1):
# globz.isymb = 0
globz.iBBr = 0
if ENC: #or debug_dec:
mins1 = np.min(lrGTs[level] ,0)
maxes1 = np.max(lrGTs[level],0)
Location = lrGTs[level] -mins1+32
if not ENC:
mins1 = lrmms[level,0:3]
maxes1 = lrmms[level,3:6]
maxesL = maxes1-mins1+32+[80,0,80]
LocM = dilate_Loc(lrGTs[level-1])-mins1+32
LocM_ro = np.unique(LocM[:,[1,0,2]],axis=0)
LocM[:,[1,0,2]] = LocM_ro
del LocM_ro
globz.LocM = LocM
if ENC :#or debug_dec:
Loc_ro = np.unique(Location[:,[1,0,2]],axis=0)
Location[:,[1,0,2]] = Loc_ro
globz.Loc = Location
del Loc_ro
dec_Loc= get_temps_dests2(nn_model.ctx_type,ENC,nn_model = nn_model,ac_model=ac_model,maxesL = maxesL,sess=sess,bs_dir=bs_dir,save_SSL=True,level=level,ori_level=ori_level,dSSLs=dSSLs)
if not ENC:
lrGTs[level] = dec_Loc+mins1-32
if ENC:
ac_model.end_encoding()
end = time.time()
time_spent = end - start
nmins = int(time_spent//60)
nsecs = int(np.round(time_spent-nmins*60))
print('time spent: ' + str(nmins) + 'm ' + str(nsecs) + 's')
if not ENC:
dec_GT = lrGTs[level]
else:
dec_GT = 0
return dec_GT,time_spent