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ntupreprocess.py
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ntupreprocess.py
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#!/usr/bin/env python
# coding: utf-8
# In[2]:
import os
from mpl_toolkits import mplot3d
get_ipython().run_line_magic('matplotlib', 'inline')
import numpy as np
import matplotlib.pyplot as plt
bone_list=[[4,3],[3,21],[21,2],[2,1]]
bone_list=np.array(bone_list)-1
from PIL import Image
import os
def croppingimage(fol1):
# directory = '/home/paras/Downloads/nturgb/'+str(fol1)
x1=0
y1=0
x2=0
y2=0
i = Image.open(fol1)
pixels = i.load() # this is not a list, nor is it list()'able
width, height = i.size
print(i.size)
# print(pixels[1,1])
all_pixels = []
f=0
w=-1
h=-1
prev =(255,255,255,255)
for y in range(height):
for x in range(width):
cpixel = pixels[x, y]
if(cpixel!=(255,255,255,255) and f==0):
# print(cpixel)
f=1
# x1=x
y1=y
all_pixels.append(cpixel)
if(cpixel==(255,255,255,255) and prev!=(255,255,255,255)):
# x2=w
y2=h
# print(y2,x2)
prev =cpixel
w=x
h=y
f=0
for x in range(width):
for y in range(height):
cpixel = pixels[x, y]
if(cpixel!=(255,255,255,255) and f==0):
# print(cpixel)
f=1
x1=x
# y1=y
all_pixels.append(cpixel)
if(cpixel==(255,255,255,255) and prev!=(255,255,255,255)):
x2=w
# y2=h
# print(y2,x2)
prev =cpixel
w=x
h=y
print(x1,y1,x2,y2)
# create a cropped image
cropped = i.crop((x1,y1,x2,y2))
# print(pixels[1272,315])
cropped.save(fol1)
# show cropped image
# cropped.show()
# print(all_pixels)
def func(file):
colors=['b','k','r','g','y','c','m','w']
fig=plt.figure()
fig.set_size_inches(48.5,40.5)
# fig1=plt.figure()
# fig1.set_size_inches(28.5,20.5)
ax=fig.add_subplot(111,projection='3d')
# ax.set(xlim=(-1,2),ylim=(-2,2),zlim=(-1,0.75));
ax.set(xlim=(-1,2),ylim=(-62,62),zlim=(-1,0.75));
ax.grid(False)
ax.set_xticks([])
ax.set_yticks([])
ax.set_zticks([])
ax1=fig.add_subplot(111,projection='3d')
# ax.set(xlim=(-1,2),ylim=(-2,2),zlim=(-1,0.75));
ax1.set(xlim=(-1,2),ylim=(-62,62),zlim=(-1,0.75));
ax1.grid(False)
ax1.set_xticks([])
ax1.set_yticks([])
ax1.set_zticks([])
plt.axis('off')
n=0
c=0
g=0
jj=0
k=1
x=[]
y=[]
z=[]
n=1
i=0
im=0
z1=0
w=0
fo=0
if(os.path.exists(os.path.join('/home/ws2/Downloads/nturgb+d_skeletons',file))):
with open(os.path.join('/home/ws2/Downloads/nturgb+d_skeletons',file),'r') as f:
# print(file)
title=file[:-9]
print(title)
for line in f:
# print(i)
words=line.split()
# print(words[0])
if(i==1 and int(words[0])==0):
print('p')
return
if(i==1 and int(words[0])==1):
fo=1
# print(fo)
else:
fo=2
# print(words)
# if(i==0):
# fr=words[0]
# jj=jj+4
# i=i+1
# continue
if(fo==1):
if(im==25 or k!=1):
x.append(float(words[0]))
y.append(float(words[1]))
z.append(float(words[2]))
# print(jj)
jj=jj+1
if(k<25):
k=k+1
else:
x=np.array(x)
y=np.array(y)
z=np.array(z)
# print(x)
l=n%8
j=colors[l]
for bone in bone_list:
ax.plot([x[bone[0]],x[bone[1]]],[z[bone[0]]+z1,z[bone[1]]+z1],[y[bone[0]],y[bone[1]]],j)
jj=jj+3
n=n+1
z1=z1+2
k=1
x=[]
y=[]
z=[]
elif(fo==2):
if((w%2)==0):
if(im==25 or k!=1):
x.append(float(words[0]))
y.append(float(words[1]))
z.append(float(words[2]))
# print(jj)
jj=jj+1
if(k<25):
k=k+1
else:
x=np.array(x)
y=np.array(y)
z=np.array(z)
# print(x)
l=n%8
j=colors[l]
for bone in bone_list:
ax.plot([x[bone[0]],x[bone[1]]],[z[bone[0]]+z1,z[bone[1]]+z1],[y[bone[0]],y[bone[1]]],j)
jj=jj+3
n=n+1
z1=z1+2
w=w+1
k=1
x=[]
y=[]
z=[]
else:
if(im==25 or k!=1):
x.append(float(words[0]))
y.append(float(words[1]))
z.append(float(words[2]))
# print(jj)
jj=jj+1
if(k<25):
k=k+1
else:
x=np.array(x)
y=np.array(y)
z=np.array(z)
# print(x)
l=n%8
j=colors[l]
for bone in bone_list:
ax1.plot([x[bone[0]],x[bone[1]]],[z[bone[0]]+z1,z[bone[1]]+z1],[y[bone[0]],y[bone[1]]],j)
jj=jj+3
n=n+1
z1=z1+2
w=w+1
k=1
x=[]
y=[]
z=[]
i=i+1
im=float(words[0])
plt.savefig('/home/ws2/Documents/nturgb_headspinal/'+title+'.png',dpi=100)
croppingimage('/home/ws2/Documents/nturgb_headspinal/'+title+'.png')
# plt.show()
# func('S008C003P007R001A022.skeleton')
for file in os.listdir('/home/ws2/Downloads/nturgb+d_skeletons'):
if('P001' in file):
title=file[:-9]
if(os.path.exists(os.path.join('/home/ws2/Documents/nturgb_headspinal',title+'.png'))):
print('continue')
continue
func(file)
# In[ ]: