From b79143152345bc0e2c49320bc1d7607cedda51cc Mon Sep 17 00:00:00 2001
From: Vaggelis Papoutsellis <22398586+epapoutsellis@users.noreply.github.com>
Date: Thu, 25 Apr 2019 11:21:08 +0100
Subject: Delete sinogram_demo_tomography2D.npy

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diff --git a/Wrappers/Python/wip/Demos/sinogram_demo_tomography2D.npy b/Wrappers/Python/wip/Demos/sinogram_demo_tomography2D.npy
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From d8cbae5c0ed33ea0c30f1e0f3518e2e97c0a86ba Mon Sep 17 00:00:00 2001
From: Vaggelis Papoutsellis <22398586+epapoutsellis@users.noreply.github.com>
Date: Thu, 25 Apr 2019 11:21:24 +0100
Subject: Delete untitled4.py

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 Wrappers/Python/wip/Demos/untitled4.py | 87 ----------------------------------
 1 file changed, 87 deletions(-)
 delete mode 100644 Wrappers/Python/wip/Demos/untitled4.py

(limited to 'Wrappers/Python')

diff --git a/Wrappers/Python/wip/Demos/untitled4.py b/Wrappers/Python/wip/Demos/untitled4.py
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--- a/Wrappers/Python/wip/Demos/untitled4.py
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@@ -1,87 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Created on Wed Apr 24 14:21:08 2019
-
-@author: evangelos
-"""
-
-from ccpi.framework import ImageData, ImageGeometry, AcquisitionGeometry, AcquisitionData
-import numpy  
-import numpy as np                        
-import matplotlib.pyplot as plt
-
-from ccpi.optimisation.algorithms import PDHG, PDHG_old
-
-from ccpi.optimisation.operators import BlockOperator, Gradient
-from ccpi.optimisation.functions import ZeroFunction, L2NormSquared, \
-                      MixedL21Norm, BlockFunction
-
-from ccpi.astra.ops import AstraProjectorSimple, AstraProjector3DSimple
-from skimage.util import random_noise
-from timeit import default_timer as timer
-
-#N = 75
-#x = np.zeros((N,N))
-#x[round(N/4):round(3*N/4),round(N/4):round(3*N/4)] = 0.5
-#x[round(N/8):round(7*N/8),round(3*N/8):round(5*N/8)] = 1
-
-#data = ImageData(x)
-
-N = 75
-#x = np.zeros((N,N))
-
-vert = 4
-ig = ImageGeometry(voxel_num_x = N, voxel_num_y = N, voxel_num_z=vert)
-data = ig.allocate()
-Phantom = data
-# Populate image data by looping over and filling slices
-i = 0
-while i < vert:
-    if vert > 1:
-        x = Phantom.subset(vertical=i).array
-    else:
-        x = Phantom.array
-    x[round(N/4):round(3*N/4),round(N/4):round(3*N/4)] = 0.5
-    x[round(N/8):round(7*N/8),round(3*N/8):round(5*N/8)] = 0.98
-    if vert > 1 :
-        Phantom.fill(x, vertical=i)
-    i += 1
-    
-angles_num = 100
-det_w = 1.0
-det_num = N
-
-angles = np.linspace(0,np.pi,angles_num,endpoint=False,dtype=np.float32)*\
-             180/np.pi
-
-# Inputs: Geometry, 2D or 3D, angles, horz detector pixel count, 
-#         horz detector pixel size, vert detector pixel count, 
-#         vert detector pixel size.
-ag = AcquisitionGeometry('parallel',
-                         '3D',
-                         angles,
-                         N, 
-                         det_w,
-                         vert,
-                         det_w)
-
-sino = numpy.load("sinogram_demo_tomography2D.npy", mmap_mode='r')
-plt.imshow(sino)
-plt.title('Sinogram CCPi')
-plt.colorbar()
-plt.show()
-             
-#%%
-Aop = AstraProjector3DSimple(ig, ag)
-sin = Aop.direct(data)
-
-plt.imshow(sin.as_array())
-
-plt.title('Sinogram Astra')
-plt.colorbar()
-plt.show()
-
-
-
-#%%
\ No newline at end of file
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