[daa56d0] | 1 | """ |
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| 2 | Image reader. Untested. |
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| 3 | """ |
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[11a0319] | 4 | |
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[daa56d0] | 5 | """ |
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| 6 | This software was developed by the University of Tennessee as part of the |
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| 7 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 8 | project funded by the US National Science Foundation. |
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[16d8e5f] | 9 | |
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[daa56d0] | 10 | See the license text in license.txt |
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| 11 | |
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| 12 | copyright 2008, University of Tennessee |
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| 13 | """ |
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| 14 | #TODO: load and check data and orientation of the image (needs rendering) |
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| 15 | |
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| 16 | import math, logging, os |
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| 17 | import numpy |
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[9d4e502] | 18 | from DataLoader.data_info import Data2D |
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[11a0319] | 19 | |
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[bb03739] | 20 | class Reader: |
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[11a0319] | 21 | """ |
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| 22 | Example data manipulation |
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| 23 | """ |
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| 24 | ## File type |
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[28caa03] | 25 | type_name = "TIF" |
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| 26 | ## Wildcards |
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[daa56d0] | 27 | type = ["TIF files (*.tif)|*.tif", |
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| 28 | "TIFF files (*.tiff)|*.tiff", |
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| 29 | ] |
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[11a0319] | 30 | ## Extension |
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[28caa03] | 31 | ext = ['.tif', '.tiff'] |
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[11a0319] | 32 | |
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| 33 | def read(self, filename=None): |
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| 34 | """ |
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| 35 | Open and read the data in a file |
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| 36 | @param file: path of the file |
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| 37 | """ |
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[daa56d0] | 38 | try: |
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[11a0319] | 39 | import Image |
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[daa56d0] | 40 | except: |
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| 41 | raise RuntimeError, "tiff_reader: could not load file. Missing Image module." |
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[11a0319] | 42 | |
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[daa56d0] | 43 | # Instantiate data object |
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[9d4e502] | 44 | output = Data2D() |
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[daa56d0] | 45 | output.filename = os.path.basename(filename) |
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[11a0319] | 46 | |
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[daa56d0] | 47 | # Read in the image |
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| 48 | try: |
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| 49 | im = Image.open(filename) |
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| 50 | except : |
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| 51 | raise RuntimeError,"cannot open %s"%(filename) |
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[28caa03] | 52 | data = im.getdata() |
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[872785f] | 53 | |
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[daa56d0] | 54 | # Initiazed the output data object |
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[28caa03] | 55 | output.data = numpy.zeros([im.size[0],im.size[1]]) |
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| 56 | output.err_data = numpy.zeros([im.size[0],im.size[1]]) |
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| 57 | |
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[daa56d0] | 58 | # Initialize |
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| 59 | x_vals = [] |
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| 60 | y_vals = [] |
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| 61 | |
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| 62 | # x and y vectors |
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[28caa03] | 63 | for i_x in range(im.size[0]): |
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[daa56d0] | 64 | x_vals.append(i_x) |
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[11a0319] | 65 | |
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[28caa03] | 66 | itot = 0 |
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| 67 | for i_y in range(im.size[1]): |
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[daa56d0] | 68 | y_vals.append(i_y) |
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[28caa03] | 69 | |
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| 70 | for val in data: |
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| 71 | try: |
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| 72 | value = float(val) |
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| 73 | except: |
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| 74 | logging.error("tiff_reader: had to skip a non-float point") |
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| 75 | continue |
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[8d6440f] | 76 | |
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[28caa03] | 77 | # Get bin number |
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| 78 | if math.fmod(itot, im.size[0])==0: |
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| 79 | i_x = 0 |
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| 80 | i_y += 1 |
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| 81 | else: |
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| 82 | i_x += 1 |
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[daa56d0] | 83 | |
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[28caa03] | 84 | output.data[im.size[1]-1-i_y][i_x] = value |
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| 85 | |
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| 86 | itot += 1 |
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| 87 | |
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| 88 | output.xbins = im.size[0] |
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| 89 | output.ybins = im.size[1] |
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[daa56d0] | 90 | output.x_bins = x_vals |
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| 91 | output.y_bins = y_vals |
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| 92 | output.xmin = 0 |
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[28caa03] | 93 | output.xmax = im.size[0]-1 |
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[daa56d0] | 94 | output.ymin = 0 |
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[28caa03] | 95 | output.ymax = im.size[0]-1 |
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[daa56d0] | 96 | |
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| 97 | return output |
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[11a0319] | 98 | |
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[28caa03] | 99 | |
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| 100 | if __name__ == "__main__": |
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| 101 | reader = Reader() |
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| 102 | print reader.read("../test/MP_New.sans") |
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| 103 | |
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| 104 | |
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