Mercurial > repos > kls286 > chap_test_20230328

annotate build/bdist.linux-x86_64/egg/MLaaS/mnist_img.py @ 0:cbbe42422d56 draft

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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
author kls286
date Tue, 28 Mar 2023 15:07:30 +0000
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1 #!/usr/bin/env python
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2 #-*- coding: utf-8 -*-
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3 #pylint: disable=
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4 """
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5 File : mnist_img.py
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6 Author : Valentin Kuznetsov <vkuznet AT gmail dot com>
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7 Description:
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8 """
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9
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10 import json
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11 import gzip
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12 import argparse
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13 # from itertools import chain
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14
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15 import numpy as np
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16 import matplotlib.pyplot as plt
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17
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18
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19 def readImage(fname, fout, num_images=5, imgId=2):
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20 """
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21 Helper function to read MNIST image
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22 """
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23 image_size = 28
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24 with gzip.open(fname, 'r') as fstream:
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25 fstream.read(16)
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26 buf = fstream.read(image_size * image_size * num_images)
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27 data = np.frombuffer(buf, dtype=np.uint8).astype(np.float32)
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28 data = data.reshape(num_images, image_size, image_size, 1)
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29 image = np.asarray(data[imgId]).squeeze()
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30 plt.imsave(fout, image)
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31 print("read:", fname, "wrote:", fout, "image:", type(image), "shape:", image.shape)
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32
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33 def img2json(image):
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34 """
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35 Convert given image to JSON data format used by TFaaS
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36 """
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37 # values = [int(i) for i in list(chain.from_iterable(image))]
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38 # values = image.tolist()
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39 values = []
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40 for row in image.tolist():
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41 row = [int(i) for i in row]
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42 vals = [[i] for i in row]
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43 values.append(vals)
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44 # final values should be an array of elements, e.g. single image representation
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45 values = [values]
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46 keys = [str(i) for i in range(0, 10)]
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47 meta = {
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48 'keys': keys,
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49 'values': values,
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50 'model': 'mnist'
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51 }
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52 with open('img.json', 'w') as ostream:
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53 ostream.write(json.dumps(meta))
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54
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55
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56 class OptionParser():
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57 def __init__(self):
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58 "User based option parser"
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59 fname = "train-images-idx3-ubyte.gz"
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60 self.parser = argparse.ArgumentParser(prog='PROG')
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61 self.parser.add_argument("--fin", action="store",
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62 dest="fin", default=fname, help=f"Input MNIST file, default {fname}")
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63 self.parser.add_argument("--fout", action="store",
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64 dest="fout", default="img.png", help="Output image fila name, default img.png")
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65 self.parser.add_argument("--nimages", action="store",
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66 dest="nimages", default=5, help="number of images to read, default 5")
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67 self.parser.add_argument("--imgid", action="store",
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68 dest="imgid", default=2, help="image index to use from nimages, default 2 (number 4)")
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69
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70 def main():
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71 """
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72 main function to produce image file from mnist dataset.
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73 MNIST dataset can be downloaded from
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74 curl -O http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
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75 """
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76 optmgr = OptionParser()
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77 opts = optmgr.parser.parse_args()
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78 num_images = int(opts.nimages)
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79 imgId = int(opts.imgid)
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80 img = readImage(opts.fin, opts.fout, num_images, imgId)
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81
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82 if __name__ == '__main__':
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83 main()