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str | jpeg2hdf5.helpstr |
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list | jpeg2hdf5.supported_frameworks = ['tfl', 'caf'] |
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dict | jpeg2hdf5.args = {} |
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| jpeg2hdf5.argc = len(sys.argv) |
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| jpeg2hdf5.arg = sys.argv[i] |
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dict | jpeg2hdf5.fw = args['-f'] |
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dict | jpeg2hdf5.indirname = args['-t'] |
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str | jpeg2hdf5.inputname = 'data' |
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| jpeg2hdf5.nproc |
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| jpeg2hdf5.proc_num |
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dict | jpeg2hdf5.remove_existing = args['-r'] |
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dict | jpeg2hdf5.gen_binary = args['-b'] |
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| jpeg2hdf5.testcases = glob.glob(indirname + '/testcase*/') |
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int | jpeg2hdf5.number = 0 |
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| jpeg2hdf5.infilename = glob.glob(testcase + 'input/*.JPEG') |
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str | jpeg2hdf5.outfilename = testcase + 'input/' + infilename.split('/')[-1] + '.hdf5' |
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str | jpeg2hdf5.binoutfilename = testcase + 'input/' + infilename.split('/')[-1] + '.dat' |
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int | jpeg2hdf5.found_hdf = 0 |
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int | jpeg2hdf5.found_bin = 0 |
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| jpeg2hdf5.h = im.size[0] |
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| jpeg2hdf5.w = im.size[1] |
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| jpeg2hdf5.s = im.split() |
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| jpeg2hdf5.r = s[0] |
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| jpeg2hdf5.g = s[0] |
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| jpeg2hdf5.b = s[0] |
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| jpeg2hdf5.rf = r.convert('F') |
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| jpeg2hdf5.gf = g.convert('F') |
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| jpeg2hdf5.bf = b.convert('F') |
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| jpeg2hdf5.rfb = rf.tobytes() |
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| jpeg2hdf5.gfb = gf.tobytes() |
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| jpeg2hdf5.bfb = bf.tobytes() |
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bool | jpeg2hdf5.made_hdf = False |
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| jpeg2hdf5.reds = np.fromstring(rfb, count=(h * w), dtype='float32') |
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| jpeg2hdf5.greens = np.fromstring(gfb, count=(h * w), dtype='float32') |
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| jpeg2hdf5.blues = np.fromstring(bfb, count=(h * w), dtype='float32') |
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tuple | jpeg2hdf5.dset_shape = (1, h, w, 3) |
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| jpeg2hdf5.narr = np.ndarray(shape=(0)) |
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list | jpeg2hdf5.mixed_ch = [] |
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| jpeg2hdf5.dset = f.require_dataset(inputname, dset_shape, dtype='>f4') |
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| jpeg2hdf5.l = narr.tolist() |
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