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7599262
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2011-09-29T14:57:41.893
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2011-09-29T15:42:38.127
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2011-09-29T15:42:38.127
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It looks like there are some bugs with converting to/from numpy with the <code>1</code> mode. If you convert it to <code>L</code> first, it works fine: <pre><code>>>> im <BmpImagePlugin.BmpImageFile image mode=1 size=2x2 at 0x17F17E8> >>> im2 = im.convert('L') >>> numpy.asarray(im2) array([[ 0, 255], [255, 0]], dtype=uint8) </code></pre> Also, if you try and convert a <code>bool</code> numpy array to PIL, you get strange results: <pre><code>>>> testarr = numpy.array([[True,False],[True,False]], dtype=numpy.bool) >>> testpil = Image.fromarray(testarr, mode='1') >>> numpy.asarray(testpil) array([[False, False], [False, False]], dtype=bool) </code></pre> However, the exact same thing with <code>uint8</code> works fine: <pre><code>>>> testarr = numpy.array([[255,0],[0,255]], dtype=numpy.uint8) >>> Image.fromarray(testarr) <Image.Image image mode=L size=2x2 at 0x1B51320> >>> numpy.asarray(Image.fromarray(testarr)) array([[255, 0], [ 0, 255]], dtype=uint8) </code></pre> So I would suggest using <code>L</code> as an intermediate datatype and then converting to <code>1</code> before saving if you need to save it in that format. Something like this: <pre><code>>>> im <BmpImagePlugin.BmpImageFile image mode=1 size=2x2 at 0x17F17E8> >>> im2 = im.convert('L') >>> arr = numpy.asarray(im2) >>> arr array([[ 0, 255], [255, 0]], dtype=uint8) >>> arr = arr == 255 >>> arr array([[False, True], [ True, False]], dtype=bool) </code></pre> Then to convert back: <pre><code>>>> backarr = numpy.zeros(arr.shape, dtype=numpy.uint8) >>> backarr[arr] = 255 >>> backarr array([[ 0, 255], [255, 0]], dtype=uint8) >>> Image.fromarray(backarr).convert('1') <Image.Image image mode=1 size=2x2 at 0x1B41CB0> </code></pre>
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1. POHow to convert image which mode is "1" between PIL and numpy?
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1. CO`Image.fromarray` has an argument `mode`. `Image.fromarray(testarr, mode='1')` works without exception. But I don't know whether PIL handled it correctly. Is it realy a bug?
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2. CO@Clippit thanks for pointing that out. still looks broken though - updated my answer
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