From e111e52ea09f03fc309052b00a452ced52668f70 Mon Sep 17 00:00:00 2001 From: Francois Fleuret Date: Fri, 24 Aug 2018 00:10:57 +0200 Subject: [PATCH] Update. --- ae_size.py | 9 ++++---- blacklab.jpg | Bin 0 -> 47164 bytes hallu-result.png | Bin 0 -> 3335127 bytes hallu.py | 59 +++++++++++++++++++++++++++++++++++++++++++++++ 4 files changed, 64 insertions(+), 4 deletions(-) create mode 100644 blacklab.jpg create mode 100644 hallu-result.png create mode 100755 hallu.py diff --git a/ae_size.py b/ae_size.py index 25ecc4a..8afb101 100755 --- a/ae_size.py +++ b/ae_size.py @@ -12,9 +12,9 @@ def minimal_input_size(w, layer_specs): return w else: kernel_size, stride = layer_specs[0] - w = math.ceil((w - kernel_size) / stride) + 1 - w = minimal_input_size(w, layer_specs[1:]) - return int((w - 1) * stride + kernel_size) + v = int(math.ceil((w - kernel_size) / stride)) + 1 + v = minimal_input_size(v, layer_specs[1:]) + return (v - 1) * stride + kernel_size ###################################################################### @@ -22,9 +22,10 @@ def minimal_input_size(w, layer_specs): if __name__ == "__main__": - layer_specs = [ (11, 5), (5, 4), (3, 2), (3, 2) ] + layer_specs = [ (17, 5), (5, 4), (3, 2), (3, 2) ] layers = [] + for kernel_size, stride in layer_specs: layers.append(nn.Conv2d(1, 1, kernel_size, stride)) diff --git a/blacklab.jpg b/blacklab.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fd855378aab50745b2156be483898f80e109aae3 GIT binary patch literal 47164 zcmc$`byytD(>A)eOK^90hsE99-4_Y&7CgaSg9dkZ2qCybf;+(-l3)oWkZ*~Q=O^zu z?|1$=!?imt_g&LfUDeYUQ?ox7e{2BI<)!7M0T2)n09o)K;KwG-tdzH{6#$^51YiIF z0Pp}r2s8jBxCE^zBL#p!|5-)=*TWzP05IS)1o)ExLHJmH2|)*d`q>Uq5lfc}XG0JPs z!Tq&G62k8?IslM__=vYkO86-sd~Ha_q{PRvXHwE*IUw)P*x1?F@*sZ80oyJQ@{hd$ z8+lOwD8u|ILxvUL{>2ym8b5ft0e~XN-|Y`&sDG4UewV?sTLk;J9SnOo9;h|o&oKC7 z`Dl4wGIln8c20h7;NRK!M;ib@j18X8gFig*`Qfkxi<@~k^YH;WIQam8e?NmQ0P)ib 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