I used this as my starting point: https://github.com/Dhar/image-dreamer
My base picture is one I took from a plane out of Queenstown (munged version here), resized to 400px wide, and run through the layers as follows:
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| conv1/7x7_s2 |
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| pool1/3x3_s2 |
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| pool1/norm1 |
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| conv2/3x3_reduce |
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| conv2/3x3 |
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| conv2/norm2 |
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| pool2/3x3_s2 |
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| inception_3a/1x1 |
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| inception_3a/3x3_reduce |
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| inception_3a/3x3 |
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| inception_3a/5x5_reduce |
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| inception_3a/5x5 |
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| inception_3a/pool |
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| inception_3a/pool_proj |
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| inception_3a/output |
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| inception_3b/1x1 |
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| inception_3b/3x3_reduce |
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| inception_3b/3x3 |
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| inception_3b/5x5_reduce |
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| inception_3b/5x5 |
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| inception_3b/pool |
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| inception_3b/pool_proj |
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| inception_3b/output |
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| pool3/3x3_s2 |
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| inception_4a/1x1 |
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| inception_4a/3x3_reduce |
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| inception_4a/3x3 |
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| inception_4a/5x5_reduce |
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| inception_4a/5x5 |
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| inception_4a/pool |
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| inception_4a/pool_proj |
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| inception_4a/output |
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| inception_4b/1x1 |
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| inception_4b/3x3_reduce |
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| inception_4b/3x3 |
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| inception_4b/5x5_reduce |
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| inception_4b/5x5 |
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| inception_4b/pool |
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| inception_4b/pool_proj |
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| inception_4b/output |
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| inception_4c/1x1 |
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| inception_4c/3x3_reduce |
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| inception_4c/3x3 |
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| inception_4c/5x5_reduce |
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| inception_4c/5x5 |
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| inception_4c/pool |
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| inception_4c/pool_proj |
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| inception_4c/output |
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| inception_4d/1x1 |
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| inception_4d/3x3_reduce |
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| inception_4d/3x3 |
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| inception_4d/5x5_reduce |
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| inception_4d/5x5 |
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| inception_4d/pool |
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| inception_4d/pool_proj |
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| inception_4d/output |
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| inception_4e/1x1 |
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| inception_4e/3x3_reduce |
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| inception_4e/3x3 |
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| inception_4e/5x5_reduce |
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| inception_4e/5x5 |
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| inception_4e/pool |
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| inception_4e/pool_proj |
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| inception_4e/output |
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| pool4/3x3_s2 |
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| inception_5a/1x1 |
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| inception_5a/3x3_reduce |
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| inception_5a/3x3 |
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| inception_5a/5x5_reduce |
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| inception_5a/5x5 |
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| inception_5a/pool |
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| inception_5a/pool_proj |
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| inception_5a/output |
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| inception_5b/1x1 |
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| inception_5b/3x3_reduce |
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| inception_5b/3x3 |
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| inception_5b/5x5_reduce |
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| inception_5b/5x5 |
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| inception_5b/pool |
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| inception_5b/pool_proj |
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| inception_5b/output |
is there an easy way to reference the layers? i want to be able to call each one in turn, but can't figure out how to reference them. net.blobs[n] doesn't work.
ReplyDeleteI want to use different layers than what the
ReplyDeletedefault is. Its defaulting me to Inception 4c.
How would I go about changing to a different
layer?
"conv1/7x7_s2" "pool1/3x3_s2" "pool1/norm1"
"conv2/3x3_reduce" "conv2/3x3" "conv2/norm2"
"pool2/3x3_s2" "inception_3a/1x1"
"inception_3a/3x3_reduce" "inception_3a/3x3"
"inception_3a/5x5_reduce" "inception_3a/5x5"
"inception_3a/pool" "inception_3a/pool_proj"
"inception_3a/output" "inception_3b/1x1"
"inception_3b/3x3_reduce" "inception_3b/3x3"
"inception_3b/5x5_reduce" "inception_3b/5x5"
"inception_3b/pool" "inception_3b/pool_proj"
"inception_3b/output" "pool3/3x3_s2"
"inception_4a/1x1" "inception_4a/3x3_reduce"
"inception_4a/3x3" "inception_4a/5x5_reduce"
"inception_4a/5x5" "inception_4a/pool"
"inception_4a/pool_proj" "inception_4a/output"
"inception_4b/1x1" "inception_4b/3x3_reduce"
"inception_4b/3x3" "inception_4b/5x5_reduce"
"inception_4b/5x5" "inception_4b/pool"
"inception_4b/pool_proj" "inception_4b/output"
"inception_4c/1x1" "inception_4c/3x3_reduce"
"inception_4c/3x3" "inception_4c/5x5_reduce"
"inception_4c/5x5" "inception_4c/pool"
"inception_4c/pool_proj" "inception_4c/output"
"inception_4d/1x1" "inception_4d/3x3_reduce"
"inception_4d/3x3" "inception_4d/5x5_reduce"
"inception_4d/5x5" "inception_4d/pool"
"inception_4d/pool_proj" "inception_4d/output"
"inception_4e/1x1" "inception_4e/3x3_reduce"
"inception_4e/3x3" "inception_4e/5x5_reduce"
"inception_4e/5x5" "inception_4e/pool"
"inception_4e/pool_proj" "inception_4e/output"
"pool4/3x3_s2" "inception_5a/1x1"
"inception_5a/3x3_reduce" "inception_5a/3x3"
"inception_5a/5x5_reduce" "inception_5a/5x5"
"inception_5a/pool" "inception_5a/pool_proj"
"inception_5a/output" "inception_5b/1x1"
"inception_5b/3x3_reduce" "inception_5b/3x3"
"inception_5b/5x5_reduce" "inception_5b/5x5"
"inception_5b/pool" "inception_5b/pool_proj"
"inception_5b/output" "pool5/7x7_s1"
"pool5/drop_7x7_s1" "loss3/classifier" "prob"
pop one of those in place of
"inception_4c/output"
in dreamify.py
I want to use different layers than what the
ReplyDeletedefault is. Its defaulting me to Inception 4c.
How would I go about changing to a different
layer?
"conv1/7x7_s2" "pool1/3x3_s2" "pool1/norm1"
"conv2/3x3_reduce" "conv2/3x3" "conv2/norm2"
"pool2/3x3_s2" "inception_3a/1x1"
"inception_3a/3x3_reduce" "inception_3a/3x3"
"inception_3a/5x5_reduce" "inception_3a/5x5"
"inception_3a/pool" "inception_3a/pool_proj"
"inception_3a/output" "inception_3b/1x1"
"inception_3b/3x3_reduce" "inception_3b/3x3"
"inception_3b/5x5_reduce" "inception_3b/5x5"
"inception_3b/pool" "inception_3b/pool_proj"
"inception_3b/output" "pool3/3x3_s2"
"inception_4a/1x1" "inception_4a/3x3_reduce"
"inception_4a/3x3" "inception_4a/5x5_reduce"
"inception_4a/5x5" "inception_4a/pool"
"inception_4a/pool_proj" "inception_4a/output"
"inception_4b/1x1" "inception_4b/3x3_reduce"
"inception_4b/3x3" "inception_4b/5x5_reduce"
"inception_4b/5x5" "inception_4b/pool"
"inception_4b/pool_proj" "inception_4b/output"
"inception_4c/1x1" "inception_4c/3x3_reduce"
"inception_4c/3x3" "inception_4c/5x5_reduce"
"inception_4c/5x5" "inception_4c/pool"
"inception_4c/pool_proj" "inception_4c/output"
"inception_4d/1x1" "inception_4d/3x3_reduce"
"inception_4d/3x3" "inception_4d/5x5_reduce"
"inception_4d/5x5" "inception_4d/pool"
"inception_4d/pool_proj" "inception_4d/output"
"inception_4e/1x1" "inception_4e/3x3_reduce"
"inception_4e/3x3" "inception_4e/5x5_reduce"
"inception_4e/5x5" "inception_4e/pool"
"inception_4e/pool_proj" "inception_4e/output"
"pool4/3x3_s2" "inception_5a/1x1"
"inception_5a/3x3_reduce" "inception_5a/3x3"
"inception_5a/5x5_reduce" "inception_5a/5x5"
"inception_5a/pool" "inception_5a/pool_proj"
"inception_5a/output" "inception_5b/1x1"
"inception_5b/3x3_reduce" "inception_5b/3x3"
"inception_5b/5x5_reduce" "inception_5b/5x5"
"inception_5b/pool" "inception_5b/pool_proj"
"inception_5b/output" "pool5/7x7_s1"
"pool5/drop_7x7_s1" "loss3/classifier" "prob"
pop one of those in place of
"inception_4c/output"
in dreamify.py