caffe-deconvnet
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Unexpected Results
I ran the demo code available in python-demo/ folder for the butterfly test image. The output is very different from what is expected based on the publication (ECCV 2014 - https://www.cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf). It is attached below:-
I am using the caffe fork at https://github.com/piergiaj/caffe
make runtest fails at one of the test cases [ RUN ] NetUpgradeTest.TestUpgradeV1LayerType /media/data/aravindh/Software/caffe/piergiaj/caffe/src/caffe/test/test_upgrade_proto.cpp:2897: Failure Value of: V1LayerParameter_LayerType_IsValid(i) Actual: false Expected: true [ FAILED ] NetUpgradeTest.TestUpgradeV1LayerType (1 ms) [----------] 4 tests from NetUpgradeTest (13 ms total)
This has to do with the lines that select the features to send back to the input space (roughly line 68 in the demo code):
feat = net.blobs['pool5'].data feat[0][feat[0] < 150] = 0
If you adjust which features are used, you will get different images.
Hello @aravindhm I have the same problem with you.Have you already solved it ?And Can you give me some advises to work it out. 3Q very much.