search

nshaud / DeepNetsForEO

Deep networks for Earth Observation
Other
476 stars 170 forks source link

problem implementing your model #6

Closed colinmolter closed 7 years ago

colinmolter commented 7 years ago

Hello, I just tried to implement your model. I compiled caffe successfully. i adapted the script to fit my tiles. I get that issue:

.... I0221 05:26:39.852553 1508 net.cpp:408] conv1_1 <- data I0221 05:26:39.852568 1508 net.cpp:382] conv1_1 -> conv1_1 I0221 05:26:39.855118 1508 net.cpp:124] Setting up conv1_1 I0221 05:26:39.855144 1508 net.cpp:131] Top shape: 10 64 128 128 (10485760) I0221 05:26:39.855150 1508 net.cpp:139] Memory required for data: 45875200 I0221 05:26:39.855170 1508 layer_factory.hpp:77] Creating layer conv1_1_bn I0221 05:26:39.856801 1508 net.cpp:86] Creating Layer conv1_1_bn I0221 05:26:39.856830 1508 net.cpp:408] conv1_1_bn <- conv1_1 I0221 05:26:39.856847 1508 net.cpp:369] conv1_1_bn -> conv1_1 (in-place) F0221 05:26:39.856976 1508 batch_norm_layer.cpp:44] Check failed: this-> layerparam.param(i).lr_mult() == 0.f (0.5 vs. 0) Cannot configure batch normalization statistics as layer parameters.

Check failure stack trace:

`

any idea about what to do, where to check? thx colin

nshaud commented 7 years ago

You're right. Since a recent Caffe update, the lr_mult option does not apply to the BachNormalization layer anymore, I fixed the scripts to reflect this.

Please pull the last update and confirm that this works for you.