myopengit
commented
7 years ago The following is all the outputs, is it because I use a new version of caffe?
WARNING: Logging before InitGoogleLogging() is written to STDERR
W0315 21:17:22.549293 6844 _caffe.cpp:122] DEPRECATION WARNING - deprecated use of Python interface
W0315 21:17:22.549314 6844 _caffe.cpp:123] Use this instead (with the named "weights" parameter):
W0315 21:17:22.549316 6844 _caffe.cpp:125] Net('/home/c/code/ModelCNN/cnn_age_gender_models_and_data.0.0.2/deploy_age.prototxt', 1, weights='/home/c/code/ModelCNN/cnn_age_gender_models_and_data.0.0.2/age_net.caffemodel')
I0315 21:17:22.550670 6844 upgrade_proto.cpp:53] Attempting to upgrade input file specified using deprecated V1LayerParameter: /home/c/code/ModelCNN/cnn_age_gender_models_and_data.0.0.2/deploy_age.prototxt
I0315 21:17:22.550699 6844 upgrade_proto.cpp:61] Successfully upgraded file specified using deprecated V1LayerParameter
I0315 21:17:22.550709 6844 upgrade_proto.cpp:67] Attempting to upgrade input file specified using deprecated input fields: /home/c/code/ModelCNN/cnn_age_gender_models_and_data.0.0.2/deploy_age.prototxt
I0315 21:17:22.550714 6844 upgrade_proto.cpp:70] Successfully upgraded file specified using deprecated input fields.
W0315 21:17:22.550714 6844 upgrade_proto.cpp:72] Note that future Caffe releases will only support input layers and not input fields.
I0315 21:17:22.971917 6844 net.cpp:58] Initializing net from parameters:
name: "CaffeNet"
state {
phase: TEST
level: 0
}
layer {
name: "input"
type: "Input"
top: "data"
input_param {
shape {
dim: 1
dim: 3
dim: 227
dim: 227
}
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
convolution_param {
num_output: 96
kernel_size: 7
stride: 4
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm1"
type: "LRN"
bottom: "pool1"
top: "norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "norm1"
top: "conv2"
convolution_param {
num_output: 256
pad: 2
kernel_size: 5
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm2"
type: "LRN"
bottom: "pool2"
top: "norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "norm2"
top: "conv3"
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "conv3"
top: "pool5"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fc6"
type: "InnerProduct"
bottom: "pool5"
top: "fc6"
inner_product_param {
num_output: 512
}
}
layer {
name: "relu6"
type: "ReLU"
bottom: "fc6"
top: "fc6"
}
layer {
name: "drop6"
type: "Dropout"
bottom: "fc6"
top: "fc6"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc7"
type: "InnerProduct"
bottom: "fc6"
top: "fc7"
inner_product_param {
num_output: 512
}
}
layer {
name: "relu7"
type: "ReLU"
bottom: "fc7"
top: "fc7"
}
layer {
name: "drop7"
type: "Dropout"
bottom: "fc7"
top: "fc7"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc8"
type: "InnerProduct"
bottom: "fc7"
top: "fc8"
inner_product_param {
num_output: 8
}
}
layer {
name: "prob"
type: "Softmax"
bottom: "fc8"
top: "prob"
}
I0315 21:17:22.972645 6844 layer_factory.hpp:77] Creating layer input
I0315 21:17:22.972664 6844 net.cpp:100] Creating Layer input
I0315 21:17:22.972674 6844 net.cpp:408] input -> data
I0315 21:17:22.973042 6844 net.cpp:150] Setting up input
I0315 21:17:22.973152 6844 net.cpp:157] Top shape: 1 3 227 227 (154587)
I0315 21:17:22.973203 6844 net.cpp:165] Memory required for data: 618348
I0315 21:17:22.973243 6844 layer_factory.hpp:77] Creating layer conv1
I0315 21:17:22.973295 6844 net.cpp:100] Creating Layer conv1
I0315 21:17:22.973307 6844 net.cpp:434] conv1 <- data
I0315 21:17:22.973317 6844 net.cpp:408] conv1 -> conv1
I0315 21:17:34.799007 6844 net.cpp:150] Setting up conv1
I0315 21:17:34.799028 6844 net.cpp:157] Top shape: 1 96 56 56 (301056)
I0315 21:17:34.799031 6844 net.cpp:165] Memory required for data: 1822572
I0315 21:17:34.799041 6844 layer_factory.hpp:77] Creating layer relu1
I0315 21:17:34.799049 6844 net.cpp:100] Creating Layer relu1
I0315 21:17:34.799052 6844 net.cpp:434] relu1 <- conv1
I0315 21:17:34.799055 6844 net.cpp:395] relu1 -> conv1 (in-place)
I0315 21:17:34.799383 6844 net.cpp:150] Setting up relu1
I0315 21:17:34.799389 6844 net.cpp:157] Top shape: 1 96 56 56 (301056)
I0315 21:17:34.799391 6844 net.cpp:165] Memory required for data: 3026796
I0315 21:17:34.799393 6844 layer_factory.hpp:77] Creating layer pool1
I0315 21:17:34.799398 6844 net.cpp:100] Creating Layer pool1
I0315 21:17:34.799399 6844 net.cpp:434] pool1 <- conv1
I0315 21:17:34.799402 6844 net.cpp:408] pool1 -> pool1
I0315 21:17:34.799413 6844 net.cpp:150] Setting up pool1
I0315 21:17:34.799417 6844 net.cpp:157] Top shape: 1 96 28 28 (75264)
I0315 21:17:34.799418 6844 net.cpp:165] Memory required for data: 3327852
I0315 21:17:34.799419 6844 layer_factory.hpp:77] Creating layer norm1
I0315 21:17:34.799433 6844 net.cpp:100] Creating Layer norm1
I0315 21:17:34.799435 6844 net.cpp:434] norm1 <- pool1
I0315 21:17:34.799438 6844 net.cpp:408] norm1 -> norm1
I0315 21:17:34.799562 6844 net.cpp:150] Setting up norm1
I0315 21:17:34.799567 6844 net.cpp:157] Top shape: 1 96 28 28 (75264)
I0315 21:17:34.799568 6844 net.cpp:165] Memory required for data: 3628908
I0315 21:17:34.799571 6844 layer_factory.hpp:77] Creating layer conv2
I0315 21:17:34.799576 6844 net.cpp:100] Creating Layer conv2
I0315 21:17:34.799578 6844 net.cpp:434] conv2 <- norm1
I0315 21:17:34.799582 6844 net.cpp:408] conv2 -> conv2
I0315 21:17:34.801440 6844 net.cpp:150] Setting up conv2
I0315 21:17:34.801450 6844 net.cpp:157] Top shape: 1 256 28 28 (200704)
I0315 21:17:34.801451 6844 net.cpp:165] Memory required for data: 4431724
I0315 21:17:34.801457 6844 layer_factory.hpp:77] Creating layer relu2
I0315 21:17:34.801461 6844 net.cpp:100] Creating Layer relu2
I0315 21:17:34.801463 6844 net.cpp:434] relu2 <- conv2
I0315 21:17:34.801466 6844 net.cpp:395] relu2 -> conv2 (in-place)
I0315 21:17:34.801789 6844 net.cpp:150] Setting up relu2
I0315 21:17:34.801795 6844 net.cpp:157] Top shape: 1 256 28 28 (200704)
I0315 21:17:34.801797 6844 net.cpp:165] Memory required for data: 5234540
I0315 21:17:34.801800 6844 layer_factory.hpp:77] Creating layer pool2
I0315 21:17:34.801803 6844 net.cpp:100] Creating Layer pool2
I0315 21:17:34.801805 6844 net.cpp:434] pool2 <- conv2
I0315 21:17:34.801808 6844 net.cpp:408] pool2 -> pool2
I0315 21:17:34.801815 6844 net.cpp:150] Setting up pool2
I0315 21:17:34.801816 6844 net.cpp:157] Top shape: 1 256 14 14 (50176)
I0315 21:17:34.801818 6844 net.cpp:165] Memory required for data: 5435244
I0315 21:17:34.801820 6844 layer_factory.hpp:77] Creating layer norm2
I0315 21:17:34.801823 6844 net.cpp:100] Creating Layer norm2
I0315 21:17:34.801826 6844 net.cpp:434] norm2 <- pool2
I0315 21:17:34.801828 6844 net.cpp:408] norm2 -> norm2
I0315 21:17:34.801950 6844 net.cpp:150] Setting up norm2
I0315 21:17:34.801956 6844 net.cpp:157] Top shape: 1 256 14 14 (50176)
I0315 21:17:34.801957 6844 net.cpp:165] Memory required for data: 5635948
I0315 21:17:34.801959 6844 layer_factory.hpp:77] Creating layer conv3
I0315 21:17:34.801964 6844 net.cpp:100] Creating Layer conv3
I0315 21:17:34.801966 6844 net.cpp:434] conv3 <- norm2
I0315 21:17:34.801970 6844 net.cpp:408] conv3 -> conv3
I0315 21:17:34.803786 6844 net.cpp:150] Setting up conv3
I0315 21:17:34.803794 6844 net.cpp:157] Top shape: 1 384 14 14 (75264)
I0315 21:17:34.803797 6844 net.cpp:165] Memory required for data: 5937004
I0315 21:17:34.803803 6844 layer_factory.hpp:77] Creating layer relu3
I0315 21:17:34.803807 6844 net.cpp:100] Creating Layer relu3
I0315 21:17:34.803809 6844 net.cpp:434] relu3 <- conv3
I0315 21:17:34.803812 6844 net.cpp:395] relu3 -> conv3 (in-place)
I0315 21:17:34.804126 6844 net.cpp:150] Setting up relu3
I0315 21:17:34.804132 6844 net.cpp:157] Top shape: 1 384 14 14 (75264)
I0315 21:17:34.804134 6844 net.cpp:165] Memory required for data: 6238060
I0315 21:17:34.804136 6844 layer_factory.hpp:77] Creating layer pool5
I0315 21:17:34.804157 6844 net.cpp:100] Creating Layer pool5
I0315 21:17:34.804159 6844 net.cpp:434] pool5 <- conv3
I0315 21:17:34.804162 6844 net.cpp:408] pool5 -> pool5
I0315 21:17:34.804168 6844 net.cpp:150] Setting up pool5
I0315 21:17:34.804172 6844 net.cpp:157] Top shape: 1 384 7 7 (18816)
I0315 21:17:34.804172 6844 net.cpp:165] Memory required for data: 6313324
I0315 21:17:34.804174 6844 layer_factory.hpp:77] Creating layer fc6
I0315 21:17:34.804178 6844 net.cpp:100] Creating Layer fc6
I0315 21:17:34.804179 6844 net.cpp:434] fc6 <- pool5
I0315 21:17:34.804183 6844 net.cpp:408] fc6 -> fc6
I0315 21:17:34.810413 6844 net.cpp:150] Setting up fc6
I0315 21:17:34.810448 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.810451 6844 net.cpp:165] Memory required for data: 6315372
I0315 21:17:34.810458 6844 layer_factory.hpp:77] Creating layer relu6
I0315 21:17:34.810464 6844 net.cpp:100] Creating Layer relu6
I0315 21:17:34.810467 6844 net.cpp:434] relu6 <- fc6
I0315 21:17:34.810472 6844 net.cpp:395] relu6 -> fc6 (in-place)
I0315 21:17:34.810688 6844 net.cpp:150] Setting up relu6
I0315 21:17:34.810693 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.810714 6844 net.cpp:165] Memory required for data: 6317420
I0315 21:17:34.810715 6844 layer_factory.hpp:77] Creating layer drop6
I0315 21:17:34.810719 6844 net.cpp:100] Creating Layer drop6
I0315 21:17:34.810721 6844 net.cpp:434] drop6 <- fc6
I0315 21:17:34.810724 6844 net.cpp:395] drop6 -> fc6 (in-place)
I0315 21:17:34.810729 6844 net.cpp:150] Setting up drop6
I0315 21:17:34.810731 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.810732 6844 net.cpp:165] Memory required for data: 6319468
I0315 21:17:34.810734 6844 layer_factory.hpp:77] Creating layer fc7
I0315 21:17:34.810737 6844 net.cpp:100] Creating Layer fc7
I0315 21:17:34.810739 6844 net.cpp:434] fc7 <- fc6
I0315 21:17:34.810755 6844 net.cpp:408] fc7 -> fc7
I0315 21:17:34.811107 6844 net.cpp:150] Setting up fc7
I0315 21:17:34.811111 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.811113 6844 net.cpp:165] Memory required for data: 6321516
I0315 21:17:34.811138 6844 layer_factory.hpp:77] Creating layer relu7
I0315 21:17:34.811142 6844 net.cpp:100] Creating Layer relu7
I0315 21:17:34.811144 6844 net.cpp:434] relu7 <- fc7
I0315 21:17:34.811146 6844 net.cpp:395] relu7 -> fc7 (in-place)
I0315 21:17:34.811532 6844 net.cpp:150] Setting up relu7
I0315 21:17:34.811538 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.811540 6844 net.cpp:165] Memory required for data: 6323564
I0315 21:17:34.811560 6844 layer_factory.hpp:77] Creating layer drop7
I0315 21:17:34.811564 6844 net.cpp:100] Creating Layer drop7
I0315 21:17:34.811566 6844 net.cpp:434] drop7 <- fc7
I0315 21:17:34.811583 6844 net.cpp:395] drop7 -> fc7 (in-place)
I0315 21:17:34.811588 6844 net.cpp:150] Setting up drop7
I0315 21:17:34.811589 6844 net.cpp:157] Top shape: 1 512 (512)
I0315 21:17:34.811591 6844 net.cpp:165] Memory required for data: 6325612
I0315 21:17:34.811592 6844 layer_factory.hpp:77] Creating layer fc8
I0315 21:17:34.811595 6844 net.cpp:100] Creating Layer fc8
I0315 21:17:34.811597 6844 net.cpp:434] fc8 <- fc7
I0315 21:17:34.811600 6844 net.cpp:408] fc8 -> fc8
I0315 21:17:34.811614 6844 net.cpp:150] Setting up fc8
I0315 21:17:34.811616 6844 net.cpp:157] Top shape: 1 8 (8)
I0315 21:17:34.811617 6844 net.cpp:165] Memory required for data: 6325644
I0315 21:17:34.811621 6844 layer_factory.hpp:77] Creating layer prob
I0315 21:17:34.811625 6844 net.cpp:100] Creating Layer prob
I0315 21:17:34.811626 6844 net.cpp:434] prob <- fc8
I0315 21:17:34.811630 6844 net.cpp:408] prob -> prob
I0315 21:17:34.811761 6844 net.cpp:150] Setting up prob
I0315 21:17:34.811765 6844 net.cpp:157] Top shape: 1 8 (8)
I0315 21:17:34.811767 6844 net.cpp:165] Memory required for data: 6325676
I0315 21:17:34.811787 6844 net.cpp:228] prob does not need backward computation.
I0315 21:17:34.811789 6844 net.cpp:228] fc8 does not need backward computation.
I0315 21:17:34.811792 6844 net.cpp:228] drop7 does not need backward computation.
I0315 21:17:34.811794 6844 net.cpp:228] relu7 does not need backward computation.
I0315 21:17:34.811795 6844 net.cpp:228] fc7 does not need backward computation.
I0315 21:17:34.811796 6844 net.cpp:228] drop6 does not need backward computation.
I0315 21:17:34.811799 6844 net.cpp:228] relu6 does not need backward computation.
I0315 21:17:34.811800 6844 net.cpp:228] fc6 does not need backward computation.
I0315 21:17:34.811801 6844 net.cpp:228] pool5 does not need backward computation.
I0315 21:17:34.811803 6844 net.cpp:228] relu3 does not need backward computation.
I0315 21:17:34.811805 6844 net.cpp:228] conv3 does not need backward computation.
I0315 21:17:34.811806 6844 net.cpp:228] norm2 does not need backward computation.
I0315 21:17:34.811808 6844 net.cpp:228] pool2 does not need backward computation.
I0315 21:17:34.811810 6844 net.cpp:228] relu2 does not need backward computation.
I0315 21:17:34.811811 6844 net.cpp:228] conv2 does not need backward computation.
I0315 21:17:34.811813 6844 net.cpp:228] norm1 does not need backward computation.
I0315 21:17:34.811815 6844 net.cpp:228] pool1 does not need backward computation.
I0315 21:17:34.811817 6844 net.cpp:228] relu1 does not need backward computation.
I0315 21:17:34.811820 6844 net.cpp:228] conv1 does not need backward computation.
I0315 21:17:34.811821 6844 net.cpp:228] input does not need backward computation.
I0315 21:17:34.811822 6844 net.cpp:270] This network produces output prob
I0315 21:17:34.811831 6844 net.cpp:283] Network initialization done.
I0315 21:17:34.862948 6844 upgrade_proto.cpp:53] Attempting to upgrade input file specified using deprecated V1LayerParameter: /home/c/code/ModelCNN/cnn_age_gender_models_and_data.0.0.2/age_net.caffemodel
I0315 21:17:34.882393 6844 upgrade_proto.cpp:61] Successfully upgraded file specified using deprecated V1LayerParameter
I0315 21:17:34.882598 6844 net.cpp:761] Ignoring source layer data
I0315 21:17:34.888499 6844 net.cpp:761] Ignoring source layer loss
Traceback (most recent call last):
File "/home/c/code/eclipsecode/AgeCNN/src/main.py", line 31, in
GilLevi
danionescu0
Hello,
Thank you for your code. When I run the following function, I come across the mean shape error, any ideas? I used the default model and deploy_age file. age_net = caffe.Classifier(age_net_model_file, age_net_pretrained, mean=mean, channel_swap=(2,1,0), raw_scale=255, image_dims=(256, 256))
Error information: I0314 21:59:41.323429 6578 net.cpp:761] Ignoring source layer data I0314 21:59:41.329099 6578 net.cpp:761] Ignoring source layer loss Traceback (most recent call last): File "/home/c/code/eclipsecode/AgeCNN/src/main.py", line 31, in
image_dims=(256, 256))
File "/home/c/software/gpu_caffe/python/caffe/classifier.py", line 34, in init
self.transformer.setmean(in, mean)
File "/home/c/software/gpu_caffe/python/caffe/io.py", line 259, in set_mean
raise ValueError('Mean shape incompatible with input shape.')
ValueError: Mean shape incompatible with input shape.