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I am trying to run this network for face recognition. http://www.robots.ox.ac.uk/~vgg/software/vgg_face/
The inference time is 750ms which seems too high. What can be the issue here?
Network Summary
Detailed Per Layer Profile
Bandwidth time
# Name MFLOPs (MB/s) (ms)
===============================================================================================================================
0 conv1_1 173.4 304.2 8.510
1 conv1_2 3699.4 663.1 83.248
2 pool1 3.2 832.7 7.356
3 conv2_1 1849.7 421.7 33.017
4 conv2_2 3699.4 474.0 58.752
5 pool2 1.6 923.1 3.318
6 conv3_1 1849.7 171.7 43.405
7 conv3_2 3699.4 177.9 83.779
8 conv3_3 3699.4 178.0 83.765
9 pool3 0.8 932.3 1.643
10 conv4_1 1849.7 136.6 41.684
11 conv4_2 3699.4 172.4 66.082
12 conv4_3 3699.4 172.6 65.987
13 pool4 0.4 926.7 0.826
14 conv5_1 924.8 317.1 19.627
15 conv5_2 924.8 316.9 19.634
16 conv5_3 924.8 314.6 19.780
17 pool5 0.1 880.9 0.217
18 fc6 205.5 2157.2 90.881
19 fc7 33.6 2138.0 14.971
20 fc8 21.5 2106.5 9.728
21 prob 0.0 10.9 0.458
-------------------------------------------------------------------------------------------------------------------------------
Total inference time 756.67
-------------------------------------------------------------------------------------------------------------------------------
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@AshwinVijayakumar can you assist here? Why is it taking too long
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@gauravmoon Hey, how did you make it work. While compiling, I am getting this error:
"mvNCCompile VGG_FACE_deploy.prototxt -w VGG_FACE.caffemodel -s 12"
[Error 20] Toolkit Error: Input Layer must be in an input_shape construct.
Can you please guide me with this. Thanks :)
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@sri_mash Please visit https://movidius.github.io/ncsdk/Caffe.html and take notice that there is a specific input format that we support. The input for the prototxt file should be in this format:
name: "GoogleNet"
input: "data"
input_shape
{ dim:1 dim:3 dim:224 dim:224 }
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@Tome_at_Intel Thanks a lot! :)
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