| #Gitignore for files generated by Xilinx ISE | |
| *.log | |
| *.svf | |
| *.scr | |
| *.cmd | |
| *.bak | |
| *.lso | |
| *.elf | |
| *.ace |
| name | caffemodel | caffemodel_url | license | sha1 | caffe_commit |
|---|---|---|---|---|---|
Vanilla CNN Model |
vanillaCNN.caffemodel |
unrestricted |
b5e34ce75d078025e07452cb47e65d198fe27912 |
9c9f94e18a8909580a6b94c44dbb1e46f0ee8eb8 |
Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project.
| # Check if SSE instructions are available on the machine where | |
| # the project is compiled. | |
| MACRO (FindSSE) | |
| IF(CMAKE_SYSTEM_NAME MATCHES "Linux") | |
| EXEC_PROGRAM(cat ARGS "/proc/cpuinfo" OUTPUT_VARIABLE CPUINFO) | |
| STRING(REGEX REPLACE "^.*(sse2).*$" "¥¥1" SSE_THERE ${CPUINFO}) | |
| STRING(COMPARE EQUAL "sse2" "${SSE_THERE}" SSE2_TRUE) |
| // memdjpeg - A super simple example of how to decode a jpeg in memory | |
| // Kenneth Finnegan, 2012 | |
| // blog.thelifeofkenneth.com | |
| // | |
| // After installing jpeglib, compile with: | |
| // cc memdjpeg.c -ljpeg -o memdjpeg | |
| // | |
| // Run with: | |
| // ./memdjpeg filename.jpg | |
| // |
| import numpy as np | |
| import tensorflow as tf | |
| # N, size of matrix. R, rank of data | |
| N = 100 | |
| R = 5 | |
| # generate data | |
| W_true = np.random.randn(N,R) | |
| C_true = np.random.randn(R,N) |
| import numpy as np | |
| import tensorflow as tf | |
| # N, size of matrix. R, rank of data | |
| N = 100 | |
| R = 5 | |
| # generate data | |
| W_true = np.random.randn(N,R) | |
| C_true = np.random.randn(R,N) |
| """ Deep Auto-Encoder implementation | |
| An auto-encoder works as follows: | |
| Data of dimension k is reduced to a lower dimension j using a matrix multiplication: | |
| softmax(W*x + b) = x' | |
| where W is matrix from R^k --> R^j | |
| A reconstruction matrix W' maps back from R^j --> R^k |
| // From http://stackoverflow.com/questions/9128519/reading-many-values-from-numpy-c-api | |
| /* | |
| Make | |
| g++ -o matrix_multiply.o -c matrix_multiply.cpp -I{python include file for numpy/noprefix.h} -I{python include} -fPIC -O2 -Wno-deprecated -Wno-write-strings | |
| g++ -o matrix_multiply.so -shared matrix_multiply.o -L{boost lib path} -lz -lm -ldl -lpthread -boost_python | |
| Python code: | |
| import numpy | |
| import matrix_multiply |
