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Author SHA1 Message Date
Tadas Baltrusaitis
98e9d3e6f2 Faster way to call gemm through fortran. 2017-08-28 12:11:38 +01:00
Tadas Baltrusaitis
7e4109070b Big speedup of CNN using OpenBLAS, still lots of potential for speedups 2017-08-28 10:26:24 +01:00
Tadas Baltrusaitis
2b7620e56a Adding missing OpenBLAS binaries. 2017-08-28 08:32:26 +01:00
Tadas Baltrusaitis
c0b175c73a Adding missing OpenBLAS files 2017-08-28 08:27:27 +01:00
Tadas Baltrusaitis
6414efef72 - A better way to link to OpenBLAS (using pre-compiled binaries), this leads to faster computation on Windows 
- Demo script fixes
 2017-08-27 15:51:40 +01:00
Tadas Baltrusaitis
f62516789c Simplifying conversion to grayscale 2017-08-26 17:01:54 +01:00
Tadas Baltrusaitis
2ea630c834 Removing debug visualization. 2017-08-26 15:51:15 +01:00
Tadas Baltrusaitis
ba6a497fcc Better output visualization in images when there are multiple faces 2017-08-26 15:47:10 +01:00
Tadas Baltrusaitis
e8e93c3f96 Incorporating MTCNN face detection with CE-CLM. 
Merge remote-tracking branch 'origin/feature/mtcnn_face_det' into feature/CE-CLM

# Conflicts:
#	exe/FaceLandmarkImg/FaceLandmarkImg.cpp
#	exe/FaceLandmarkVid/FaceLandmarkVid.cpp
#	exe/FaceLandmarkVidMulti/FaceLandmarkVidMulti.cpp
#	exe/FeatureExtraction/FeatureExtraction.cpp
#	lib/local/LandmarkDetector/LandmarkDetector.vcxproj
#	lib/local/LandmarkDetector/LandmarkDetector.vcxproj.filters
#	lib/local/LandmarkDetector/src/LandmarkDetectorFunc.cpp
#	lib/local/LandmarkDetector/src/LandmarkDetectorParameters.cpp
#	lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
 2017-08-26 13:23:16 +01:00
Tadas Baltrusaitis
92dde3b80f Speeding up the fully connected layer through better data layout 2017-08-24 17:00:32 +01:00
Tadas Baltrusaitis
a25da69550 A big PReLU speedup by making it in place and iterating smarter over it. 2017-08-23 22:25:28 +01:00
Tadas Baltrusaitis
a2a3bd08c2 Another optimization of moving the bias term addition to the matrix multiplication. 2017-08-23 20:43:19 +01:00
Tadas Baltrusaitis
b57bdd2127 Speeding up MTCNN a bit, through optimization of im2col and transposing the convolution multiplication so it is easier to split 2017-08-23 20:00:18 +01:00
Tadas Baltrusaitis
452d1b8008 Integrating MTCNN in all of the demos. 2017-08-18 20:57:19 +01:00
Tadas Baltrusaitis
a251415fea Starting to incorporate MTCNN 2017-08-18 10:03:01 +01:00
Tadas Baltrusaitis
a3be476d4d Parallelizing the MTCNN face detection 2017-08-17 14:17:20 +01:00
Tadas Baltrusaitis
441777c9ed Code cleanup and rearrangement. 2017-08-17 12:35:11 +01:00
Tadas Baltrusaitis
8d01ea5911 Different implementation of convolution, through matrix multiplication which is quite a bit faster. 2017-08-17 11:40:57 +01:00
Tadas Baltrusaitis
2bd085cb47 Exploring CNN optimization 2017-08-16 17:14:00 +01:00
Tadas Baltrusaitis
d062ab690d Final bit of simplification and fixing an issue with RNet and ONet. 2017-08-15 21:53:25 +01:00
Tadas Baltrusaitis
f4e73cc23f Simplification of flow 2017-08-15 18:06:12 +01:00
Tadas Baltrusaitis
f8519bf385 Simplifying CNN code, plus max-pooling bug fix. 2017-08-15 17:57:25 +01:00
Tadas Baltrusaitis
0c2137d950 Adding bounding box correction and an addition to non maximum supression. 2017-08-15 11:44:05 +01:00
Tadas Baltrusaitis
dd17680e2c RNet and ONet application. 2017-08-15 10:13:08 +01:00
Tadas Baltrusaitis
02a66563e1 Fixing max-pooling for different stride sizes. 2017-08-15 08:55:37 +01:00
Tadas Baltrusaitis
1d76c96cc8 Finishing the PNet step and preparing output for RNet. 2017-08-14 22:07:21 +01:00
Tadas Baltrusaitis
0f94d53d9d Helper functions for MTCNN implementation. 2017-08-14 16:23:44 +01:00
Tadas Baltrusaitis
3f2e6f228a C++ testing on 300W test set. 2017-08-11 15:01:32 -04:00
Tadas Baltrusaitis
6dbed701bc Fix with CNN inference sizes. 2017-08-11 14:56:45 -04:00
Tadas Baltrusaitis
5588742e32 300W experiment with C++ data and sparse response maps. 2017-08-11 13:49:55 -04:00
Tadas Baltrusaitis
bfb9129b31 Adding sparse response map results on 300VW. 2017-08-11 11:04:36 -04:00
Tadas Baltrusaitis
abcc91364e Towards MTCNN, implementing PNet 2017-08-10 15:30:35 -04:00
Tadas Baltrusaitis
13e42a70cf Some more work on MTCNN. 2017-08-09 16:16:31 -04:00
Tadas Baltrusaitis
7fe7bb4904 Towards MTCNN c++ implementation. 2017-08-09 15:04:14 -04:00
Tadas Baltrusaitis
dfdf58d667 Sparse response maps with 300W data 2017-08-09 13:10:28 -04:00
Tadas Baltrusaitis
f031253ac4 IJB-FL experiments with sparse responses. 2017-08-09 12:38:24 -04:00
Tadas Baltrusaitis
1adbf2f56f Sparse response map computation speedup for CEN. 2017-08-09 12:11:02 -04:00
Tadas Baltrusaitis
8dea625717 Adding more preparation for MTCNN in C++ 2017-08-09 12:01:53 -04:00
Tadas Baltrusaitis
8b5f8b9a36 Starting to work on MTCNN C++ implementation. 2017-08-09 11:00:38 -04:00
Tadas Baltrusaitis
54d06e1a4c Adding a bit more explanation about face detection and better integration with MatConvNet. 2017-08-08 11:04:27 -04:00
Tadas Baltrusaitis
f18e4264b8 Incorporating the new face detector in some of the matlab scripts, give a warning if MatConvNet not present 2017-08-08 10:53:20 -04:00
Tadas Baltrusaitis
f2c0b5b885 Adding bounding box correction and speeding up the model 2017-08-08 10:20:10 -04:00
Tadas Baltrusaitis
3d5149e8c2 Some speeding up, a small bug fix with NMS 2017-08-07 16:18:15 -04:00
Tadas Baltrusaitis
66ba18fad0 Adding the model files. 2017-08-07 14:54:12 -04:00
Tadas Baltrusaitis
6a613dffb6 Initial Matlab version of MTCNN. 2017-08-07 14:49:29 -04:00
Tadas Baltrusaitis
f19fab7ff7 Bringing CE-CLM up to speed with master. 2017-08-03 11:14:49 -04:00
Tadas Baltrusaitis
cdd258330f Merge branch 'feature/new_validator' into develop 2017-08-02 13:40:56 -04:00
Tadas Baltrusaitis
9a92d4d9c8 Removing legacy CLM-Z models. 2017-08-02 13:39:31 -04:00
Tadas Baltrusaitis
5959176921 Some big changes: 
- face validator is a retrained CNN now
- starting retiring CLM-Z from OpenFace
 2017-08-01 17:11:02 -04:00
Tadas Baltrusaitis
8eb086545c Simplified validator model. 2017-07-31 15:55:29 -04:00