https://github.com/vlfeat/matconvnet

sort by:
Revision Author Date Message Commit Date
4e55a44 beta3 -> beta4 31 August 2014, 18:37:28 UTC
c875b7a Xcode: sync 31 August 2014, 18:37:17 UTC
e046392 doc: improvements to homepage 31 August 2014, 18:35:03 UTC
58dcb30 vl_simplenn: document custom layer 31 August 2014, 18:34:50 UTC
1745b73 doc: tweak citations 27 August 2014, 23:31:52 UTC
dbb2324 Xcode: sync 25 August 2014, 11:05:31 UTC
b0ce638 vl_imreadjpeg.c: small fixes 25 August 2014, 11:05:31 UTC
2aabb9f vl_simplenn.m: adds a hook for custom layers 25 August 2014, 09:33:06 UTC
fde0686 Xcode: sync 25 August 2014, 09:32:41 UTC
7c821c8 vl_argparse: parse structures recursively 18 August 2014, 07:44:18 UTC
8d8d57b imagenet: tunes example 17 August 2014, 19:13:48 UTC
8e50cff preprocess-imagenet.sh: fixes image dimensions and format 17 August 2014, 19:13:22 UTC
58945e8 vl_imreadjpeg.c: stop crashing on a corrputed JPEG file 17 August 2014, 18:34:29 UTC
c0f04c5 imagenet: improves handling of ImageNet package 17 August 2014, 11:09:48 UTC
977ef71 Makefile: fixes compilation of vl_imreadjpeg 16 August 2014, 11:29:10 UTC
f4e3850 vl_nnconv.m: improved doc 14 August 2014, 15:49:51 UTC
2e7a1f9 doc: improvements 14 August 2014, 15:34:12 UTC
67609ef Merge branch 'master' of ssh://bitbucket.org/vedaldi/matconvnet 13 August 2014, 13:54:13 UTC
a9ea4b8 tweaks cifar and mnist experiments 13 August 2014, 13:54:38 UTC
482ff09 cnn_imagenet_minimal.m: update to a simpler example 13 August 2014, 11:24:36 UTC
d1654e1 README.md: small fix 13 August 2014, 11:17:58 UTC
13d3ac3 removes obsolete tests 13 August 2014, 11:13:35 UTC
87cc27e refactors package 13 August 2014, 11:13:35 UTC
0c0c265 beta3 adds preprocess-imagenet.sh 13 August 2014, 11:13:35 UTC
fc1057f Makefile: fix 12 August 2014, 23:22:05 UTC
9d8e336 doc: improvements 12 August 2014, 23:07:01 UTC
ffc495e Merge branch 'master' of ssh://bitbucket.org/vedaldi/matconvnet 12 August 2014, 22:50:14 UTC
b42935c updates ImageNet CNN training settings 12 August 2014, 22:50:39 UTC
ae0695e vl_nnconv.cu: fix special case 12 August 2014, 22:20:09 UTC
40eda00 imported module: remove dropout layers by default 12 August 2014, 22:03:57 UTC
7892849 Makefile: bugfix 12 August 2014, 19:27:52 UTC
3fbd0a6 cleanup 12 August 2014, 19:17:18 UTC
6f34b33 more cleanup 12 August 2014, 18:56:57 UTC
7ecb732 cleanup 12 August 2014, 18:53:01 UTC
5d203f6 more cleanup: increase consistency of code 06 August 2014, 08:02:46 UTC
7bae918 cleanup 05 August 2014, 21:39:30 UTC
b6477a3 Merge remote-tracking branch 'origin/master' Conflicts: exp/cnn_imagenet_evaluate.m helpers/import-ref-models.sh 05 August 2014, 21:11:06 UTC
2c6e0c8 missing updates 05 August 2014, 21:07:00 UTC
ce062e4 reversed `fix’: fetch != prefetch and indicates that images are already loaded into memory and passed in as input argument this is essential to use cnn_imagenet_get_batch with images as input (instead of filenames) 05 August 2014, 16:43:31 UTC
17669ad Merge commit '6cae800932da126cc5aefebf7ccf37bfdd5debbd' 05 August 2014, 16:41:20 UTC
9b8787f updates README 05 August 2014, 16:38:50 UTC
6cae800 Fixed code for different synsets of caffe_{m,s,m-x}. Needs VGG caffe's synset database in the same format as are the caffe's original synsets. Added some more detailed debug output. 05 August 2014, 15:29:51 UTC
105ca74 Fixed error which occured when prefetch not used. 31 July 2014, 14:30:39 UTC
c036599 FIX - BVLC updated the caffe reference model to new proto format. 31 July 2014, 14:29:14 UTC
3148836 Fixed the error for importing VGG-S network. 30 July 2014, 21:28:41 UTC
23adf70 small improvements to imported models, evaluation 30 July 2014, 13:09:02 UTC
b5648d9 import script: fixes image interpolation 30 July 2014, 10:15:41 UTC
e2c6906 updates import script 30 July 2014, 08:17:52 UTC
3730869 README.md: minor mod 30 July 2014, 08:12:06 UTC
7f89b19 Fixed error with image resizing. 29 July 2014, 10:54:55 UTC
87091fd import script: almost all bug squashed, still a problem with imresize 29 July 2014, 10:42:07 UTC
ca42241 various bugfixes 28 July 2014, 21:29:00 UTC
8b4418a import script almost works for caffe nets 28 July 2014, 18:16:43 UTC
84a936e more on import 28 July 2014, 08:24:30 UTC
9dfc84f .gitignore more 27 July 2014, 09:07:54 UTC
44567f0 import scripts: cleanup 27 July 2014, 09:06:27 UTC
50d9ca4 import scripts: more complete models 26 July 2014, 14:10:48 UTC
ec0a5c7 Creates empty parameter arrays when parameters blobs not provided. Needs adjustment of the command line arguments though, to allow not providing the parameters file. 26 July 2014, 11:59:44 UTC
91a5c15 Added support for more avg_img formats (caffe - prototxt, vgg-caffe - mat). 26 July 2014, 11:57:31 UTC
42c6170 Fixed the bug with prev_size computation. 26 July 2014, 11:35:54 UTC
f7d095c updates import script... there is a bug though 26 July 2014, 08:55:54 UTC
eaf06ff more on importer 25 July 2014, 22:13:33 UTC
a3fe38b Several bugfixes in python export script. Adjusted output data format, parameters conversion for the first fully connected layer (needs testing), additional padding for even-sized data pooling (assumes that only odd-sized pooling kernel makes sense) 25 July 2014, 20:29:57 UTC
c430189 Add option to generate more augmentations. 25 July 2014, 20:25:37 UTC
cf49542 Fixed imdb files extension, temporarily added mean data loading. 25 July 2014, 20:25:13 UTC
75d4f8b import-caffe.py: alpha version 24 July 2014, 19:48:33 UTC
34fe65e progress in caffe importer 24 July 2014, 10:57:11 UTC
c6a3b0b init importer 23 July 2014, 21:46:52 UTC
ffe82d9 adds cnn_imagenet_minimal Signed-off-by: Andrea Vedaldi <vedaldi@gmail.com> 23 July 2014, 10:11:07 UTC
da95f60 cleanup 23 July 2014, 09:41:40 UTC
8f755e0 imagenet training: new schedule 23 July 2014, 09:39:31 UTC
aa10db2 imagenet: adds dropout 21 July 2014, 16:51:16 UTC
71db6c3 adds faster image fetching 21 July 2014, 16:37:34 UTC
1e849b0 Makefile: sync 21 July 2014, 09:24:19 UTC
9b78570 Xcode: sync 21 July 2014, 09:23:53 UTC
561d10b mexutils.h: bugfix 20 July 2014, 22:47:03 UTC
608075f vl_imreadjpeg.c: optimizations 20 July 2014, 22:46:35 UTC
6c942d1 vl_imreadjpeg.c: improves multithreading logic 19 July 2014, 14:13:44 UTC
9ac52eb adds prefetching 19 July 2014, 11:58:58 UTC
8820aaf vl_imreadjpeg.c: first version 19 July 2014, 10:33:26 UTC
47b4e46 docs 17 July 2014, 18:27:48 UTC
054d8a1 Merge commit 'b332aeb2d64b450aa595161391ab46a3850f866f' 17 July 2014, 17:59:32 UTC
39e22ce doc: improvements 17 July 2014, 17:59:27 UTC
b332aeb bugfix 16 July 2014, 23:44:57 UTC
91f9b75 imagenet consolidate 16 July 2014, 23:43:06 UTC
f784354 improves imagenet 16 July 2014, 23:25:00 UTC
d34b75e first version of imagenet script (loading image is still the bottleneck) 15 July 2014, 13:29:53 UTC
76de17c starts imagenet script 15 July 2014, 10:06:47 UTC
41f0563 vl_test_nnlayers.m: fix gpu 15 July 2014, 08:09:08 UTC
b3cdb59 Xcode: update 15 July 2014, 08:08:46 UTC
6f24f51 vl_nnpool.cu: consolidate multiple function calls 15 July 2014, 08:05:24 UTC
5c10d01 pooling: style 15 July 2014, 08:00:59 UTC
6eb17e9 poolgin: bugfixes 15 July 2014, 07:53:28 UTC
fb55a99 README.md: more 14 July 2014, 18:09:28 UTC
e6d3a69 Merge remote-tracking branch 'origin/univpool' Conflicts: exp/cnn_cifar.m 14 July 2014, 18:03:27 UTC
d60855d cifar: bugfix 14 July 2014, 17:53:29 UTC
ebf3e31 more consolidation 14 July 2014, 17:46:16 UTC
d3dd6e9 starts consolidating learning code in one example 14 July 2014, 17:07:09 UTC
7317d6c Loop variables refactoring - higher consistency and readability. Now: x, y - loop over data (bottom) layer; - consistent with [x1,x2,y1,y2] px, py - loop over pooled (top) layer 11 July 2014, 16:07:36 UTC
604ca8f Implemented the BP for avg pooling. NOT TESTED. Also added the Caffe-like kernel which iterates over bottom values (no atomic operations needed), though it needs passing 'pooled' data to poolingBackward_gpu in order to identify the maxima location. 11 July 2014, 16:00:26 UTC
back to top