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Author SHA1 Message Date
Davis King
15b2d7b5d8 Added get_learning_rate_multiplier() and get_weight_decay_multiplier() global 
functions.
 2016-05-21 23:16:49 -04:00
Davis King
58496f9f8a Added Johannes Huber's natvis file for visual studio. 2016-05-20 08:29:39 -04:00
Davis King
0cd76f899b Added an error message if a camera isn't available. 2016-05-18 22:22:56 -04:00
Davis King
617ffba652 Made LIB_INSTALL_DIR only appear when building dlib as an installable library, not when using dlib in another cmake project. 2016-05-15 19:56:55 -04:00
Davis King
b0cf7dc0f9 Now when you print a network to cout it will include the output tensor sizes 
for each layer if you have passed a tensor through the next.
 2016-05-15 16:28:44 -04:00
Davis King
2092e3030b Renamed compute_loss() to compute_loss_value_and_gradient() in the loss 
interface.
 2016-05-15 15:07:04 -04:00
Davis King
ee2a0070db Added comment to show how to deserialize a network. 2016-05-15 14:52:33 -04:00
Davis King
ba0f7c5c53 Added a function to dnn_trainer that lets you query the "steps without 
progress" estimate.  I also renamed the get/set functions for the shrink amount
to have a consistent name and use the word "factor" instead of "amount".
 2016-05-15 14:48:06 -04:00
Davis King
b974a57513 Added set_learning_rate_schedule() to dnn_trainer. 2016-05-15 14:36:02 -04:00
Davis King
13cc545da3 clarified comments. 2016-05-15 14:31:06 -04:00
Davis King
93bbe5ff15 merged 2016-05-14 20:31:50 -04:00
Davis King
66166c674d Changed the solver interface to take the learning rate and the layer details 
object as an input.  This allows the solvers to exhibit a more complex behavior
that depends on the specific layer.  It also removes the learning rate from the
solver's parameter set and pushes it entirely into the core training code.
This also removes the need for the separate "step size" which previously was
multiplied with the output of the solvers.

Most of the code is still the same, and in the core and trainer the step_size
variables have just been renamed to learning_rate.  The dnn_trainer's relevant
member functions have also been renamed.

The examples have been updated to reflect these API changes.  I also cleaned up
the resnet definition and added better downsampling.
 2016-05-14 20:30:45 -04:00
Davis King
9763c471ac merged 2016-05-13 23:08:47 -04:00
Davis King
8421f213ad Fixed the in-place layers so that they don't interfere with the operation of 
skip layers and add_prev style layers.  In particular, now in-place layers only
overwrite the gradient information in their child layer if they are operating
in in-place mode.  Otherwise, they add their gradients to their child layers.

It should also be noted that it's safe for in-place layers to overwrite
gradients when in in-place mode since their child layers are inaccessible when
in-place layers operate in in-place mode.  This prevents any other layers from
trying to add to the child layer, thereby avoiding the potability of layer
interference.  So the bug this change fixes is that, when not in in-place mode
the child layers are still accessible but in-place layers were *still*
overwriting child gradients.
 2016-05-13 23:08:03 -04:00
Davis King
ead735d0b0 Made printing to cout or cerr check for matlab ctrl+c and throw an exception 
if so.  This way, if you have a long running mex file it will be killable if
it is periodically printing.
 2016-05-13 09:01:24 -04:00
Davis King
81eb18a40f Added intel architecture detection so SSE/AVX isn't enabled when it shouldn't be. 2016-05-13 08:50:25 -04:00
Davis King
3124ec4b81 Made dropout layer initialize its random number generator from std::rand() rather than always 
using the same seed.
 2016-05-13 08:35:22 -04:00
Davis King
da28fe3b3e Fixed a compiler error on some systems. 2016-05-13 06:40:15 -04:00
Davis King
c79d412c32 slightly relaxed tests to avoid false failure 2016-05-13 06:32:18 -04:00
Davis King
022dce43c2 I accidentally turned the max pooling layers into average pooling a few days 
ago.  This fixes that and turns them back into max pooling layers.
 2016-05-12 19:40:24 -04:00
Davis King
6f970e1854 Fixed network constructors so you can give an input layer for initialization 
without getting a compiler error.
 2016-05-12 19:22:53 -04:00
Davis E. King
0846daabdc Merge pull request #108 from SoapGentoo/master 
Augment build-system, allow for multilib installation, support pkg-config discovery
 2016-05-10 06:37:44 -04:00
David Seifert
f3eae43897
* Add pkg-config file, allowing for build-system agnostic dependencies 
* Define LIB_INSTALL_DIR cache variable, allowing for multilib installations
* Discover BLAS and LAPACK via pkg-config if possible
* Fix incorrect toolchain variables in "dlib/test/makefile"
 2016-05-10 09:18:27 +02:00
Davis King
cad73fae9d Fixed compiler warnings 2016-05-09 21:46:04 -04:00
Davis King
1e70c721a4 Made example use the "everything" version of avg pooling. 2016-05-07 14:30:42 -04:00
Davis King
f669552186 Added max_pool_everything and avg_pool_everything. 2016-05-07 14:30:18 -04:00
Davis King
6d2495a20a Changed extract_fhog_features() back to returning matrix<double> since that's 
what it's contract says needs to happen (and what existing code expects).
 2016-05-07 07:53:27 -04:00
Davis King
51065b9808 Made test error reporting more reliable 2016-05-05 06:58:52 -04:00
Davis King
4a7633056c Fixed avg pooling filter sizes to avoid errors with the new rules about 
non-one based strides.
 2016-05-04 21:40:29 -04:00
Davis King
e4d70f8d3d Improved error messages 2016-05-04 21:39:31 -04:00
Davis King
4ef5908b0a Pushed the padding parameters into the con_, max_pool_, and avg_pool_ 
interfaces.  Also changed the default behavior when the stride isn't 1.  Now
the filters will be applied only to the "valid" part of the image.
 2016-05-04 21:32:59 -04:00
Davis King
6bab1f50ad Added missing ; to DLIB_TEST and DLIB_TEST_MSG macros now that they are required. 2016-05-04 21:27:10 -04:00
Davis King
a17e7f6b3e fixed typo in comment 2016-05-04 21:13:28 -04:00
Davis King
73d7835590 Added a padding parameter to the pooling and convolution classes. Still need 
to expose it in the final layer interface.
 2016-05-03 22:55:46 -04:00
Davis King
08c8778479 Made test less likely to false alarm. 2016-05-03 21:44:39 -04:00
Davis King
6e9b9d035d Improved macros 2016-05-03 20:36:09 -04:00
Davis King
707a6b4c88 fixed typo in spec 2016-05-02 18:53:00 -04:00
Davis King
4649193f9c Made dlib work with libgif v5 2016-05-01 06:56:34 -04:00
Davis King
9260243c21 Fixed bugs in multi-gpu training code. 2016-04-30 12:53:53 -04:00
Davis King
26d2d889df Added comments 2016-04-30 12:28:00 -04:00
Davis King
d161d0bada Added a num_device_groups() member function. 2016-04-30 11:09:50 -04:00
Davis King
909ca040fe Made launch_kernel() not generate CUDA errors if you ask it to launch a kernel of size 0. 2016-04-30 10:42:16 -04:00
Davis King
f5abfca18c Added missing #include. 2016-04-29 09:53:05 -04:00
Davis King
4ee88457ca Fixed namespace lookup problem due to a name clash. 2016-04-29 09:40:19 -04:00
Davis King
893824a18c Fixed compiler warnings 2016-04-29 08:04:54 -04:00
Davis King
aba68d6f0c merged 2016-04-29 06:56:25 -04:00
Davis King
428b0bb856 Made multi-gpu mode use GPUDirect rather than copying through the CPU. 2016-04-29 06:55:53 -04:00
Davis King
0d6e3f12d6 Made the multi_device_tensor_averager not assume the size of the tensors is 
known at set() time.
 2016-04-29 06:55:04 -04:00
Davis King
b85688acec clarified spec 2016-04-29 06:54:30 -04:00
Davis King
1f0705ae92 clarified example 2016-04-28 19:41:27 -04:00