aa6ee28120
Training: Loss: log-scale y axis.
2015-10-03 17:24:17 -04:00
1d58e82993
LFW: Show AUC.
2015-10-03 17:16:44 -04:00
718ed8caa1
Add OpenBR v1.1.0 data.
2015-10-03 17:16:02 -04:00
5aaea9cb58
Remove NaN values from eigenfaces data.
2015-10-03 17:15:46 -04:00
53ab6943d4
README: typo.
2015-09-29 18:43:53 -04:00
a4afe1c515
Refactor: examples->demos.
2015-09-29 18:33:43 -04:00
312beca814
Refactor: examples->demos.
2015-09-29 18:32:59 -04:00
4067ba6d2a
Tweak README.
2015-09-29 18:28:37 -04:00
1b09261303
README: Add note. Draft of manual build instructions.
2015-09-29 18:27:36 -04:00
513b498449
Add file comparison example.
2015-09-29 18:07:12 -04:00
875ac72039
Lua Server: Use model in evaluation mode.
2015-09-29 18:03:53 -04:00
429452c806
Python: naive_dlib: Take full paths on input.
2015-09-29 18:03:27 -04:00
06a3afa5d6
Python library: Kill Lua subprocess on exit.
2015-09-29 18:03:00 -04:00
158ff1bcce
LFW: Use 4 decimals. Rename our model.
2015-09-29 18:02:36 -04:00
8728bae648
Batch Represent: Remove unnecessary CUDA dependency.
2015-09-29 18:02:01 -04:00
5bffd697cc
LFW experiment: Show avg and stdev of accuracies.
2015-09-26 04:41:48 -04:00
d85ee28f93
Fully implement the LFW experiment.
...
+ Use ROC curve on 10 folds of test data and average them.
+ Add more ROC curves to the plot for comparison.
+ Compute accuracy from best threshold on the training data.
2015-09-26 04:34:58 -04:00
02c22ecd64
TorchWrap/Server: Add comments linking to issues.
2015-09-25 14:57:17 -04:00
d4830e84fc
TorchWrap: Load model relative to file location. Remove unused parameter.
2015-09-25 14:12:38 -04:00
2f25d3d6e3
Web Demo: Use grid to train SVM. Disable training mode by default.
2015-09-24 18:05:19 -04:00
7d9af6cab1
Pass on README.
2015-09-24 17:36:30 -04:00
2fc6b0e3de
gitignore: Web example files.
2015-09-24 17:36:30 -04:00
81dbe0e595
Initial commit of web demo.
2015-09-24 17:36:30 -04:00
458c1aea2a
TorchWrap: Add note.
2015-09-24 17:36:29 -04:00
e808170324
Python: Return the vector rather than printing it.
2015-09-24 17:36:29 -04:00
122b06bd96
Add LICENSE headers.
2015-09-24 17:36:29 -04:00
78058f5cef
Initial commit of hacky Python->Lua interfacing.
2015-09-24 17:36:29 -04:00
df40fa2af0
Initial commit of Python alignment portions.
2015-09-24 17:36:29 -04:00
4973245a26
Models: Add license heading.
2015-09-24 17:36:29 -04:00
23286eb889
Update summary image.
2015-09-24 15:10:14 -04:00
4eb080dce2
Initial commit of stubbed README.
2015-09-24 14:47:17 -04:00
caa2caa6be
gitignore: Large model files.
2015-09-24 14:32:38 -04:00
72a8390b66
Add FaceNet model definitions.
2015-09-24 14:32:28 -04:00
f7853db09b
Add small dlib mean and std models.
2015-09-24 14:32:14 -04:00
ba27930a05
Add dlib landmark mean image.
2015-09-24 14:31:56 -04:00
71b2c63770
Add get-models script.
2015-09-24 14:31:46 -04:00
ce72875f54
lfw roc: Make sure every representation exists.
2015-09-24 14:21:47 -04:00
63104030dd
Evaluation: lfw-roc: Add license heading.
2015-09-24 10:44:43 -04:00
3217e6466c
gitignore: Representation directories.
2015-09-24 10:18:58 -04:00
bb96f0ac6e
Evaluation: LFW: Add ROC generation script.
2015-09-24 10:18:34 -04:00
ee3d11be37
Evaluation: Initial commit of openbr.DET.
2015-09-24 10:06:47 -04:00
3d85b86f71
gitignore: Plots and data.
2015-09-23 19:52:37 -04:00
f0196220ff
Initial commit of loss plotting code from development repo.
2015-09-23 19:51:47 -04:00
d8790408d1
Initial commit of training code from development repo.
2015-09-23 19:49:45 -04:00
2611ce29bb
Add LICENSE.
2015-09-23 19:28:51 -04:00
84264c192a
gitignore: work dirs.
2015-09-23 19:18:06 -04:00
c3b6373e96
batch-represent: Correctly size images.
2015-09-23 18:46:38 -04:00
fb9164e6fb
Add batch representation code.
2015-09-23 18:19:33 -04:00
f651de636b
Add summary image.
2015-09-23 18:14:10 -04:00
bead828442
Add torch-TripletEmbedding submodule.
2015-09-18 16:57:25 -04:00
Brandon Amos