GitHub - redsphinx/socialperceptron: A project about predicting social traits by training deep neural networks on our modified version of the Chalearn FirstImpressions datasaet.

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A project about predicting social traits by training deep neural networks on our modified version of the Chalearn FirstImpressions datasaet.

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Name		Name	Last commit message	Last commit date
Latest commit History 254 Commits
chalearn10		chalearn10
chalearn20		chalearn20
chalearn30		chalearn30
context_experiment		context_experiment
face_project		face_project
paper_plots		paper_plots
toy_comparison		toy_comparison
__init__.py		__init__.py
calculate_SNR.py		calculate_SNR.py
constants.py		constants.py
explanation_collapsed_14.py		explanation_collapsed_14.py
ml_on_luminance.py		ml_on_luminance.py
ml_on_others.py		ml_on_others.py
model.py		model.py
model_15.py		model_15.py
model_16.py		model_16.py
model_2.py		model_2.py
model_3.py		model_3.py
model_50.py		model_50.py
model_53.py		model_53.py
model_57.py		model_57.py
model_59.py		model_59.py
model_6.py		model_6.py
model_64.py		model_64.py
model_7.py		model_7.py
model_9.py		model_9.py
model_resnet18.py		model_resnet18.py
only_test_all_frames_uni_bi.py		only_test_all_frames_uni_bi.py
only_test_all_full_frames.py		only_test_all_full_frames.py
paper_plots.py		paper_plots.py
paths.py		paths.py
predictions_to_loss.py		predictions_to_loss.py
savitzky_golay_filter.py		savitzky_golay_filter.py
significance_testing.py		significance_testing.py
significance_testing_better.py		significance_testing_better.py
train_resnet18_bimodal.py		train_resnet18_bimodal.py
train_resnet18_unimodel.py		train_resnet18_unimodel.py
training.py		training.py
training_collapsed_traits.py		training_collapsed_traits.py
training_context.py		training_context.py
training_context_resized.py		training_context_resized.py
training_context_twostream.py		training_context_twostream.py
training_freeze_twostream.py		training_freeze_twostream.py
training_luminance.py		training_luminance.py
training_sanity_check_dataset.py		training_sanity_check_dataset.py
training_single_trait_all.py		training_single_trait_all.py
training_single_trait_f_bg.py		training_single_trait_f_bg.py
tst_context_allframes.py		tst_context_allframes.py
tst_mean.py		tst_mean.py
tst_random_baseline.py		tst_random_baseline.py
util.py		util.py
validation_test_only_bimodal.py		validation_test_only_bimodal.py
validation_test_only_resnet_bimodal.py		validation_test_only_resnet_bimodal.py
validation_test_only_resnet_unimodal.py		validation_test_only_resnet_unimodal.py
validation_test_only_unimodal.py		validation_test_only_unimodal.py