diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 91eb28d..9eda730 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -28,7 +28,7 @@ jobs: python-version: [3.8] steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: @@ -52,7 +52,7 @@ jobs: python-version: [3.8] steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: diff --git a/deepface/models/face-recognition-ensemble-model.txt b/deepface/models/face-recognition-ensemble-model.txt deleted file mode 100644 index 32ba1d1..0000000 --- a/deepface/models/face-recognition-ensemble-model.txt +++ /dev/null @@ -1,2157 +0,0 @@ -tree -version=v3 -num_class=2 -num_tree_per_iteration=2 -label_index=0 -max_feature_idx=10 -objective=multiclass num_class:2 -feature_names=VGG-Face_cosine VGG-Face_euclidean VGG-Face_euclidean_l2 Facenet_cosine Facenet_euclidean Facenet_euclidean_l2 OpenFace_cosine OpenFace_euclidean_l2 DeepFace_cosine DeepFace_euclidean DeepFace_euclidean_l2 -feature_infos=[0.089499999999999996:0.94920000000000004] [0.2296:0.9708] [0.42320000000000002:1.3777999999999999] [0.1009:1.3133999999999999] [5.4021999999999997:19.770800000000001] [0.44929999999999998:1.6207] [0.051700000000000003:1.0374000000000001] [0.3216:1.4403999999999999] [0.094:0.38479999999999998] [39.351999999999997:83.062700000000007] [0.4335:0.87719999999999998] -tree_sizes=429 428 745 745 744 744 746 746 742 742 743 743 742 742 745 745 746 746 747 747 741 741 745 745 748 748 747 747 740 740 749 749 745 745 745 745 746 746 746 746 746 746 748 748 746 746 746 746 748 748 744 744 747 747 742 742 746 746 744 744 747 747 746 746 749 749 749 749 753 753 749 749 751 751 757 757 752 752 756 756 756 756 749 749 753 753 757 757 755 755 755 755 757 757 755 755 757 757 756 756 759 759 762 762 760 760 762 762 759 759 762 762 - 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- -Tree=111 -num_leaves=6 -num_cat=0 -split_feature=3 8 3 6 1 -split_gain=0.191675 0.0314875 4.3935e-05 3.36813e-07 7.31947e-09 -threshold=0.43445000000000006 0.22770000000000004 0.87725000000000009 0.26980000000000004 0.43235000000000007 -decision_type=2 2 2 2 2 -left_child=3 -2 -3 4 -1 -right_child=1 2 -4 -5 -6 -leaf_value=0.050147950408349143 -0.0062166866357838465 -0.052306715309342944 -0.050103937683255433 0.050303349851510339 0.050111305960806811 -leaf_weight=0.11002645688131452 0.24370568105950952 0.27624474046751857 0.13469588803127408 0.22952446108683944 0.10802554129622877 -leaf_count=20 20 20 34 21 25 -internal_value=0 -0.346955 -0.515847 0.502188 0.501298 -internal_weight=0 0.654646 0.410941 0.447576 0.218052 -internal_count=140 74 54 66 45 -shrinkage=0.1 - - -end of trees - -feature importances: -OpenFace_cosine=136 -Facenet_cosine=126 -VGG-Face_cosine=70 -VGG-Face_euclidean=70 -DeepFace_euclidean=70 -DeepFace_cosine=56 -VGG-Face_euclidean_l2=20 -Facenet_euclidean=6 - -parameters: -[boosting: gbdt] -[objective: multiclass] -[metric: multi_logloss] -[tree_learner: serial] -[device_type: cpu] -[data: ] -[valid: ] -[num_iterations: 100] -[learning_rate: 0.1] -[num_leaves: 31] -[num_threads: 0] -[max_depth: -1] -[min_data_in_leaf: 20] -[min_sum_hessian_in_leaf: 0.001] -[bagging_fraction: 1] -[pos_bagging_fraction: 1] -[neg_bagging_fraction: 1] -[bagging_freq: 0] -[bagging_seed: 3] -[feature_fraction: 1] -[feature_fraction_bynode: 1] -[feature_fraction_seed: 2] -[early_stopping_round: 0] -[first_metric_only: 0] -[max_delta_step: 0] -[lambda_l1: 0] -[lambda_l2: 0] -[min_gain_to_split: 0] -[drop_rate: 0.1] -[max_drop: 50] -[skip_drop: 0.5] -[xgboost_dart_mode: 0] -[uniform_drop: 0] -[drop_seed: 4] -[top_rate: 0.2] -[other_rate: 0.1] -[min_data_per_group: 100] -[max_cat_threshold: 32] -[cat_l2: 10] -[cat_smooth: 10] -[max_cat_to_onehot: 4] -[top_k: 20] -[monotone_constraints: ] -[feature_contri: ] -[forcedsplits_filename: ] -[forcedbins_filename: ] -[refit_decay_rate: 0.9] -[cegb_tradeoff: 1] -[cegb_penalty_split: 0] -[cegb_penalty_feature_lazy: ] -[cegb_penalty_feature_coupled: ] -[verbosity: 1] -[max_bin: 255] -[max_bin_by_feature: ] -[min_data_in_bin: 3] -[bin_construct_sample_cnt: 200000] -[histogram_pool_size: -1] -[data_random_seed: 1] -[output_model: LightGBM_model.txt] -[snapshot_freq: -1] -[input_model: ] -[output_result: LightGBM_predict_result.txt] -[initscore_filename: ] -[valid_data_initscores: ] -[pre_partition: 0] -[enable_bundle: 1] -[max_conflict_rate: 0] -[is_enable_sparse: 1] -[sparse_threshold: 0.8] -[use_missing: 1] -[zero_as_missing: 0] -[two_round: 0] -[save_binary: 0] -[header: 0] -[label_column: ] -[weight_column: ] -[group_column: ] -[ignore_column: ] -[categorical_feature: ] -[predict_raw_score: 0] -[predict_leaf_index: 0] -[predict_contrib: 0] -[num_iteration_predict: -1] -[pred_early_stop: 0] -[pred_early_stop_freq: 10] -[pred_early_stop_margin: 10] -[convert_model_language: ] -[convert_model: gbdt_prediction.cpp] -[num_class: 2] -[is_unbalance: 0] -[scale_pos_weight: 1] -[sigmoid: 1] -[boost_from_average: 1] -[reg_sqrt: 0] -[alpha: 0.9] -[fair_c: 1] -[poisson_max_delta_step: 0.7] -[tweedie_variance_power: 1.5] -[max_position: 20] -[lambdamart_norm: 1] -[label_gain: ] -[metric_freq: 1] -[is_provide_training_metric: 0] -[eval_at: ] -[multi_error_top_k: 1] -[num_machines: 1] -[local_listen_port: 12400] -[time_out: 120] -[machine_list_filename: ] -[machines: ] -[gpu_platform_id: -1] -[gpu_device_id: -1] -[gpu_use_dp: 0] - -end of parameters - -pandas_categorical:null