GitHub - dmbk/Anomaly-Detection-System: This is a deep learning based anomaly detection system that can detect anomalies in crowded scenarios

#README

Name		Name	Last commit message	Last commit date
Latest commit History 432 Commits
Config.py		Config.py
ConvLSTM_ADAE.ipynb		ConvLSTM_ADAE.ipynb
ConvLSTM_ADAE_multi_scale.ipynb		ConvLSTM_ADAE_multi_scale.ipynb
ConvLSTM_ADAE_sigmoid.ipynb		ConvLSTM_ADAE_sigmoid.ipynb
ConvLSTM_ADAE_tanh.ipynb		ConvLSTM_ADAE_tanh.ipynb
ConvLSTM_GAN.ipynb		ConvLSTM_GAN.ipynb
ConvLSTM_VanillaGAN.ipynb		ConvLSTM_VanillaGAN.ipynb
ConvLSTM_WGAN.ipynb		ConvLSTM_WGAN.ipynb
ConvLSTM_WGAN_GP.ipynb		ConvLSTM_WGAN_GP.ipynb
ConvLSTM_WGAN_multi_scale.ipynb		ConvLSTM_WGAN_multi_scale.ipynb
Create_Avenue_IMG_DT.ipynb		Create_Avenue_IMG_DT.ipynb
DOC		DOC
DataPreProc.py		DataPreProc.py
FINAL_MODEL_AAE.ipynb		FINAL_MODEL_AAE.ipynb
FINAL_MODEL_AAE_Avenue.ipynb		FINAL_MODEL_AAE_Avenue.ipynb
FINAL_MODEL_AAE_Avenue_Enhanced.ipynb		FINAL_MODEL_AAE_Avenue_Enhanced.ipynb
FINAL_MODEL_AAE_simplified.ipynb		FINAL_MODEL_AAE_simplified.ipynb
FINAL_MODEL_AAE_simplified_PED1.ipynb		FINAL_MODEL_AAE_simplified_PED1.ipynb
FINAL_MODEL_AAE_simplified_PED1_Poisson.ipynb		FINAL_MODEL_AAE_simplified_PED1_Poisson.ipynb
FINAL_MODEL_AAE_simplified_PED1_STD_NORMAL.ipynb		FINAL_MODEL_AAE_simplified_PED1_STD_NORMAL.ipynb
FINAL_MODEL_AAE_simplified_PED2.ipynb		FINAL_MODEL_AAE_simplified_PED2.ipynb
FINAL_MODEL_AAE_simplified_PED2_STD_NORMAL.ipynb		FINAL_MODEL_AAE_simplified_PED2_STD_NORMAL.ipynb
Hybrid_Model.ipynb		Hybrid_Model.ipynb
Hybrid_Model_v1.ipynb		Hybrid_Model_v1.ipynb
Model.py		Model.py
OUTPUT_SAVE_PED1_PED2_all_gt.ipynb		OUTPUT_SAVE_PED1_PED2_all_gt.ipynb
OUTPUT_SAVE_PED1_ZERO_BG_SUB.ipynb		OUTPUT_SAVE_PED1_ZERO_BG_SUB.ipynb
OUTPUT_SAVE_PED1_all_gt.ipynb		OUTPUT_SAVE_PED1_all_gt.ipynb
OUTPUT_SAVE_PED1_bg_sub.ipynb		OUTPUT_SAVE_PED1_bg_sub.ipynb
OUTPUT_SAVE_PED1_no_bg_sub_no_edge.ipynb		OUTPUT_SAVE_PED1_no_bg_sub_no_edge.ipynb
OUTPUT_SAVE_PED1_no_bgsub_no_edge.ipynb		OUTPUT_SAVE_PED1_no_bgsub_no_edge.ipynb
OUTPUT_SAVE_PED1_no_bgsub_no_edge_all_roc.ipynb		OUTPUT_SAVE_PED1_no_bgsub_no_edge_all_roc.ipynb
OUTPUT_SAVE_PED2_bg_partial.ipynb		OUTPUT_SAVE_PED2_bg_partial.ipynb
OUTPUT_SAVE_PED2_edge.ipynb		OUTPUT_SAVE_PED2_edge.ipynb
OUTPUT_SAVE_PED2_no_bg_sub.ipynb		OUTPUT_SAVE_PED2_no_bg_sub.ipynb
OUTPUT_SAVE_ROC.ipynb		OUTPUT_SAVE_ROC.ipynb
OUTPUT_SAVE_TEST_AAE_ROC_test_PED1_gt_corrected.ipynb		OUTPUT_SAVE_TEST_AAE_ROC_test_PED1_gt_corrected.ipynb
OUTPUT_SAVE_ZERO_BG_SUB.ipynb		OUTPUT_SAVE_ZERO_BG_SUB.ipynb
README.md		README.md
TEST_AAE.ipynb		TEST_AAE.ipynb
TEST_AAE_PED1_bg.ipynb		TEST_AAE_PED1_bg.ipynb
TEST_AAE_PED2_bg.ipynb		TEST_AAE_PED2_bg.ipynb
TEST_AAE_PED2_no_bg_mask.ipynb		TEST_AAE_PED2_no_bg_mask.ipynb
TEST_AAE_ROC_test.ipynb		TEST_AAE_ROC_test.ipynb
TEST_AAE_ROC_test_Avenue.ipynb		TEST_AAE_ROC_test_Avenue.ipynb
TEST_AAE_ROC_test_PED1_PED2.ipynb		TEST_AAE_ROC_test_PED1_PED2.ipynb
TEST_AAE_ROC_test_PED1_gt_corrected.ipynb		TEST_AAE_ROC_test_PED1_gt_corrected.ipynb
TEST_AAE_ROC_test_edge_bg_masked.ipynb		TEST_AAE_ROC_test_edge_bg_masked.ipynb
TEST_AAE_ROC_test_length_adjusted.ipynb		TEST_AAE_ROC_test_length_adjusted.ipynb
TEST_AAE_bg_sub_results.ipynb		TEST_AAE_bg_sub_results.ipynb
Test_AAE.ipynb		Test_AAE.ipynb
VidasaExtended_Conv2DLSTM.ipynb		VidasaExtended_Conv2DLSTM.ipynb
VidasaExtended_Conv2DLSTM_v2.ipynb		VidasaExtended_Conv2DLSTM_v2.ipynb
VidasaExtended_Conv3DLSTM.ipynb		VidasaExtended_Conv3DLSTM.ipynb
VidasaExtended_Conv3DLSTM_v1.ipynb		VidasaExtended_Conv3DLSTM_v1.ipynb
VidasaExtended_Conv3DLSTM_v2.ipynb		VidasaExtended_Conv3DLSTM_v2.ipynb
WGAN_GP_IMAGE_DATA_UCSD.ipynb		WGAN_GP_IMAGE_DATA_UCSD.ipynb
WGAN_as_Discriminator.ipynb		WGAN_as_Discriminator.ipynb
anomaly_detection_VAE.ipynb		anomaly_detection_VAE.ipynb
anomaly_detection_gist.ipynb		anomaly_detection_gist.ipynb
anomaly_detection_gist_PED2.ipynb		anomaly_detection_gist_PED2.ipynb
colab_system_specs.ipynb		colab_system_specs.ipynb
cp.ckpt		cp.ckpt
model.hdf5		model.hdf5
test.py		test.py

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