├── .github ├── FUNDING.yml ├── ISSUE_TEMPLATE │ ├── bug_report.md │ └── feature_request.md └── workflows │ ├── codeql-analysis.yml │ ├── pythonpackage.yml │ └── pythonpublish.yml ├── .gitignore ├── .releaserc ├── CHANGELOG.md ├── Demo.ipynb ├── FallDetect-TFLiteModelmaker.ipynb ├── FallDetect-inference.ipynb ├── Images ├── background.jpg ├── fall_img_0.png ├── fall_img_1.png ├── fall_img_18.png ├── fall_img_19.png ├── fall_img_2.png ├── fall_img_20.png ├── fall_img_21.jpg ├── fall_img_22.jpg ├── fall_img_23.jpg ├── fall_img_24.jpg ├── fall_img_26.jpg ├── fall_img_27.jpg ├── fall_img_28.jpg ├── fall_img_29.jpg ├── fall_img_3.png ├── fall_img_30.jpg ├── fall_img_31.jpg ├── fall_img_32.jpg ├── fall_img_33.jpg ├── fall_img_34.jpg ├── fall_img_35.jpg ├── fall_img_36.jpg ├── fall_img_37.jpg ├── fall_img_38.jpg ├── fall_img_39.jpg ├── fall_img_4.png ├── fall_img_40.jpg ├── fall_img_41.jpg ├── fall_img_42.jpg ├── fall_img_43.jpg ├── fall_img_44.jpg ├── fall_img_45.jpg ├── fall_img_46.png ├── fall_img_47.png ├── fall_img_48.png ├── fall_img_5.png ├── fall_img_6.png ├── fall_img_7.png ├── fall_img_8.png └── fall_img_9.png ├── LICENSE ├── MoveNet_Vs_PoseNet.ipynb ├── README.md ├── ai_models ├── lite-model_movenet_singlepose_thunder_3.tflite ├── pose_labels.txt ├── posenet_mobilenet_v1_075_721_1281_quant_decoder_edgetpu.tflite ├── posenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite └── tflite-model-maker-falldetect-model.tflite ├── build └── prepare-semantic-release.sh ├── demo-fall-detection-cmd.py ├── demo-fall-detection.py ├── fall_dataset ├── fall │ ├── 1.jpg │ ├── 10.jpg │ ├── 100.jpg │ ├── 13.jpg │ ├── 14.jpg │ ├── 15.jpg │ ├── 16.jpg │ ├── 160323-seniorfallen-stock.jpg │ ├── 17.jpg │ ├── 20.jpg │ ├── 2018-07-04T12_04_21.496555.png │ ├── 2018-07-04T12_04_21.671522.png │ ├── 2018-07-04T12_04_21.769786.png │ ├── 2018-07-04T12_04_21.805886.png │ ├── 2018-07-04T12_04_21.852010.png │ ├── 2018-07-04T12_04_21.899139.png │ ├── 2018-07-04T12_04_21.992390.png │ ├── 2018-07-04T12_05_21.274865.png │ ├── 2018-07-04T12_05_21.381650.png │ ├── 2018-07-04T12_05_21.526538.png │ ├── 2018-07-04T12_05_21.574164.png │ ├── 2018-07-04T12_06_22.885278.png │ ├── 2018-07-04T12_06_22.947444.png │ ├── 2018-07-04T12_06_23.099851.png │ ├── 2018-07-04T12_06_23.202125.png │ ├── 2018-07-04T12_06_23.822832.png │ ├── 2018-07-04T12_06_24.055999.png │ ├── 2018-07-04T12_07_23.297661.png │ ├── 2018-07-04T12_07_23.435529.png │ ├── 2018-07-04T12_07_23.486666.png │ ├── 2018-07-04T12_07_23.537803.png │ ├── 2018-07-04T12_07_23.537803_1.png │ ├── 2018-07-04T12_07_23.604982.png │ ├── 2018-07-04T12_07_24.619198.png │ ├── 2018-07-04T12_08_22.746980.png │ ├── 2018-07-04T12_08_23.015197.png │ ├── 21.jpg │ ├── 22.jpg │ ├── 23.jpg │ ├── 24.jpg │ ├── 27.jpg │ ├── 28.jpg │ ├── 29.jpg │ ├── 3.jpg │ ├── 30.jpg │ ├── 31.jpg │ ├── 32.jpg │ ├── 33.jpg │ ├── 34.jpg │ ├── 35.jpg │ ├── 36.jpg │ ├── 37.jpg │ ├── 39.jpg │ ├── 4.jpg │ ├── 41.jpg │ ├── 44.jpg │ ├── 45.jpg │ ├── 46.jpg │ ├── 47.jpg │ ├── 48.jpg │ ├── 49.jpg │ ├── 5.jpg │ ├── 50.jpg │ ├── 51.jpg │ ├── 52.jpg │ ├── 53.jpg │ ├── 55.jpg │ ├── 58.jpg │ ├── 59.jpg │ ├── 5c89433b113a5018ae39fcd1.jpeg │ ├── 6.jpg │ ├── 60.jpg │ ├── 61.jpg │ ├── 62.jpg │ ├── 63.jpg │ ├── 64.jpg │ ├── 65.jpg │ ├── 66.jpg │ ├── 67.jpg │ ├── 68.jpg │ ├── 69.jpg │ ├── 7..jpg │ ├── 70.jpg │ ├── 71.jpg │ ├── 72.jpg │ ├── 73.jpg │ ├── 74.jpg │ ├── 76.jpg │ ├── 77.jpg │ ├── 78.jpg │ ├── 79.jpg │ ├── 8.jpg │ ├── 80.jpg │ ├── 81.jpg │ ├── 82.jpg │ ├── 83.jpg │ ├── 84.jpg │ ├── 85..jpg │ ├── 86.jpg │ ├── 87.jpg │ ├── 89.jpg │ ├── 9.jpg │ ├── 90.jpg │ ├── 91.jpg │ ├── 92.jpg │ ├── 93.jpg │ ├── 94.jpg │ ├── 95.jpg │ ├── 96.jpg │ ├── 97.jpg │ ├── aged-pensioner-falling-on-the-ground-in-the-street-J59Y19.jpg │ ├── blood-blockage-ill-senior-man-touching-chest-falling-floor-sick-heart-attack-120330716.jpg │ ├── depositphotos_253687952-stock-photo-aging-grandfather-falling-down-because.jpg │ ├── depositphotos_98078022-stock-photo-man-falling-down.jpg │ ├── download (1).jpeg │ ├── download.jpeg │ ├── elder-man-falling-on-floor-260nw-1416345257.jpg │ ├── elderly-man-slip-fall-home-accident-old-mature-senior-woman-has-had-stairway-his-medical-aid-walker-stairs-64333178.jpg │ ├── elderly-senior-man-slip-fall-fallen-old-person-elderly-senior-man-slip-fall-212489583.jpg │ ├── fall-01-cam0-rgb-099.png │ ├── fall-01-cam0-rgb-107.png │ ├── fall-01-cam0-rgb-116.png │ ├── fall-01-cam0-rgb-130.png │ ├── fall-01-cam1-rgb-109.png │ ├── fall-01-cam1-rgb-125.png │ ├── fall-02-cam0-rgb-073.png │ ├── fall-02-cam0-rgb-088.png │ ├── fall-02-cam1-rgb-073.png │ ├── fall-02-cam1-rgb-083.png │ ├── fall-03-cam0-rgb-172.png │ ├── fall-03-cam0-rgb-213.png │ ├── fall-03-cam1-rgb-178.png │ ├── fall-03-cam1-rgb-185.png │ ├── fall-04-cam0-rgb-042.png │ ├── fall-04-cam0-rgb-053.png │ ├── fall-04-cam1-rgb-038.png │ ├── fall-04-cam1-rgb-047.png │ ├── fall-04-cam1-rgb-056.png │ ├── fall-05-cam0-rgb-108.png │ ├── fall-05-cam0-rgb-120.png │ ├── fall-05-cam0-rgb-143.png │ ├── fall-05-cam1-rgb-104.png │ ├── fall-05-cam1-rgb-113.png │ ├── fall-05-cam1-rgb-125.png │ ├── fall-06-cam0-rgb-038.png │ ├── fall-06-cam0-rgb-043.png │ ├── fall-06-cam0-rgb-053.png │ ├── fall-06-cam0-rgb-072.png │ ├── fall-06-cam1-rgb-042.png │ ├── fall-06-cam1-rgb-056.png │ ├── fall-06-cam1-rgb-080.png │ ├── fall-07-cam0-rgb-111.png │ ├── fall-07-cam0-rgb-124.png │ ├── fall-07-cam0-rgb-132.png │ ├── fall-07-cam0-rgb-156.png │ ├── fall-07-cam1-rgb-110.png │ ├── fall-07-cam1-rgb-115.png │ ├── fall-07-cam1-rgb-132.png │ ├── fall-08-cam0-rgb-059.png │ ├── fall-08-cam0-rgb-084.png │ ├── fall-08-cam1-rgb-063.png │ ├── fall-09-cam0-rgb-140.png │ ├── fall-09-cam0-rgb-156.png │ ├── fall-09-cam0-rgb-164.png │ ├── fall-09-cam0-rgb-184.png │ ├── fall-09-cam1-rgb-148.png │ ├── fall-09-cam1-rgb-158.png │ ├── fall-10-cam1-rgb-065.png │ ├── fall-11-cam1-rgb-079.png │ ├── fall-11-cam1-rgb-090.png │ ├── fall-11-cam1-rgb-106.png │ ├── fall-12-cam0-rgb-059.png │ ├── fall-12-cam0-rgb-067.png │ ├── fall-12-cam1-rgb-055.png │ ├── fall-13-cam0-rgb-065.png │ ├── fall-13-cam0-rgb-076.png │ ├── fall-13-cam1-rgb-068.png │ ├── fall-13-cam1-rgb-079.png │ ├── fall-14-cam0-rgb-037.png │ ├── fall-14-cam0-rgb-061.png │ ├── fall-14-cam1-rgb-049.png │ ├── fall-17-cam1-rgb-080.png │ ├── fall-18-cam1-rgb-043.png │ ├── fall-20-cam0-rgb-050.png │ ├── fall-20-cam0-rgb-059.png │ ├── fall-20-cam1-rgb-040.png │ ├── fall-20-cam1-rgb-048.png │ ├── fall-21-cam1-rgb-043.png │ ├── fall-25-cam0-rgb-062.png │ ├── fall-25-cam0-rgb-067.png │ ├── fall-25-cam0-rgb-071.png │ ├── fall-25-cam1-rgb-073.png │ ├── fall-26-cam0-rgb-038.png │ ├── fall-26-cam1-rgb-040.png │ ├── fallen-man-ladder-unconcious-elderly-lying-ground-having-fell-31442045.jpg │ ├── falling-screaming-businessman-formal-wear-260nw-214875505.jpg │ ├── fell-of-chair-20-4-hus-noorderpad-de-•-51927368.png │ ├── full-length-young-businessman-fallen-260nw-183268364.jpg │ ├── garden-accident-falling-over-senior-man-has-tripped-hose-pipe-fallen-to-ground-lucky-not-to-be-badly-injured-51174829.jpg │ ├── gettyimages-1183001771-612x612.jpg │ ├── gettyimages-1323451805-612x612.jpg │ ├── gettyimages-136811202-612x612.jpg │ ├── gettyimages-138341313-612x612.jpg │ ├── images (1).jpeg │ ├── images (10).jpeg │ ├── images (11).jpeg │ ├── images (12).jpeg │ ├── images (13).jpeg │ ├── images (14).jpeg │ ├── images (15).jpeg │ ├── images (16).jpeg │ ├── images (17).jpeg │ ├── images (18).jpeg │ ├── images (19).jpeg │ ├── images (2).jpeg │ ├── images (20).jpeg │ ├── images (21).jpeg │ ├── images (22).jpeg │ ├── images (23).jpeg │ ├── images (24).jpeg │ ├── images (25).jpeg │ ├── images (26).jpeg │ ├── images (27).jpeg │ ├── images (28).jpeg │ ├── images (3).jpeg │ ├── images (30).jpeg │ ├── images (31).jpeg │ ├── images (32).jpeg │ ├── images (33).jpeg │ ├── images (5).jpeg │ ├── images (6).jpeg │ ├── images (7).jpeg │ ├── images (8).jpeg │ ├── images (9).jpeg │ ├── images.jpeg │ ├── istockphoto-1063428084-612x612.jpg │ ├── istockphoto-1161018416-612x612.jpg │ ├── istockphoto-173556820-612x612.jpg │ ├── istockphoto-996842882-612x612.jpg │ ├── man-fallen-on-floor-having-260nw-1480983821.jpg │ ├── man-with-a-walker-falling-down-in-the-stock-photo_csp4654232.jpg │ ├── maxresdefault.jpg │ ├── nullxnull.jpeg │ ├── old-senior-fallen-man-elderly-260nw-1873191766.jpg │ ├── repairman-fallen-from-ladder-X13YEJ.jpg │ ├── split10_029.png │ ├── split10_184.png │ ├── split10_237.png │ ├── split10_247.png │ ├── split11_001.png │ ├── split11_009.png │ ├── split11_022.png │ ├── split11_030.png │ ├── split11_087.png │ ├── split11_093.png │ ├── split11_1004.png │ ├── split11_1029.png │ ├── split11_1038.png │ ├── split11_1064.png │ ├── split11_1203.png │ ├── split11_1696.png │ ├── split11_175.png │ ├── split11_2080.png │ ├── split11_2082.png │ ├── split11_2098.png │ ├── split11_530.png │ ├── split11_537.png │ ├── split11_682.png │ ├── split11_696.png │ ├── split11_741.png │ ├── split11_753.png │ ├── split11_789.png │ ├── split11_959.png │ ├── split11_993.png │ ├── split2_019.png │ ├── split3_017.png │ ├── woman-falling-near-caution-sign-home-mature-woman-falling-wet-floor-front-caution-sign-home-126291303.jpg │ └── young-man-dress-nightclothes-sleeping-260nw-90510538.jpg └── not-fall │ ├── 0203e5a8-8c1e-40e9-b23a-4733056bb0f5_Swallow+2.jpg │ ├── 0_Portrait-of-a-senior-man-indoor.jpg │ ├── 1 (1).jpg │ ├── 1 (2).jpg │ ├── 14_AIK_5918_2520Interior.jpg │ ├── 156473069-mature-man-sitting-in-an-armchair-and-reading-a-newspaper-in-a-living-room-at-home.jpg │ ├── 1794957.jpg │ ├── 1_Elderly-man-sitting-alone-at-home.jpg │ ├── 3000.jpg │ ├── 3001.jpg │ ├── 3002.jpg │ ├── 3003.jpg │ ├── 3004.jpg │ ├── 3005.jpg │ ├── 3006.jpg │ ├── 3007.jpg │ ├── 3008.jpg │ ├── 3009.jpg │ ├── 3010.jpg │ ├── 3011.jpg │ ├── 3012.jpg │ ├── 3013.jpg │ ├── 3014.jpg │ ├── 3015.jpg │ ├── 3016.jpg │ ├── 3017.jpg │ ├── 3018.jpg │ ├── 3019.jpg │ ├── 3020.jpg │ ├── 3021.jpg │ ├── 3022.jpg │ ├── 3023.jpg │ ├── 3024.jpg │ ├── 3025.jpg │ ├── 3026.jpg │ ├── 3027.jpg │ ├── 3028.jpg │ ├── 3029.jpg │ ├── 3030.jpg │ ├── 3031.jpg │ ├── 3032.jpg │ ├── 3033.jpg │ ├── 3034.jpg │ ├── 3035.jpg │ ├── 3036.jpg │ ├── 3037.jpg │ ├── 3038.jpg │ ├── 3039.jpg │ ├── 3040.jpg │ ├── 3041.jpg │ ├── 3042.jpg │ ├── 3043.jpg │ ├── 3044.jpg │ ├── 3045.jpg │ ├── 3046.jpg │ ├── 3047.jpg │ ├── 3048.jpg │ ├── 3049.jpg │ ├── 3050.jpg │ ├── 3051.jpg │ ├── 3052.jpg │ ├── 3053.jpg │ ├── 3054.jpg │ ├── 3055.jpg │ ├── 3056.jpg │ ├── 3057.jpg │ ├── 3058.jpg │ ├── 3059.jpg │ ├── 3060.jpg │ ├── 5dfb812331ce996bd94c50a62e968cd3.jpg │ ├── 600-03152868em-young-woman-sitting-on-park-bench-reading-a-book-stock-photo.jpg │ ├── 60367113-relaxed-man-sitting-on-a-comfortable-couch-and-reading-a-book-at-home.jpg │ ├── 6108-06166217en_Masterfile.jpg │ ├── 800px_COLOURBOX8048972.jpg │ ├── 83093349-woman-sitting-on-the-couch-looking-and-thinking-pose-on-wooden-floor-with-white-wall-background-.jpg │ ├── 87-year-old-elderly-man-living-alone-stood-in-his-hallway-england-united-kingdom-2AJRA2H.jpg │ ├── 8be690aebe35a3afb2e9aeb82cc607b76b1052b8.jpg │ ├── ALEXANDER3-scaled-803x603-1588189198.jpg │ ├── AP_20110480735651-900x600-768x512-600x400.jpg │ ├── D1028_103_066_1200.jpg │ ├── Female_Reading_1200x628-facebook.jpg │ ├── PSOCZKI7XBCYFGPGCCJ6ASI5PU.jpg │ ├── Woman-Walking-Dog-Mikael-Wallerstedt-Uppsala-University-Released.jpg │ ├── a-side-view-of-man-walking-with-a-mobile-stock-image_csp66335565.jpg │ ├── depositphotos_190344190-stock-photo-side-view-handsome-young-man.jpg │ ├── depositphotos_232207984-stock-photo-female-business-person-sitting-desk.jpg │ ├── depositphotos_245876718-stock-photo-senior-man-sitting-alone-living.jpg │ ├── depositphotos_7357415-stock-photo-attractive-woman-relax-living-room.jpg │ ├── download (1).jpeg │ ├── download (10).jpeg │ ├── download (11).jpeg │ ├── download (2).jpeg │ ├── download (3).jpeg │ ├── download (4).jpeg │ ├── download (5).jpeg │ ├── download (6).jpeg │ ├── download (7).jpeg │ ├── download (8).jpeg │ ├── download (9).jpeg │ ├── download.jpeg │ ├── elderly-person-in-care-home(1).jpg │ ├── elderly-person-in-care-home.jpg │ ├── enthusiastic-young-woman-standing-dressing-room-wardrobe-thinking-has-contemplative-look-her-beautiful-black-dress-hovers-air-she-has-long-curly-brown-hair_197531-1698(1).jpg │ ├── enthusiastic-young-woman-standing-dressing-room-wardrobe-thinking-has-contemplative-look-her-beautiful-black-dress-hovers-air-she-has-long-curly-brown-hair_197531-1698.jpg │ ├── excited-millennial-businesswoman-relax-listening-to-music-headset-workplace-happy-female-worker-dance-rhythm-office-chair-122984569(1).jpg │ ├── excited-millennial-businesswoman-relax-listening-to-music-headset-workplace-happy-female-worker-dance-rhythm-office-chair-122984569.jpg │ ├── fall-10-cam0-rgb-001(1).png │ ├── fall-10-cam0-rgb-001.png │ ├── fall-30-cam1-rgb-001(1).png │ ├── fall-30-cam1-rgb-001.png │ ├── fall_img_1(1).png │ ├── fall_img_1.png │ ├── fall_img_11(1).png │ ├── fall_img_11.png │ ├── fall_img_11_flip.png │ ├── fall_img_15.png │ ├── fall_img_4.png │ ├── focused_157573068-stock-photo-man-standing-in-bedroom.jpg │ ├── focused_293497824-stock-photo-senior-woman-standing-couch-living.jpg │ ├── gettyimages-1077393686-612x612.jpg │ ├── gettyimages-1134648986-612x612.jpg │ ├── gettyimages-1194490223-612x612.jpg │ ├── gettyimages-735892663-170667a.jpg │ ├── girl-kitchen-short-shorts-sexy-55357539.jpg │ ├── happy-woman-relaxing-on-comfortable-260nw-1126189862.jpg │ ├── healthy-diet-during-pregnancy-young-260nw-1928465444.jpg │ ├── home-2015-09-wood-ikea-cabinets-0903-stocksy-main.jpg │ ├── images (1).jpeg │ ├── images (10).jpeg │ ├── images (11).jpeg │ ├── images (12).jpeg │ ├── images (13).jpeg │ ├── images (14).jpeg │ ├── images (15).jpeg │ ├── images (16).jpeg │ ├── images (17).jpeg │ ├── images (19).jpeg │ ├── images (2).jpeg │ ├── images (20).jpeg │ ├── images (21).jpeg │ ├── images (22).jpeg │ ├── images (23).jpeg │ ├── images (24).jpeg │ ├── images (25).jpeg │ ├── images (26).jpeg │ ├── images (27).jpeg │ ├── images (28).jpeg │ ├── images (29).jpeg │ ├── images (3).jpeg │ ├── images (30).jpeg │ ├── images (31).jpeg │ ├── images (32).jpeg │ ├── images (33).jpeg │ ├── images (34).jpeg │ ├── images (4).jpeg │ ├── images (5).jpeg │ ├── images (6).jpeg │ ├── images (7).jpeg │ ├── images (8).jpeg │ ├── images (9).jpeg │ ├── images.jpeg │ ├── inline_image_preview (1).jpg │ ├── inline_image_preview.jpg │ ├── istockphoto-1208331223-1024x1024.jpg │ ├── istockphoto-1286500630-640x640.jpg │ ├── istockphoto-959019814-1024x1024.jpg │ ├── jenecouch_custom-a00684aa3997015130e14c1aaba20c5091a4664d.jpg │ ├── lonely-senior-man-sitting-on-sofa-indoors-at-christmas-solitude-concept-2D57X09.jpg │ ├── man-animal-posing-studio-guy-holding-dog-jack-russell-terrier-his-arms-friends-smile-happily-man-dog-132761364.jpg │ ├── man-sitting-on-floor-next-to-couch-dirtier-than-toilet-seat.jpg │ ├── mature-man-relaxing-on-leather-chair-in-his-living-room-looking-out-of-window-RBF06480.jpg │ ├── person-face2.jpg │ ├── photo-1523416562596-aa5fbce27303.jpeg │ ├── photo-1527237545644-c3d2a74ede9f.jpeg │ ├── portrait-happy-business-woman-coffee-shop-having-enjoyed-impressive-success-victory-dance-rewarded-won-good-con-95086854.jpg │ ├── reading-park-bench-10074620.jpg │ ├── relaxed-young-man-sit-rest-couch-modern-design-living-room-daydreaming-sleeping-calm-millennial-male-relax-sofa-184923758.jpg │ ├── rgb_0001.png │ ├── rgb_0002.png │ ├── rgb_0009.png │ ├── rgb_0020.png │ ├── rgb_0023.png │ ├── rgb_0043.png │ ├── rgb_0046.png │ ├── rgb_0053.png │ ├── rgb_0096.png │ ├── rgb_0108.png │ ├── rgb_0119.png │ ├── rgb_0144.png │ ├── rgb_0151.png │ ├── rgb_0160.png │ ├── rgb_0164.png │ ├── rgb_0174.png │ ├── rgb_0281.png │ ├── rgb_0293.png │ ├── rgb_0510.png │ ├── rgb_0534.png │ ├── rgb_0570.png │ ├── rgb_0629.png │ ├── sad-and-lonely-senior-man-with-tablet-sitting-at-the-table-indoors-at-christmas-solitude-concept-2D12FDW.jpg │ ├── senior-man-standing-outside-house-5112779.jpg │ ├── shutterstock_587404685.jpg │ ├── simple-things-that-will-make-you-happier-at-home-hero-720x500.jpg │ ├── smiling-woman-standing-at-open-front-door-G2DFJN.jpg │ ├── wes-rbf06011.jpg │ ├── young-man-making-video-call-sitting-sofa-his-living-room-giving-greeting-wave-gesture_1098-19249.jpg │ └── young-woman-standing-in-a-room-in-need-of-redecoration-X18FPE.jpg ├── fall_prediction.py ├── install_requirements.sh ├── posenet_models_unit_test.csv ├── requirements.txt ├── src ├── __init__.py ├── pipeline │ ├── __init__.py │ ├── fall_detect.py │ ├── inference.py │ ├── movenet_model.py │ ├── pose_base.py │ ├── pose_engine.py │ └── posenet_model.py ├── setup.cfg └── setup.py ├── tests ├── pipeline │ ├── background.jpg │ ├── fall_img_1.png │ ├── fall_img_11.png │ ├── fall_img_11_flip.png │ ├── fall_img_12.png │ ├── fall_img_12_flip.png │ ├── fall_img_15.png │ ├── fall_img_16.png │ ├── fall_img_17.png │ ├── fall_img_1_1.png │ ├── fall_img_2.png │ ├── fall_img_2_2.png │ ├── fall_img_3.png │ ├── fall_img_4.png │ ├── fall_img_5.png │ ├── fall_img_6.png │ ├── fall_img_7.png │ ├── lite-model_movenet_singlepose_thunder_3.tflite │ ├── pose_labels.txt │ ├── posenet_mobilenet_v1_075_721_1281_quant_decoder_edgetpu.tflite │ ├── posenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite │ ├── test_fall_detect_movenet.py │ └── test_fall_detect_posenet.py ├── run-tests.sh └── test_fall_prediction.py ├── tmp └── 20210430-115918.yaml └── videos ├── video_1.mp4 ├── video_2.mp4 ├── video_3.mp4 ├── video_4.mp4 └── video_5.mp4 /.github/FUNDING.yml: -------------------------------------------------------------------------------- 1 | # These are supported funding model platforms 2 | 3 | github: [ambianic] # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2] 4 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/bug_report.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Bug report 3 | about: Create a report to help us improve 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Describe the bug** 11 | A clear and concise description of what the bug is. 12 | 13 | **To Reproduce** 14 | Steps to reproduce the behavior: 15 | 1. Go to '...' 16 | 2. Click on '....' 17 | 3. Scroll down to '....' 18 | 4. See error 19 | 20 | **Expected behavior** 21 | A clear and concise description of what you expected to happen. 22 | 23 | **Screenshots** 24 | If applicable, add screenshots to help explain your problem. 25 | 26 | **Desktop (please complete the following information):** 27 | - OS: [e.g. iOS] 28 | - Browser [e.g. chrome, safari] 29 | - Version [e.g. 22] 30 | 31 | **Smartphone (please complete the following information):** 32 | - Device: [e.g. iPhone6] 33 | - OS: [e.g. iOS8.1] 34 | - Browser [e.g. stock browser, safari] 35 | - Version [e.g. 22] 36 | 37 | **Additional context** 38 | Add any other context about the problem here. 39 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE/feature_request.md: -------------------------------------------------------------------------------- 1 | --- 2 | name: Feature request 3 | about: Suggest an idea for this project 4 | title: '' 5 | labels: '' 6 | assignees: '' 7 | 8 | --- 9 | 10 | **Is your feature request related to a problem? Please describe.** 11 | A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] 12 | 13 | **Describe the solution you'd like** 14 | A clear and concise description of what you want to happen. 15 | 16 | **Describe alternatives you've considered** 17 | A clear and concise description of any alternative solutions or features you've considered. 18 | 19 | **Additional context** 20 | Add any other context or screenshots about the feature request here. 21 | -------------------------------------------------------------------------------- /.github/workflows/codeql-analysis.yml: -------------------------------------------------------------------------------- 1 | # For most projects, this workflow file will not need changing; you simply need 2 | # to commit it to your repository. 3 | # 4 | # You may wish to alter this file to override the set of languages analyzed, 5 | # or to provide custom queries or build logic. 6 | # 7 | # ******** NOTE ******** 8 | # We have attempted to detect the languages in your repository. Please check 9 | # the `language` matrix defined below to confirm you have the correct set of 10 | # supported CodeQL languages. 11 | # 12 | name: "CodeQL" 13 | 14 | on: 15 | push: 16 | branches: [ main ] 17 | pull_request: 18 | # The branches below must be a subset of the branches above 19 | branches: [ main ] 20 | schedule: 21 | - cron: '38 14 * * 1' 22 | 23 | jobs: 24 | analyze: 25 | name: Analyze 26 | runs-on: ubuntu-latest 27 | permissions: 28 | actions: read 29 | contents: read 30 | security-events: write 31 | 32 | strategy: 33 | fail-fast: false 34 | matrix: 35 | language: [ 'python' ] 36 | # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python' ] 37 | # Learn more: 38 | # https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed 39 | 40 | steps: 41 | - name: Checkout repository 42 | uses: actions/checkout@v2 43 | 44 | # Initializes the CodeQL tools for scanning. 45 | - name: Initialize CodeQL 46 | uses: github/codeql-action/init@v1 47 | with: 48 | languages: ${{ matrix.language }} 49 | # If you wish to specify custom queries, you can do so here or in a config file. 50 | # By default, queries listed here will override any specified in a config file. 51 | # Prefix the list here with "+" to use these queries and those in the config file. 52 | # queries: ./path/to/local/query, your-org/your-repo/queries@main 53 | 54 | # Autobuild attempts to build any compiled languages (C/C++, C#, or Java). 55 | # If this step fails, then you should remove it and run the build manually (see below) 56 | - name: Autobuild 57 | uses: github/codeql-action/autobuild@v1 58 | 59 | # ℹ️ Command-line programs to run using the OS shell. 60 | # 📚 https://git.io/JvXDl 61 | 62 | # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines 63 | # and modify them (or add more) to build your code if your project 64 | # uses a compiled language 65 | 66 | #- run: | 67 | # make bootstrap 68 | # make release 69 | 70 | - name: Perform CodeQL Analysis 71 | uses: github/codeql-action/analyze@v1 72 | -------------------------------------------------------------------------------- /.github/workflows/pythonpackage.yml: -------------------------------------------------------------------------------- 1 | name: Python package 2 | 3 | on: [push, pull_request] 4 | 5 | jobs: 6 | build: 7 | name: Build Job 8 | 9 | runs-on: ubuntu-latest 10 | strategy: 11 | max-parallel: 4 12 | matrix: 13 | python-version: [3.7, 3.8] 14 | 15 | steps: 16 | - uses: actions/checkout@v2 17 | - name: Set up Python ${{ matrix.python-version }} 18 | uses: actions/setup-python@v2 19 | with: 20 | python-version: ${{ matrix.python-version }} 21 | - name: Install python package locally 22 | run: | 23 | python3 -m pip install --upgrade pip 24 | pip3 install --editable src 25 | - name: Lint with flake8 26 | run: | 27 | pip3 install flake8 28 | # stop the build if there are Python syntax errors or undefined names 29 | flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics 30 | # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide 31 | flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics 32 | - name: Test with pytest 33 | env: 34 | ARCH: "linux/amd64" 35 | TAG_SUFFIX: "amd64" 36 | run: | 37 | pip3 install pytest 38 | pwd 39 | ls -al 40 | echo GITHUB_WORKSPACE=${GITHUB_WORKSPACE} 41 | echo "ARCH=${ARCH}" 42 | ${GITHUB_WORKSPACE}/install_requirements.sh 43 | ${GITHUB_WORKSPACE}/tests/run-tests.sh 44 | 45 | 46 | release: 47 | name: Release Job 48 | needs: [build] 49 | if: github.ref == 'refs/heads/main' && github.event_name == 'push' 50 | runs-on: ubuntu-latest 51 | steps: 52 | - uses: actions/checkout@v2 53 | - name: Install Node.js 12 54 | uses: actions/setup-node@v2 55 | with: 56 | node-version: lts/* 57 | - name: Install Python 3 58 | uses: actions/setup-python@v2 59 | with: 60 | python-version: '3.x' 61 | - name: Run Semantic Release 62 | id: semrel 63 | uses: cycjimmy/semantic-release-action@v2 64 | with: 65 | extra_plugins: | 66 | @semantic-release/changelog 67 | @semantic-release/git 68 | @semantic-release/exec 69 | branches: | 70 | [ 71 | 'master', 'main' 72 | ] 73 | env: 74 | GITHUB_TOKEN: ${{ secrets.GH_PAT }} 75 | NPM_TOKEN: ${{ secrets.NPM_TOKEN }} 76 | CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} 77 | - name: Semantic release completed 78 | run: echo Semantic release flow completed 79 | -------------------------------------------------------------------------------- /.github/workflows/pythonpublish.yml: -------------------------------------------------------------------------------- 1 | name: Upload Python Package 2 | 3 | on: 4 | release: 5 | types: [created] 6 | 7 | jobs: 8 | deploy-validate: 9 | name: Validate deployment on Test.PyPi.org 10 | runs-on: ubuntu-latest 11 | steps: 12 | - uses: actions/checkout@v2 13 | - name: Set up Python 14 | uses: actions/setup-python@v2 15 | with: 16 | python-version: '3.x' 17 | - name: Install dependencies 18 | run: | 19 | python -m pip install --upgrade pip 20 | pip install setuptools wheel twine 21 | - name: Build and publish 22 | env: 23 | TWINE_USERNAME: '__token__' 24 | TWINE_PASSWORD: ${{ secrets.TEST_PYPI_TOKEN }} 25 | run: | 26 | cp README.md src/ 27 | cd src 28 | python setup.py sdist bdist_wheel 29 | twine upload --verbose --repository testpypi dist/* 30 | # twine upload dist/* 31 | deploy-prod: 32 | name: Deploy to PyPi.org 33 | if: ${{ github.repository_owner == 'ambianic' }} 34 | needs: [deploy-validate] 35 | runs-on: ubuntu-latest 36 | steps: 37 | - uses: actions/checkout@v2 38 | - name: Set up Python 39 | uses: actions/setup-python@v2 40 | with: 41 | python-version: '3.x' 42 | - name: Install dependencies 43 | run: | 44 | python -m pip install --upgrade pip 45 | pip install setuptools wheel twine 46 | - name: Build and publish 47 | env: 48 | TWINE_USERNAME: '__token__' 49 | TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }} 50 | run: | 51 | cp README.md src/ 52 | cd src 53 | python setup.py sdist bdist_wheel 54 | twine upload --verbose dist/* 55 | 56 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | develop-eggs/ 12 | dist/ 13 | downloads/ 14 | eggs/ 15 | .eggs/ 16 | lib/ 17 | lib64/ 18 | parts/ 19 | sdist/ 20 | var/ 21 | wheels/ 22 | pip-wheel-metadata/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | 53 | # Translations 54 | *.mo 55 | *.pot 56 | 57 | # Django stuff: 58 | *.log 59 | local_settings.py 60 | db.sqlite3 61 | db.sqlite3-journal 62 | 63 | # Flask stuff: 64 | instance/ 65 | .webassets-cache 66 | 67 | # Scrapy stuff: 68 | .scrapy 69 | 70 | # Sphinx documentation 71 | docs/_build/ 72 | 73 | # PyBuilder 74 | target/ 75 | 76 | # Jupyter Notebook 77 | .ipynb_checkpoints 78 | 79 | # IPython 80 | profile_default/ 81 | ipython_config.py 82 | 83 | # pyenv 84 | .python-version 85 | 86 | # pipenv 87 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 88 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 89 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 90 | # install all needed dependencies. 91 | #Pipfile.lock 92 | 93 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 94 | __pypackages__/ 95 | 96 | # Celery stuff 97 | celerybeat-schedule 98 | celerybeat.pid 99 | 100 | # SageMath parsed files 101 | *.sage.py 102 | 103 | # Environments 104 | .env 105 | .venv 106 | env/ 107 | venv/ 108 | ENV/ 109 | env.bak/ 110 | venv.bak/ 111 | 112 | # Spyder project settings 113 | .spyderproject 114 | .spyproject 115 | 116 | # Rope project settings 117 | .ropeproject 118 | 119 | # mkdocs documentation 120 | /site 121 | 122 | # mypy 123 | .mypy_cache/ 124 | .dmypy.json 125 | dmypy.json 126 | 127 | # Pyre type checker 128 | .pyre/ 129 | -------------------------------------------------------------------------------- /.releaserc: -------------------------------------------------------------------------------- 1 | { 2 | "branches": ["main", "master"], 3 | "plugins": [ 4 | "@semantic-release/commit-analyzer", 5 | "@semantic-release/release-notes-generator", 6 | [ 7 | "@semantic-release/changelog", 8 | { 9 | "changelogFile": "CHANGELOG.md", 10 | "changelogTitle": "# Semantic Versioning Changelog" 11 | } 12 | ], 13 | [ 14 | "@semantic-release/exec", 15 | { 16 | "prepareCmd": "./build/prepare-semantic-release.sh ${nextRelease.version}" 17 | } 18 | ], 19 | [ 20 | "@semantic-release/git", 21 | { 22 | "assets": [ 23 | "CHANGELOG.md", 24 | "src/setup.cfg" 25 | ] 26 | } 27 | ], 28 | "@semantic-release/github", 29 | ] 30 | } 31 | -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Semantic Versioning Changelog 2 | 3 | ## [1.0.9](https://github.com/ambianic/fall-detection/compare/v1.0.8...v1.0.9) (2021-10-04) 4 | 5 | 6 | ### Bug Fixes 7 | 8 | * prod deployment for main upstream repo only ([3fc569b](https://github.com/ambianic/fall-detection/commit/3fc569b733569188da1f4311c26bf8cb9909c9b7)) 9 | 10 | ## [1.0.8](https://github.com/ambianic/fall-detection/compare/v1.0.7...v1.0.8) (2021-10-04) 11 | 12 | 13 | ### Bug Fixes 14 | 15 | * formatting for pypi ([24ced87](https://github.com/ambianic/fall-detection/commit/24ced8763170b4e7e800c12c5169ad0842f431a8)) 16 | 17 | ## [1.0.7](https://github.com/ambianic/fall-detection/compare/v1.0.6...v1.0.7) (2021-10-04) 18 | 19 | 20 | ### Bug Fixes 21 | 22 | * author field ([5a7cd89](https://github.com/ambianic/fall-detection/commit/5a7cd895a4386c70617edeb2336f851277729fea)) 23 | 24 | ## [1.0.6](https://github.com/ambianic/fall-detection/compare/v1.0.5...v1.0.6) (2021-10-04) 25 | 26 | 27 | ### Bug Fixes 28 | 29 | * sem rel script ([7dc999d](https://github.com/ambianic/fall-detection/commit/7dc999dce4e967f7417bc82f392e080984e23ab0)) 30 | 31 | ## [1.0.5](https://github.com/ambianic/fall-detection/compare/v1.0.4...v1.0.5) (2021-10-04) 32 | 33 | 34 | ### Bug Fixes 35 | 36 | * pypi upload command ([246e8d1](https://github.com/ambianic/fall-detection/commit/246e8d1a35a07c2cb3ad16d8e32952af1e13cd5a)) 37 | 38 | ## [1.0.4](https://github.com/ambianic/fall-detection/compare/v1.0.3...v1.0.4) (2021-10-04) 39 | 40 | 41 | ### Bug Fixes 42 | 43 | * pypi package name ([731bac5](https://github.com/ambianic/fall-detection/commit/731bac595e17ab4589ae0865e749e39b0a198583)) 44 | 45 | ## [1.0.3](https://github.com/ambianic/fall-detection/compare/v1.0.2...v1.0.3) (2021-10-04) 46 | 47 | 48 | ### Bug Fixes 49 | 50 | * pypi release action ([b81b100](https://github.com/ambianic/fall-detection/commit/b81b100aea6fc1eee40265e235ef192ee9b1df10)) 51 | 52 | ## [1.0.2](https://github.com/ambianic/fall-detection/compare/v1.0.1...v1.0.2) (2021-10-04) 53 | 54 | 55 | ### Bug Fixes 56 | 57 | * trigger pypi publish workflow ([9884d25](https://github.com/ambianic/fall-detection/commit/9884d252bcbe45bc53133963cc1f877f631a30dd)) 58 | 59 | ## [1.0.1](https://github.com/ambianic/fall-detection/compare/v1.0.0...v1.0.1) (2021-10-04) 60 | 61 | 62 | ### Bug Fixes 63 | 64 | * test pypi publish workflow ([3bac010](https://github.com/ambianic/fall-detection/commit/3bac0108b08c8bfb7151dbf0bd9dae7459467f81)) 65 | 66 | # 1.0.0 (2021-10-03) 67 | 68 | 69 | ### Bug Fixes 70 | 71 | * python setup files ([#23](https://github.com/ambianic/fall-detection/issues/23)) ([41ee60d](https://github.com/ambianic/fall-detection/commit/41ee60de73ecb6b3dc1d05753f806c14a0af4a41)) 72 | 73 | 74 | ### Features 75 | 76 | * add MoveNet and PoseNet notebooks for experiment ([916271e](https://github.com/ambianic/fall-detection/commit/916271eb3eef553af326bbefaa0230e5a033ec61)) 77 | * add plot title for video seq ([db3d7c2](https://github.com/ambianic/fall-detection/commit/db3d7c2d865dea935a5038e86e454783b50dbab2)) 78 | * add tflite model training and inference ([#33](https://github.com/ambianic/fall-detection/issues/33)) ([3e7658c](https://github.com/ambianic/fall-detection/commit/3e7658cd6889a4b790533c8bdf73c2f9181a5855)) 79 | * add video samples to notebook ([702b334](https://github.com/ambianic/fall-detection/commit/702b3347aeebf625e540061146f3ce2d9c88577e)) 80 | * fall detect pypi publishing ([#32](https://github.com/ambianic/fall-detection/issues/32)) ([87f1751](https://github.com/ambianic/fall-detection/commit/87f17517c65e9a221bf93ba4903164fcf6eb2be0)) 81 | * fall-detect initialization ([6e439aa](https://github.com/ambianic/fall-detection/commit/6e439aa37c4d4bf10f3b5020dccdf9193759bbd2)), closes [#14](https://github.com/ambianic/fall-detection/issues/14) 82 | 83 | 84 | ### Performance Improvements 85 | 86 | * [ImgBot] Optimize images ([#19](https://github.com/ambianic/fall-detection/issues/19)) ([a489885](https://github.com/ambianic/fall-detection/commit/a4898853e94e0c3d874e2301a9d6507c84f26c00)) 87 | -------------------------------------------------------------------------------- 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if version is updated in setup.cfg 22 | echo "verify if version is updated in setup.cfg" 23 | cat setup.cfg 24 | -------------------------------------------------------------------------------- /demo-fall-detection-cmd.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | from pathlib import Path 3 | from PIL import Image 4 | from fall_prediction import Fall_prediction 5 | import numpy as np 6 | import json 7 | import time 8 | import yaml 9 | 10 | class JsonEncoder(json.JSONEncoder): 11 | def default(self, obj): 12 | if isinstance(obj, np.integer): 13 | return int(obj) 14 | if isinstance(obj, np.floating): 15 | return float(obj) 16 | if isinstance(obj, np.ndarray): 17 | return obj.tolist() 18 | 19 | return super(JsonEncoder, self).default(obj) 20 | 21 | parser = argparse.ArgumentParser() 22 | parser.add_argument("--image_1", type=Path, help='Path to the First Image', required=True) 23 | parser.add_argument("--image_2", type=Path, help='Path to the Second Image', required=True) 24 | parser.add_argument("--image_3", type=Path, help='Path to the Third Image') 25 | 26 | p = parser.parse_args() 27 | img1 = Image.open(p.image_1) 28 | img2 = Image.open(p.image_2) 29 | img3 = Image.open(p.image_3) if p.image_3 else None 30 | 31 | response = Fall_prediction(img1, img2, img3) 32 | 33 | if response: 34 | 35 | print("There is", response['category']) 36 | print("Confidence :", response['confidence']) 37 | print("Angle : ", response['angle']) 38 | print("Keypoint_corr :", response['keypoint_corr']) 39 | 40 | time_str = time.strftime("%Y%m%d-%H%M%S") 41 | json_str = json.dumps(response, cls=JsonEncoder) 42 | 43 | with open(f"tmp/{time_str}.yaml","w",) as file: 44 | yaml.dump(json.loads(json_str), file) 45 | else: 46 | print("There is no fall detetcion...") 47 | 48 | -------------------------------------------------------------------------------- /demo-fall-detection.py: -------------------------------------------------------------------------------- 1 | from PIL import Image 2 | from fall_prediction import Fall_prediction 3 | 4 | img1 = Image.open("Images/fall_img_1.png") 5 | img2 = Image.open("Images/fall_img_2.png") 6 | img3 = Image.open("Images/fall_img_3.png") 7 | 8 | response = Fall_prediction(img1, img2, img3) 9 | 10 | if response: 11 | print("There is", response['category']) 12 | print("Confidence :", response['confidence']) 13 | print("Angle : ", response['angle']) 14 | print("Keypoint_corr :", response['keypoint_corr']) 15 | else: 16 | print("There is no fall detetcion...") 17 | -------------------------------------------------------------------------------- /fall_dataset/fall/1.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ambianic/fall-detection/30a050f9761ba5f019e7f83b497e9db8b80ff2f0/fall_dataset/fall/1.jpg 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'labels': _good_labels, 25 | 'top_k': 3, 26 | 'confidence_threshold': 0.6, 27 | 'model_name':'mobilenet' 28 | } 29 | return config 30 | 31 | 32 | def Fall_prediction(img_1,img_2,img_3=None): 33 | 34 | config = _fall_detect_config() 35 | result = None 36 | 37 | fall_detector = FallDetector(**config) 38 | 39 | def process_response(response): 40 | nonlocal result 41 | for res in response: 42 | result = res['inference_result'] 43 | 44 | process_response(fall_detector.process_sample(image=img_1)) 45 | 46 | time.sleep(fall_detector.min_time_between_frames) 47 | 48 | process_response(fall_detector.process_sample(image=img_2)) 49 | 50 | if len(result) == 1: 51 | category = result[0]['label'] 52 | confidence = result[0]['confidence'] 53 | angle = result[0]['leaning_angle'] 54 | keypoint_corr = result[0]['keypoint_corr'] 55 | 56 | dict_res = {} 57 | dict_res["category"] = category 58 | dict_res["confidence"] = confidence 59 | dict_res["angle"] = angle 60 | dict_res["keypoint_corr"] = keypoint_corr 61 | return dict_res 62 | 63 | else: 64 | 65 | if img_3: 66 | 67 | time.sleep(fall_detector.min_time_between_frames) 68 | process_response(fall_detector.process_sample(image=img_3)) 69 | 70 | if len(result) == 1: 71 | 72 | category = result[0]['label'] 73 | confidence = result[0]['confidence'] 74 | angle = result[0]['leaning_angle'] 75 | keypoint_corr = result[0]['keypoint_corr'] 76 | 77 | dict_res = {} 78 | dict_res["category"] = category 79 | dict_res["confidence"] = confidence 80 | dict_res["angle"] = angle 81 | dict_res["keypoint_corr"] = keypoint_corr 82 | return dict_res 83 | 84 | return None 85 | -------------------------------------------------------------------------------- /install_requirements.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | echo "Installing Ambianic dependencies" 4 | 5 | # exit bash script on error 6 | set -e 7 | 8 | # verbose mode 9 | set -x 10 | 11 | # update apt-get and install sudo 12 | apt-get update -y && apt-get install -y sudo 13 | 14 | # check if python3 is installed 15 | if python3 --version 16 | then 17 | echo "python3 is already installed." 18 | else 19 | # install python3 and pip3 which are not available by default on slim buster 20 | echo "python3 is not available from the parent image. Installing python3 now." 21 | sudo apt-get install -y python3 && apt-get install -y python3-pip 22 | fi 23 | 24 | # install numpy native lib 25 | sudo apt-get install -y python3-numpy 26 | sudo apt-get install -y libjpeg-dev zlib1g-dev 27 | 28 | 29 | # install python dependencies 30 | python3 -m pip install --upgrade pip 31 | pip3 --version 32 | pip3 install -r requirements.txt 33 | 34 | 35 | 36 | echo "Installing tflite for x86 CPU" 37 | 38 | pip3 install --index-url https://google-coral.github.io/py-repo/ tflite_runtime 39 | pip3 list 40 | 41 | # [Cleanup] 42 | sudo apt-get -y autoremove 43 | 44 | # remove apt-get cache 45 | sudo rm -rf /var/lib/apt/lists/* 46 | 47 | # This is run automatically on Debian and Ubuntu, but just in case 48 | sudo apt-get clean 49 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | numpy>=1.16.2 2 | Pillow>=5.4.1 3 | PyYAML>=5.1.2 4 | -------------------------------------------------------------------------------- /src/__init__.py: -------------------------------------------------------------------------------- 1 | DEFAULT_DATA_DIR: str = './data' -------------------------------------------------------------------------------- /src/pipeline/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ambianic/fall-detection/30a050f9761ba5f019e7f83b497e9db8b80ff2f0/src/pipeline/__init__.py -------------------------------------------------------------------------------- /src/pipeline/movenet_model.py: -------------------------------------------------------------------------------- 1 | from src.pipeline.pose_base import AbstractPoseModel 2 | import numpy as np 3 | import time 4 | 5 | 6 | class Movenet(AbstractPoseModel): 7 | '''The class for pose estimation using Movenet implementation.''' 8 | 9 | def __init__(self, tfengine): 10 | super().__init__(tfengine) 11 | 12 | 13 | def parse_output(self, keypoints_with_scores, height, width): 14 | ''' 15 | Parse Output of TFLite model and get keypoints with score. 16 | ''' 17 | 18 | keypoints_all = [] 19 | num_instances, _, _, _ = keypoints_with_scores.shape 20 | 21 | for idx in range(num_instances): 22 | 23 | kpts_y = keypoints_with_scores[0, idx, :, 1] 24 | kpts_x = keypoints_with_scores[0, idx, :, 0] 25 | 26 | kpts_scores = keypoints_with_scores[0, idx, :, 2] 27 | 28 | kpts_absolute_xy = np.stack([width * np.array(kpts_x), height * np.array(kpts_y), kpts_scores], axis=-1) 29 | keypoints_all.append(kpts_absolute_xy) 30 | 31 | if keypoints_all: 32 | keypoints_xy = np.concatenate(keypoints_all, axis=0) 33 | else: 34 | keypoints_xy = np.zeros((0, 17, 2)) 35 | 36 | return keypoints_xy 37 | 38 | 39 | def execute_model(self, img): 40 | ''' Run TFLite model. 41 | 42 | :Parameters: 43 | ---------- 44 | img: PIL.Image 45 | Input Image for AI model detection. 46 | :Returns: 47 | ------- 48 | kps: 49 | A list of Pose objects with keypoints and confidence scores 50 | template_image: PIL.Image 51 | Input resized image. 52 | thumbnail: PIL.Image 53 | Thumbnail input image 54 | _inference_time: float 55 | Model inference time in seconds 56 | ''' 57 | 58 | _tensor_input_size = (self._tensor_image_width, 59 | self._tensor_image_height) 60 | 61 | # thumbnail is a proportionately resized image 62 | thumbnail = self.thumbnail(image=img, 63 | desired_size=_tensor_input_size) 64 | # convert thumbnail into an image with the exact size 65 | # as the input tensor preserving proportions by padding with 66 | # a solid color as needed 67 | template_image = self.resize(image=thumbnail, 68 | desired_size=_tensor_input_size) 69 | 70 | start_time = time.process_time() 71 | 72 | template_input = np.expand_dims(template_image.copy(), axis=0) 73 | floating_model = self._tfengine.input_details[0]['dtype'] == np.float32 74 | 75 | if floating_model: 76 | template_input = template_input.astype(np.float32) 77 | 78 | self.tf_interpreter().\ 79 | set_tensor(self._tfengine.input_details[0]['index'], 80 | template_input) 81 | self.tf_interpreter().invoke() 82 | 83 | keypoints_with_scores = self.tf_interpreter().get_tensor(self._tfengine.output_details[0]['index']) 84 | kps = self.parse_output(keypoints_with_scores, self._tensor_image_height, self._tensor_image_width) 85 | 86 | 87 | _inference_time = time.process_time() - start_time 88 | 89 | return kps, template_image, thumbnail, _inference_time -------------------------------------------------------------------------------- /src/pipeline/pose_base.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | import numpy as np 3 | from PIL import ImageOps 4 | 5 | import logging 6 | log = logging.getLogger(__name__) 7 | 8 | class AbstractPoseModel(ABC): 9 | """ 10 | Abstract class for pose estimation models. 11 | """ 12 | 13 | def __init__(self, tfengine): 14 | 15 | """Initialize posenet-base class with Tensorflow inference engine. 16 | :Parameters: 17 | ---------- 18 | tfengine: Tensorflow inference engine. 19 | """ 20 | 21 | self._tfengine = tfengine 22 | 23 | self._input_tensor_shape = self.get_input_tensor_shape() 24 | 25 | _, self._tensor_image_height, self._tensor_image_width, self._tensor_image_depth = \ 26 | self.get_input_tensor_shape() 27 | 28 | self.confidence_threshold = self._tfengine.confidence_threshold 29 | log.debug(f"Initializing PoseEngine with confidence threshold \ 30 | {self.confidence_threshold}") 31 | 32 | 33 | def get_input_tensor_shape(self): 34 | """Get the shape of the input tensor structure. 35 | Gets the shape required for the input tensor. 36 | For models trained for image classification / detection, the shape is 37 | always [1, height, width, channels]. 38 | To be used as input for :func:`run_inference`, 39 | this tensor shape must be flattened into a 1-D array with size 40 | ``height * width * channels``. To instead get that 1-D array size, use 41 | :func:`required_input_array_size`. 42 | Returns: 43 | A 1-D array (:obj:`numpy.ndarray`) representing the required input 44 | tensor shape. 45 | """ 46 | return self._tfengine.input_details[0]['shape'] 47 | 48 | 49 | def tf_interpreter(self): 50 | return self._tfengine._tf_interpreter 51 | 52 | 53 | def thumbnail(self, image=None, desired_size=None): 54 | """Resizes original image as close as possible to desired size. 55 | Preserves aspect ratio of original image. 56 | Does not modify the original image. 57 | :Parameters: 58 | ---------- 59 | image : PIL.Image 60 | Input Image for AI model detection. 61 | desired_size : (width, height) 62 | Size expected by the AI model. 63 | :Returns: 64 | ------- 65 | PIL.Image 66 | Resized image fitting for the AI model input tensor. 67 | """ 68 | assert image 69 | assert desired_size 70 | log.debug('input image size = %r', image.size) 71 | thumb = image.copy() 72 | w, h = desired_size 73 | try: 74 | # convert from numpy to native Python int type 75 | # that PIL expects 76 | if isinstance(w, np.generic): 77 | w = w.item() 78 | w = int(w) 79 | h = h.item() 80 | h = int(h) 81 | thumb.thumbnail((w, h)) 82 | except Exception as e: 83 | msg = (f"Exception in " 84 | f"PIL.image.thumbnail(desired_size={desired_size}):" 85 | f"type(width)={type(w)}, type(height)={type(h)}" 86 | f"\n{e}" 87 | ) 88 | log.exception(msg) 89 | raise RuntimeError(msg) 90 | log.debug('thmubnail image size = %r', thumb.size) 91 | return thumb 92 | 93 | 94 | def resize(self, image=None, desired_size=None): 95 | """Pad original image to exact size expected by input tensor. 96 | Preserve aspect ratio to avoid confusing the AI model with 97 | unnatural distortions. Pad the resulting image 98 | with solid black color pixels to fill the desired size. 99 | Do not modify the original image. 100 | :Parameters: 101 | ---------- 102 | image : PIL.Image 103 | Input Image sized to fit an input tensor but without padding. 104 | Its possible that one size fits one tensor dimension exactly 105 | but the other size is smaller than 106 | the input tensor other dimension. 107 | desired_size : (width, height) 108 | Exact size expected by the AI model. 109 | :Returns: 110 | ------- 111 | PIL.Image 112 | Resized image fitting exactly the AI model input tensor. 113 | """ 114 | assert image 115 | assert desired_size 116 | log.debug('input image size = %r', image.size) 117 | thumb = image.copy() 118 | delta_w = desired_size[0] - thumb.size[0] 119 | delta_h = desired_size[1] - thumb.size[1] 120 | padding = (0, 0, delta_w, delta_h) 121 | new_im = ImageOps.expand(thumb, padding) 122 | log.debug('new image size = %r', new_im.size) 123 | assert new_im.size == desired_size 124 | return new_im 125 | 126 | 127 | @abstractmethod 128 | def execute_model(self, img): 129 | ''' 130 | Execute Pose Estimation Model. 131 | ''' -------------------------------------------------------------------------------- /src/pipeline/posenet_model.py: -------------------------------------------------------------------------------- 1 | from src.pipeline.pose_base import AbstractPoseModel 2 | import numpy as np 3 | import time 4 | 5 | class Posenet_MobileNet(AbstractPoseModel): 6 | '''The class for pose estimation using Posenet Mobilenet implementation.''' 7 | 8 | def __init__(self, tfengine): 9 | super().__init__(tfengine) 10 | 11 | 12 | def sigmoid(self, x): 13 | return 1 / (1 + np.exp(-x)) 14 | 15 | 16 | def parse_output(self, heatmap_data, offset_data): 17 | ''' 18 | Parse Output of TFLite model and get keypoints with score. 19 | ''' 20 | 21 | joint_num = heatmap_data.shape[-1] 22 | pose_kps = np.zeros((joint_num, 3), np.float32) 23 | 24 | for i in range(heatmap_data.shape[-1]): 25 | 26 | joint_heatmap = heatmap_data[..., i] 27 | max_val_pos = np.squeeze( 28 | np.argwhere(joint_heatmap == np.max(joint_heatmap))) 29 | remap_pos = np.array(max_val_pos/8*self._tensor_image_height, 30 | dtype=np.int32) 31 | pose_kps[i, 0] = int(remap_pos[0] + offset_data[max_val_pos[0], 32 | max_val_pos[1], i]) 33 | pose_kps[i, 1] = int(remap_pos[1] + offset_data[max_val_pos[0], 34 | max_val_pos[1], i+joint_num]) 35 | max_prob = np.max(joint_heatmap) 36 | 37 | pose_kps[i,2] = self.sigmoid(max_prob) 38 | 39 | 40 | return pose_kps 41 | 42 | 43 | def execute_model(self, img): 44 | ''' Run TFLite model. 45 | 46 | :Parameters: 47 | ---------- 48 | img: PIL.Image 49 | Input Image for AI model detection. 50 | :Returns: 51 | ------- 52 | kps: 53 | A list of Pose objects with keypoints and confidence scores 54 | template_image: PIL.Image 55 | Input resized image. 56 | thumbnail: PIL.Image 57 | Thumbnail input image 58 | _inference_time: float 59 | Model inference time in seconds 60 | ''' 61 | 62 | _tensor_input_size = (self._tensor_image_width, 63 | self._tensor_image_height) 64 | 65 | # thumbnail is a proportionately resized image 66 | thumbnail = self.thumbnail(image=img, 67 | desired_size=_tensor_input_size) 68 | 69 | # convert thumbnail into an image with the exact size 70 | # as the input tensor preserving proportions by padding with 71 | # a solid color as needed 72 | template_image = self.resize(image=thumbnail, 73 | desired_size=_tensor_input_size) 74 | 75 | start_time = time.process_time() 76 | 77 | template_input = np.expand_dims(template_image.copy(), axis=0) 78 | floating_model = self._tfengine.input_details[0]['dtype'] == np.float32 79 | 80 | if floating_model: 81 | template_input = (np.float32(template_input) - 127.5) / 127.5 82 | 83 | self.tf_interpreter().\ 84 | set_tensor(self._tfengine.input_details[0]['index'], 85 | template_input) 86 | self.tf_interpreter().invoke() 87 | 88 | template_output_data = self.tf_interpreter().\ 89 | get_tensor(self._tfengine.output_details[0]['index']) 90 | template_offset_data = self.tf_interpreter().\ 91 | get_tensor(self._tfengine.output_details[1]['index']) 92 | 93 | template_heatmaps = np.squeeze(template_output_data) 94 | template_offsets = np.squeeze(template_offset_data) 95 | 96 | kps = self.parse_output(template_heatmaps, template_offsets) 97 | 98 | _inference_time = time.process_time() - start_time 99 | 100 | return kps, template_image, thumbnail, _inference_time -------------------------------------------------------------------------------- /src/setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | name = falldetect 3 | version = 1.0.9 4 | author = Bhavika Kanani, Ivelin Ivanov 5 | author_email = bhavika@softmaxai.com, ivelin.ivanov@ambianic.ai 6 | description = Standalone Python ML library for people fall detection based on Tensorflow and PoseNet 2.0. 7 | long_description = file: README.md 8 | long_description_content_type = text/markdown 9 | url = https://ambianic.ai 10 | license = Apache Software License 2.0 11 | classifiers = 12 | Development Status :: 4 - Beta 13 | Programming Language :: Python :: 3 14 | License :: OSI Approved :: Apache Software License 15 | Operating System :: OS Independent 16 | Topic :: Software Development :: Embedded Systems 17 | Intended Audience :: Developers 18 | 19 | [options] 20 | packages = find: 21 | python_requires = >=3.7 22 | 23 | -------------------------------------------------------------------------------- /src/setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import setup 2 | setup() 3 | -------------------------------------------------------------------------------- /tests/pipeline/background.jpg: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /tests/run-tests.sh: -------------------------------------------------------------------------------- 1 | 2 | # verbose mode, exit on error 3 | set -ex 4 | 5 | # parse command line arguments 6 | # while getopts ":u" flag 7 | # do 8 | # case "${flag}" in 9 | # u) upload_codecov=true;; 10 | # esac 11 | # done 12 | 13 | # if [ "$upload_codecov" = true ] ; then 14 | # echo 'Code coverage upload flag set. Will upload report to codecov.io' 15 | # fi 16 | 17 | pip3 install -U pytest # unit test tool 18 | pip3 install -U codecov # code coverage tool 19 | pip3 install -U pytest-cov # coverage plugin for pytest 20 | pip3 install -U pylint # python linter 21 | # pip3 install -U dynaconf 22 | BASEDIR=$(dirname $0) 23 | 24 | echo "Script location: ${BASEDIR}" 25 | # change work dir location to a predictable place 26 | # where codecov can find the generated reports 27 | cd $BASEDIR/../ 28 | echo PWD=$PWD 29 | # python3 -m pytest --cov-report=xml --cov-report=term tests/ 30 | python3 -m pytest --log-cli-level=DEBUG --cov=./ --cov-report=xml --cov-report=term tests/ 31 | # if -u command line argument is passed, submit code coverage report to codecov.io 32 | # parse command line arguments 33 | # if [ "$upload_codecov" = true ] ; then 34 | # echo 'Uploading code coverage report to codecov.io' 35 | # codecov 36 | # fi 37 | 38 | 39 | # detect effective CPU architecture 40 | if [[ ${ARCH} == *"amd64"* ]]; then 41 | bash <(curl -s https://codecov.io/bash) 42 | fi 43 | 44 | -------------------------------------------------------------------------------- /tests/test_fall_prediction.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import os 3 | sys.path.append(os.path.abspath('.')) 4 | 5 | from PIL import Image 6 | from fall_prediction import Fall_prediction 7 | 8 | def _get_image(file_name=None): 9 | assert file_name 10 | 11 | img = Image.open(file_name) 12 | return img 13 | 14 | 15 | def test_fall_detetcion_with_two_images_case_1(): 16 | "Expected to not detect a fall with two consecutive frames" 17 | 18 | img1 = _get_image(file_name='Images/fall_img_1.png') 19 | img2 = _get_image(file_name='Images/fall_img_2.png') 20 | 21 | result = Fall_prediction(img1, img2) 22 | 23 | assert result is None 24 | 25 | def test_fall_detetcion_with_two_images_case_2(): 26 | "Expected to detect a fall with two consecutive frames" 27 | 28 | img1 = _get_image(file_name='Images/fall_img_1.png') 29 | img2 = _get_image(file_name='Images/fall_img_3.png') 30 | 31 | result = Fall_prediction(img1, img2) 32 | 33 | assert result 34 | 35 | confidence = result['confidence'] 36 | angle = result['angle'] 37 | keypoint_corr = result['keypoint_corr'] 38 | 39 | assert keypoint_corr 40 | assert confidence > 0.3 41 | assert angle > 60 42 | 43 | 44 | def test_fall_detetcion_with_three_images_case_1(): 45 | """ 46 | Expected to detect a fall from the first and third frame by given three consecutive frames. 47 | """ 48 | 49 | img1 = _get_image(file_name='Images/fall_img_1.png') 50 | img2 = _get_image(file_name='Images/fall_img_2.png') 51 | img3 = _get_image(file_name='Images/fall_img_3.png') 52 | 53 | result = Fall_prediction(img1, img2, img3) 54 | 55 | assert result 56 | 57 | confidence = result['confidence'] 58 | angle = result['angle'] 59 | keypoint_corr = result['keypoint_corr'] 60 | 61 | assert keypoint_corr 62 | assert confidence > 0.3 63 | assert angle > 60 64 | 65 | def test_fall_detetcion_with_three_images_case_2(): 66 | """ 67 | Expected to detect a fall from the first and second frame by given three consecutive frames. 68 | """ 69 | img1 = _get_image(file_name='Images/fall_img_1.png') 70 | img2 = _get_image(file_name='Images/fall_img_3.png') 71 | img3 = _get_image(file_name='Images/fall_img_4.png') 72 | 73 | result = Fall_prediction(img1, img2, img3) 74 | 75 | assert result 76 | 77 | confidence = result['confidence'] 78 | angle = result['angle'] 79 | keypoint_corr = result['keypoint_corr'] 80 | 81 | assert keypoint_corr 82 | assert confidence > 0.3 83 | assert angle > 60 84 | 85 | 86 | def test_fall_detetcion_with_three_images_case_3(): 87 | """ 88 | Expected to detect a fall from the second and third frame by given three consecutive frames. 89 | """ 90 | 91 | img1 = _get_image(file_name='Images/background.jpg') 92 | img2 = _get_image(file_name='Images/fall_img_8.png') 93 | img3 = _get_image(file_name='Images/fall_img_9.png') 94 | 95 | result = Fall_prediction(img1, img2, img3) 96 | 97 | assert result 98 | 99 | confidence = result['confidence'] 100 | angle = result['angle'] 101 | keypoint_corr = result['keypoint_corr'] 102 | 103 | assert keypoint_corr 104 | assert confidence > 0.3 105 | assert angle > 60 106 | 107 | def test_fall_detetcion_with_three_images_case_4(): 108 | "Expected to not detect a fall with three consecutive frames" 109 | 110 | img1 = _get_image(file_name='Images/background.jpg') 111 | img2 = _get_image(file_name='Images/fall_img_5.png') 112 | img3 = _get_image(file_name='Images/fall_img_6.png') 113 | 114 | result = Fall_prediction(img1, img2, img3) 115 | 116 | assert result is None 117 | 118 | -------------------------------------------------------------------------------- /tmp/20210430-115918.yaml: -------------------------------------------------------------------------------- 1 | angle: 69.17818735314414 2 | category: FALL 3 | confidence: 0.8991963234324727 4 | keypoint_corr: 5 | left hip: 6 | - 135.0 7 | - 128.0 8 | left shoulder: 9 | - 104.0 10 | - 113.0 11 | right hip: 12 | - 138.0 13 | - 127.0 14 | right shoulder: 15 | - 95.0 16 | - 112.0 17 | -------------------------------------------------------------------------------- /videos/video_1.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ambianic/fall-detection/30a050f9761ba5f019e7f83b497e9db8b80ff2f0/videos/video_1.mp4 -------------------------------------------------------------------------------- /videos/video_2.mp4: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ambianic/fall-detection/30a050f9761ba5f019e7f83b497e9db8b80ff2f0/videos/video_2.mp4 -------------------------------------------------------------------------------- /videos/video_3.mp4: -------------------------------------------------------------------------------- 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