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  • U: Anonymous
  • D: 2022-04-02 11:25:20
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03.34-scaling_transformation_algorithm(recap).mkv [e7a29fa310b851c] 42,362,373 34F149E1
03.35-exam.mkv [e9c6b4a0bff1e18f] 52,423,589 2C8CB7F3
03.36-exam_solution_01.mkv [a3481c04ebe5e03] 61,469,342 1D50871A
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04.02-optional_rotation_is_linear_transform_proof.mkv [c0059194901763ba] 47,120,430 B27A503C
04.03-rotation_can_result_negative_coordinates_(problem).mkv [660bf51f1a866444] 29,422,501 AE03CC35
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04.05-rotation_index_shifting.mkv [fc7fce35a8c0796b] 83,694,162 6DCB592C
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04.28-affine_transformation_implementation.mkv [e26c696e310ca341] 86,997,618 B1AFEC16
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04.31-rotation_about_any_point_implementation.mkv [ea33e1e68031128f] 81,575,932 337C9DB9
04.32-reflection_about_a_line_quiz.mkv [d8a4cc6140b4695c] 23,088,889 1464B126
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04.38-projective_transformation_homography.mkv [d6766a7cbb9e3e55] 36,894,744 58C25152
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05.02-affine_transformation_estimation_introduction.mkv [d7c1b177017e5912] 36,732,374 FCA07E64
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05.04-solution_(affine_transformation_estimation_introduction).mkv [813b3e9cfd6342ac] 27,398,337 82A32E51
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05.07-affine_transformation_min_number_of_points_needed.mkv [983ef0fd4a8746f3] 63,551,532 DBFB9B32
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05.15-solution_(affine_transformation_estimation_with_more_than_three_points_implementation).mkv [41885fc0b4edf0da] 22,119,445 2E7C97C8
05.16-optional_affine_transformation_estimation_with_leastsquared.mkv [2a8bf0119ecde655] 54,761,742 A220DC34
05.17-projective_transformation_estimation_introduction.mkv [f1785f0dad23ae4a] 53,541,238 A28E1559
05.18-projective_transformation_estimation_first_implementation_having_bug.mkv [fbe57ed4260cc6b4] 64,763,813 387E0881
05.19-projective_transformation_estimation_reason_of_the_bug.mkv [db06fc579d69905a] 79,884,840 E181E315
05.20-projective_transformation_estimation_removing_scale_factor.mkv [fb8d2c40a9e3d3b7] 67,225,044 3E7619D1
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05.23-projective_transformation_estimation_dlt_nullspace_implementation.mkv [15ef7275cc974660] 55,444,933 B4755A58
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05.25-quiz_(dlt_implementation).mkv [35074bbada2f8a7b] 9,614,560 2BD234CA
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05.28-how_projective_transformation_helps_in_panorama.mkv [e7425e5eb84d7421] 49,001,371 E6EC9BD9
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06.03-structuring_element_kernel_and_sliding_window_theory.mkv [e6cf45ac8a151bc5] 59,756,519 B58AC1FB
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06.05-erosion_theory.mkv [f7f02c7e483235ef] 60,081,130 067BC4C5
06.06-quiz_01_(erosion_theory).mkv [91cae181918916e1] 9,137,915 8CA759E5
06.07-solution_01_(erosion_theory).mkv [35c2c91b6f4f40b1] 11,693,757 98538805
06.08-quiz_02_(erosion_theory).mkv [59888544d655403a] 13,511,828 8C3AF1EB
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06.10-erosion_python.mkv [53a9dbe33125f5a2] 65,382,525 500D2325
06.11-dilation_theory.mkv [b37c110cb1e0d3d1] 22,459,060 A1BDA0B5
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06.13-solution_01_(dilation_theory).mkv [556cc47502df3212] 11,964,558 7B2C6BFD
06.14-quiz_02_(dilation_theory).mkv [4111dcdfe8d4a131] 13,411,953 1143D941
06.15-solution_02_(dilation_theory).mkv [c8fd28c2605e829b] 8,042,715 E4F06B79
06.16-dilation_python.mkv [2274ed92bc27d90a] 41,002,552 043CF713
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07.10-low_pass_high_pass_and_band_pass_filters.mkv [13c4db61af10ffc] 38,760,678 9AE8AAA0
08.01-canny_edge_detector_algorithm_introduction.mkv [a374b8dce9a64eb1] 53,213,681 03373362
08.02-canny_edge_detector_opencv.mkv [b682de2e6fe9d04c] 34,542,994 BD0509C4
08.03-quiz_(canny_edge_detector_opencv).mkv [45497942da868b61] 12,221,957 EB644AAC
08.04-solution_(canny_edge_detector_opencv).mkv [4b8818c4beeb6f36] 16,202,655 0F9AAFC3
08.05-gaussian_filter_introduction.mkv [7e09f70ea1066bc6] 41,758,235 EF4333D8
08.06-gaussian_filter_to_mask_computation.mkv [8dd4e435f5e4dce3] 81,491,500 27E94C0A
08.07-gaussian_filter_window_size.mkv [24d110d45a953c32] 78,685,294 AFBDB89D
08.08-gaussian_filter_implementation.mkv [554243be089ca73b] 110,740,012 EE58D97E
08.09-quiz_(gaussian_filter_implementation).mkv [d6b9b56fc10f39e1] 10,495,459 795F25A6
08.10-solution_(gaussian_filter_implementation).mkv [8c1c80f18c13573b] 33,514,404 E421CE3A
08.11-gaussian_filter_smoothing_implementation.mkv [597127f6dd8694ef] 42,759,856 FFBE6D0D
08.12-quiz_(gaussian_filter_smoothing_implementation).mkv [70f2d5f6765bbd69] 9,841,055 5305E3E1
08.13-solution_(gaussian_filter_smoothing_implementation).mkv [6bc07d217c9921d3] 22,291,118 2985B735
08.14-image_gradients_theory.mkv [552578bf78d8c91e] 28,038,249 4E032FE3
08.15-image_gradients_implementation.mkv [14e31e4e536748e5] 59,564,854 C3B1973E
08.16-image_gradients_implementation_datatype_bug.mkv [16801944d93cf5fe] 44,337,602 04B910FF
08.17-derivative_of_gaussian.mkv [bbe8c3c0d7b5c115] 61,893,284 B9F4AACB
08.18-derivative_of_gaussian_expression.mkv [86a796f4afd3cbab] 31,616,482 25F8646C
08.19-derivative_of_gaussian_implementation.mkv [4b52b0bd011d36e2] 41,515,831 F312631F
08.20-applying_dog_filters.mkv [1f2de9e1256c1ce4] 31,366,804 F1AC62BD
08.21-gradient_vector.mkv [d69fbc05faa63bca] 43,662,977 FB7929C3
08.22-gradient_magnitude_and_gradient_direction.mkv [f019e072d2cfa60d] 56,127,829 A3CEB10B
08.23-non-maxima_suppression.mkv [c6f68940359ce32a] 34,205,594 B4B79665
08.24-gradient_direction_quantization.mkv [1d2d1a60956107d] 47,239,067 D2ABCF4E
08.25-quiz_(gradient_direction_quantization).mkv [be7e1988ae0822be] 7,719,350 96C78C5E
08.26-solution_(gradient_direction_quantization).mkv [df10f34dfc0f88f7] 22,911,412 FD12BA53
08.27-gradient_direction_quantization_implementation.mkv [674676ef8a6d4043] 70,555,540 BE434F77
08.28-gradient_direction_quantization_implementation_better_way.mkv [c61428c4b3554f6e] 40,115,277 075472B2
08.29-nms_implementation.mkv [167ae04c6763c8bd] 99,051,533 4918E165
08.30-quiz_01_(nms_implementation).mkv [1f24d384016dfd3b] 14,186,511 CDEB2F9F
08.31-solution_01_(nms_implementation).mkv [1a524cc7c6f2b96a] 16,848,625 C74F5631
08.32-quiz_02_(nms_implementation).mkv [2220bc5d10b9a6cb] 9,264,678 6982C588
08.33-solution_02_(nms_implementation).mkv [6d5704c1c08f3bc6] 23,745,601 E9E3EEAE
08.34-last_step_thresholding.mkv [baf948f5aff95ee3] 13,234,121 70942BD6
08.35-hysteresis_thresholding.mkv [1b2cf3452d161d41] 39,087,643 289BE7B5
08.36-hysteresis_thresholding_implementation.mkv [d416eb442ef9f5bc] 33,982,066 EE31060C
09.01-shape_detection_introduction.mkv [2968d264aba745d1] 35,356,390 7936C7DC
09.02-why_edge_detection_is_not_enough.mkv [5eaf937e6154dcc9] 25,363,791 A5F95CFB
09.03-ransac_introduction.mkv [5cbff5b98568b5aa] 35,733,297 4132A6F0
09.04-ransac_for_lines_coordinate_arrays.mkv [4c8e6fe1fa643919] 23,247,640 B83B919D
09.05-ransac_for_lines_sampling_points_randomly_implementation.mkv [75db360a97c322be] 57,568,122 8C3743E3
09.06-quiz_(ransac_for_lines_sampling_points_randomly_implementation).mkv [ddcfda2eeb23ce9d] 8,116,334 9520D4C1
09.07-solution_(ransac_for_lines_sampling_points_randomly_implementation).mkv [873fb338c4e71f0d] 9,547,791 E8C679DF
09.08-ransac_for_lines-fitting_line_with_two_points.mkv [56e2ea60b1b5c7eb] 57,660,706 0876ECE7
09.09-ransac_for_lines-fitting_line_with_two_points_implementation.mkv [9b9d9cd208a9c0fd] 92,896,445 84FE1286
09.10-quiz_(ransac_for_lines_fitting_line_with_two_points_implementation).mkv [7c0314d48f4ff149] 10,545,727 BB0E80DF
09.11-solution_(ransac_for_lines_fitting_line_with_two_points_implementation).mkv [ecff5b830a0a311e] 18,880,326 D85DBB77
09.12-ransac_for_lines_computing_consistency_score.mkv [56304526b85628a7] 53,158,810 3B72A934
09.13-ransac_for_lines_computing_consistency_score_implementation.mkv [dc849b333508988f] 34,711,618 146C9754
09.14-ransac_for_lines_implementation.mkv [9b3e07febe9d7da] 56,103,584 CAD53CE3
09.15-ransac_for_lines_implementation_test_on_real_image.mkv [994b8583cbf8c78a] 57,927,301 13B504BE
09.16-drawback.mkv [974ebf026735a9a3] 16,060,930 F3073C48
09.17-ransac_for_lines_implementation_test_on_real_image_drawing_and_quiz.mkv [4733f65ef2ed1e1d] 119,310,186 2889C6EC
09.18-ransac_for_circles.mkv [b08e00529d984000] 45,706,211 E246E6CB
09.19-ransac_for_circles_consistency_score.mkv [b6a1987bf7315cc5] 43,965,986 3A16FCCF
09.20-ransac_for_circles_implementation.mkv [d28a00e3bad25129] 35,439,737 C45BE552
09.21-ransac_for_circles_implementation_real_image.mkv [e2a12ceaccf8fa8f] 37,796,107 8DF1E1BF
09.22-drawback.mkv [6a982ce2b7867af1] 10,856,911 7278F891
09.23-ransac_for_circles_implementation_real_image_drawing.mkv [50677278c4abcfe] 40,545,581 BDAD982C
09.24-ransac_general.mkv [3b1089ae555abbdc] 20,495,347 256F5DB4
09.25-ransac_quiz.mkv [e08ce02683230e8d] 28,783,730 D3E032D0
09.26-ransac_quiz_solution.mkv [e8a8e1e6609379c] 69,686,428 B243A9E6
10.01-hough_transform_introduction.mkv [a255cfd5c9a09b3] 20,838,211 81326FB1
10.02-hough_transform_as_voting.mkv [5d0b4ae750e2cd0b] 36,883,167 E5912EAF
10.03-hough_transform_as_voting_loop.mkv [7784f04ad384999a] 49,663,403 0E60C67C
10.04-hough_transform_polar_representation.mkv [3cccc5789ddc9832] 45,896,206 04E453FE
10.05-hough_transform_polar_representation_benefits.mkv [8022fadb0c5b7882] 40,956,706 79D0DA9C
10.06-hough_transform_polar_representation_implementation.mkv [6f4ca07770f4bc05] 49,711,607 5B93C27D
10.07-hough_transform_lines_implementation_real_image.mkv [9b69a12f416d6edd] 46,622,886 BFD0E973
10.08-hough_transform_lines_parameters_conversion.mkv [5e1eef393f6f3242] 33,936,744 875642BA
10.09-hough_transform_lines_drawing.mkv [84539f2def84b8f1] 33,934,719 747AA213
10.10-solution_(hough_transform_lines_drawing).mkv [7b1a020c4f29a948] 38,117,035 FDE24FF3
10.11-hough_transform_fast_version.mkv [38b28f85bfc2b396] 25,452,869 FEE4ABBE
10.12-hough_transform_circles.mkv [f10c3a8eed9d6226] 29,710,727 FBB1DF87
10.13-hough_transform_circles_implementation.mkv [3bfcc81f9e05028d] 38,585,320 F4547A69
10.14-hough_transform_circles_implementation_drawing.mkv [6293b189f79cfec1] 70,778,813 FEF799D3
10.15-solution_(hough_transform_circles_implementation_drawing).mkv [7302764895082b2f] 28,174,514 D0DF4BF1
11.01-corner_definition.mkv [592ccc3a1cccca4b] 39,339,233 A48D1086
11.02-why_corner.mkv [5e23e524e2af0052] 111,111,534 A5715820
11.03-corner_measure.mkv [3f4be76108b5972f] 36,252,631 211054BD
11.04-ssd.mkv [133e11382f1ee2d4] 46,379,815 3E66618F
11.05-why_ssd_to_be_muted_somewhere.mkv [8d7a5bc88cc693c3] 50,972,004 EF25AF33
11.06-corner_detection_implementation_01.mkv [c7eb7ee7c042443a] 58,894,194 08899043
11.07-corner_detection_implementation_02.mkv [575a19f33c23ab8f] 104,392,177 270E514E
11.08-corner_detection_implementation_03.mkv [123cdfc6f90f42bd] 92,067,021 BD1CE178
11.09-moravec_corner_detector.mkv [d8b7db7ac3bdbea] 25,682,274 93097A7E
11.10-scale_space.mkv [843487f8a5bb1fa2] 82,011,210 1F4A594B
11.11-infinite_directions_towards_harris_corner_detector.mkv [1957b164124a9d11] 67,528,385 122046E9
11.12-harris_corner_detector_01.mkv [39178caf574f217] 49,761,032 9FAC6946
11.13-harris_corner_detector_02.mkv [7985066d07354f93] 66,820,699 23E7E32C
11.14-harris_corner_detector_03.mkv [c5765883d9554157] 45,012,408 56EDBB20
11.15-harris_corner_detector_04_structure_tensor.mkv [5b7ee855e52a22e5] 50,280,406 8C452C71
11.16-harris_corner_detector_05_final_expression.mkv [4f69c554bd6f5b6f] 49,049,868 B1EFDA44
11.17-harris_corner_detector_implementation_speedup_convolution.mkv [5f868c11ec628bbe] 33,254,149 5D7E3F73
11.18-harris_corner_detector_implementation_01.mkv [837fe35b728d5976] 41,016,948 067025D8
11.19-harris_corner_detector_implementation_02.mkv [fb7aa34d667f9d3c] 80,904,667 C2A7DEC1
11.20-harris_corner_detector_as_edge_detector.mkv [b8e0f00a70d6ef49] 39,641,879 85361299
12.01-point_correspondence_introduction.mkv [7e0e995743947682] 54,055,373 0EC32A47
12.02-point_drawing_implementation.mkv [7b410dedd892e57a] 105,893,509 16D079AF
12.03-scale_and_orientation_alignment.mkv [bb81b3634d0197b2] 101,120,581 849FC351
12.04-sift_and_hog.mkv [443f60e1bdeb3fa1] 95,614,980 F1EA3458
12.05-points_matching.mkv [db78fd88a35dd302] 108,403,073 56FA82A6
13.01-introduction_to_object_detection.mkv [ec19d014c50cccee] 59,842,245 06071A4F
13.02-classification_pipeline.mkv [f90bfe5340a254a3] 70,523,556 9AD8381A
13.03-sliding_window_implementation.mkv [dcc100ead6dfca6d] 52,391,627 4BED2EAE
13.04-shift_scale_rotation_invariance.mkv [262ca837df240be] 112,446,175 EDC50CD6
13.05-person_detection.mkv [6c5dbe01b8fd5530] 121,445,279 0D78EFC5
13.06-hog_features.mkv [2c315587842979aa] 85,859,562 C5860426
13.07-hand_engineering_versus_cnns.mkv [3db2bf5d6b9ebd5f] 89,021,693 13F7AFB7
13.08-implementation.mkv [670485060aacb30d] 141,861,978 275A5917
13.09-activity.mkv [8b513e79dd89032d] 44,053,046 AB95BCF9
14.01-cnns_introduction.mkv [83f9c5773945445] 33,280,796 F34954ED
14.02-face_detection_implementation.mkv [b571f3e5953dd85a] 78,254,288 F069ADDD
14.03-yolo_implementation.mkv [292c6738b5109cad] 132,560,150 7259574E
14.04-yolo_image_classification_revisited.mkv [c64b51e189b15cee] 50,098,187 80C5312D
14.05-yolo_sliding_window_object_localization.mkv [f871c711de7cbd6c] 79,567,217 24CDEF35
14.06-yolo_sliding_window_efficient_implementation.mkv [8e464697d23b132b] 72,230,678 D05743B7
14.07-yolo_introduction.mkv [d0bfd58d6abba0a8] 92,800,055 4F55B61F
14.08-yolo_training_data_generation.mkv [caf13905f8755e05] 63,593,776 4A8B4606
14.09-yolo_anchor_boxes.mkv [f6391b3e750fbec7] 95,457,081 566BE712
14.10-yolo_algorithm.mkv [63e76e9f39967fb] 71,113,373 C03D6AAF
14.11-yolo_non-maxima_suppression.mkv [f3940870f5a883ab] 89,479,113 ED144640
14.12-yolo_rcnn.mkv [354a650dcf16ff59] 33,832,097 C631ABF3
15.01-optical_flow.mkv [aa46d0a5fa7afddc] 64,230,732 77CD9F90
15.02-bc_assumption.mkv [5462ba5f7b921220] 51,867,561 AB311EC7
15.03-optical_flow_derivation.mkv [8137d6343382a7f2] 72,903,650 FF02165A
16.01-tracking_by_detection.mkv [1d862c954a0c6479] 48,658,219 716811EF
16.02-tracking_by_detection_motion_model_assumption.mkv [7d12dd4bb7271940] 32,988,100 897348C7
16.03-tracking_klt_tld.mkv [d70e75b481a783dc] 54,114,343 C41F5C8B
16.04-single_object_tracking.mkv [93ea241b8ca047ec] 221,979,865 194F7283
16.05-multiple_object_tracking.mkv [8bdde3830bb48cdf] 144,995,146 BC016E0A
16.06-webcam_and_saving_annotations_of_multiple_object_tracking.mkv [75661ba3fe5c6b81] 151,024,436 7072B6DA
17.01-3d_reconstruction_introduction.mkv [4fd3364141cd9545] 28,257,231 EC4B85D2
17.02-3d_motion_capture.mkv [33ea6e3145bae952] 40,470,327 426D2DC8
17.03-camera.mkv [f3bafc00894dae28] 33,808,980 D3D0A560
17.04-camera_matrix.mkv [d890419168b05e82] 50,870,209 33F8644F
17.05-triangulation.mkv [ecd1bbaffedeb0bd] 48,663,104 4170A650
17.06-camera_matrix_estimation.mkv [9be552a9cf488970] 42,774,431 F0502BBE
17.07-mocap_revisited.mkv [e034a35e8c3c5cc4] 23,559,148 44BA4BF7
18.01-introduction_to_the_project.mkv [d8bfa8c55c7ac61c] 107,623,342 C91D65EF
18.02-introduction_to_data.mkv [8d70dcc7e71004c6] 153,253,149 5D2197F1
18.03-reading_a_video_file.mkv [d880291ec505f9ce] 75,286,636 2D268018
18.04-change_detection_frame_differencing.mkv [e329d597625cdb0] 47,726,678 2F6B60FB
18.05-change_detection_frame_differencing_implementation.mkv [af1747295ce7aec0] 71,373,690 8784125B
18.06-change_detection_background_subtraction.mkv [8ee52e8c644ac726] 68,737,753 06C05145
18.07-change_detection_background_subtraction_mog.mkv [5ca3209940bd0dd5] 99,073,414 C3176025
18.08-denoising_using_morphology.mkv [599ce52d62664c49] 129,922,911 2B601F39
18.09-connected_components.mkv [8ebe0ffd59af418f] 31,486,476 69E679C0
18.10-connected_components_filtering.mkv [3eeae7428dd5b502] 187,167,951 A9E1F616
18.11-tracking_change.mkv [e2bf0772525f06e2] 77,734,235 62750A2A
18.12-saving_segments.mkv [d0a02e73ae575a9a] 115,244,194 FD297D49
18.13-saving_and_viewing_segments.mkv [93b18ddf4ee51c0d] 255,361,450 CD43DF13
18.14-saving_and_viewing_segments_with_object_detection.mkv [ecda3683f37ad72] 160,536,405 1190AAAD
18.15-applications.mkv [df8f3b7d185b5fdb] 49,184,615 FD01955C
9781801815949_Code.zip 105,957,962 64BA8820
Total size: 17,319,975,067
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