Please provide the following information when requesting support.
• Hardware T4
• Network Type Detectnet_v2
• Training spec file(This gave the best results)
random_seed: 42
dataset_config {
data_sources {
tfrecords_path: “/shared/users/3ce93a7c-0889-537e-8991-7d76b64a7194/datasets/1dc8724f-92cc-4cdf-84cc-be752286a711/tfrecords/"
image_directory_path: “/shared/users/3ce93a7c-0889-537e-8991-7d76b64a7194/datasets/1dc8724f-92cc-4cdf-84cc-be752286a711/”
}
image_extension: “jpg”
target_class_mapping {
key: “face”
value: “face”
}
target_class_mapping {
key: “person”
value: “person”
}
validation_data_source {
tfrecords_path: "/shared/users/3ce93a7c-0889-537e-8991-7d76b64a7194/datasets/d07bc44b-9824-479c-a946-da65d24fe5ca/tfrecords/”
image_directory_path: “/shared/users/3ce93a7c-0889-537e-8991-7d76b64a7194/datasets/d07bc44b-9824-479c-a946-da65d24fe5ca/”
}
}
augmentation_config {
preprocessing {
output_image_width: 960
output_image_height: 544
min_bbox_width: 1.0
min_bbox_height: 1.0
output_image_channel: 3
}
spatial_augmentation {
hflip_probability: 0.5
zoom_min: 1.0
zoom_max: 1.0
translate_max_x: 8.0
translate_max_y: 8.0
}
color_augmentation {
hue_rotation_max: 25.0
saturation_shift_max: 0.20000000298023224
contrast_scale_max: 0.10000000149011612
contrast_center: 0.5
}
}
postprocessing_config {
target_class_config {
key: “face”
value {
clustering_config {
coverage_threshold: 0.007499999832361937
minimum_bounding_box_height: 20
dbscan_eps: 0.23000000417232513
dbscan_min_samples: 1
dbscan_confidence_threshold: 0.7200000286102295
nms_iou_threshold: 0.20000000298023224
}
}
}
target_class_config {
key: “person”
value {
clustering_config {
coverage_threshold: 0.007499999832361937
minimum_bounding_box_height: 20
dbscan_eps: 0.23000000417232513
dbscan_min_samples: 1
dbscan_confidence_threshold: 0.10000000149011612
nms_iou_threshold: 0.20000000298023224
}
}
}
}
model_config {
pretrained_model_file: “/shared/users/3ce93a7c-0889-537e-8991-7d76b64a7194/models/86b93c2e-70a1-42bb-aa1d-d0e1349c4adc/peoplenet_vtrainable_v2.6/resnet34_peoplenet.tlt”
num_layers: 34
use_batch_norm: true
objective_set {
bbox {
scale: 35.0
offset: 0.5
}
cov {
}
}
arch: “resnet”
}
evaluation_config {
validation_period_during_training: 1
first_validation_epoch: 1
minimum_detection_ground_truth_overlap {
key: “face”
value: 0.5
}
minimum_detection_ground_truth_overlap {
key: “person”
value: 0.5
}
evaluation_box_config {
key: “face”
value {
minimum_height: 20
maximum_height: 9999
minimum_width: 10
maximum_width: 9999
}
}
evaluation_box_config {
key: “person”
value {
minimum_height: 20
maximum_height: 9999
minimum_width: 10
maximum_width: 9999
}
}
}
cost_function_config {
target_classes {
name: “person”
class_weight: 4.0
coverage_foreground_weight: 0.05000000074505806
objectives {
name: “cov”
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: “bbox”
initial_weight: 10.0
weight_target: 10.0
}
}
target_classes {
name: “face”
class_weight: 4.0
coverage_foreground_weight: 0.05000000074505806
objectives {
name: “cov”
initial_weight: 1.0
weight_target: 1.0
}
objectives {
name: “bbox”
initial_weight: 10.0
weight_target: 10.0
}
}
enable_autoweighting: true
max_objective_weight: 0.9998999834060669
min_objective_weight: 9.999999747378752e-05
}
training_config {
batch_size_per_gpu: 4
num_epochs: 25
learning_rate {
soft_start_annealing_schedule {
min_learning_rate: 3.5999998999614036e-06
max_learning_rate: 0.0005000000237487257
soft_start: 1.0000000116860974e-07
annealing: 1.0000000116860974e-07
}
}
regularizer {
type: L2
weight: 3.000000026176508e-09
}
optimizer {
adam {
epsilon: 9.99999993922529e-09
beta1: 0.8999999761581421
beta2: 0.9990000128746033
}
}
cost_scaling {
initial_exponent: 20.0
increment: 0.005
decrement: 1.0
}
checkpoint_interval: 1
visualizer {
num_images: 3
infrequent_logging_frequency: 5
}
}
bbox_rasterizer_config {
target_class_config {
key: “face”
value {
cov_center_x: 0.5
cov_center_y: 0.5
cov_radius_x: 1.0
cov_radius_y: 1.0
bbox_min_radius: 1.0
}
}
target_class_config {
key: “person”
value {
cov_center_x: 0.5
cov_center_y: 0.5
cov_radius_x: 1.0
cov_radius_y: 1.0
bbox_min_radius: 1.0
}
}
deadzone_radius: 0.4000000059604645
}
• Status.json file for the training with automl=false:
{“date”: “3/18/2024”, “time”: “5:29:7”, “status”: “STARTED”, “verbosity”: “INFO”, “message”: “Starting DetectNet_v2 Training job”}
{“date”: “3/18/2024”, “time”: “5:29:7”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Training gridbox model.”}
{“date”: “3/18/2024”, “time”: “5:29:7”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Building DetectNet V2 model”}
{“date”: “3/18/2024”, “time”: “5:29:52”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “DetectNet V2 model built.”}
{“date”: “3/18/2024”, “time”: “5:29:52”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Building rasterizer.”}
{“date”: “3/18/2024”, “time”: “5:29:52”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Rasterizers built.”}
{“date”: “3/18/2024”, “time”: “5:29:52”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Building training graph.”}
{“date”: “3/18/2024”, “time”: “5:29:59”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Rasterizing tensors.”}
{“date”: “3/18/2024”, “time”: “5:29:59”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Tensors rasterized.”}
{“date”: “3/18/2024”, “time”: “5:30:2”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Training graph built.”}
{“date”: “3/18/2024”, “time”: “5:30:2”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Building validation graph.”}
{“date”: “3/18/2024”, “time”: “5:30:3”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Rasterizing tensors.”}
{“date”: “3/18/2024”, “time”: “5:30:3”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Tensors rasterized.”}
{“date”: “3/18/2024”, “time”: “5:30:3”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Validation graph built.”}
{“date”: “3/18/2024”, “time”: “5:30:5”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Running training loop.”}
{“epoch”: 0, “max_epoch”: 100, “time_per_epoch”: “0:00:00”, “eta”: “0:00:00”, “date”: “3/18/2024”, “time”: “5:31:31”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.12350214272737503, “learning_rate”: “3.600001e-06”}}
{“epoch”: 1, “max_epoch”: 100, “time_per_epoch”: “0:05:26.528986”, “eta”: “8:58:46.369612”, “date”: “3/18/2024”, “time”: “5:36:36”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0052212937735021114, “learning_rate”: “0.0004759306”}}
{“epoch”: 2, “max_epoch”: 100, “time_per_epoch”: “0:04:54.824014”, “eta”: “8:01:32.753344”, “date”: “3/18/2024”, “time”: “5:41:31”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0048576844856143, “learning_rate”: “0.0004530195”}}
{“epoch”: 3, “max_epoch”: 100, “time_per_epoch”: “0:04:54.802147”, “eta”: “7:56:35.808227”, “date”: “3/18/2024”, “time”: “5:46:26”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.004707717336714268, “learning_rate”: “0.0004312115”}}
{“epoch”: 4, “max_epoch”: 100, “time_per_epoch”: “0:04:54.752106”, “eta”: “7:51:36.202217”, “date”: “3/18/2024”, “time”: “5:51:20”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.004509217571467161, “learning_rate”: “0.00041045295”}}
{“epoch”: 5, “max_epoch”: 100, “time_per_epoch”: “0:04:54.422673”, “eta”: “7:46:10.153888”, “date”: “3/18/2024”, “time”: “5:56:15”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.004182483069598675, “learning_rate”: “0.00039069407”}}
{“epoch”: 6, “max_epoch”: 100, “time_per_epoch”: “0:04:54.160523”, “eta”: “7:40:51.089179”, “date”: “3/18/2024”, “time”: “6:1:9”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0038193000946193933, “learning_rate”: “0.0003718862”}}
{“epoch”: 7, “max_epoch”: 100, “time_per_epoch”: “0:04:54.105846”, “eta”: “7:35:51.843649”, “date”: “3/18/2024”, “time”: “6:6:3”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0035149625036865473, “learning_rate”: “0.00035398392”}}
{“epoch”: 8, “max_epoch”: 100, “time_per_epoch”: “0:04:54.031194”, “eta”: “7:30:50.869889”, “date”: “3/18/2024”, “time”: “6:10:57”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0033179381862282753, “learning_rate”: “0.00033694328”}}
{“epoch”: 9, “max_epoch”: 100, “time_per_epoch”: “0:04:54.015070”, “eta”: “7:25:55.371345”, “date”: “3/18/2024”, “time”: “6:15:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0032990146428346634, “learning_rate”: “0.00032072281”}}
{“epoch”: 10, “max_epoch”: 100, “time_per_epoch”: “0:04:53.937594”, “eta”: “7:20:54.383454”, “date”: “3/18/2024”, “time”: “6:20:45”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0030838842503726482, “learning_rate”: “0.0003052838”}}
{“epoch”: 11, “max_epoch”: 100, “time_per_epoch”: “0:04:53.970156”, “eta”: “7:16:03.343901”, “date”: “3/18/2024”, “time”: “6:25:39”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0028885009232908487, “learning_rate”: “0.0002905874”}}
{“epoch”: 12, “max_epoch”: 100, “time_per_epoch”: “0:04:53.936373”, “eta”: “7:11:06.400803”, “date”: “3/18/2024”, “time”: “6:30:33”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0029576399829238653, “learning_rate”: “0.00027659873”}}
{“epoch”: 13, “max_epoch”: 100, “time_per_epoch”: “0:04:53.657555”, “eta”: “7:05:48.207273”, “date”: “3/18/2024”, “time”: “6:35:26”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.002731648040935397, “learning_rate”: “0.00026328352”}}
{“epoch”: 14, “max_epoch”: 100, “time_per_epoch”: “0:04:53.470560”, “eta”: “7:00:38.468125”, “date”: “3/18/2024”, “time”: “6:40:20”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0028078609611839056, “learning_rate”: “0.00025060904”}}
{“epoch”: 15, “max_epoch”: 100, “time_per_epoch”: “0:04:53.603970”, “eta”: “6:55:56.337475”, “date”: “3/18/2024”, “time”: “6:45:14”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0027474015951156616, “learning_rate”: “0.00023854492”}}
{“epoch”: 16, “max_epoch”: 100, “time_per_epoch”: “0:04:53.789315”, “eta”: “6:51:18.302459”, “date”: “3/18/2024”, “time”: “6:50:7”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0027728599961847067, “learning_rate”: “0.00022706158”}}
{“epoch”: 17, “max_epoch”: 100, “time_per_epoch”: “0:04:53.727452”, “eta”: “6:46:19.378539”, “date”: “3/18/2024”, “time”: “6:55:1”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.002883307170122862, “learning_rate”: “0.00021613082”}}
{“epoch”: 18, “max_epoch”: 100, “time_per_epoch”: “0:04:53.584270”, “eta”: “6:41:13.910140”, “date”: “3/18/2024”, “time”: “6:59:55”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.002710917731747031, “learning_rate”: “0.00020572645”}}
{“epoch”: 19, “max_epoch”: 100, “time_per_epoch”: “0:04:53.911009”, “eta”: “6:36:46.791696”, “date”: “3/18/2024”, “time”: “7:4:49”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0030504981987178326, “learning_rate”: “0.00019582297”}}
{“epoch”: 20, “max_epoch”: 100, “time_per_epoch”: “0:04:53.773967”, “eta”: “6:31:41.917362”, “date”: “3/18/2024”, “time”: “7:9:42”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0027212565764784813, “learning_rate”: “0.00018639604”}}
{“epoch”: 21, “max_epoch”: 100, “time_per_epoch”: “0:04:53.501610”, “eta”: “6:26:26.627193”, “date”: “3/18/2024”, “time”: “7:14:36”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0027916438411921263, “learning_rate”: “0.00017742308”}}
{“epoch”: 22, “max_epoch”: 100, “time_per_epoch”: “0:04:53.497208”, “eta”: “6:21:32.782233”, “date”: “3/18/2024”, “time”: “7:19:29”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.002889100695028901, “learning_rate”: “0.00016888208”}}
{“epoch”: 23, “max_epoch”: 100, “time_per_epoch”: “0:04:53.514034”, “eta”: “6:16:40.580602”, “date”: “3/18/2024”, “time”: “7:24:23”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.003093051491305232, “learning_rate”: “0.00016075208”}}
{“epoch”: 24, “max_epoch”: 100, “time_per_epoch”: “0:04:53.646533”, “eta”: “6:11:57.136473”, “date”: “3/18/2024”, “time”: “7:29:17”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0027831881307065487, “learning_rate”: “0.00015301362”}}
{“epoch”: 25, “max_epoch”: 100, “time_per_epoch”: “0:04:53.588736”, “eta”: “6:06:59.155186”, “date”: “3/18/2024”, “time”: “7:34:10”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0030726115219295025, “learning_rate”: “0.00014564766”}}
{“epoch”: 26, “max_epoch”: 100, “time_per_epoch”: “0:04:53.502835”, “eta”: “6:01:59.209793”, “date”: “3/18/2024”, “time”: “7:39:4”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0029167369939386845, “learning_rate”: “0.00013863618”}}
{“epoch”: 27, “max_epoch”: 100, “time_per_epoch”: “0:04:53.489785”, “eta”: “5:57:04.754302”, “date”: “3/18/2024”, “time”: “7:43:57”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.002933724783360958, “learning_rate”: “0.00013196236”}}
{“epoch”: 28, “max_epoch”: 100, “time_per_epoch”: “0:04:53.547155”, “eta”: “5:52:15.395136”, “date”: “3/18/2024”, “time”: “7:48:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0028260110411792994, “learning_rate”: “0.00012560979”}}
{“epoch”: 29, “max_epoch”: 100, “time_per_epoch”: “0:04:53.638603”, “eta”: “5:47:28.340811”, “date”: “3/18/2024”, “time”: “7:53:44”, “status”: “RUNNING”, “verbosity”: “INFO”, “graphical”: {“loss”: 0.0030957330018281937, “learning_rate”: “0.00011956293”}}
{“date”: “3/18/2024”, “time”: “8:0:6”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0030957330018281937, “learning_rate”: “0.00011956293”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 30, “max_epoch”: 100, “time_per_epoch”: “0:06:21.842062”, “eta”: “7:25:28.944306”, “date”: “3/18/2024”, “time”: “8:0:6”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0030171480029821396, “learning_rate”: “0.00011380728”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 31, “max_epoch”: 100, “time_per_epoch”: “0:04:52.864593”, “eta”: “5:36:47.656919”, “date”: “3/18/2024”, “time”: “8:4:59”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.003068220801651478, “learning_rate”: “0.000108328684”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 32, “max_epoch”: 100, “time_per_epoch”: “0:04:53.309618”, “eta”: “5:32:25.054056”, “date”: “3/18/2024”, “time”: “8:9:52”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0029432999435812235, “learning_rate”: “0.000103113736”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 33, “max_epoch”: 100, “time_per_epoch”: “0:04:53.233032”, “eta”: “5:27:26.613159”, “date”: “3/18/2024”, “time”: “8:14:46”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0031127554830163717, “learning_rate”: “9.814983e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 34, “max_epoch”: 100, “time_per_epoch”: “0:04:53.388427”, “eta”: “5:22:43.636215”, “date”: “3/18/2024”, “time”: “8:19:39”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.003155471757054329, “learning_rate”: “9.342498e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 35, “max_epoch”: 100, “time_per_epoch”: “0:04:53.507377”, “eta”: “5:17:57.979499”, “date”: “3/18/2024”, “time”: “8:24:32”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.003031008644029498, “learning_rate”: “8.892758e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 36, “max_epoch”: 100, “time_per_epoch”: “0:04:53.565197”, “eta”: “5:13:08.172638”, “date”: “3/18/2024”, “time”: “8:29:26”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0031345996540039778, “learning_rate”: “8.464668e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 37, “max_epoch”: 100, “time_per_epoch”: “0:04:53.467636”, “eta”: “5:08:08.461045”, “date”: “3/18/2024”, “time”: “8:34:19”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0030491002835333347, “learning_rate”: “8.057187e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 38, “max_epoch”: 100, “time_per_epoch”: “0:04:53.274091”, “eta”: “5:03:02.993642”, “date”: “3/18/2024”, “time”: “8:39:13”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.003231216687709093, “learning_rate”: “7.6693126e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“epoch”: 39, “max_epoch”: 100, “time_per_epoch”: “0:04:53.397132”, “eta”: “4:58:17.225062”, “date”: “3/18/2024”, “time”: “8:44:6”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.1336, “face”: 0.0}}, “graphical”: {“loss”: 0.0031119724735617638, “learning_rate”: “7.300118e-05”}, “kpi”: {“validation cost”: 0.02069363, “mean average precision”: 0.0668}}
{“date”: “3/18/2024”, “time”: “8:50:53”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 0.4065, “face”: 0.0}}, “graphical”: {“loss”: 0.0031119724735617638, “learning_rate”: “7.300118e-05”}, “kpi”: {“validation cost”: 0.00555729, “mean average precision”: 0.2032}}
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{“date”: “3/18/2024”, “time”: “9:41:56”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 0.6679, “face”: 0.0}}, “graphical”: {“loss”: 0.0033195791766047478, “learning_rate”: “4.4572116e-05”}, “kpi”: {“validation cost”: 0.0042146, “mean average precision”: 0.3339}}
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{“epoch”: 56, “max_epoch”: 100, “time_per_epoch”: “0:04:53.138070”, “eta”: “3:34:58.075095”, “date”: “3/18/2024”, “time”: “10:11:15”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.6679, “face”: 0.0}}, “graphical”: {“loss”: 0.003355278167873621, “learning_rate”: “3.1555584e-05”}, “kpi”: {“validation cost”: 0.0042146, “mean average precision”: 0.3339}}
{“epoch”: 57, “max_epoch”: 100, “time_per_epoch”: “0:04:53.162398”, “eta”: “3:30:05.983108”, “date”: “3/18/2024”, “time”: “10:16:8”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.6679, “face”: 0.0}}, “graphical”: {“loss”: 0.003445375245064497, “learning_rate”: “3.0036525e-05”}, “kpi”: {“validation cost”: 0.0042146, “mean average precision”: 0.3339}}
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{“epoch”: 59, “max_epoch”: 100, “time_per_epoch”: “0:04:52.982104”, “eta”: “3:20:12.266257”, “date”: “3/18/2024”, “time”: “10:25:54”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 0.6679, “face”: 0.0}}, “graphical”: {“loss”: 0.0036308341659605503, “learning_rate”: “2.721424e-05”}, “kpi”: {“validation cost”: 0.0042146, “mean average precision”: 0.3339}}
{“date”: “3/18/2024”, “time”: “10:32:55”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 3.0264, “face”: 0.0}}, “graphical”: {“loss”: 0.0036308341659605503, “learning_rate”: “2.721424e-05”}, “kpi”: {“validation cost”: 0.00420063, “mean average precision”: 1.5132}}
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{“epoch”: 66, “max_epoch”: 100, “time_per_epoch”: “0:04:53.269646”, “eta”: “2:46:11.167970”, “date”: “3/18/2024”, “time”: “11:2:13”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 3.0264, “face”: 0.0}}, “graphical”: {“loss”: 0.003599527757614851, “learning_rate”: “1.92668e-05”}, “kpi”: {“validation cost”: 0.00420063, “mean average precision”: 1.5132}}
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{“date”: “3/18/2024”, “time”: “11:23:26”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.003437579842284322, “learning_rate”: “1.6616115e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
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{“epoch”: 74, “max_epoch”: 100, “time_per_epoch”: “0:04:52.766306”, “eta”: “2:06:51.923960”, “date”: “3/18/2024”, “time”: “11:42:57”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0033511482179164886, “learning_rate”: “1.2983626e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“epoch”: 75, “max_epoch”: 100, “time_per_epoch”: “0:04:53.221985”, “eta”: “2:02:10.549622”, “date”: “3/18/2024”, “time”: “11:47:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034393512178212404, “learning_rate”: “1.2358605e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“epoch”: 76, “max_epoch”: 100, “time_per_epoch”: “0:04:53.051231”, “eta”: “1:57:13.229536”, “date”: “3/18/2024”, “time”: “11:52:44”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0033900632988661528, “learning_rate”: “1.1763673e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“epoch”: 77, “max_epoch”: 100, “time_per_epoch”: “0:04:53.020180”, “eta”: “1:52:19.464134”, “date”: “3/18/2024”, “time”: “11:57:37”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0035282729659229517, “learning_rate”: “1.1197368e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“epoch”: 78, “max_epoch”: 100, “time_per_epoch”: “0:04:52.879410”, “eta”: “1:47:23.347021”, “date”: “3/18/2024”, “time”: “12:2:30”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0035071733873337507, “learning_rate”: “1.0658337e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“epoch”: 79, “max_epoch”: 100, “time_per_epoch”: “0:04:53.092095”, “eta”: “1:42:34.934003”, “date”: “3/18/2024”, “time”: “12:7:23”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 6.439, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034456606954336166, “learning_rate”: “1.0145253e-05”}, “kpi”: {“validation cost”: 0.00139689, “mean average precision”: 7.765}}
{“date”: “3/18/2024”, “time”: “12:13:47”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0034456606954336166, “learning_rate”: “1.0145253e-05”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 80, “max_epoch”: 100, “time_per_epoch”: “0:06:24.593330”, “eta”: “2:08:11.866608”, “date”: “3/18/2024”, “time”: “12:13:47”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0036457465030252934, “learning_rate”: “9.65686e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 81, “max_epoch”: 100, “time_per_epoch”: “0:04:52.637888”, “eta”: “1:32:40.119880”, “date”: “3/18/2024”, “time”: “12:18:40”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0033868623431771994, “learning_rate”: “9.1919865e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 82, “max_epoch”: 100, “time_per_epoch”: “0:04:53.076957”, “eta”: “1:27:55.385217”, “date”: “3/18/2024”, “time”: “12:23:33”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0034721915144473314, “learning_rate”: “8.749492e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 83, “max_epoch”: 100, “time_per_epoch”: “0:04:53.120975”, “eta”: “1:23:03.056579”, “date”: “3/18/2024”, “time”: “12:28:26”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0034816497936844826, “learning_rate”: “8.328291e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 84, “max_epoch”: 100, “time_per_epoch”: “0:04:53.217334”, “eta”: “1:18:11.477337”, “date”: “3/18/2024”, “time”: “12:33:19”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.00363638112321496, “learning_rate”: “7.927374e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 85, “max_epoch”: 100, “time_per_epoch”: “0:04:53.200366”, “eta”: “1:13:18.005483”, “date”: “3/18/2024”, “time”: “12:38:13”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.00372359249740839, “learning_rate”: “7.545757e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 86, “max_epoch”: 100, “time_per_epoch”: “0:04:53.092091”, “eta”: “1:08:23.289268”, “date”: “3/18/2024”, “time”: “12:43:6”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0036191879771649837, “learning_rate”: “7.182504e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 87, “max_epoch”: 100, “time_per_epoch”: “0:04:53.017724”, “eta”: “1:03:29.230412”, “date”: “3/18/2024”, “time”: “12:47:59”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.003481260035187006, “learning_rate”: “6.8367444e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 88, “max_epoch”: 100, “time_per_epoch”: “0:04:52.818674”, “eta”: “0:58:33.824083”, “date”: “3/18/2024”, “time”: “12:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0036475080996751785, “learning_rate”: “6.5076288e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“epoch”: 89, “max_epoch”: 100, “time_per_epoch”: “0:04:53.035219”, “eta”: “0:53:43.387406”, “date”: “3/18/2024”, “time”: “12:57:44”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 10.7489, “face”: 0.0}}, “graphical”: {“loss”: 0.0033387336879968643, “learning_rate”: “6.1943515e-06”}, “kpi”: {“validation cost”: 0.00095147, “mean average precision”: 5.3745}}
{“date”: “3/18/2024”, “time”: “13:3:24”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0033387336879968643, “learning_rate”: “6.1943515e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 90, “max_epoch”: 100, “time_per_epoch”: “0:05:39.616845”, “eta”: “0:56:36.168447”, “date”: “3/18/2024”, “time”: “13:3:24”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034234789200127125, “learning_rate”: “5.89616e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 91, “max_epoch”: 100, “time_per_epoch”: “0:04:52.972059”, “eta”: “0:43:56.748533”, “date”: “3/18/2024”, “time”: “13:8:17”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034105521626770496, “learning_rate”: “5.6123245e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 92, “max_epoch”: 100, “time_per_epoch”: “0:04:53.128333”, “eta”: “0:39:05.026665”, “date”: “3/18/2024”, “time”: “13:13:10”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0035817220341414213, “learning_rate”: “5.3421463e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 93, “max_epoch”: 100, “time_per_epoch”: “0:04:53.233027”, “eta”: “0:34:12.631186”, “date”: “3/18/2024”, “time”: “13:18:3”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.003499566577374935, “learning_rate”: “5.08498e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 94, “max_epoch”: 100, “time_per_epoch”: “0:04:53.174548”, “eta”: “0:29:19.047286”, “date”: “3/18/2024”, “time”: “13:22:57”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.003362390212714672, “learning_rate”: “4.8401935e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 95, “max_epoch”: 100, “time_per_epoch”: “0:04:53.259647”, “eta”: “0:24:26.298233”, “date”: “3/18/2024”, “time”: “13:27:50”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0033713008742779493, “learning_rate”: “4.607186e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 96, “max_epoch”: 100, “time_per_epoch”: “0:04:53.144436”, “eta”: “0:19:32.577745”, “date”: “3/18/2024”, “time”: “13:32:43”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0035697848070412874, “learning_rate”: “4.3854e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 97, “max_epoch”: 100, “time_per_epoch”: “0:04:53.071592”, “eta”: “0:14:39.214776”, “date”: “3/18/2024”, “time”: “13:37:36”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034839659929275513, “learning_rate”: “4.17429e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 98, “max_epoch”: 100, “time_per_epoch”: “0:04:52.816191”, “eta”: “0:09:45.632381”, “date”: “3/18/2024”, “time”: “13:42:29”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.003349154721945524, “learning_rate”: “3.9733436e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“epoch”: 99, “max_epoch”: 100, “time_per_epoch”: “0:04:52.947308”, “eta”: “0:04:52.947308”, “date”: “3/18/2024”, “time”: “13:47:22”, “status”: “RUNNING”, “verbosity”: “INFO”, “categorical”: {“average_precision”: {“person”: 37.2394, “face”: 9.0909}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“validation cost”: 0.00038861, “mean average precision”: 23.1652}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Evaluation metrics generated.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“validation cost”: 0.00032869, “mean average precision”: 27.3196}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Training loop completed.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“validation cost”: 0.00032869, “mean average precision”: 27.3196}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Saving trained model.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“validation cost”: 0.00032869, “mean average precision”: 27.3196}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Model saved.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“size”: 81.67167663574219, “param_count”: 21.319754}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “RUNNING”, “verbosity”: “INFO”, “message”: “Training op complete.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“size”: 81.67167663574219, “param_count”: 21.319754}}
{“date”: “3/18/2024”, “time”: “13:52:51”, “status”: “SUCCESS”, “verbosity”: “INFO”, “message”: “DetectNet_v2 training job complete.”, “categorical”: {“average_precision”: {“person”: 47.8211, “face”: 6.8182}}, “graphical”: {“loss”: 0.0034041269682347775, “learning_rate”: “3.7820666e-06”}, “kpi”: {“size”: 81.67167663574219, “param_count”: 21.319754}}
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