Model Trainiert Datensatz vom 02.06.2025

yolo_training/NAO_detector/args.yaml

@@ -10,7 +10,7 @@ imgsz: 640
 save: true
 save_period: -1
 cache: false
-device: cpu
+device: '0'
 workers: 8
 project: yolo_training
 name: NAO_detector

yolo_training/NAO_detector/results.csv

@@ -1,2 +1,25 @@
 epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
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+1,43.7328,1.25814,1.72863,1.17659,0.74518,0.84077,0.84291,0.48474,1.24266,1.73231,1.41437,0.000661654,0.000661654,0.000661654
+2,85.9308,1.31019,1.25131,1.21989,0.71446,0.65,0.71046,0.40902,1.50998,1.53101,1.53065,0.00130202,0.00130202,0.00130202
+3,128.01,1.33351,1.0706,1.24283,0.82519,0.675,0.75726,0.47482,1.28739,1.66125,1.38419,0.00191599,0.00191599,0.00191599
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+6,254.328,1.21589,0.82583,1.18872,0.8238,0.87662,0.90482,0.59631,1.16718,0.94529,1.27788,0.001802,0.001802,0.001802
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+13,550.483,1.13722,0.70397,1.14222,0.92314,0.90078,0.95561,0.69837,0.93819,0.72891,1.12948,0.0015248,0.0015248,0.0015248
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+15,635.008,1.12174,0.67997,1.12656,0.91732,0.875,0.94963,0.71413,0.95528,0.57018,1.13455,0.0014456,0.0014456,0.0014456
+16,677.376,1.11231,0.65944,1.12721,0.93497,0.89861,0.96771,0.7444,0.93139,0.54339,1.11307,0.001406,0.001406,0.001406
+17,719.657,1.07777,0.67041,1.09882,0.93645,0.92108,0.97476,0.75162,0.94171,0.51412,1.10385,0.0013664,0.0013664,0.0013664
+18,761.969,1.07516,0.63592,1.10574,0.96448,0.9375,0.97748,0.75255,0.9098,0.48929,1.10691,0.0013268,0.0013268,0.0013268
+19,804.231,1.0694,0.61849,1.10328,0.96186,0.925,0.9737,0.76578,0.86653,0.49392,1.08609,0.0012872,0.0012872,0.0012872
+20,846.579,1.04875,0.61657,1.10205,0.96185,0.95,0.97948,0.76197,0.87411,0.51301,1.10399,0.0012476,0.0012476,0.0012476
+21,888.791,1.0645,0.61355,1.1024,0.91306,0.9375,0.97366,0.73882,0.87144,0.50829,1.0843,0.001208,0.001208,0.001208
+22,931.259,1.06394,0.60756,1.10152,0.92649,0.94529,0.98047,0.73572,0.89228,0.53384,1.07704,0.0011684,0.0011684,0.0011684
+23,973.702,1.05014,0.60532,1.10591,0.94753,0.9375,0.97509,0.74799,0.89053,0.48995,1.08055,0.0011288,0.0011288,0.0011288
+24,1015.97,1.03435,0.58299,1.07959,0.94908,0.93203,0.97254,0.76005,0.89917,0.47759,1.0904,0.0010892,0.0010892,0.0010892

yolo_training/NAO_detector/weights/best_openvino_model/metadata.yaml

@@ -0,0 +1,22 @@
+description: Ultralytics best model trained on yolo_dataset\dataset.yaml
+author: Ultralytics
+date: '2025-06-02T11:00:39.061455'
+version: 8.3.146
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: NAO-Roboter
+args:
+  batch: 1
+  fraction: 1.0
+  half: false
+  int8: false
+  dynamic: false
+  nms: false
+channels: 3