log.txt
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###Training Start###
batch_size=10
train_images_count=1052
epoches=40
learning_type=exponential
update_all=True
Epoch: 0, global_step: 10 | loss: total: 6138.36, xy: 0.58, wh: 9.61, conf: 6127.26, class: 0.91 | Last batch: rec: 0.600, prec: 0.004 | lr: 0
Epoch: 0, global_step: 20 | loss: total: 4796.03, xy: 0.60, wh: 9.00, conf: 4785.41, class: 1.02 | Last batch: rec: 0.636, prec: 0.005 | lr: 0
Epoch: 0, global_step: 30 | loss: total: 4006.70, xy: 0.62, wh: 9.53, conf: 3995.40, class: 1.14 | Last batch: rec: 0.333, prec: 0.003 | lr: 0
Epoch: 0, global_step: 40 | loss: total: 4021.21, xy: 0.59, wh: 8.81, conf: 4010.72, class: 1.09 | Last batch: rec: 0.571, prec: 0.005 | lr: 0
Epoch: 0, global_step: 50 | loss: total: 4019.18, xy: 0.57, wh: 8.67, conf: 4008.85, class: 1.09 | Last batch: rec: 0.455, prec: 0.003 | lr: 0
Epoch: 0, global_step: 60 | loss: total: 4763.08, xy: 0.56, wh: 8.37, conf: 4753.09, class: 1.07 | Last batch: rec: 0.273, prec: 0.002 | lr: 0
Epoch: 0, global_step: 70 | loss: total: 5289.50, xy: 0.56, wh: 9.07, conf: 5278.82, class: 1.05 | Last batch: rec: 0.500, prec: 0.003 | lr: 0
Epoch: 0, global_step: 80 | loss: total: 5288.21, xy: 0.55, wh: 9.11, conf: 5277.47, class: 1.08 | Last batch: rec: 0.400, prec: 0.004 | lr: 0
Epoch: 0, global_step: 90 | loss: total: 5146.15, xy: 0.53, wh: 9.00, conf: 5135.55, class: 1.07 | Last batch: rec: 0.455, prec: 0.003 | lr: 0
Epoch: 0, global_step: 100 | loss: total: 5316.18, xy: 0.52, wh: 9.18, conf: 5305.43, class: 1.05 | Last batch: rec: 0.182, prec: 0.001 | lr: 0
======> Epoch: 0, global_step: 106.0, lr: 0 <======
EVAL: Class 0: Recall: 0.0961, Precision: 0.0008, AP: 0.0001
EVAL: Recall: 0.0961, Precison: 0.0008, mAP: 0.0001
EVAL: loss: total: 1867.30, xy: 0.30, wh: 0.60, conf: 1865.50, class: 0.90
############
Epoch: 1, global_step: 110 | loss: total: 8553.85, xy: 0.58, wh: 9.78, conf: 8542.38, class: 1.11 | Last batch: rec: 0.182, prec: 0.001 | lr: 0
Epoch: 1, global_step: 120 | loss: total: 8115.28, xy: 0.61, wh: 11.22, conf: 8102.52, class: 0.93 | Last batch: rec: 0.000, prec: 0.000 | lr: 0
Epoch: 1, global_step: 130 | loss: total: 7919.98, xy: 0.57, wh: 9.99, conf: 7908.50, class: 0.93 | Last batch: rec: 0.357, prec: 0.003 | lr: 0
Epoch: 1, global_step: 140 | loss: total: 7416.59, xy: 0.54, wh: 9.08, conf: 7406.07, class: 0.89 | Last batch: rec: 0.700, prec: 0.005 | lr: 0
Epoch: 1, global_step: 150 | loss: total: 7370.36, xy: 0.53, wh: 9.06, conf: 7359.90, class: 0.87 | Last batch: rec: 0.200, prec: 0.001 | lr: 0
Epoch: 1, global_step: 160 | loss: total: 7303.70, xy: 0.54, wh: 9.31, conf: 7292.96, class: 0.89 | Last batch: rec: 0.400, prec: 0.003 | lr: 0
Epoch: 1, global_step: 170 | loss: total: 6917.49, xy: 0.54, wh: 9.73, conf: 6906.34, class: 0.88 | Last batch: rec: 0.333, prec: 0.003 | lr: 0
Epoch: 1, global_step: 180 | loss: total: 6758.44, xy: 0.54, wh: 9.85, conf: 6747.14, class: 0.91 | Last batch: rec: 0.133, prec: 0.001 | lr: 0
Epoch: 1, global_step: 190 | loss: total: 6716.20, xy: 0.53, wh: 9.84, conf: 6704.91, class: 0.92 | Last batch: rec: 0.167, prec: 0.001 | lr: 0
Epoch: 1, global_step: 200 | loss: total: 6444.35, xy: 0.54, wh: 10.34, conf: 6432.53, class: 0.94 | Last batch: rec: 0.118, prec: 0.001 | lr: 0
Epoch: 1, global_step: 210 | loss: total: 6075.57, xy: 0.54, wh: 10.30, conf: 6063.76, class: 0.97 | Last batch: rec: 0.357, prec: 0.003 | lr: 0
======> Epoch: 1, global_step: 212.0, lr: 0 <======
EVAL: Class 0: Recall: 0.1068, Precision: 0.0009, AP: 0.0001
EVAL: Recall: 0.1068, Precison: 0.0009, mAP: 0.0001
EVAL: loss: total: 1944.51, xy: 0.31, wh: 0.88, conf: 1942.46, class: 0.85
############
Epoch: 2, global_step: 220 | loss: total: 1072.74, xy: 0.46, wh: 4.95, conf: 1066.36, class: 0.97 | Last batch: rec: 0.143, prec: 0.001 | lr: 0.0001
Epoch: 2, global_step: 230 | loss: total: 485.75, xy: 0.44, wh: 6.49, conf: 477.88, class: 0.95 | Last batch: rec: 0.500, prec: 0.003 | lr: 0.0001
Epoch: 2, global_step: 240 | loss: total: 318.40, xy: 0.42, wh: 7.24, conf: 309.85, class: 0.90 | Last batch: rec: 0.700, prec: 0.005 | lr: 0.0001
Epoch: 2, global_step: 250 | loss: total: 240.71, xy: 0.43, wh: 9.09, conf: 230.30, class: 0.88 | Last batch: rec: 0.636, prec: 0.005 | lr: 0.0001
Epoch: 2, global_step: 260 | loss: total: 194.79, xy: 0.40, wh: 10.17, conf: 183.37, class: 0.85 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0001
Epoch: 2, global_step: 270 | loss: total: 166.39, xy: 0.39, wh: 12.38, conf: 152.79, class: 0.83 | Last batch: rec: 0.154, prec: 0.003 | lr: 0.0001
Epoch: 2, global_step: 280 | loss: total: 142.89, xy: 0.39, wh: 10.73, conf: 130.98, class: 0.80 | Last batch: rec: 0.636, prec: 0.007 | lr: 0.0001
Epoch: 2, global_step: 290 | loss: total: 125.32, xy: 0.39, wh: 9.47, conf: 114.67, class: 0.78 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 2, global_step: 300 | loss: total: 111.72, xy: 0.39, wh: 8.50, conf: 102.08, class: 0.76 | Last batch: rec: 0.636, prec: 0.005 | lr: 0.0001
Epoch: 2, global_step: 310 | loss: total: 100.91, xy: 0.38, wh: 7.75, conf: 92.04, class: 0.73 | Last batch: rec: 0.750, prec: 0.006 | lr: 0.0001
======> Epoch: 2, global_step: 318.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.5231, Precision: 0.0044, AP: 0.0514
EVAL: Recall: 0.5231, Precison: 0.0044, mAP: 0.0514
EVAL: loss: total: 203.88, xy: 0.48, wh: 131.98, conf: 69.08, class: 2.34
======> Epoch: 2, global_step: 318.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.5231, Precision: 0.0044, AP: 0.0514
EVAL: Recall: 0.5231, Precison: 0.0044, mAP: 0.0514
EVAL: loss: total: 203.88, xy: 0.48, wh: 131.98, conf: 69.08, class: 2.34
############
Epoch: 3, global_step: 320 | loss: total: 4.24, xy: 0.44, wh: 0.73, conf: 2.71, class: 0.36 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 330 | loss: total: 5.04, xy: 0.46, wh: 0.45, conf: 3.70, class: 0.43 | Last batch: rec: 0.538, prec: 0.009 | lr: 0.0001
Epoch: 3, global_step: 340 | loss: total: 5.05, xy: 0.46, wh: 0.47, conf: 3.67, class: 0.46 | Last batch: rec: 0.750, prec: 0.011 | lr: 0.0001
Epoch: 3, global_step: 350 | loss: total: 4.93, xy: 0.43, wh: 0.44, conf: 3.60, class: 0.46 | Last batch: rec: 0.786, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 360 | loss: total: 4.82, xy: 0.40, wh: 0.46, conf: 3.50, class: 0.45 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 370 | loss: total: 4.71, xy: 0.39, wh: 0.44, conf: 3.43, class: 0.44 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 380 | loss: total: 4.63, xy: 0.39, wh: 0.46, conf: 3.35, class: 0.43 | Last batch: rec: 0.800, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 390 | loss: total: 4.55, xy: 0.38, wh: 0.45, conf: 3.31, class: 0.42 | Last batch: rec: 0.636, prec: 0.005 | lr: 0.0001
Epoch: 3, global_step: 400 | loss: total: 4.51, xy: 0.37, wh: 0.44, conf: 3.29, class: 0.41 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 410 | loss: total: 4.41, xy: 0.36, wh: 0.41, conf: 3.23, class: 0.40 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 420 | loss: total: 4.36, xy: 0.36, wh: 0.40, conf: 3.20, class: 0.40 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.0001
======> Epoch: 3, global_step: 424.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8149, Precision: 0.0078, AP: 0.2226
EVAL: Recall: 0.8149, Precison: 0.0078, mAP: 0.2226
EVAL: loss: total: 18.82, xy: 0.33, wh: 13.93, conf: 4.15, class: 0.42
############
Epoch: 4, global_step: 430 | loss: total: 3.64, xy: 0.31, wh: 0.32, conf: 2.73, class: 0.27 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 440 | loss: total: 3.62, xy: 0.31, wh: 0.33, conf: 2.70, class: 0.28 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 450 | loss: total: 3.63, xy: 0.30, wh: 0.32, conf: 2.74, class: 0.27 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 460 | loss: total: 3.66, xy: 0.30, wh: 0.33, conf: 2.74, class: 0.28 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.0001
Epoch: 4, global_step: 470 | loss: total: 3.63, xy: 0.34, wh: 0.32, conf: 2.70, class: 0.27 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 480 | loss: total: 3.58, xy: 0.34, wh: 0.30, conf: 2.67, class: 0.27 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 490 | loss: total: 3.58, xy: 0.34, wh: 0.30, conf: 2.67, class: 0.26 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 500 | loss: total: 3.59, xy: 0.35, wh: 0.31, conf: 2.68, class: 0.26 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 4, global_step: 510 | loss: total: 3.57, xy: 0.35, wh: 0.30, conf: 2.67, class: 0.25 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 4, global_step: 520 | loss: total: 3.48, xy: 0.34, wh: 0.29, conf: 2.60, class: 0.25 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 530 | loss: total: 3.59, xy: 0.35, wh: 0.31, conf: 2.68, class: 0.25 | Last batch: rec: 0.500, prec: 0.003 | lr: 0.0001
======> Epoch: 4, global_step: 530.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0071, AP: 0.2364
EVAL: Recall: 0.8541, Precison: 0.0071, mAP: 0.2364
EVAL: loss: total: 4.25, xy: 0.31, wh: 0.46, conf: 3.26, class: 0.21
======> Epoch: 4, global_step: 530.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0071, AP: 0.2364
EVAL: Recall: 0.8541, Precison: 0.0071, mAP: 0.2364
EVAL: loss: total: 4.25, xy: 0.31, wh: 0.46, conf: 3.26, class: 0.21
############
Epoch: 5, global_step: 540 | loss: total: 3.52, xy: 0.28, wh: 0.27, conf: 2.80, class: 0.17 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 550 | loss: total: 3.41, xy: 0.34, wh: 0.28, conf: 2.62, class: 0.17 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 5, global_step: 560 | loss: total: 3.33, xy: 0.35, wh: 0.31, conf: 2.48, class: 0.18 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 570 | loss: total: 3.50, xy: 0.37, wh: 0.31, conf: 2.62, class: 0.20 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 580 | loss: total: 3.44, xy: 0.36, wh: 0.30, conf: 2.58, class: 0.20 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 590 | loss: total: 3.41, xy: 0.36, wh: 0.28, conf: 2.56, class: 0.20 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 600 | loss: total: 3.35, xy: 0.36, wh: 0.27, conf: 2.52, class: 0.20 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 610 | loss: total: 3.33, xy: 0.37, wh: 0.27, conf: 2.49, class: 0.19 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 5, global_step: 620 | loss: total: 3.26, xy: 0.36, wh: 0.27, conf: 2.44, class: 0.19 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 5, global_step: 630 | loss: total: 3.21, xy: 0.35, wh: 0.27, conf: 2.41, class: 0.18 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
======> Epoch: 5, global_step: 636.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8683, Precision: 0.0077, AP: 0.4529
EVAL: Recall: 0.8683, Precison: 0.0077, mAP: 0.4529
EVAL: loss: total: 3.28, xy: 0.31, wh: 0.42, conf: 2.40, class: 0.14
############
Epoch: 6, global_step: 640 | loss: total: 2.95, xy: 0.39, wh: 0.24, conf: 2.19, class: 0.13 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 650 | loss: total: 3.13, xy: 0.42, wh: 0.31, conf: 2.24, class: 0.16 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 660 | loss: total: 3.34, xy: 0.42, wh: 0.38, conf: 2.37, class: 0.18 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.0001
Epoch: 6, global_step: 670 | loss: total: 3.25, xy: 0.38, wh: 0.34, conf: 2.38, class: 0.15 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 680 | loss: total: 3.25, xy: 0.37, wh: 0.34, conf: 2.39, class: 0.15 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 6, global_step: 690 | loss: total: 3.13, xy: 0.37, wh: 0.31, conf: 2.31, class: 0.14 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 700 | loss: total: 3.14, xy: 0.38, wh: 0.32, conf: 2.30, class: 0.13 | Last batch: rec: 1.000, prec: 0.012 | lr: 0.0001
Epoch: 6, global_step: 710 | loss: total: 3.08, xy: 0.38, wh: 0.30, conf: 2.27, class: 0.13 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 6, global_step: 720 | loss: total: 3.06, xy: 0.36, wh: 0.30, conf: 2.28, class: 0.12 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 730 | loss: total: 3.07, xy: 0.37, wh: 0.30, conf: 2.29, class: 0.12 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 740 | loss: total: 3.06, xy: 0.36, wh: 0.30, conf: 2.28, class: 0.12 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
======> Epoch: 6, global_step: 742.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8434, Precision: 0.0087, AP: 0.3407
EVAL: Recall: 0.8434, Precison: 0.0087, mAP: 0.3407
EVAL: loss: total: 3.58, xy: 0.31, wh: 0.55, conf: 2.60, class: 0.12
======> Epoch: 6, global_step: 742.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8434, Precision: 0.0087, AP: 0.3407
EVAL: Recall: 0.8434, Precison: 0.0087, mAP: 0.3407
EVAL: loss: total: 3.58, xy: 0.31, wh: 0.55, conf: 2.60, class: 0.12
############
Epoch: 7, global_step: 750 | loss: total: 2.76, xy: 0.26, wh: 0.22, conf: 2.20, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 760 | loss: total: 4.53, xy: 0.34, wh: 1.67, conf: 2.40, class: 0.12 | Last batch: rec: 0.778, prec: 0.009 | lr: 0.00013
Epoch: 7, global_step: 770 | loss: total: 4.02, xy: 0.34, wh: 1.15, conf: 2.42, class: 0.11 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 780 | loss: total: 3.82, xy: 0.36, wh: 0.92, conf: 2.42, class: 0.12 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
Epoch: 7, global_step: 790 | loss: total: 3.64, xy: 0.36, wh: 0.77, conf: 2.38, class: 0.12 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
Epoch: 7, global_step: 800 | loss: total: 3.53, xy: 0.37, wh: 0.67, conf: 2.36, class: 0.13 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 810 | loss: total: 3.47, xy: 0.37, wh: 0.60, conf: 2.38, class: 0.12 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
Epoch: 7, global_step: 820 | loss: total: 3.39, xy: 0.37, wh: 0.56, conf: 2.35, class: 0.11 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00013
Epoch: 7, global_step: 830 | loss: total: 3.33, xy: 0.37, wh: 0.52, conf: 2.33, class: 0.11 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 840 | loss: total: 3.72, xy: 0.36, wh: 0.88, conf: 2.36, class: 0.11 | Last batch: rec: 0.769, prec: 0.008 | lr: 0.00013
======> Epoch: 7, global_step: 848.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8612, Precision: 0.0077, AP: 0.1632
EVAL: Recall: 0.8612, Precison: 0.0077, mAP: 0.1632
EVAL: loss: total: 3.67, xy: 0.31, wh: 0.60, conf: 2.66, class: 0.10
############
Epoch: 8, global_step: 850 | loss: total: 3.62, xy: 0.49, wh: 0.26, conf: 2.76, class: 0.11 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00013
Epoch: 8, global_step: 860 | loss: total: 3.19, xy: 0.34, wh: 0.27, conf: 2.48, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 870 | loss: total: 2.99, xy: 0.33, wh: 0.25, conf: 2.31, class: 0.09 | Last batch: rec: 0.923, prec: 0.009 | lr: 0.00013
Epoch: 8, global_step: 880 | loss: total: 3.83, xy: 0.34, wh: 0.97, conf: 2.42, class: 0.11 | Last batch: rec: 0.900, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 890 | loss: total: 3.55, xy: 0.34, wh: 0.82, conf: 2.29, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 8, global_step: 900 | loss: total: 3.45, xy: 0.34, wh: 0.74, conf: 2.26, class: 0.11 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.00013
Epoch: 8, global_step: 910 | loss: total: 3.28, xy: 0.34, wh: 0.65, conf: 2.19, class: 0.10 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 920 | loss: total: 3.24, xy: 0.34, wh: 0.61, conf: 2.19, class: 0.10 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 930 | loss: total: 3.22, xy: 0.34, wh: 0.60, conf: 2.18, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 940 | loss: total: 3.29, xy: 0.34, wh: 0.57, conf: 2.28, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 8, global_step: 950 | loss: total: 3.33, xy: 0.33, wh: 0.67, conf: 2.24, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
======> Epoch: 8, global_step: 954.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8683, Precision: 0.0075, AP: 0.3624
EVAL: Recall: 0.8683, Precison: 0.0075, mAP: 0.3624
EVAL: loss: total: 4.41, xy: 0.30, wh: 0.43, conf: 3.61, class: 0.08
======> Epoch: 8, global_step: 954.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8683, Precision: 0.0075, AP: 0.3624
EVAL: Recall: 0.8683, Precison: 0.0075, mAP: 0.3624
EVAL: loss: total: 4.41, xy: 0.30, wh: 0.43, conf: 3.61, class: 0.08
############
Epoch: 9, global_step: 960 | loss: total: 2.53, xy: 0.30, wh: 0.17, conf: 1.99, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 970 | loss: total: 2.71, xy: 0.31, wh: 0.21, conf: 2.13, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 980 | loss: total: 2.84, xy: 0.32, wh: 0.24, conf: 2.21, class: 0.07 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 990 | loss: total: 2.88, xy: 0.31, wh: 0.25, conf: 2.25, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1000 | loss: total: 2.91, xy: 0.32, wh: 0.25, conf: 2.26, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 9, global_step: 1010 | loss: total: 2.85, xy: 0.31, wh: 0.25, conf: 2.21, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1020 | loss: total: 2.84, xy: 0.31, wh: 0.25, conf: 2.20, class: 0.08 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 9, global_step: 1030 | loss: total: 2.88, xy: 0.32, wh: 0.27, conf: 2.22, class: 0.08 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 9, global_step: 1040 | loss: total: 3.12, xy: 0.32, wh: 0.47, conf: 2.25, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1050 | loss: total: 3.08, xy: 0.32, wh: 0.44, conf: 2.23, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1060 | loss: total: 3.16, xy: 0.33, wh: 0.46, conf: 2.29, class: 0.08 | Last batch: rec: 0.500, prec: 0.003 | lr: 0.00013
======> Epoch: 9, global_step: 1060.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0073, AP: 0.1476
EVAL: Recall: 0.8541, Precison: 0.0073, mAP: 0.1476
EVAL: loss: total: 10.45, xy: 0.31, wh: 6.13, conf: 3.83, class: 0.17
############
Epoch: 10, global_step: 1070 | loss: total: 2.46, xy: 0.30, wh: 0.23, conf: 1.88, class: 0.05 | Last batch: rec: 0.933, prec: 0.009 | lr: 0.00013
Epoch: 10, global_step: 1080 | loss: total: 2.47, xy: 0.31, wh: 0.22, conf: 1.89, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1090 | loss: total: 2.46, xy: 0.33, wh: 0.23, conf: 1.86, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1100 | loss: total: 2.57, xy: 0.34, wh: 0.23, conf: 1.94, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1110 | loss: total: 2.69, xy: 0.35, wh: 0.24, conf: 2.03, class: 0.06 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
Epoch: 10, global_step: 1120 | loss: total: 2.70, xy: 0.36, wh: 0.24, conf: 2.04, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 10, global_step: 1130 | loss: total: 2.67, xy: 0.35, wh: 0.23, conf: 2.02, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1140 | loss: total: 2.66, xy: 0.34, wh: 0.24, conf: 2.02, class: 0.06 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.00013
Epoch: 10, global_step: 1150 | loss: total: 2.64, xy: 0.34, wh: 0.24, conf: 2.00, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1160 | loss: total: 2.67, xy: 0.34, wh: 0.25, conf: 2.02, class: 0.07 | Last batch: rec: 1.000, prec: 0.012 | lr: 0.00013
======> Epoch: 10, global_step: 1166.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8648, Precision: 0.0106, AP: 0.1348
EVAL: Recall: 0.8648, Precison: 0.0106, mAP: 0.1348
EVAL: loss: total: 5.00, xy: 0.31, wh: 1.81, conf: 2.79, class: 0.09
======> Epoch: 10, global_step: 1166.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8648, Precision: 0.0106, AP: 0.1348
EVAL: Recall: 0.8648, Precison: 0.0106, mAP: 0.1348
EVAL: loss: total: 5.00, xy: 0.31, wh: 1.81, conf: 2.79, class: 0.09
############
Epoch: 11, global_step: 1170 | loss: total: 3.51, xy: 0.37, wh: 0.27, conf: 2.81, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 11, global_step: 1180 | loss: total: 2.72, xy: 0.35, wh: 0.19, conf: 2.13, class: 0.05 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.00013
Epoch: 11, global_step: 1190 | loss: total: 2.77, xy: 0.35, wh: 0.22, conf: 2.14, class: 0.06 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
Epoch: 11, global_step: 1200 | loss: total: 2.71, xy: 0.35, wh: 0.20, conf: 2.10, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1210 | loss: total: 2.62, xy: 0.35, wh: 0.20, conf: 2.01, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1220 | loss: total: 2.62, xy: 0.35, wh: 0.20, conf: 2.02, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1230 | loss: total: 2.58, xy: 0.34, wh: 0.21, conf: 1.99, class: 0.05 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.00013
Epoch: 11, global_step: 1240 | loss: total: 2.69, xy: 0.34, wh: 0.26, conf: 2.04, class: 0.05 | Last batch: rec: 0.937, prec: 0.011 | lr: 0.00013
Epoch: 11, global_step: 1250 | loss: total: 2.65, xy: 0.34, wh: 0.24, conf: 2.02, class: 0.05 | Last batch: rec: 0.923, prec: 0.009 | lr: 0.00013
Epoch: 11, global_step: 1260 | loss: total: 2.66, xy: 0.34, wh: 0.24, conf: 2.04, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1270 | loss: total: 2.74, xy: 0.34, wh: 0.24, conf: 2.11, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
======> Epoch: 11, global_step: 1272.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8648, Precision: 0.0081, AP: 0.2494
EVAL: Recall: 0.8648, Precison: 0.0081, mAP: 0.2494
EVAL: loss: total: 3.29, xy: 0.30, wh: 0.48, conf: 2.45, class: 0.07
############
Epoch: 12, global_step: 1280 | loss: total: 2.50, xy: 0.26, wh: 0.18, conf: 1.96, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1290 | loss: total: 2.73, xy: 0.32, wh: 0.24, conf: 2.08, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1300 | loss: total: 2.67, xy: 0.32, wh: 0.23, conf: 2.04, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1310 | loss: total: 4.42, xy: 0.32, wh: 1.83, conf: 2.18, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1320 | loss: total: 4.11, xy: 0.33, wh: 1.50, conf: 2.20, class: 0.09 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1330 | loss: total: 3.86, xy: 0.32, wh: 1.27, conf: 2.18, class: 0.08 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1340 | loss: total: 3.68, xy: 0.33, wh: 1.11, conf: 2.17, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1350 | loss: total: 3.55, xy: 0.33, wh: 0.99, conf: 2.16, class: 0.07 | Last batch: rec: 0.882, prec: 0.010 | lr: 0.000169
Epoch: 12, global_step: 1360 | loss: total: 3.52, xy: 0.32, wh: 0.92, conf: 2.20, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1370 | loss: total: 3.41, xy: 0.32, wh: 0.85, conf: 2.17, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
======> Epoch: 12, global_step: 1378.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0103, AP: 0.4064
EVAL: Recall: 0.8541, Precison: 0.0103, mAP: 0.4064
EVAL: loss: total: 3.71, xy: 0.29, wh: 0.41, conf: 2.93, class: 0.07
======> Epoch: 12, global_step: 1378.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0103, AP: 0.4064
EVAL: Recall: 0.8541, Precison: 0.0103, mAP: 0.4064
EVAL: loss: total: 3.71, xy: 0.29, wh: 0.41, conf: 2.93, class: 0.07
############
Epoch: 13, global_step: 1380 | loss: total: 2.14, xy: 0.32, wh: 0.15, conf: 1.63, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1390 | loss: total: 2.55, xy: 0.36, wh: 0.18, conf: 1.95, class: 0.06 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1400 | loss: total: 2.54, xy: 0.33, wh: 0.20, conf: 1.94, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1410 | loss: total: 2.67, xy: 0.32, wh: 0.21, conf: 2.08, class: 0.06 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 13, global_step: 1420 | loss: total: 2.71, xy: 0.32, wh: 0.25, conf: 2.08, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 13, global_step: 1430 | loss: total: 2.68, xy: 0.32, wh: 0.24, conf: 2.06, class: 0.06 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1440 | loss: total: 2.60, xy: 0.31, wh: 0.23, conf: 2.00, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1450 | loss: total: 2.57, xy: 0.31, wh: 0.22, conf: 1.97, class: 0.06 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
Epoch: 13, global_step: 1460 | loss: total: 2.47, xy: 0.31, wh: 0.21, conf: 1.90, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1470 | loss: total: 2.49, xy: 0.31, wh: 0.22, conf: 1.91, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1480 | loss: total: 2.52, xy: 0.31, wh: 0.22, conf: 1.93, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
======> Epoch: 13, global_step: 1484.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8719, Precision: 0.0122, AP: 0.4867
EVAL: Recall: 0.8719, Precison: 0.0122, mAP: 0.4867
EVAL: loss: total: 3.17, xy: 0.29, wh: 0.42, conf: 2.39, class: 0.07
############
Epoch: 14, global_step: 1490 | loss: total: 3.40, xy: 0.29, wh: 1.52, conf: 1.53, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1500 | loss: total: 6.32, xy: 0.31, wh: 3.89, conf: 2.05, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1510 | loss: total: 8.65, xy: 0.36, wh: 5.98, conf: 2.24, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1520 | loss: total: 7.00, xy: 0.36, wh: 4.38, conf: 2.19, class: 0.07 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.000169
Epoch: 14, global_step: 1530 | loss: total: 6.09, xy: 0.34, wh: 3.51, conf: 2.16, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1540 | loss: total: 5.40, xy: 0.35, wh: 2.92, conf: 2.07, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1550 | loss: total: 5.07, xy: 0.35, wh: 2.55, conf: 2.10, class: 0.07 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.000169
Epoch: 14, global_step: 1560 | loss: total: 4.92, xy: 0.36, wh: 2.35, conf: 2.14, class: 0.07 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1570 | loss: total: 4.61, xy: 0.36, wh: 2.11, conf: 2.08, class: 0.07 | Last batch: rec: 0.846, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1580 | loss: total: 4.44, xy: 0.35, wh: 1.92, conf: 2.10, class: 0.07 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1590 | loss: total: 4.30, xy: 0.35, wh: 1.77, conf: 2.12, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
======> Epoch: 14, global_step: 1590.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8434, Precision: 0.0087, AP: 0.2907
EVAL: Recall: 0.8434, Precison: 0.0087, mAP: 0.2907
EVAL: loss: total: 18.38, xy: 0.31, wh: 14.63, conf: 3.31, class: 0.14
======> Epoch: 14, global_step: 1590.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8434, Precision: 0.0087, AP: 0.2907
EVAL: Recall: 0.8434, Precison: 0.0087, mAP: 0.2907
EVAL: loss: total: 18.38, xy: 0.31, wh: 14.63, conf: 3.31, class: 0.14
############
Epoch: 15, global_step: 1600 | loss: total: 2.06, xy: 0.24, wh: 0.20, conf: 1.60, class: 0.02 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1610 | loss: total: 2.27, xy: 0.27, wh: 0.23, conf: 1.75, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.000169
Epoch: 15, global_step: 1620 | loss: total: 2.58, xy: 0.31, wh: 0.27, conf: 1.97, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1630 | loss: total: 2.54, xy: 0.33, wh: 0.26, conf: 1.92, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1640 | loss: total: 2.66, xy: 0.33, wh: 0.31, conf: 1.97, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 15, global_step: 1650 | loss: total: 2.61, xy: 0.33, wh: 0.29, conf: 1.93, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 15, global_step: 1660 | loss: total: 2.62, xy: 0.33, wh: 0.28, conf: 1.96, class: 0.05 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
Epoch: 15, global_step: 1670 | loss: total: 2.67, xy: 0.33, wh: 0.31, conf: 1.99, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1680 | loss: total: 2.86, xy: 0.33, wh: 0.44, conf: 2.05, class: 0.05 | Last batch: rec: 0.800, prec: 0.005 | lr: 0.000169
Epoch: 15, global_step: 1690 | loss: total: 2.85, xy: 0.33, wh: 0.42, conf: 2.05, class: 0.05 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.000169
======> Epoch: 15, global_step: 1696.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8790, Precision: 0.0104, AP: 0.4792
EVAL: Recall: 0.8790, Precison: 0.0104, mAP: 0.4792
EVAL: loss: total: 3.01, xy: 0.30, wh: 0.39, conf: 2.25, class: 0.07
############
Epoch: 16, global_step: 1700 | loss: total: 2.43, xy: 0.28, wh: 0.18, conf: 1.94, class: 0.02 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1710 | loss: total: 2.45, xy: 0.29, wh: 0.21, conf: 1.92, class: 0.03 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
Epoch: 16, global_step: 1720 | loss: total: 2.42, xy: 0.33, wh: 0.22, conf: 1.84, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1730 | loss: total: 2.45, xy: 0.34, wh: 0.22, conf: 1.85, class: 0.05 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.000169
Epoch: 16, global_step: 1740 | loss: total: 2.55, xy: 0.32, wh: 0.21, conf: 1.98, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1750 | loss: total: 2.62, xy: 0.32, wh: 0.20, conf: 2.06, class: 0.04 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
Epoch: 16, global_step: 1760 | loss: total: 2.56, xy: 0.31, wh: 0.19, conf: 2.02, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1770 | loss: total: 2.57, xy: 0.32, wh: 0.19, conf: 2.02, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1780 | loss: total: 2.55, xy: 0.31, wh: 0.19, conf: 2.00, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1790 | loss: total: 2.51, xy: 0.31, wh: 0.19, conf: 1.98, class: 0.04 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
Epoch: 16, global_step: 1800 | loss: total: 2.50, xy: 0.31, wh: 0.18, conf: 1.96, class: 0.04 | Last batch: rec: 0.941, prec: 0.011 | lr: 0.000169
======> Epoch: 16, global_step: 1802.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0103, AP: 0.4616
EVAL: Recall: 0.8541, Precison: 0.0103, mAP: 0.4616
EVAL: loss: total: 2.90, xy: 0.29, wh: 0.41, conf: 2.14, class: 0.05
======> Epoch: 16, global_step: 1802.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8541, Precision: 0.0103, AP: 0.4616
EVAL: Recall: 0.8541, Precison: 0.0103, mAP: 0.4616
EVAL: loss: total: 2.90, xy: 0.29, wh: 0.41, conf: 2.14, class: 0.05
############
Epoch: 17, global_step: 1810 | loss: total: 2.66, xy: 0.31, wh: 0.27, conf: 2.04, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1820 | loss: total: 2.48, xy: 0.35, wh: 0.23, conf: 1.87, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1830 | loss: total: 2.39, xy: 0.33, wh: 0.22, conf: 1.80, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 17, global_step: 1840 | loss: total: 2.29, xy: 0.32, wh: 0.21, conf: 1.73, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1850 | loss: total: 2.36, xy: 0.30, wh: 0.21, conf: 1.82, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1860 | loss: total: 2.40, xy: 0.30, wh: 0.20, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0002197
Epoch: 17, global_step: 1870 | loss: total: 2.44, xy: 0.31, wh: 0.20, conf: 1.90, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1880 | loss: total: 2.45, xy: 0.32, wh: 0.20, conf: 1.90, class: 0.03 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1890 | loss: total: 2.42, xy: 0.31, wh: 0.20, conf: 1.88, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1900 | loss: total: 2.42, xy: 0.31, wh: 0.20, conf: 1.87, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
======> Epoch: 17, global_step: 1908.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8968, Precision: 0.0089, AP: 0.3645
EVAL: Recall: 0.8968, Precison: 0.0089, mAP: 0.3645
EVAL: loss: total: 3.49, xy: 0.28, wh: 0.40, conf: 2.75, class: 0.05
############
Epoch: 18, global_step: 1910 | loss: total: 2.26, xy: 0.28, wh: 0.11, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 18, global_step: 1920 | loss: total: 2.92, xy: 0.32, wh: 0.21, conf: 2.34, class: 0.05 | Last batch: rec: 0.875, prec: 0.009 | lr: 0.0002197
Epoch: 18, global_step: 1930 | loss: total: 2.83, xy: 0.29, wh: 0.28, conf: 2.20, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1940 | loss: total: 2.49, xy: 0.27, wh: 0.24, conf: 1.93, class: 0.05 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1950 | loss: total: 2.48, xy: 0.28, wh: 0.23, conf: 1.93, class: 0.05 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.0002197
Epoch: 18, global_step: 1960 | loss: total: 2.46, xy: 0.29, wh: 0.21, conf: 1.92, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1970 | loss: total: 2.48, xy: 0.30, wh: 0.21, conf: 1.93, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1980 | loss: total: 2.44, xy: 0.30, wh: 0.20, conf: 1.90, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1990 | loss: total: 2.42, xy: 0.31, wh: 0.20, conf: 1.88, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 2000 | loss: total: 2.40, xy: 0.31, wh: 0.20, conf: 1.86, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 2010 | loss: total: 2.44, xy: 0.31, wh: 0.20, conf: 1.89, class: 0.04 | Last batch: rec: 0.833, prec: 0.010 | lr: 0.0002197
======> Epoch: 18, global_step: 2014.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8968, Precision: 0.0128, AP: 0.3460
EVAL: Recall: 0.8968, Precison: 0.0128, mAP: 0.3460
EVAL: loss: total: 3.35, xy: 0.29, wh: 0.44, conf: 2.56, class: 0.05
======> Epoch: 18, global_step: 2014.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8968, Precision: 0.0128, AP: 0.3460
EVAL: Recall: 0.8968, Precison: 0.0128, mAP: 0.3460
EVAL: loss: total: 3.35, xy: 0.29, wh: 0.44, conf: 2.56, class: 0.05
############
Epoch: 19, global_step: 2020 | loss: total: 3.58, xy: 0.40, wh: 0.26, conf: 2.86, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2030 | loss: total: 3.18, xy: 0.37, wh: 0.23, conf: 2.53, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2040 | loss: total: 2.81, xy: 0.35, wh: 0.21, conf: 2.20, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 19, global_step: 2050 | loss: total: 2.63, xy: 0.36, wh: 0.20, conf: 2.03, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2060 | loss: total: 2.50, xy: 0.35, wh: 0.18, conf: 1.93, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2070 | loss: total: 2.52, xy: 0.34, wh: 0.18, conf: 1.96, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2080 | loss: total: 2.53, xy: 0.33, wh: 0.22, conf: 1.94, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 19, global_step: 2090 | loss: total: 2.52, xy: 0.33, wh: 0.22, conf: 1.94, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2100 | loss: total: 2.54, xy: 0.32, wh: 0.25, conf: 1.94, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2110 | loss: total: 2.54, xy: 0.32, wh: 0.25, conf: 1.93, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2120 | loss: total: 2.49, xy: 0.32, wh: 0.24, conf: 1.90, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
======> Epoch: 19, global_step: 2120.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8932, Precision: 0.0078, AP: 0.3460
EVAL: Recall: 0.8932, Precison: 0.0078, mAP: 0.3460
EVAL: loss: total: 3.02, xy: 0.29, wh: 0.47, conf: 2.22, class: 0.04
############
Epoch: 20, global_step: 2130 | loss: total: 2.39, xy: 0.35, wh: 0.26, conf: 1.75, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 20, global_step: 2140 | loss: total: 2.66, xy: 0.36, wh: 0.23, conf: 2.03, class: 0.04 | Last batch: rec: 0.944, prec: 0.011 | lr: 0.0002197
Epoch: 20, global_step: 2150 | loss: total: 2.53, xy: 0.33, wh: 0.21, conf: 1.95, class: 0.04 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.0002197
Epoch: 20, global_step: 2160 | loss: total: 2.41, xy: 0.32, wh: 0.19, conf: 1.87, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2170 | loss: total: 2.40, xy: 0.32, wh: 0.19, conf: 1.86, class: 0.04 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2180 | loss: total: 2.34, xy: 0.31, wh: 0.18, conf: 1.81, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 20, global_step: 2190 | loss: total: 2.35, xy: 0.32, wh: 0.18, conf: 1.83, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2200 | loss: total: 2.36, xy: 0.32, wh: 0.18, conf: 1.83, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 20, global_step: 2210 | loss: total: 2.42, xy: 0.32, wh: 0.20, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2220 | loss: total: 2.43, xy: 0.32, wh: 0.21, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
======> Epoch: 20, global_step: 2226.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0077, AP: 0.5270
EVAL: Recall: 0.9146, Precison: 0.0077, mAP: 0.5270
EVAL: loss: total: 2.85, xy: 0.29, wh: 0.41, conf: 2.11, class: 0.04
======> Epoch: 20, global_step: 2226.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0077, AP: 0.5270
EVAL: Recall: 0.9146, Precison: 0.0077, mAP: 0.5270
EVAL: loss: total: 2.85, xy: 0.29, wh: 0.41, conf: 2.11, class: 0.04
############
Epoch: 21, global_step: 2230 | loss: total: 2.49, xy: 0.33, wh: 0.18, conf: 1.95, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2240 | loss: total: 2.55, xy: 0.30, wh: 0.41, conf: 1.81, class: 0.03 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2250 | loss: total: 2.53, xy: 0.28, wh: 0.30, conf: 1.91, class: 0.04 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0002197
Epoch: 21, global_step: 2260 | loss: total: 2.40, xy: 0.28, wh: 0.25, conf: 1.83, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2270 | loss: total: 3.80, xy: 0.30, wh: 1.33, conf: 2.14, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0002197
Epoch: 21, global_step: 2280 | loss: total: 3.44, xy: 0.30, wh: 1.11, conf: 2.00, class: 0.03 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2290 | loss: total: 3.24, xy: 0.30, wh: 0.96, conf: 1.95, class: 0.03 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2300 | loss: total: 3.15, xy: 0.30, wh: 0.86, conf: 1.96, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2310 | loss: total: 3.02, xy: 0.31, wh: 0.77, conf: 1.91, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2320 | loss: total: 3.00, xy: 0.32, wh: 0.72, conf: 1.93, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2330 | loss: total: 4.05, xy: 0.32, wh: 1.64, conf: 2.06, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
======> Epoch: 21, global_step: 2332.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8043, Precision: 0.0076, AP: 0.2532
EVAL: Recall: 0.8043, Precison: 0.0076, mAP: 0.2532
EVAL: loss: total: 72.77, xy: 0.39, wh: 56.35, conf: 15.16, class: 0.87
############
Epoch: 22, global_step: 2340 | loss: total: 1.96, xy: 0.35, wh: 0.17, conf: 1.43, class: 0.01 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 22, global_step: 2350 | loss: total: 2.15, xy: 0.30, wh: 0.17, conf: 1.66, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2360 | loss: total: 2.06, xy: 0.28, wh: 0.16, conf: 1.60, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 22, global_step: 2370 | loss: total: 2.17, xy: 0.29, wh: 0.18, conf: 1.68, class: 0.02 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
Epoch: 22, global_step: 2380 | loss: total: 2.20, xy: 0.30, wh: 0.19, conf: 1.69, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2390 | loss: total: 2.33, xy: 0.31, wh: 0.21, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 22, global_step: 2400 | loss: total: 2.32, xy: 0.31, wh: 0.21, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 22, global_step: 2410 | loss: total: 2.36, xy: 0.31, wh: 0.24, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2420 | loss: total: 2.37, xy: 0.32, wh: 0.23, conf: 1.79, class: 0.03 | Last batch: rec: 0.800, prec: 0.006 | lr: 0.00028561
Epoch: 22, global_step: 2430 | loss: total: 2.42, xy: 0.32, wh: 0.23, conf: 1.84, class: 0.03 | Last batch: rec: 0.875, prec: 0.010 | lr: 0.00028561
======> Epoch: 22, global_step: 2438.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8861, Precision: 0.0080, AP: 0.4469
EVAL: Recall: 0.8861, Precison: 0.0080, mAP: 0.4469
EVAL: loss: total: 5.32, xy: 0.30, wh: 1.98, conf: 2.93, class: 0.12
======> Epoch: 22, global_step: 2438.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8861, Precision: 0.0080, AP: 0.4469
EVAL: Recall: 0.8861, Precison: 0.0080, mAP: 0.4469
EVAL: loss: total: 5.32, xy: 0.30, wh: 1.98, conf: 2.93, class: 0.12
############
Epoch: 23, global_step: 2440 | loss: total: 2.41, xy: 0.22, wh: 0.09, conf: 2.08, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2450 | loss: total: 2.16, xy: 0.26, wh: 0.18, conf: 1.70, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2460 | loss: total: 2.26, xy: 0.28, wh: 0.28, conf: 1.68, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2470 | loss: total: 2.42, xy: 0.31, wh: 0.28, conf: 1.81, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 23, global_step: 2480 | loss: total: 2.34, xy: 0.29, wh: 0.25, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2490 | loss: total: 2.30, xy: 0.29, wh: 0.22, conf: 1.76, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2500 | loss: total: 2.34, xy: 0.30, wh: 0.22, conf: 1.79, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2510 | loss: total: 2.36, xy: 0.30, wh: 0.22, conf: 1.81, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2520 | loss: total: 3.15, xy: 0.30, wh: 0.91, conf: 1.90, class: 0.04 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2530 | loss: total: 3.03, xy: 0.30, wh: 0.83, conf: 1.87, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2540 | loss: total: 3.00, xy: 0.30, wh: 0.78, conf: 1.88, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
======> Epoch: 23, global_step: 2544.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0078, AP: 0.4330
EVAL: Recall: 0.9146, Precison: 0.0078, mAP: 0.4330
EVAL: loss: total: 2.89, xy: 0.28, wh: 0.41, conf: 2.16, class: 0.04
############
Epoch: 24, global_step: 2550 | loss: total: 2.08, xy: 0.28, wh: 0.25, conf: 1.51, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2560 | loss: total: 2.36, xy: 0.28, wh: 0.23, conf: 1.82, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2570 | loss: total: 2.60, xy: 0.29, wh: 0.24, conf: 2.04, class: 0.04 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
Epoch: 24, global_step: 2580 | loss: total: 2.56, xy: 0.30, wh: 0.27, conf: 1.96, class: 0.04 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2590 | loss: total: 2.52, xy: 0.30, wh: 0.25, conf: 1.94, class: 0.04 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.00028561
Epoch: 24, global_step: 2600 | loss: total: 2.45, xy: 0.30, wh: 0.22, conf: 1.90, class: 0.03 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2610 | loss: total: 2.43, xy: 0.30, wh: 0.21, conf: 1.88, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2620 | loss: total: 2.41, xy: 0.31, wh: 0.21, conf: 1.86, class: 0.04 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2630 | loss: total: 2.34, xy: 0.30, wh: 0.19, conf: 1.81, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2640 | loss: total: 2.41, xy: 0.30, wh: 0.20, conf: 1.87, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 24, global_step: 2650 | loss: total: 2.36, xy: 0.30, wh: 0.19, conf: 1.84, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
======> Epoch: 24, global_step: 2650.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9181, Precision: 0.0076, AP: 0.5183
EVAL: Recall: 0.9181, Precison: 0.0076, mAP: 0.5183
EVAL: loss: total: 3.07, xy: 0.30, wh: 0.53, conf: 2.22, class: 0.03
======> Epoch: 24, global_step: 2650.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9181, Precision: 0.0076, AP: 0.5183
EVAL: Recall: 0.9181, Precison: 0.0076, mAP: 0.5183
EVAL: loss: total: 3.07, xy: 0.30, wh: 0.53, conf: 2.22, class: 0.03
############
Epoch: 25, global_step: 2660 | loss: total: 2.09, xy: 0.26, wh: 0.14, conf: 1.67, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2670 | loss: total: 1.98, xy: 0.26, wh: 0.12, conf: 1.57, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2680 | loss: total: 1.99, xy: 0.27, wh: 0.13, conf: 1.56, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2690 | loss: total: 1.99, xy: 0.29, wh: 0.14, conf: 1.54, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2700 | loss: total: 2.13, xy: 0.29, wh: 0.17, conf: 1.63, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2710 | loss: total: 2.10, xy: 0.29, wh: 0.17, conf: 1.61, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2720 | loss: total: 2.13, xy: 0.30, wh: 0.16, conf: 1.64, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2730 | loss: total: 2.17, xy: 0.29, wh: 0.16, conf: 1.69, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2740 | loss: total: 2.29, xy: 0.30, wh: 0.21, conf: 1.76, class: 0.03 | Last batch: rec: 0.800, prec: 0.011 | lr: 0.00028561
Epoch: 25, global_step: 2750 | loss: total: 2.26, xy: 0.29, wh: 0.20, conf: 1.74, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
======> Epoch: 25, global_step: 2756.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8719, Precision: 0.0073, AP: 0.4604
EVAL: Recall: 0.8719, Precison: 0.0073, mAP: 0.4604
EVAL: loss: total: 3.10, xy: 0.28, wh: 0.40, conf: 2.37, class: 0.04
############
Epoch: 26, global_step: 2760 | loss: total: 3.09, xy: 0.42, wh: 0.34, conf: 2.26, class: 0.06 | Last batch: rec: 0.937, prec: 0.010 | lr: 0.00028561
Epoch: 26, global_step: 2770 | loss: total: 2.53, xy: 0.38, wh: 0.26, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2780 | loss: total: 3.76, xy: 0.38, wh: 1.28, conf: 2.07, class: 0.04 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 26, global_step: 2790 | loss: total: 3.87, xy: 0.37, wh: 1.39, conf: 2.07, class: 0.04 | Last batch: rec: 0.769, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2800 | loss: total: 3.60, xy: 0.35, wh: 1.13, conf: 2.08, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2810 | loss: total: 3.35, xy: 0.34, wh: 0.96, conf: 2.00, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2820 | loss: total: 3.24, xy: 0.33, wh: 0.85, conf: 2.01, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2830 | loss: total: 3.12, xy: 0.34, wh: 0.76, conf: 1.98, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 26, global_step: 2840 | loss: total: 3.02, xy: 0.33, wh: 0.69, conf: 1.95, class: 0.05 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2850 | loss: total: 2.91, xy: 0.32, wh: 0.64, conf: 1.90, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2860 | loss: total: 2.92, xy: 0.33, wh: 0.60, conf: 1.94, class: 0.04 | Last batch: rec: 0.941, prec: 0.011 | lr: 0.00028561
======> Epoch: 26, global_step: 2862.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9253, Precision: 0.0089, AP: 0.2901
EVAL: Recall: 0.9253, Precison: 0.0089, mAP: 0.2901
EVAL: loss: total: 3.09, xy: 0.29, wh: 0.49, conf: 2.28, class: 0.04
======> Epoch: 26, global_step: 2862.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9253, Precision: 0.0089, AP: 0.2901
EVAL: Recall: 0.9253, Precison: 0.0089, mAP: 0.2901
EVAL: loss: total: 3.09, xy: 0.29, wh: 0.49, conf: 2.28, class: 0.04
############
Epoch: 27, global_step: 2870 | loss: total: 2.43, xy: 0.28, wh: 0.16, conf: 1.95, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2880 | loss: total: 2.51, xy: 0.31, wh: 0.18, conf: 1.98, class: 0.04 | Last batch: rec: 0.895, prec: 0.011 | lr: 0.00037129
Epoch: 27, global_step: 2890 | loss: total: 2.31, xy: 0.32, wh: 0.17, conf: 1.79, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2900 | loss: total: 2.27, xy: 0.32, wh: 0.16, conf: 1.76, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2910 | loss: total: 2.26, xy: 0.31, wh: 0.16, conf: 1.76, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2920 | loss: total: 2.25, xy: 0.32, wh: 0.16, conf: 1.74, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2930 | loss: total: 2.19, xy: 0.32, wh: 0.16, conf: 1.68, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2940 | loss: total: 2.21, xy: 0.32, wh: 0.16, conf: 1.69, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2950 | loss: total: 2.23, xy: 0.32, wh: 0.17, conf: 1.71, class: 0.03 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2960 | loss: total: 2.21, xy: 0.32, wh: 0.17, conf: 1.69, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
======> Epoch: 27, global_step: 2968.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.8932, Precision: 0.0093, AP: 0.5071
EVAL: Recall: 0.8932, Precison: 0.0093, mAP: 0.5071
EVAL: loss: total: 3.23, xy: 0.29, wh: 0.39, conf: 2.50, class: 0.05
############
Epoch: 28, global_step: 2970 | loss: total: 3.28, xy: 0.38, wh: 0.42, conf: 2.46, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 2980 | loss: total: 2.33, xy: 0.24, wh: 0.24, conf: 1.82, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 2990 | loss: total: 23.05, xy: 0.33, wh: 19.20, conf: 3.41, class: 0.10 | Last batch: rec: 0.867, prec: 0.009 | lr: 0.00037129
Epoch: 28, global_step: 3000 | loss: total: 31.30, xy: 0.33, wh: 26.40, conf: 4.42, class: 0.15 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00037129
Epoch: 28, global_step: 3010 | loss: total: 28.22, xy: 0.33, wh: 23.41, conf: 4.34, class: 0.14 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00037129
Epoch: 28, global_step: 3020 | loss: total: 24.53, xy: 0.33, wh: 19.96, conf: 4.11, class: 0.14 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3030 | loss: total: 21.20, xy: 0.33, wh: 16.79, conf: 3.94, class: 0.14 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3040 | loss: total: 18.84, xy: 0.35, wh: 14.54, conf: 3.81, class: 0.14 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3050 | loss: total: 16.90, xy: 0.34, wh: 12.79, conf: 3.64, class: 0.13 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3060 | loss: total: 15.40, xy: 0.34, wh: 11.43, conf: 3.50, class: 0.12 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3070 | loss: total: 14.22, xy: 0.33, wh: 10.34, conf: 3.43, class: 0.12 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.00037129
======> Epoch: 28, global_step: 3074.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.0819, Precision: 0.0010, AP: 0.0074
EVAL: Recall: 0.0819, Precison: 0.0010, mAP: 0.0074
EVAL: loss: total: 2656.55, xy: 1.08, wh: 770.56, conf: 1882.97, class: 1.94
======> Epoch: 28, global_step: 3074.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.0819, Precision: 0.0010, AP: 0.0074
EVAL: Recall: 0.0819, Precison: 0.0010, mAP: 0.0074
EVAL: loss: total: 2656.55, xy: 1.08, wh: 770.56, conf: 1882.97, class: 1.94
############
Epoch: 29, global_step: 3080 | loss: total: 2.83, xy: 0.28, wh: 0.18, conf: 2.29, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3090 | loss: total: 2.53, xy: 0.25, wh: 0.16, conf: 2.05, class: 0.07 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.00037129
Epoch: 29, global_step: 3100 | loss: total: 2.87, xy: 0.28, wh: 0.22, conf: 2.30, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 29, global_step: 3110 | loss: total: 4.36, xy: 0.29, wh: 1.70, conf: 2.30, class: 0.06 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
Epoch: 29, global_step: 3120 | loss: total: 4.75, xy: 0.30, wh: 2.04, conf: 2.35, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3130 | loss: total: 4.42, xy: 0.30, wh: 1.72, conf: 2.34, class: 0.06 | Last batch: rec: 0.800, prec: 0.005 | lr: 0.00037129
Epoch: 29, global_step: 3140 | loss: total: 4.30, xy: 0.31, wh: 1.54, conf: 2.38, class: 0.07 | Last batch: rec: 0.786, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3150 | loss: total: 4.09, xy: 0.31, wh: 1.36, conf: 2.35, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3160 | loss: total: 3.92, xy: 0.31, wh: 1.23, conf: 2.31, class: 0.07 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3170 | loss: total: 3.81, xy: 0.31, wh: 1.12, conf: 2.31, class: 0.07 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00037129
Epoch: 29, global_step: 3180 | loss: total: 3.74, xy: 0.31, wh: 1.04, conf: 2.32, class: 0.06 | Last batch: rec: 0.500, prec: 0.003 | lr: 0.00037129
======> Epoch: 29, global_step: 3180.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.8078, Precision: 0.0067, AP: 0.2804
EVAL: Recall: 0.8078, Precison: 0.0067, mAP: 0.2804
EVAL: loss: total: 39.55, xy: 0.35, wh: 31.80, conf: 7.24, class: 0.17
############
Epoch: 30, global_step: 3190 | loss: total: 3.10, xy: 0.33, wh: 0.24, conf: 2.48, class: 0.05 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00037129
Epoch: 30, global_step: 3200 | loss: total: nan, xy: nan, wh: nan, conf: nan, class: nan | Last batch: rec: 0.000, prec: 0.000 | lr: 0.00037129
###Training Start###
batch_size=10
train_images_count=1052
epoches=40
learning_type=exponential
update_all=True
Epoch: 0, global_step: 10 | loss: total: 5667.78, xy: 0.51, wh: 12.73, conf: 5653.45, class: 1.08 | Last batch: rec: 0.118, prec: 0.001 | lr: 0
Epoch: 0, global_step: 20 | loss: total: 4450.08, xy: 0.54, wh: 10.43, conf: 4438.11, class: 0.99 | Last batch: rec: 0.500, prec: 0.003 | lr: 0
Epoch: 0, global_step: 30 | loss: total: 3724.14, xy: 0.57, wh: 11.47, conf: 3711.10, class: 1.01 | Last batch: rec: 0.182, prec: 0.001 | lr: 0
Epoch: 0, global_step: 40 | loss: total: 3749.91, xy: 0.55, wh: 11.14, conf: 3737.25, class: 0.98 | Last batch: rec: 0.273, prec: 0.002 | lr: 0
Epoch: 0, global_step: 50 | loss: total: 3767.03, xy: 0.56, wh: 12.49, conf: 3752.99, class: 0.98 | Last batch: rec: 0.214, prec: 0.002 | lr: 0
Epoch: 0, global_step: 60 | loss: total: 4472.86, xy: 0.55, wh: 12.71, conf: 4458.62, class: 0.98 | Last batch: rec: 0.267, prec: 0.003 | lr: 0
Epoch: 0, global_step: 70 | loss: total: 4994.72, xy: 0.53, wh: 11.86, conf: 4981.36, class: 0.97 | Last batch: rec: 0.167, prec: 0.001 | lr: 0
Epoch: 0, global_step: 80 | loss: total: 5003.57, xy: 0.53, wh: 11.29, conf: 4990.78, class: 0.97 | Last batch: rec: 0.500, prec: 0.003 | lr: 0
Epoch: 0, global_step: 90 | loss: total: 4874.00, xy: 0.52, wh: 10.97, conf: 4861.54, class: 0.97 | Last batch: rec: 0.364, prec: 0.003 | lr: 0
Epoch: 0, global_step: 100 | loss: total: 5033.52, xy: 0.51, wh: 10.30, conf: 5021.76, class: 0.95 | Last batch: rec: 0.091, prec: 0.001 | lr: 0
###Training Start###
batch_size=10
train_images_count=1052
epoches=40
learning_type=exponential
update_all=True
Epoch: 0, global_step: 10 | loss: total: 5105.00, xy: 0.67, wh: 14.33, conf: 5089.00, class: 0.99 | Last batch: rec: 0.400, prec: 0.003 | lr: 0
Epoch: 0, global_step: 20 | loss: total: 3984.02, xy: 0.65, wh: 13.52, conf: 3968.87, class: 0.98 | Last batch: rec: 0.500, prec: 0.003 | lr: 0
Epoch: 0, global_step: 30 | loss: total: 3328.77, xy: 0.63, wh: 12.25, conf: 3314.94, class: 0.94 | Last batch: rec: 0.500, prec: 0.003 | lr: 0
Epoch: 0, global_step: 40 | loss: total: 3342.17, xy: 0.62, wh: 12.76, conf: 3327.84, class: 0.95 | Last batch: rec: 0.400, prec: 0.003 | lr: 0
Epoch: 0, global_step: 50 | loss: total: 3342.28, xy: 0.61, wh: 11.73, conf: 3328.99, class: 0.96 | Last batch: rec: 0.333, prec: 0.003 | lr: 0
Epoch: 0, global_step: 60 | loss: total: 3964.05, xy: 0.59, wh: 12.08, conf: 3950.40, class: 0.98 | Last batch: rec: 0.333, prec: 0.003 | lr: 0
Epoch: 0, global_step: 70 | loss: total: 4409.96, xy: 0.58, wh: 10.98, conf: 4397.40, class: 1.01 | Last batch: rec: 0.364, prec: 0.003 | lr: 0
Epoch: 0, global_step: 80 | loss: total: 4417.46, xy: 0.57, wh: 10.52, conf: 4405.37, class: 1.00 | Last batch: rec: 0.250, prec: 0.002 | lr: 0
Epoch: 0, global_step: 90 | loss: total: 4303.41, xy: 0.56, wh: 10.35, conf: 4291.49, class: 1.01 | Last batch: rec: 0.231, prec: 0.002 | lr: 0
Epoch: 0, global_step: 100 | loss: total: 4439.53, xy: 0.57, wh: 10.58, conf: 4427.36, class: 1.03 | Last batch: rec: 0.400, prec: 0.003 | lr: 0
======> Epoch: 0, global_step: 106.0, lr: 0 <======
EVAL: Class 0: Recall: 0.1993, Precision: 0.0017, AP: 0.0003
EVAL: Recall: 0.1993, Precison: 0.0017, mAP: 0.0003
EVAL: loss: total: 2208.68, xy: 0.30, wh: 0.51, conf: 2207.03, class: 0.85
############
Epoch: 1, global_step: 110 | loss: total: 7031.41, xy: 0.57, wh: 24.95, conf: 7004.81, class: 1.07 | Last batch: rec: 0.333, prec: 0.003 | lr: 0
Epoch: 1, global_step: 120 | loss: total: 6739.40, xy: 0.54, wh: 15.83, conf: 6722.00, class: 1.02 | Last batch: rec: 0.417, prec: 0.003 | lr: 0
Epoch: 1, global_step: 130 | loss: total: 6596.64, xy: 0.54, wh: 16.00, conf: 6578.96, class: 1.14 | Last batch: rec: 0.300, prec: 0.002 | lr: 0
Epoch: 1, global_step: 140 | loss: total: 6192.35, xy: 0.56, wh: 14.09, conf: 6176.57, class: 1.13 | Last batch: rec: 0.444, prec: 0.005 | lr: 0
Epoch: 1, global_step: 150 | loss: total: 6148.65, xy: 0.53, wh: 14.77, conf: 6132.21, class: 1.15 | Last batch: rec: 0.200, prec: 0.001 | lr: 0
Epoch: 1, global_step: 160 | loss: total: 6096.26, xy: 0.54, wh: 13.67, conf: 6080.90, class: 1.15 | Last batch: rec: 0.273, prec: 0.002 | lr: 0
Epoch: 1, global_step: 170 | loss: total: 5777.93, xy: 0.54, wh: 13.21, conf: 5763.07, class: 1.11 | Last batch: rec: 0.700, prec: 0.005 | lr: 0
Epoch: 1, global_step: 180 | loss: total: 5645.00, xy: 0.54, wh: 12.87, conf: 5630.49, class: 1.10 | Last batch: rec: 0.182, prec: 0.001 | lr: 0
Epoch: 1, global_step: 190 | loss: total: 5612.17, xy: 0.54, wh: 12.58, conf: 5597.96, class: 1.08 | Last batch: rec: 0.467, prec: 0.005 | lr: 0
Epoch: 1, global_step: 200 | loss: total: 5384.27, xy: 0.55, wh: 12.76, conf: 5369.90, class: 1.06 | Last batch: rec: 0.308, prec: 0.003 | lr: 0
Epoch: 1, global_step: 210 | loss: total: 5075.94, xy: 0.55, wh: 12.58, conf: 5061.76, class: 1.06 | Last batch: rec: 0.545, prec: 0.004 | lr: 0
======> Epoch: 1, global_step: 212.0, lr: 0 <======
EVAL: Class 0: Recall: 0.4093, Precision: 0.0034, AP: 0.0015
EVAL: Recall: 0.4093, Precison: 0.0034, mAP: 0.0015
EVAL: loss: total: 2467.71, xy: 0.31, wh: 0.88, conf: 2465.69, class: 0.84
############
Epoch: 2, global_step: 220 | loss: total: 895.18, xy: 0.51, wh: 7.26, conf: 886.48, class: 0.93 | Last batch: rec: 0.250, prec: 0.002 | lr: 0.0001
Epoch: 2, global_step: 230 | loss: total: 410.25, xy: 0.42, wh: 9.42, conf: 399.38, class: 1.03 | Last batch: rec: 0.700, prec: 0.005 | lr: 0.0001
Epoch: 2, global_step: 240 | loss: total: 276.87, xy: 0.40, wh: 15.26, conf: 260.21, class: 1.00 | Last batch: rec: 0.500, prec: 0.007 | lr: 0.0001
Epoch: 2, global_step: 250 | loss: total: 207.25, xy: 0.42, wh: 12.36, conf: 193.50, class: 0.96 | Last batch: rec: 0.727, prec: 0.007 | lr: 0.0001
Epoch: 2, global_step: 260 | loss: total: 166.44, xy: 0.41, wh: 10.74, conf: 154.37, class: 0.91 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.0001
Epoch: 2, global_step: 270 | loss: total: 138.99, xy: 0.40, wh: 9.28, conf: 128.43, class: 0.87 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 2, global_step: 280 | loss: total: 119.47, xy: 0.40, wh: 8.07, conf: 110.16, class: 0.84 | Last batch: rec: 0.471, prec: 0.006 | lr: 0.0001
Epoch: 2, global_step: 290 | loss: total: 104.84, xy: 0.40, wh: 7.18, conf: 96.46, class: 0.80 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 2, global_step: 300 | loss: total: 93.46, xy: 0.39, wh: 6.43, conf: 85.88, class: 0.76 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0001
Epoch: 2, global_step: 310 | loss: total: 85.26, xy: 0.40, wh: 6.58, conf: 77.55, class: 0.74 | Last batch: rec: 0.909, prec: 0.008 | lr: 0.0001
======> Epoch: 2, global_step: 318.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.6584, Precision: 0.0062, AP: 0.1810
EVAL: Recall: 0.6584, Precison: 0.0062, mAP: 0.1810
EVAL: loss: total: 263.56, xy: 0.46, wh: 126.79, conf: 120.18, class: 16.12
======> Epoch: 2, global_step: 318.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.6584, Precision: 0.0062, AP: 0.1810
EVAL: Recall: 0.6584, Precison: 0.0062, mAP: 0.1810
EVAL: loss: total: 263.56, xy: 0.46, wh: 126.79, conf: 120.18, class: 16.12
############
Epoch: 3, global_step: 320 | loss: total: 3.96, xy: 0.28, wh: 0.65, conf: 2.70, class: 0.33 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 330 | loss: total: 4.83, xy: 0.42, wh: 0.57, conf: 3.40, class: 0.44 | Last batch: rec: 0.700, prec: 0.010 | lr: 0.0001
Epoch: 3, global_step: 340 | loss: total: 4.48, xy: 0.42, wh: 0.55, conf: 3.09, class: 0.42 | Last batch: rec: 0.900, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 350 | loss: total: 5.41, xy: 0.41, wh: 1.41, conf: 3.18, class: 0.42 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 360 | loss: total: 5.07, xy: 0.39, wh: 1.19, conf: 3.10, class: 0.40 | Last batch: rec: 0.636, prec: 0.005 | lr: 0.0001
Epoch: 3, global_step: 370 | loss: total: 5.14, xy: 0.38, wh: 1.21, conf: 3.15, class: 0.40 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 380 | loss: total: 5.84, xy: 0.40, wh: 1.79, conf: 3.25, class: 0.40 | Last batch: rec: 0.727, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 390 | loss: total: 5.53, xy: 0.38, wh: 1.60, conf: 3.16, class: 0.38 | Last batch: rec: 0.818, prec: 0.006 | lr: 0.0001
Epoch: 3, global_step: 400 | loss: total: 5.37, xy: 0.38, wh: 1.46, conf: 3.16, class: 0.37 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 3, global_step: 410 | loss: total: 5.22, xy: 0.38, wh: 1.34, conf: 3.13, class: 0.36 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 3, global_step: 420 | loss: total: 5.03, xy: 0.38, wh: 1.24, conf: 3.06, class: 0.35 | Last batch: rec: 0.933, prec: 0.009 | lr: 0.0001
======> Epoch: 3, global_step: 424.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.7722, Precision: 0.0117, AP: 0.3233
EVAL: Recall: 0.7722, Precison: 0.0117, mAP: 0.3233
EVAL: loss: total: 4.80, xy: 0.31, wh: 0.53, conf: 3.62, class: 0.34
############
Epoch: 4, global_step: 430 | loss: total: 3.98, xy: 0.37, wh: 0.47, conf: 2.93, class: 0.22 | Last batch: rec: 0.857, prec: 0.008 | lr: 0.0001
Epoch: 4, global_step: 440 | loss: total: 3.96, xy: 0.35, wh: 0.45, conf: 2.93, class: 0.24 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 450 | loss: total: 3.80, xy: 0.33, wh: 0.41, conf: 2.83, class: 0.22 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 460 | loss: total: 3.70, xy: 0.33, wh: 0.37, conf: 2.76, class: 0.24 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 4, global_step: 470 | loss: total: 3.62, xy: 0.35, wh: 0.34, conf: 2.70, class: 0.23 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 4, global_step: 480 | loss: total: 3.54, xy: 0.33, wh: 0.38, conf: 2.60, class: 0.23 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 490 | loss: total: 3.57, xy: 0.34, wh: 0.37, conf: 2.63, class: 0.23 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 500 | loss: total: 3.66, xy: 0.35, wh: 0.41, conf: 2.67, class: 0.24 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0001
Epoch: 4, global_step: 510 | loss: total: 3.69, xy: 0.36, wh: 0.42, conf: 2.68, class: 0.23 | Last batch: rec: 0.750, prec: 0.006 | lr: 0.0001
Epoch: 4, global_step: 520 | loss: total: 3.65, xy: 0.36, wh: 0.41, conf: 2.66, class: 0.23 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 4, global_step: 530 | loss: total: 3.68, xy: 0.36, wh: 0.46, conf: 2.62, class: 0.23 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
======> Epoch: 4, global_step: 530.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.7900, Precision: 0.0084, AP: 0.3485
EVAL: Recall: 0.7900, Precison: 0.0084, mAP: 0.3485
EVAL: loss: total: 16.18, xy: 0.32, wh: 8.37, conf: 6.74, class: 0.75
======> Epoch: 4, global_step: 530.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.7900, Precision: 0.0084, AP: 0.3485
EVAL: Recall: 0.7900, Precison: 0.0084, mAP: 0.3485
EVAL: loss: total: 16.18, xy: 0.32, wh: 8.37, conf: 6.74, class: 0.75
############
Epoch: 5, global_step: 540 | loss: total: 9.73, xy: 0.36, wh: 4.45, conf: 4.53, class: 0.38 | Last batch: rec: 0.700, prec: 0.005 | lr: 0.0001
Epoch: 5, global_step: 550 | loss: total: 6.76, xy: 0.39, wh: 2.46, conf: 3.64, class: 0.28 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 5, global_step: 560 | loss: total: 5.86, xy: 0.40, wh: 1.81, conf: 3.39, class: 0.26 | Last batch: rec: 0.800, prec: 0.006 | lr: 0.0001
Epoch: 5, global_step: 570 | loss: total: 5.28, xy: 0.41, wh: 1.44, conf: 3.19, class: 0.24 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.0001
Epoch: 5, global_step: 580 | loss: total: 4.92, xy: 0.40, wh: 1.21, conf: 3.07, class: 0.24 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 590 | loss: total: 4.57, xy: 0.38, wh: 1.05, conf: 2.91, class: 0.22 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 600 | loss: total: 4.42, xy: 0.39, wh: 0.96, conf: 2.86, class: 0.22 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 5, global_step: 610 | loss: total: 4.27, xy: 0.39, wh: 0.87, conf: 2.80, class: 0.21 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0001
Epoch: 5, global_step: 620 | loss: total: 4.11, xy: 0.39, wh: 0.80, conf: 2.72, class: 0.20 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 5, global_step: 630 | loss: total: 3.96, xy: 0.37, wh: 0.74, conf: 2.65, class: 0.19 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
======> Epoch: 5, global_step: 636.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8719, Precision: 0.0107, AP: 0.4642
EVAL: Recall: 0.8719, Precison: 0.0107, mAP: 0.4642
EVAL: loss: total: 3.45, xy: 0.30, wh: 0.44, conf: 2.56, class: 0.15
############
Epoch: 6, global_step: 640 | loss: total: 2.40, xy: 0.37, wh: 0.17, conf: 1.80, class: 0.06 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0001
Epoch: 6, global_step: 650 | loss: total: 2.76, xy: 0.37, wh: 0.23, conf: 2.04, class: 0.12 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 660 | loss: total: 2.85, xy: 0.38, wh: 0.23, conf: 2.10, class: 0.14 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 6, global_step: 670 | loss: total: 3.11, xy: 0.36, wh: 0.24, conf: 2.36, class: 0.14 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 6, global_step: 680 | loss: total: 3.05, xy: 0.37, wh: 0.25, conf: 2.32, class: 0.13 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 690 | loss: total: 2.98, xy: 0.37, wh: 0.24, conf: 2.25, class: 0.12 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0001
Epoch: 6, global_step: 700 | loss: total: 3.09, xy: 0.38, wh: 0.24, conf: 2.34, class: 0.12 | Last batch: rec: 0.857, prec: 0.008 | lr: 0.0001
Epoch: 6, global_step: 710 | loss: total: 3.10, xy: 0.38, wh: 0.25, conf: 2.35, class: 0.12 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 720 | loss: total: 3.03, xy: 0.37, wh: 0.25, conf: 2.30, class: 0.11 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 730 | loss: total: 3.00, xy: 0.37, wh: 0.25, conf: 2.28, class: 0.10 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0001
Epoch: 6, global_step: 740 | loss: total: 2.99, xy: 0.36, wh: 0.25, conf: 2.28, class: 0.10 | Last batch: rec: 0.765, prec: 0.009 | lr: 0.0001
======> Epoch: 6, global_step: 742.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8754, Precision: 0.0105, AP: 0.4423
EVAL: Recall: 0.8754, Precison: 0.0105, mAP: 0.4423
EVAL: loss: total: 3.15, xy: 0.30, wh: 0.39, conf: 2.34, class: 0.12
======> Epoch: 6, global_step: 742.0, lr: 0.0001 <======
EVAL: Class 0: Recall: 0.8754, Precision: 0.0105, AP: 0.4423
EVAL: Recall: 0.8754, Precison: 0.0105, mAP: 0.4423
EVAL: loss: total: 3.15, xy: 0.30, wh: 0.39, conf: 2.34, class: 0.12
############
Epoch: 7, global_step: 750 | loss: total: 3.92, xy: 0.30, wh: 0.60, conf: 2.87, class: 0.16 | Last batch: rec: 0.882, prec: 0.010 | lr: 0.00013
Epoch: 7, global_step: 760 | loss: total: 3.25, xy: 0.33, wh: 0.40, conf: 2.40, class: 0.11 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00013
Epoch: 7, global_step: 770 | loss: total: 3.07, xy: 0.34, wh: 0.34, conf: 2.29, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 7, global_step: 780 | loss: total: 3.12, xy: 0.35, wh: 0.34, conf: 2.32, class: 0.11 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 790 | loss: total: 2.95, xy: 0.35, wh: 0.30, conf: 2.20, class: 0.10 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 800 | loss: total: 2.96, xy: 0.36, wh: 0.29, conf: 2.20, class: 0.11 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 7, global_step: 810 | loss: total: 2.91, xy: 0.36, wh: 0.28, conf: 2.16, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 7, global_step: 820 | loss: total: 2.90, xy: 0.37, wh: 0.28, conf: 2.15, class: 0.09 | Last batch: rec: 0.933, prec: 0.009 | lr: 0.00013
Epoch: 7, global_step: 830 | loss: total: 2.86, xy: 0.37, wh: 0.28, conf: 2.12, class: 0.09 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 7, global_step: 840 | loss: total: 2.84, xy: 0.36, wh: 0.27, conf: 2.11, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
======> Epoch: 7, global_step: 848.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.9039, Precision: 0.0087, AP: 0.3012
EVAL: Recall: 0.9039, Precison: 0.0087, mAP: 0.3012
EVAL: loss: total: 4.01, xy: 0.30, wh: 0.52, conf: 3.03, class: 0.15
############
Epoch: 8, global_step: 850 | loss: total: 3.33, xy: 0.45, wh: 0.24, conf: 2.60, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 860 | loss: total: 2.97, xy: 0.38, wh: 0.26, conf: 2.25, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 870 | loss: total: 2.70, xy: 0.37, wh: 0.22, conf: 2.04, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 880 | loss: total: 2.56, xy: 0.35, wh: 0.20, conf: 1.93, class: 0.08 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00013
Epoch: 8, global_step: 890 | loss: total: 2.66, xy: 0.35, wh: 0.23, conf: 2.00, class: 0.08 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 8, global_step: 900 | loss: total: 2.74, xy: 0.35, wh: 0.25, conf: 2.05, class: 0.09 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.00013
Epoch: 8, global_step: 910 | loss: total: 2.74, xy: 0.34, wh: 0.25, conf: 2.05, class: 0.09 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 920 | loss: total: 2.71, xy: 0.35, wh: 0.24, conf: 2.03, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 930 | loss: total: 2.69, xy: 0.34, wh: 0.24, conf: 2.03, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 940 | loss: total: 2.70, xy: 0.33, wh: 0.24, conf: 2.05, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 8, global_step: 950 | loss: total: 2.71, xy: 0.34, wh: 0.24, conf: 2.05, class: 0.08 | Last batch: rec: 0.933, prec: 0.010 | lr: 0.00013
======> Epoch: 8, global_step: 954.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8897, Precision: 0.0079, AP: 0.4707
EVAL: Recall: 0.8897, Precison: 0.0079, mAP: 0.4707
EVAL: loss: total: 2.98, xy: 0.30, wh: 0.36, conf: 2.24, class: 0.08
======> Epoch: 8, global_step: 954.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8897, Precision: 0.0079, AP: 0.4707
EVAL: Recall: 0.8897, Precison: 0.0079, mAP: 0.4707
EVAL: loss: total: 2.98, xy: 0.30, wh: 0.36, conf: 2.24, class: 0.08
############
Epoch: 9, global_step: 960 | loss: total: 2.82, xy: 0.30, wh: 0.26, conf: 2.19, class: 0.07 | Last batch: rec: 0.941, prec: 0.012 | lr: 0.00013
Epoch: 9, global_step: 970 | loss: total: 3.06, xy: 0.30, wh: 0.32, conf: 2.37, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 980 | loss: total: 2.87, xy: 0.29, wh: 0.29, conf: 2.23, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 990 | loss: total: 2.80, xy: 0.28, wh: 0.29, conf: 2.18, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1000 | loss: total: 2.71, xy: 0.28, wh: 0.27, conf: 2.11, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1010 | loss: total: 2.60, xy: 0.28, wh: 0.25, conf: 2.02, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1020 | loss: total: 2.55, xy: 0.28, wh: 0.23, conf: 1.99, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1030 | loss: total: 2.56, xy: 0.29, wh: 0.23, conf: 1.98, class: 0.06 | Last batch: rec: 0.818, prec: 0.007 | lr: 0.00013
Epoch: 9, global_step: 1040 | loss: total: 2.60, xy: 0.29, wh: 0.23, conf: 2.01, class: 0.06 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00013
Epoch: 9, global_step: 1050 | loss: total: 2.65, xy: 0.30, wh: 0.24, conf: 2.04, class: 0.06 | Last batch: rec: 0.941, prec: 0.011 | lr: 0.00013
Epoch: 9, global_step: 1060 | loss: total: 2.69, xy: 0.31, wh: 0.24, conf: 2.08, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
======> Epoch: 9, global_step: 1060.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.9004, Precision: 0.0077, AP: 0.2438
EVAL: Recall: 0.9004, Precison: 0.0077, mAP: 0.2438
EVAL: loss: total: 3.10, xy: 0.29, wh: 0.40, conf: 2.34, class: 0.07
############
Epoch: 10, global_step: 1070 | loss: total: 2.63, xy: 0.34, wh: 0.17, conf: 2.08, class: 0.05 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1080 | loss: total: 2.60, xy: 0.34, wh: 0.20, conf: 2.01, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1090 | loss: total: 2.52, xy: 0.34, wh: 0.21, conf: 1.93, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1100 | loss: total: 2.48, xy: 0.34, wh: 0.20, conf: 1.88, class: 0.04 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00013
Epoch: 10, global_step: 1110 | loss: total: 2.51, xy: 0.35, wh: 0.22, conf: 1.89, class: 0.05 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00013
Epoch: 10, global_step: 1120 | loss: total: 2.45, xy: 0.36, wh: 0.21, conf: 1.84, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
Epoch: 10, global_step: 1130 | loss: total: 2.47, xy: 0.35, wh: 0.21, conf: 1.86, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1140 | loss: total: 2.54, xy: 0.35, wh: 0.23, conf: 1.91, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1150 | loss: total: 2.79, xy: 0.35, wh: 0.37, conf: 2.00, class: 0.07 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 10, global_step: 1160 | loss: total: 2.76, xy: 0.35, wh: 0.35, conf: 2.00, class: 0.07 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00013
======> Epoch: 10, global_step: 1166.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.9039, Precision: 0.0079, AP: 0.4190
EVAL: Recall: 0.9039, Precison: 0.0079, mAP: 0.4190
EVAL: loss: total: 2.99, xy: 0.30, wh: 0.40, conf: 2.23, class: 0.07
======> Epoch: 10, global_step: 1166.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.9039, Precision: 0.0079, AP: 0.4190
EVAL: Recall: 0.9039, Precison: 0.0079, mAP: 0.4190
EVAL: loss: total: 2.99, xy: 0.30, wh: 0.40, conf: 2.23, class: 0.07
############
Epoch: 11, global_step: 1170 | loss: total: 2.37, xy: 0.31, wh: 0.14, conf: 1.87, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1180 | loss: total: 2.64, xy: 0.35, wh: 0.24, conf: 1.99, class: 0.05 | Last batch: rec: 0.882, prec: 0.010 | lr: 0.00013
Epoch: 11, global_step: 1190 | loss: total: 2.50, xy: 0.37, wh: 0.20, conf: 1.89, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1200 | loss: total: 2.45, xy: 0.35, wh: 0.20, conf: 1.86, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1210 | loss: total: 2.46, xy: 0.34, wh: 0.21, conf: 1.86, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1220 | loss: total: 2.53, xy: 0.35, wh: 0.21, conf: 1.92, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1230 | loss: total: 2.56, xy: 0.35, wh: 0.21, conf: 1.95, class: 0.04 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.00013
Epoch: 11, global_step: 1240 | loss: total: 2.57, xy: 0.35, wh: 0.22, conf: 1.96, class: 0.05 | Last batch: rec: 1.000, prec: 0.013 | lr: 0.00013
Epoch: 11, global_step: 1250 | loss: total: 2.62, xy: 0.35, wh: 0.24, conf: 1.98, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00013
Epoch: 11, global_step: 1260 | loss: total: 2.65, xy: 0.34, wh: 0.24, conf: 2.03, class: 0.05 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00013
Epoch: 11, global_step: 1270 | loss: total: 2.68, xy: 0.34, wh: 0.23, conf: 2.07, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00013
======> Epoch: 11, global_step: 1272.0, lr: 0.00013 <======
EVAL: Class 0: Recall: 0.8968, Precision: 0.0085, AP: 0.2137
EVAL: Recall: 0.8968, Precison: 0.0085, mAP: 0.2137
EVAL: loss: total: 3.48, xy: 0.29, wh: 0.41, conf: 2.72, class: 0.06
############
Epoch: 12, global_step: 1280 | loss: total: 2.77, xy: 0.30, wh: 0.19, conf: 2.20, class: 0.08 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1290 | loss: total: 2.95, xy: 0.33, wh: 0.26, conf: 2.27, class: 0.09 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1300 | loss: total: 2.66, xy: 0.32, wh: 0.23, conf: 2.04, class: 0.08 | Last batch: rec: 0.800, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1310 | loss: total: 2.55, xy: 0.30, wh: 0.22, conf: 1.96, class: 0.06 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1320 | loss: total: 2.54, xy: 0.31, wh: 0.23, conf: 1.94, class: 0.06 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1330 | loss: total: 2.58, xy: 0.31, wh: 0.23, conf: 1.98, class: 0.06 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1340 | loss: total: 2.53, xy: 0.32, wh: 0.22, conf: 1.94, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 12, global_step: 1350 | loss: total: 2.50, xy: 0.31, wh: 0.21, conf: 1.92, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1360 | loss: total: 2.53, xy: 0.31, wh: 0.21, conf: 1.95, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 12, global_step: 1370 | loss: total: 2.52, xy: 0.31, wh: 0.21, conf: 1.95, class: 0.05 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.000169
======> Epoch: 12, global_step: 1378.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0077, AP: 0.4842
EVAL: Recall: 0.9146, Precison: 0.0077, mAP: 0.4842
EVAL: loss: total: 2.98, xy: 0.29, wh: 0.35, conf: 2.28, class: 0.05
======> Epoch: 12, global_step: 1378.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0077, AP: 0.4842
EVAL: Recall: 0.9146, Precison: 0.0077, mAP: 0.4842
EVAL: loss: total: 2.98, xy: 0.29, wh: 0.35, conf: 2.28, class: 0.05
############
Epoch: 13, global_step: 1380 | loss: total: 1.98, xy: 0.32, wh: 0.09, conf: 1.55, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1390 | loss: total: 2.40, xy: 0.31, wh: 0.19, conf: 1.84, class: 0.06 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.000169
Epoch: 13, global_step: 1400 | loss: total: 2.47, xy: 0.29, wh: 0.21, conf: 1.92, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 13, global_step: 1410 | loss: total: 2.53, xy: 0.26, wh: 0.35, conf: 1.87, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 13, global_step: 1420 | loss: total: 2.56, xy: 0.28, wh: 0.30, conf: 1.92, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1430 | loss: total: 2.56, xy: 0.28, wh: 0.29, conf: 1.93, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1440 | loss: total: 2.54, xy: 0.29, wh: 0.29, conf: 1.90, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1450 | loss: total: 2.47, xy: 0.30, wh: 0.28, conf: 1.84, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1460 | loss: total: 2.46, xy: 0.31, wh: 0.27, conf: 1.83, class: 0.05 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.000169
Epoch: 13, global_step: 1470 | loss: total: 2.47, xy: 0.31, wh: 0.26, conf: 1.85, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 13, global_step: 1480 | loss: total: 2.53, xy: 0.32, wh: 0.26, conf: 1.90, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
======> Epoch: 13, global_step: 1484.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9004, Precision: 0.0080, AP: 0.4848
EVAL: Recall: 0.9004, Precison: 0.0080, mAP: 0.4848
EVAL: loss: total: 2.76, xy: 0.29, wh: 0.35, conf: 2.06, class: 0.05
############
Epoch: 14, global_step: 1490 | loss: total: 2.52, xy: 0.38, wh: 0.25, conf: 1.85, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1500 | loss: total: 2.52, xy: 0.34, wh: 0.29, conf: 1.84, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1510 | loss: total: 2.51, xy: 0.35, wh: 0.27, conf: 1.85, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1520 | loss: total: 2.43, xy: 0.35, wh: 0.24, conf: 1.80, class: 0.04 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.000169
Epoch: 14, global_step: 1530 | loss: total: 2.39, xy: 0.34, wh: 0.23, conf: 1.77, class: 0.05 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.000169
Epoch: 14, global_step: 1540 | loss: total: 2.36, xy: 0.33, wh: 0.24, conf: 1.74, class: 0.05 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1550 | loss: total: 2.32, xy: 0.34, wh: 0.23, conf: 1.71, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1560 | loss: total: 2.31, xy: 0.33, wh: 0.22, conf: 1.71, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 14, global_step: 1570 | loss: total: 2.33, xy: 0.34, wh: 0.22, conf: 1.73, class: 0.05 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.000169
Epoch: 14, global_step: 1580 | loss: total: 2.42, xy: 0.33, wh: 0.22, conf: 1.82, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 14, global_step: 1590 | loss: total: 2.42, xy: 0.33, wh: 0.22, conf: 1.83, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
======> Epoch: 14, global_step: 1590.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9110, Precision: 0.0100, AP: 0.5605
EVAL: Recall: 0.9110, Precison: 0.0100, mAP: 0.5605
EVAL: loss: total: 2.98, xy: 0.29, wh: 0.35, conf: 2.28, class: 0.06
======> Epoch: 14, global_step: 1590.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9110, Precision: 0.0100, AP: 0.5605
EVAL: Recall: 0.9110, Precison: 0.0100, mAP: 0.5605
EVAL: loss: total: 2.98, xy: 0.29, wh: 0.35, conf: 2.28, class: 0.06
############
Epoch: 15, global_step: 1600 | loss: total: 2.48, xy: 0.28, wh: 0.20, conf: 1.96, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1610 | loss: total: 2.46, xy: 0.30, wh: 0.19, conf: 1.92, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1620 | loss: total: 2.66, xy: 0.34, wh: 0.24, conf: 2.03, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 15, global_step: 1630 | loss: total: 2.53, xy: 0.34, wh: 0.22, conf: 1.92, class: 0.05 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.000169
Epoch: 15, global_step: 1640 | loss: total: 2.49, xy: 0.34, wh: 0.21, conf: 1.89, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1650 | loss: total: 2.45, xy: 0.34, wh: 0.20, conf: 1.85, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1660 | loss: total: 2.47, xy: 0.33, wh: 0.22, conf: 1.87, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1670 | loss: total: 2.54, xy: 0.33, wh: 0.22, conf: 1.94, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1680 | loss: total: 2.57, xy: 0.33, wh: 0.22, conf: 1.97, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 15, global_step: 1690 | loss: total: 2.57, xy: 0.34, wh: 0.22, conf: 1.97, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
======> Epoch: 15, global_step: 1696.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.8968, Precision: 0.0085, AP: 0.3550
EVAL: Recall: 0.8968, Precison: 0.0085, mAP: 0.3550
EVAL: loss: total: 3.26, xy: 0.29, wh: 0.46, conf: 2.46, class: 0.05
############
Epoch: 16, global_step: 1700 | loss: total: 2.11, xy: 0.22, wh: 0.17, conf: 1.69, class: 0.02 | Last batch: rec: 0.923, prec: 0.009 | lr: 0.000169
Epoch: 16, global_step: 1710 | loss: total: 1.97, xy: 0.24, wh: 0.19, conf: 1.51, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.000169
Epoch: 16, global_step: 1720 | loss: total: 2.09, xy: 0.27, wh: 0.19, conf: 1.60, class: 0.03 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.000169
Epoch: 16, global_step: 1730 | loss: total: 2.16, xy: 0.29, wh: 0.18, conf: 1.65, class: 0.05 | Last batch: rec: 0.900, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1740 | loss: total: 2.25, xy: 0.29, wh: 0.18, conf: 1.74, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1750 | loss: total: 2.27, xy: 0.28, wh: 0.18, conf: 1.77, class: 0.04 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.000169
Epoch: 16, global_step: 1760 | loss: total: 2.32, xy: 0.28, wh: 0.19, conf: 1.81, class: 0.04 | Last batch: rec: 0.937, prec: 0.010 | lr: 0.000169
Epoch: 16, global_step: 1770 | loss: total: 2.36, xy: 0.29, wh: 0.21, conf: 1.82, class: 0.04 | Last batch: rec: 0.846, prec: 0.008 | lr: 0.000169
Epoch: 16, global_step: 1780 | loss: total: 2.36, xy: 0.30, wh: 0.21, conf: 1.81, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1790 | loss: total: 2.31, xy: 0.30, wh: 0.20, conf: 1.77, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.000169
Epoch: 16, global_step: 1800 | loss: total: 2.31, xy: 0.29, wh: 0.20, conf: 1.77, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.000169
======> Epoch: 16, global_step: 1802.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9217, Precision: 0.0086, AP: 0.5057
EVAL: Recall: 0.9217, Precison: 0.0086, mAP: 0.5057
EVAL: loss: total: 2.84, xy: 0.29, wh: 0.35, conf: 2.16, class: 0.05
======> Epoch: 16, global_step: 1802.0, lr: 0.000169 <======
EVAL: Class 0: Recall: 0.9217, Precision: 0.0086, AP: 0.5057
EVAL: Recall: 0.9217, Precison: 0.0086, mAP: 0.5057
EVAL: loss: total: 2.84, xy: 0.29, wh: 0.35, conf: 2.16, class: 0.05
############
Epoch: 17, global_step: 1810 | loss: total: 1.85, xy: 0.24, wh: 0.15, conf: 1.42, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1820 | loss: total: 1.89, xy: 0.29, wh: 0.13, conf: 1.44, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1830 | loss: total: 1.92, xy: 0.30, wh: 0.13, conf: 1.47, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1840 | loss: total: 2.02, xy: 0.29, wh: 0.15, conf: 1.55, class: 0.03 | Last batch: rec: 0.923, prec: 0.009 | lr: 0.0002197
Epoch: 17, global_step: 1850 | loss: total: 2.25, xy: 0.30, wh: 0.17, conf: 1.75, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 17, global_step: 1860 | loss: total: 2.28, xy: 0.30, wh: 0.16, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0002197
Epoch: 17, global_step: 1870 | loss: total: 2.36, xy: 0.32, wh: 0.17, conf: 1.83, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 17, global_step: 1880 | loss: total: 2.38, xy: 0.33, wh: 0.18, conf: 1.84, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1890 | loss: total: 2.33, xy: 0.32, wh: 0.18, conf: 1.81, class: 0.03 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.0002197
Epoch: 17, global_step: 1900 | loss: total: 2.31, xy: 0.32, wh: 0.18, conf: 1.79, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
======> Epoch: 17, global_step: 1908.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.9324, Precision: 0.0081, AP: 0.3926
EVAL: Recall: 0.9324, Precison: 0.0081, mAP: 0.3926
EVAL: loss: total: 3.08, xy: 0.28, wh: 0.34, conf: 2.41, class: 0.05
############
Epoch: 18, global_step: 1910 | loss: total: 2.42, xy: 0.29, wh: 0.22, conf: 1.86, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1920 | loss: total: 7.22, xy: 0.30, wh: 4.05, conf: 2.79, class: 0.08 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1930 | loss: total: 5.16, xy: 0.30, wh: 2.34, conf: 2.46, class: 0.07 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 18, global_step: 1940 | loss: total: 5.48, xy: 0.30, wh: 2.56, conf: 2.51, class: 0.11 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 18, global_step: 1950 | loss: total: 4.99, xy: 0.31, wh: 2.05, conf: 2.51, class: 0.10 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 18, global_step: 1960 | loss: total: 4.61, xy: 0.33, wh: 1.71, conf: 2.48, class: 0.10 | Last batch: rec: 0.929, prec: 0.009 | lr: 0.0002197
Epoch: 18, global_step: 1970 | loss: total: 5.26, xy: 0.33, wh: 2.36, conf: 2.46, class: 0.11 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0002197
Epoch: 18, global_step: 1980 | loss: total: 4.97, xy: 0.34, wh: 2.10, conf: 2.43, class: 0.10 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 1990 | loss: total: 4.61, xy: 0.33, wh: 1.86, conf: 2.33, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 2000 | loss: total: 4.34, xy: 0.33, wh: 1.68, conf: 2.24, class: 0.09 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 18, global_step: 2010 | loss: total: 4.18, xy: 0.33, wh: 1.54, conf: 2.23, class: 0.08 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.0002197
======> Epoch: 18, global_step: 2014.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8790, Precision: 0.0157, AP: 0.3737
EVAL: Recall: 0.8790, Precison: 0.0157, mAP: 0.3737
EVAL: loss: total: 3.58, xy: 0.29, wh: 0.42, conf: 2.76, class: 0.10
======> Epoch: 18, global_step: 2014.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8790, Precision: 0.0157, AP: 0.3737
EVAL: Recall: 0.8790, Precison: 0.0157, mAP: 0.3737
EVAL: loss: total: 3.58, xy: 0.29, wh: 0.42, conf: 2.76, class: 0.10
############
Epoch: 19, global_step: 2020 | loss: total: 2.47, xy: 0.37, wh: 0.19, conf: 1.88, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2030 | loss: total: 2.45, xy: 0.32, wh: 0.19, conf: 1.91, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2040 | loss: total: 2.45, xy: 0.32, wh: 0.19, conf: 1.92, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2050 | loss: total: 2.39, xy: 0.32, wh: 0.20, conf: 1.85, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2060 | loss: total: 2.37, xy: 0.33, wh: 0.19, conf: 1.82, class: 0.02 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.0002197
Epoch: 19, global_step: 2070 | loss: total: 2.42, xy: 0.33, wh: 0.21, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2080 | loss: total: 2.54, xy: 0.33, wh: 0.24, conf: 1.94, class: 0.03 | Last batch: rec: 0.933, prec: 0.010 | lr: 0.0002197
Epoch: 19, global_step: 2090 | loss: total: 2.77, xy: 0.33, wh: 0.26, conf: 2.14, class: 0.05 | Last batch: rec: 0.727, prec: 0.005 | lr: 0.0002197
Epoch: 19, global_step: 2100 | loss: total: 2.74, xy: 0.32, wh: 0.26, conf: 2.12, class: 0.05 | Last batch: rec: 0.923, prec: 0.011 | lr: 0.0002197
Epoch: 19, global_step: 2110 | loss: total: 2.71, xy: 0.32, wh: 0.25, conf: 2.10, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 19, global_step: 2120 | loss: total: 2.70, xy: 0.32, wh: 0.25, conf: 2.09, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
======> Epoch: 19, global_step: 2120.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8256, Precision: 0.0107, AP: 0.2905
EVAL: Recall: 0.8256, Precison: 0.0107, mAP: 0.2905
EVAL: loss: total: 4.22, xy: 0.30, wh: 1.30, conf: 2.53, class: 0.09
############
Epoch: 20, global_step: 2130 | loss: total: 1.91, xy: 0.31, wh: 0.12, conf: 1.45, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2140 | loss: total: 2.17, xy: 0.33, wh: 0.15, conf: 1.66, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2150 | loss: total: 2.17, xy: 0.32, wh: 0.16, conf: 1.66, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 20, global_step: 2160 | loss: total: 2.23, xy: 0.31, wh: 0.16, conf: 1.72, class: 0.03 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.0002197
Epoch: 20, global_step: 2170 | loss: total: 2.39, xy: 0.33, wh: 0.17, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 20, global_step: 2180 | loss: total: 2.32, xy: 0.33, wh: 0.17, conf: 1.79, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2190 | loss: total: 3.69, xy: 0.34, wh: 1.31, conf: 2.00, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2200 | loss: total: 3.69, xy: 0.34, wh: 1.30, conf: 2.00, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2210 | loss: total: 3.56, xy: 0.34, wh: 1.19, conf: 1.99, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 20, global_step: 2220 | loss: total: 3.48, xy: 0.34, wh: 1.09, conf: 2.00, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
======> Epoch: 20, global_step: 2226.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8292, Precision: 0.0072, AP: 0.3439
EVAL: Recall: 0.8292, Precison: 0.0072, mAP: 0.3439
EVAL: loss: total: 24.96, xy: 0.33, wh: 16.16, conf: 7.70, class: 0.78
======> Epoch: 20, global_step: 2226.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8292, Precision: 0.0072, AP: 0.3439
EVAL: Recall: 0.8292, Precison: 0.0072, mAP: 0.3439
EVAL: loss: total: 24.96, xy: 0.33, wh: 16.16, conf: 7.70, class: 0.78
############
Epoch: 21, global_step: 2230 | loss: total: 2.68, xy: 0.33, wh: 0.17, conf: 2.16, class: 0.03 | Last batch: rec: 0.875, prec: 0.009 | lr: 0.0002197
Epoch: 21, global_step: 2240 | loss: total: 2.40, xy: 0.29, wh: 0.19, conf: 1.89, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2250 | loss: total: 2.55, xy: 0.30, wh: 0.22, conf: 2.00, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2260 | loss: total: 2.57, xy: 0.31, wh: 0.20, conf: 2.02, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2270 | loss: total: 2.51, xy: 0.32, wh: 0.21, conf: 1.95, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2280 | loss: total: 2.47, xy: 0.33, wh: 0.22, conf: 1.89, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2290 | loss: total: 2.51, xy: 0.33, wh: 0.22, conf: 1.93, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.0002197
Epoch: 21, global_step: 2300 | loss: total: 2.51, xy: 0.34, wh: 0.22, conf: 1.92, class: 0.03 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.0002197
Epoch: 21, global_step: 2310 | loss: total: 2.56, xy: 0.34, wh: 0.23, conf: 1.96, class: 0.04 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.0002197
Epoch: 21, global_step: 2320 | loss: total: 2.51, xy: 0.34, wh: 0.22, conf: 1.92, class: 0.04 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.0002197
Epoch: 21, global_step: 2330 | loss: total: 2.52, xy: 0.34, wh: 0.22, conf: 1.92, class: 0.04 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.0002197
======> Epoch: 21, global_step: 2332.0, lr: 0.0002197 <======
EVAL: Class 0: Recall: 0.8292, Precision: 0.0072, AP: 0.3059
EVAL: Recall: 0.8292, Precison: 0.0072, mAP: 0.3059
EVAL: loss: total: 5.67, xy: 0.30, wh: 1.66, conf: 3.57, class: 0.15
############
Epoch: 22, global_step: 2340 | loss: total: 2.88, xy: 0.35, wh: 0.18, conf: 2.31, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2350 | loss: total: 2.64, xy: 0.33, wh: 0.21, conf: 2.08, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2360 | loss: total: 2.52, xy: 0.30, wh: 0.23, conf: 1.97, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2370 | loss: total: 2.44, xy: 0.30, wh: 0.22, conf: 1.90, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 22, global_step: 2380 | loss: total: 2.36, xy: 0.31, wh: 0.20, conf: 1.82, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2390 | loss: total: 2.34, xy: 0.31, wh: 0.20, conf: 1.80, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2400 | loss: total: 2.36, xy: 0.32, wh: 0.20, conf: 1.82, class: 0.02 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00028561
Epoch: 22, global_step: 2410 | loss: total: 2.43, xy: 0.32, wh: 0.21, conf: 1.87, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2420 | loss: total: 2.47, xy: 0.33, wh: 0.23, conf: 1.89, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 22, global_step: 2430 | loss: total: 2.46, xy: 0.32, wh: 0.22, conf: 1.88, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
======> Epoch: 22, global_step: 2438.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9039, Precision: 0.0076, AP: 0.5073
EVAL: Recall: 0.9039, Precison: 0.0076, mAP: 0.5073
EVAL: loss: total: 3.22, xy: 0.29, wh: 0.37, conf: 2.53, class: 0.04
======> Epoch: 22, global_step: 2438.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9039, Precision: 0.0076, AP: 0.5073
EVAL: Recall: 0.9039, Precison: 0.0076, mAP: 0.5073
EVAL: loss: total: 3.22, xy: 0.29, wh: 0.37, conf: 2.53, class: 0.04
############
Epoch: 23, global_step: 2440 | loss: total: 1.69, xy: 0.21, wh: 0.10, conf: 1.37, class: 0.01 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2450 | loss: total: 2.26, xy: 0.25, wh: 0.20, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2460 | loss: total: 2.44, xy: 0.28, wh: 0.36, conf: 1.77, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2470 | loss: total: 2.62, xy: 0.31, wh: 0.32, conf: 1.94, class: 0.04 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00028561
Epoch: 23, global_step: 2480 | loss: total: 2.62, xy: 0.31, wh: 0.30, conf: 1.97, class: 0.04 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
Epoch: 23, global_step: 2490 | loss: total: 2.55, xy: 0.31, wh: 0.27, conf: 1.93, class: 0.04 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 23, global_step: 2500 | loss: total: 2.49, xy: 0.30, wh: 0.26, conf: 1.90, class: 0.04 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2510 | loss: total: 2.48, xy: 0.31, wh: 0.24, conf: 1.89, class: 0.04 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
Epoch: 23, global_step: 2520 | loss: total: 2.44, xy: 0.31, wh: 0.23, conf: 1.85, class: 0.04 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.00028561
Epoch: 23, global_step: 2530 | loss: total: 2.43, xy: 0.31, wh: 0.23, conf: 1.85, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 23, global_step: 2540 | loss: total: 2.42, xy: 0.32, wh: 0.22, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
======> Epoch: 23, global_step: 2544.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9075, Precision: 0.0082, AP: 0.3715
EVAL: Recall: 0.9075, Precison: 0.0082, mAP: 0.3715
EVAL: loss: total: 2.95, xy: 0.29, wh: 0.38, conf: 2.25, class: 0.04
############
Epoch: 24, global_step: 2550 | loss: total: 2.70, xy: 0.33, wh: 0.24, conf: 2.09, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2560 | loss: total: 2.77, xy: 0.31, wh: 0.22, conf: 2.19, class: 0.05 | Last batch: rec: 0.833, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2570 | loss: total: 3.05, xy: 0.30, wh: 0.63, conf: 2.07, class: 0.05 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00028561
Epoch: 24, global_step: 2580 | loss: total: 4.22, xy: 0.31, wh: 1.81, conf: 2.05, class: 0.05 | Last batch: rec: 0.769, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2590 | loss: total: 3.93, xy: 0.31, wh: 1.47, conf: 2.10, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2600 | loss: total: 3.76, xy: 0.31, wh: 1.26, conf: 2.14, class: 0.06 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2610 | loss: total: 3.53, xy: 0.31, wh: 1.09, conf: 2.08, class: 0.05 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 24, global_step: 2620 | loss: total: 3.38, xy: 0.31, wh: 0.97, conf: 2.04, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2630 | loss: total: 3.22, xy: 0.30, wh: 0.87, conf: 1.99, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2640 | loss: total: 3.28, xy: 0.30, wh: 0.89, conf: 2.03, class: 0.05 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 24, global_step: 2650 | loss: total: 3.16, xy: 0.30, wh: 0.83, conf: 1.98, class: 0.05 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
======> Epoch: 24, global_step: 2650.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8719, Precision: 0.0079, AP: 0.4359
EVAL: Recall: 0.8719, Precison: 0.0079, mAP: 0.4359
EVAL: loss: total: 11.91, xy: 0.32, wh: 6.39, conf: 4.93, class: 0.27
======> Epoch: 24, global_step: 2650.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8719, Precision: 0.0079, AP: 0.4359
EVAL: Recall: 0.8719, Precison: 0.0079, mAP: 0.4359
EVAL: loss: total: 11.91, xy: 0.32, wh: 6.39, conf: 4.93, class: 0.27
############
Epoch: 25, global_step: 2660 | loss: total: 2.81, xy: 0.32, wh: 0.19, conf: 2.27, class: 0.03 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.00028561
Epoch: 25, global_step: 2670 | loss: total: 2.39, xy: 0.28, wh: 0.17, conf: 1.91, class: 0.03 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2680 | loss: total: 2.29, xy: 0.30, wh: 0.17, conf: 1.80, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2690 | loss: total: 2.31, xy: 0.32, wh: 0.17, conf: 1.79, class: 0.02 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2700 | loss: total: 2.37, xy: 0.33, wh: 0.17, conf: 1.84, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2710 | loss: total: 2.43, xy: 0.32, wh: 0.17, conf: 1.91, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00028561
Epoch: 25, global_step: 2720 | loss: total: 2.39, xy: 0.32, wh: 0.16, conf: 1.89, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 25, global_step: 2730 | loss: total: 2.36, xy: 0.31, wh: 0.16, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2740 | loss: total: 2.36, xy: 0.32, wh: 0.16, conf: 1.85, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
Epoch: 25, global_step: 2750 | loss: total: 2.36, xy: 0.31, wh: 0.17, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.010 | lr: 0.00028561
======> Epoch: 25, global_step: 2756.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.9181, Precision: 0.0078, AP: 0.5020
EVAL: Recall: 0.9181, Precison: 0.0078, mAP: 0.5020
EVAL: loss: total: 2.82, xy: 0.30, wh: 0.37, conf: 2.11, class: 0.04
############
Epoch: 26, global_step: 2760 | loss: total: 1.94, xy: 0.29, wh: 0.15, conf: 1.47, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 26, global_step: 2770 | loss: total: 2.40, xy: 0.34, wh: 0.18, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2780 | loss: total: 2.47, xy: 0.36, wh: 0.18, conf: 1.90, class: 0.03 | Last batch: rec: 0.941, prec: 0.013 | lr: 0.00028561
Epoch: 26, global_step: 2790 | loss: total: 2.43, xy: 0.35, wh: 0.18, conf: 1.87, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 26, global_step: 2800 | loss: total: 2.37, xy: 0.35, wh: 0.18, conf: 1.82, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2810 | loss: total: 2.35, xy: 0.34, wh: 0.21, conf: 1.78, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2820 | loss: total: 2.34, xy: 0.33, wh: 0.22, conf: 1.77, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00028561
Epoch: 26, global_step: 2830 | loss: total: 2.40, xy: 0.34, wh: 0.22, conf: 1.81, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2840 | loss: total: 2.34, xy: 0.33, wh: 0.21, conf: 1.77, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
Epoch: 26, global_step: 2850 | loss: total: 2.28, xy: 0.32, wh: 0.21, conf: 1.73, class: 0.03 | Last batch: rec: 1.000, prec: 0.011 | lr: 0.00028561
Epoch: 26, global_step: 2860 | loss: total: 2.29, xy: 0.32, wh: 0.21, conf: 1.74, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00028561
======> Epoch: 26, global_step: 2862.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8612, Precision: 0.0071, AP: 0.4441
EVAL: Recall: 0.8612, Precison: 0.0071, mAP: 0.4441
EVAL: loss: total: 3.08, xy: 0.29, wh: 0.39, conf: 2.37, class: 0.03
======> Epoch: 26, global_step: 2862.0, lr: 0.00028561 <======
EVAL: Class 0: Recall: 0.8612, Precision: 0.0071, AP: 0.4441
EVAL: Recall: 0.8612, Precison: 0.0071, mAP: 0.4441
EVAL: loss: total: 3.08, xy: 0.29, wh: 0.39, conf: 2.37, class: 0.03
############
Epoch: 27, global_step: 2870 | loss: total: 2.38, xy: 0.34, wh: 0.18, conf: 1.84, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2880 | loss: total: 2.08, xy: 0.33, wh: 0.15, conf: 1.58, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2890 | loss: total: 2.22, xy: 0.33, wh: 0.17, conf: 1.70, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2900 | loss: total: 2.31, xy: 0.33, wh: 0.18, conf: 1.78, class: 0.02 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00037129
Epoch: 27, global_step: 2910 | loss: total: 2.19, xy: 0.32, wh: 0.17, conf: 1.69, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2920 | loss: total: 2.25, xy: 0.32, wh: 0.16, conf: 1.74, class: 0.03 | Last batch: rec: 0.917, prec: 0.008 | lr: 0.00037129
Epoch: 27, global_step: 2930 | loss: total: 2.26, xy: 0.32, wh: 0.17, conf: 1.74, class: 0.03 | Last batch: rec: 0.824, prec: 0.009 | lr: 0.00037129
Epoch: 27, global_step: 2940 | loss: total: 2.21, xy: 0.31, wh: 0.16, conf: 1.71, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2950 | loss: total: 2.18, xy: 0.31, wh: 0.16, conf: 1.69, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 27, global_step: 2960 | loss: total: 2.13, xy: 0.30, wh: 0.16, conf: 1.65, class: 0.02 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
======> Epoch: 27, global_step: 2968.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.9146, Precision: 0.0076, AP: 0.5632
EVAL: Recall: 0.9146, Precison: 0.0076, mAP: 0.5632
EVAL: loss: total: 2.71, xy: 0.29, wh: 0.35, conf: 2.04, class: 0.02
############
Epoch: 28, global_step: 2970 | loss: total: 1.96, xy: 0.30, wh: 0.18, conf: 1.46, class: 0.02 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00037129
Epoch: 28, global_step: 2980 | loss: total: 2.29, xy: 0.27, wh: 0.18, conf: 1.81, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 28, global_step: 2990 | loss: total: 2.31, xy: 0.27, wh: 0.22, conf: 1.78, class: 0.03 | Last batch: rec: 0.917, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3000 | loss: total: 2.41, xy: 0.28, wh: 0.25, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3010 | loss: total: 2.40, xy: 0.29, wh: 0.22, conf: 1.86, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3020 | loss: total: 2.41, xy: 0.29, wh: 0.21, conf: 1.89, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3030 | loss: total: 2.35, xy: 0.29, wh: 0.20, conf: 1.84, class: 0.03 | Last batch: rec: 0.923, prec: 0.008 | lr: 0.00037129
Epoch: 28, global_step: 3040 | loss: total: 2.37, xy: 0.30, wh: 0.19, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3050 | loss: total: 2.40, xy: 0.30, wh: 0.19, conf: 1.88, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 28, global_step: 3060 | loss: total: 2.35, xy: 0.30, wh: 0.19, conf: 1.84, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
Epoch: 28, global_step: 3070 | loss: total: 2.35, xy: 0.29, wh: 0.19, conf: 1.85, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
======> Epoch: 28, global_step: 3074.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.9253, Precision: 0.0090, AP: 0.5388
EVAL: Recall: 0.9253, Precison: 0.0090, mAP: 0.5388
EVAL: loss: total: 2.71, xy: 0.27, wh: 0.34, conf: 2.07, class: 0.03
======> Epoch: 28, global_step: 3074.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.9253, Precision: 0.0090, AP: 0.5388
EVAL: Recall: 0.9253, Precison: 0.0090, mAP: 0.5388
EVAL: loss: total: 2.71, xy: 0.27, wh: 0.34, conf: 2.07, class: 0.03
############
Epoch: 29, global_step: 3080 | loss: total: 2.18, xy: 0.27, wh: 0.15, conf: 1.73, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3090 | loss: total: 2.09, xy: 0.29, wh: 0.19, conf: 1.59, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3100 | loss: total: 2.20, xy: 0.29, wh: 0.19, conf: 1.68, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3110 | loss: total: 2.17, xy: 0.29, wh: 0.20, conf: 1.66, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3120 | loss: total: 2.25, xy: 0.29, wh: 0.22, conf: 1.70, class: 0.03 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
Epoch: 29, global_step: 3130 | loss: total: 2.16, xy: 0.29, wh: 0.20, conf: 1.65, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3140 | loss: total: 2.32, xy: 0.29, wh: 0.27, conf: 1.73, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3150 | loss: total: 2.32, xy: 0.30, wh: 0.25, conf: 1.74, class: 0.03 | Last batch: rec: 0.909, prec: 0.007 | lr: 0.00037129
Epoch: 29, global_step: 3160 | loss: total: 2.29, xy: 0.29, wh: 0.25, conf: 1.72, class: 0.03 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 29, global_step: 3170 | loss: total: 2.29, xy: 0.29, wh: 0.25, conf: 1.72, class: 0.04 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 29, global_step: 3180 | loss: total: 2.27, xy: 0.29, wh: 0.24, conf: 1.70, class: 0.03 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
======> Epoch: 29, global_step: 3180.0, lr: 0.000371293 <======
EVAL: Class 0: Recall: 0.9253, Precision: 0.0116, AP: 0.5227
EVAL: Recall: 0.9253, Precison: 0.0116, mAP: 0.5227
EVAL: loss: total: 2.85, xy: 0.28, wh: 0.35, conf: 2.18, class: 0.04
############
Epoch: 30, global_step: 3190 | loss: total: 1.97, xy: 0.30, wh: 0.16, conf: 1.49, class: 0.02 | Last batch: rec: 0.900, prec: 0.006 | lr: 0.00037129
Epoch: 30, global_step: 3200 | loss: total: 1.89, xy: 0.30, wh: 0.14, conf: 1.43, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 30, global_step: 3210 | loss: total: 1.95, xy: 0.30, wh: 0.17, conf: 1.47, class: 0.02 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
Epoch: 30, global_step: 3220 | loss: total: 2.03, xy: 0.30, wh: 0.19, conf: 1.52, class: 0.02 | Last batch: rec: 1.000, prec: 0.007 | lr: 0.00037129
Epoch: 30, global_step: 3230 | loss: total: 2.06, xy: 0.30, wh: 0.18, conf: 1.57, class: 0.02 | Last batch: rec: 0.867, prec: 0.009 | lr: 0.00037129
Epoch: 30, global_step: 3240 | loss: total: 2.59, xy: 0.29, wh: 0.67, conf: 1.61, class: 0.02 | Last batch: rec: 1.000, prec: 0.008 | lr: 0.00037129
Epoch: 30, global_step: 3250 | loss: total: 3.61, xy: 0.30, wh: 1.24, conf: 1.98, class: 0.08 | Last batch: rec: 1.000, prec: 0.009 | lr: 0.00037129
Epoch: 30, global_step: 3260 | loss: total: nan, xy: nan, wh: nan, conf: nan, class: nan | Last batch: rec: 0.000, prec: 0.000 | lr: 0.00037129