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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-23 13:41:12 +02:00
parent d777a57b9c
commit 95c55f2e62
1 changed files with 1 additions and 21 deletions
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train.py
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@ -34,6 +34,7 @@ except:
# 0.161 0.327 0.190 0.193 7.82 1.153 4.062 0.1845 24.28 3.05 20.93 2.842 0.2759 0.001357 -4 0.916 0.000572 # hd 0.438 mAP @ epoch 100 # 0.161 0.327 0.190 0.193 7.82 1.153 4.062 0.1845 24.28 3.05 20.93 2.842 0.2759 0.001357 -4 0.916 0.000572 # hd 0.438 mAP @ epoch 100
# Hyperparameters (j-series, 50.5 mAP yolov3-320) evolved by @ktian08 https://github.com/ultralytics/yolov3/issues/310 # Hyperparameters (j-series, 50.5 mAP yolov3-320) evolved by @ktian08 https://github.com/ultralytics/yolov3/issues/310
# Transfer learning edge layers: 0.1 lr0, 0.9 momentum
hyp = {'giou': 1.582, # giou loss gain hyp = {'giou': 1.582, # giou loss gain
'xy': 4.688, # xy loss gain 'xy': 4.688, # xy loss gain
'wh': 0.1857, # wh loss gain 'wh': 0.1857, # wh loss gain
@ -54,27 +55,6 @@ hyp = {'giou': 1.582, # giou loss gain
'shear': 0.5768} # image shear (+/- deg) 'shear': 0.5768} # image shear (+/- deg)
# # Hyperparameters (i-series)
# hyp = {'giou': 1.43, # giou loss gain
# 'xy': 4.688, # xy loss gain
# 'wh': 0.1857, # wh loss gain
# 'cls': 11.7, # cls loss gain
# 'cls_pw': 4.81, # cls BCELoss positive_weight
# 'obj': 11.5, # obj loss gain
# 'obj_pw': 1.56, # obj BCELoss positive_weight
# 'iou_t': 0.281, # iou training threshold
# 'lr0': 0.0013, # initial learning rate
# 'lrf': -4., # final LambdaLR learning rate = lr0 * (10 ** lrf)
# 'momentum': 0.944, # SGD momentum
# 'weight_decay': 0.000427, # optimizer weight decay
# 'hsv_s': 0.0599, # image HSV-Saturation augmentation (fraction)
# 'hsv_v': 0.142, # image HSV-Value augmentation (fraction)
# 'degrees': 1.03, # image rotation (+/- deg)
# 'translate': 0.0552, # image translation (+/- fraction)
# 'scale': 0.0555, # image scale (+/- gain)
# 'shear': 0.434} # image shear (+/- deg)
def train(): def train():
cfg = opt.cfg cfg = opt.cfg
data = opt.data data = opt.data