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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-09-11 14:03:23 +02:00
parent 3f7f2c4a13
commit 270724e507
1 changed files with 2 additions and 5 deletions
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7
train.py
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@ -16,9 +16,6 @@ try: # Mixed precision training https://github.com/NVIDIA/apex
except: except:
mixed_precision = False # not installed mixed_precision = False # not installed
# 0.329 0.963 0.918 0.455 0.331 0.481 0.14 0.353 61.9 0.062 26.9 0.386 0.0624 0.000219 -4 0.901 0.000414 1.86 0.57 0.317 1.11 0.068 0.106 0.577
# 0.256 0.948 0.921 0.358 1.27 3.24 1.11 1.3 19.2 1.02 87.6 1.76 0.116 0.00288 -4 0.956 0.000277 1.09 0.57 0.317 1.11 0.068 0.106 0.577
# 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
hyp = {'giou': 1.582, # giou loss gain hyp = {'giou': 1.582, # giou loss gain
'cls': 27.76, # cls loss gain (CE=~1.0, uCE=~20) 'cls': 27.76, # cls loss gain (CE=~1.0, uCE=~20)
@ -91,9 +88,9 @@ def train():
else: else:
pg0 += [v] # parameter group 0 pg0 += [v] # parameter group 0
optimizer = optim.Adam(pg0, lr=hyp['lr0']) # optimizer = optim.Adam(pg0, lr=hyp['lr0'])
# optimizer = AdaBound(pg0, lr=hyp['lr0'], final_lr=0.1) # optimizer = AdaBound(pg0, lr=hyp['lr0'], final_lr=0.1)
# optimizer = optim.SGD(pg0, lr=hyp['lr0'], momentum=hyp['momentum'], nesterov=True) optimizer = optim.SGD(pg0, lr=hyp['lr0'], momentum=hyp['momentum'], nesterov=True)
optimizer.add_param_group({'params': pg1, 'weight_decay': hyp['weight_decay']}) # add pg1 with weight_decay optimizer.add_param_group({'params': pg1, 'weight_decay': hyp['weight_decay']}) # add pg1 with weight_decay
del pg0, pg1 del pg0, pg1