From b030d681087c3ae60027ebdd943dd1621c152f0f Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Fri, 16 Aug 2019 00:42:25 +0200 Subject: [PATCH] updates --- train.py | 22 +++++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/train.py b/train.py index cb0ecf08..95ab9510 100644 --- a/train.py +++ b/train.py @@ -33,7 +33,7 @@ except: # 0.268 0.268 0.178 0.240 4.36 1.104 5.596 0.2087 14.47 2.599 16.27 2.406 0.4114 0.001585 -4 0.950 0.000524 # hc # 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 -# Training hyperparameters j (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 'xy': 4.688, # xy loss gain 'wh': 0.1857, # wh loss gain @@ -53,6 +53,26 @@ hyp = {'giou': 1.582, # giou loss gain 'scale': 0.1059, # image scale (+/- gain) 'shear': 0.5768} # image shear (+/- deg) +# Hyperparameters (k-series, j-series with all *_pw=1) +# hyp = {'giou': 1.582, # giou loss gain +# 'xy': 4.688, # xy loss gain +# 'wh': 0.1857, # wh loss gain +# 'cls': 40.14, # cls loss gain +# 'cls_pw': 1.0, # cls BCELoss positive_weight +# 'obj': 84.14, # obj loss gain +# 'obj_pw': 1.0, # obj BCELoss positive_weight +# 'iou_t': 0.2635, # iou training threshold +# 'lr0': 0.002324, # initial learning rate +# 'lrf': -4., # final LambdaLR learning rate = lr0 * (10 ** lrf) +# 'momentum': 0.97, # SGD momentum +# 'weight_decay': 0.0004569, # optimizer weight decay +# 'hsv_s': 0.5703, # image HSV-Saturation augmentation (fraction) +# 'hsv_v': 0.3174, # image HSV-Value augmentation (fraction) +# 'degrees': 1.113, # image rotation (+/- deg) +# 'translate': 0.06797, # image translation (+/- fraction) +# 'scale': 0.1059, # image scale (+/- gain) +# 'shear': 0.5768} # image shear (+/- deg) + def train(cfg, data,