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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-21 00:13:30 +02:00
parent c97b669c46
commit 291def2e77
1 changed files with 3 additions and 3 deletions
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6
train.py
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@ -37,10 +37,10 @@ except:
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
'cls': 27.76, # cls loss gain (CE=~1.0, uCE=~20, uBCE=~200,~30) 'cls': 27.76, # cls loss gain (CE=~1.0, uCE=~20)
'cls_pw': 1.446, # cls BCELoss positive_weight 'cls_pw': 1.446, # cls BCELoss positive_weight
'obj': 21.35, # obj loss gain 'obj': 21.35, # obj loss gain
'obj_pw': 3.941, # obj BCELoss positive_weight 'obj_pw': 3.941, # obj BCELoss positive_weight (*=80 for uBCE with 80 classes)
'iou_t': 0.2635, # iou training threshold 'iou_t': 0.2635, # iou training threshold
'lr0': 0.002324, # initial learning rate 'lr0': 0.002324, # initial learning rate
'lrf': -4., # final LambdaLR learning rate = lr0 * (10 ** lrf) 'lrf': -4., # final LambdaLR learning rate = lr0 * (10 ** lrf)
@ -362,7 +362,7 @@ if __name__ == '__main__':
parser.add_argument('--batch-size', type=int, default=32, help='batch size') parser.add_argument('--batch-size', type=int, default=32, help='batch size')
parser.add_argument('--accumulate', type=int, default=2, help='number of batches to accumulate before optimizing') parser.add_argument('--accumulate', type=int, default=2, help='number of batches to accumulate before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco.data', help='coco.data file path') parser.add_argument('--data', type=str, default='../out/data.data', help='coco.data file path')
parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes') parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training') parser.add_argument('--rect', action='store_true', help='rectangular training')