updates
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train.py
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train.py
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@ -11,16 +11,16 @@ from utils.datasets import *
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from utils.utils import *
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# Hyperparameters
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hyp = {'k': 10.11, # loss multiple
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'xy': 0.1509, # xy loss fraction
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'wh': 0.008077, # wh loss fraction
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'cls': 0.01082, # cls loss fraction
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'conf': 0.8302, # conf loss fraction
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'iou_t': 0.05892, # iou target-anchor training threshold
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'lr0': 0.001475, # initial learning rate
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'lrf': -3.371, # final learning rate = lr0 * (10 ** lrf)
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'momentum': 0.8733, # SGD momentum
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'weight_decay': 0.0006636, # optimizer weight decay
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hyp = {'k': 7.789, # loss multiple
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'xy': 0.1966, # xy loss fraction
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'wh': 0.01144, # wh loss fraction
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'cls': 0.01746, # cls loss fraction
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'conf': 0.7745, # conf loss fraction
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'iou_t': 0.05732, # iou target-anchor training threshold
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'lr0': 0.001467, # initial learning rate
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'lrf': -3.904, # final learning rate = lr0 * (10 ** lrf)
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'momentum': 0.9008, # SGD momentum
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'weight_decay': 0.0007289, # optimizer weight decay
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}
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