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STVIR / pysot

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Save cfg.TRAIN.START_EPOCH to state dict

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ZhiyuanChen
ZhiyuanChen commented Jul 21, 2020

Well #77 didn't work for me while resuming from checkpoint_18.pth. The problem is when we resume, the model and optimizer passed in the restore_from function are suitable for epoch less than 10 (till backbone is not training) because the cfg.TRAIN.START_EPOCH is 0 (passed in build_opt_lr function just before restore_from) initially so this mismatches the optimizer after backbone start training. So

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bug good first issue has workaround small

sudharsan13296 / Hands-On-Meta-Learning-With-Python

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Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
reinforcement-learning tensorflow keras one-shot-learning reptile maml mann zero-shot-learning ntm shot-learning siamese-network relation-network metalearning few-shot-learning prototypical-networks meta-sgd matching-networks deep-meta-learning meta-imitation-learning prototypical-network
  • Updated Oct 9, 2020
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