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argusswift / YOLOv4-pytorch

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训练自己的数据集的时候怎么放置啊？一定设置成voc2007与voc2012的形式吗？

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haobabuhaoba
haobabuhaoba commented Oct 6, 2020 
[2020-10-06 21:13:34,984]-[train.py line:164]:===== Validate =====
Traceback (most recent call last):
  File "train.py", line 212, in <module>
    fp_16=opt.fp_16).train()
  File "train.py", line 166, in train
    APs, inference_time = Evaluator(self.yolov4, showatt=False).APs_voc()
  File "D:\hua\YOLOv4-pytorch\eval\evaluator.py", line 32, in APs_voc
    with open(img_inds_file, 'r')
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good first issue
pytorch-GAT

gordicaleksa / pytorch-GAT

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My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

python deep-learning jupyter pytorch attention attention-mechanism graph-attention-networks self-attention pytorch-implementation gat graph-attention-network pytorch-gat gat-tutorial
  • Updated Feb 12, 2021
  • Jupyter Notebook

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