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senet

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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') 
hellock
hellock commented Jul 13, 2020

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Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
  • Updated Oct 27, 2020
  • Jupyter Notebook

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