Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

3x3 convolution with padding

plot val loss and train loss in one figure

preds {'cat':[[image_id,confidence,x1,y1,x2,y2],...],'dog':[[],...]} target {(image_id,class):[[],]}

Compute the intersection over union of two set of boxes, each box is [x1,y1,x2,y2]. Args: box1: (tensor) bounding boxes, sized [N,

pred (tensor) 1x7x7x30 return (tensor) box[[x1,y1,x2,y2]] label[...]

boxes (tensor) [[x1,y1,x2,y2],[]] labels (tensor) [...] return 7x7x30

bboxes(tensor) [N,4] scores(tensor) [N,]

Parse a PASCAL VOC xml file

plot('loss', 1.00)

VGG 16-layer model (configuration "D") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 16-layer model (configuration "D") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

**kwargs, dict option

pred_tensor: (tensor) size(batchsize,S,S,Bx5+20=30) [x,y,w,h,c] target_tensor: (tensor) size(batchsize,S,S,30)

show text in box not write into txt?

d: dict {name, value}

Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 11-layer model (configuration "A") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 11-layer model (configuration "A") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 13-layer model (configuration "B") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 13-layer model (configuration "B") with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 19-layer model (configuration "E") Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

VGG 19-layer model (configuration 'E') with batch normalization Args: pretrained (bool): If True, returns a model pre-trained on ImageNet