max_angel=10)
# 建立关键点模型
kp_model = KeyPointModelV2(backbone,
pixel_mean=0.5,
pixel_std=1,
loss=KeyPointBCELossV2(lamb=1),
spinal_model=spinal_model,
cascade_loss=CascadeLossV2(1),
loss_scaler=100,
num_cascades=3)
# 加载第一次训练好的模型
kp_model.load_state_dict(torch.load('../models/pretrained_34.kp_model'),
strict=False)
# 建立疾病分类模型
dis_model = DiseaseModelBase(kp_model, sagittal_size=(512, 512))
# 放置到GPU
dis_model.cuda()
# 打印模型参数
print(dis_model)
# 设定训练参数
train_dataloader = DisDataLoader(train_studies,
train_annotation,
batch_size=8,
num_workers=0,
num_rep=20,
prob_rotate=1,
max_angel=180,
sagittal_size=dis_model.sagittal_size,
transverse_size=dis_model.sagittal_size,