基于 FCN 网络对鸡蛋、鸭蛋分割、缺陷分割的5分割实战【包含数据集、完整代码、训练好的结果、权重文件等等】

[train hyper-parameters: Namespace(backbone='resnet50', base_size=300, batch_size=8, crop_size=256, epochs=5, img_f='.jpg', lr=0.001, lrf=0.01, mask_f='_mask.png', pretrained=True, visTrainSets=True)] [epoch: 1] global correct: 0.8695 precision: ['0.9570', '0.7075', '0.0721', '0.6399', '0.0000'] recall: ['0.9603', '0.9568', '0.0014', '0.3406', '0.0000'] IoU: ['0.9206', '0.6856', '0.0014', '0.2858', '0.0000'] mean IoU: 0.3787 [epoch: 2] global correct: 0.8764 precision: ['0.9760', '0.7023', '0.4452', '0.7460', '0.1096'] recall: ['0.9560', '0.9861', '0.0067', '0.3886', '0.0760'] IoU: ['0.9340', '0.6954', '0.0067', '0.3432', '0.0470'] mean IoU: 0.4053 [epoch: 3] global correct: 0.8807 precision: ['0.9733', '0.7083', '0.6284', '0.8679', '0.1981'] recall: ['0.9602', '0.9792', '0.0825', '0.3547', '0.0748'] IoU: ['0.9356', '0.6978', '0.0786', '0.3366', '0.0574'] mean IoU: 0.4212 [epoch: 4] global correct: 0.8805 precision: ['0.9825', '0.6990', '0.6826', '0.7544', '0.2756'] recall: ['0.9573', '0.9631', '0.2255', '0.2821', '0.0273'] IoU: ['0.9413', '0.6807', '0.2041', '0.2584', '0.0254'] mean IoU: 0.4220 [epoch: 5] global correct: 0.8916 precision: ['0.9831', '0.7261', '0.7884', '0.7962', '0.3019'] recall: ['0.9664', '0.9824', '0.0938', '0.4571', '0.2724'] IoU: ['0.9506', '0.7168', '0.0915', '0.4092', '0.1671'] mean IoU: 0.4670