深度学习 Unet 实战分割项目、多尺度训练、多类别分割：DRIVE视神经分割数据集

[train hyper-parameters: Namespace(base_size=600, crop_size=512, batch_size=4, epochs=50, lr=0.01, lrf=0.01)] [epoch: 1] global correct: 0.9075 precision: ['0.9075', '0.0000'] recall: ['1.0000', '0.0000'] IoU: ['0.9075', '0.0000'] mean IoU: 0.4537 [epoch: 2] global correct: 0.9075 precision: ['0.9075', '0.0000'] recall: ['1.0000', '0.0000'] IoU: ['0.9075', '0.0000'] mean IoU: 0.4537 [epoch: 3] global correct: 0.9075 precision: ['0.9075', '0.0000'] recall: ['1.0000', '0.0000'] IoU: ['0.9075', '0.0000'] mean IoU: 0.4537 [epoch: 4] global correct: 0.9078 precision: ['0.9077', '1.0000'] recall: ['1.0000', '0.0032'] IoU: ['0.9077', '0.0032'] mean IoU: 0.4555 [epoch: 5] global correct: 0.9230 precision: ['0.9233', '0.9054'] recall: ['0.9980', '0.1871'] IoU: ['0.9216', '0.1835'] mean IoU: 0.5526 [epoch: 6] global correct: 0.9309 precision: ['0.9316', '0.9050'] recall: ['0.9970', '0.2825'] IoU: ['0.9290', '0.2744'] mean IoU: 0.6017 [epoch: 7] global correct: 0.9393 precision: ['0.9391', '0.9435'] recall: ['0.9978', '0.3654'] IoU: ['0.9371', '0.3575'] mean IoU: 0.6473 [epoch: 8] global correct: 0.9472 precision: ['0.9482', '0.9263'] recall: ['0.9962', '0.4661'] IoU: ['0.9448', '0.4494'] mean IoU: 0.6971 [epoch: 9] global correct: 0.9555 precision: ['0.9614', '0.8704'] recall: ['0.9907', '0.6103'] IoU: ['0.9529', '0.5595'] mean IoU: 0.7562 [epoch: 10] global correct: 0.9485 precision: ['0.9707', '0.7260'] recall: ['0.9726', '0.7120'] IoU: ['0.9448', '0.5612'] mean IoU: 0.7530 [epoch: 11] global correct: 0.9556 precision: ['0.9611', '0.8753'] recall: ['0.9912', '0.6070'] IoU: ['0.9530', '0.5586'] mean IoU: 0.7558 [epoch: 12] global correct: 0.9553 precision: ['0.9606', '0.8781'] recall: ['0.9915', '0.6008'] IoU: ['0.9527', '0.5545'] mean IoU: 0.7536 [epoch: 13] global correct: 0.9575 precision: ['0.9640', '0.8684'] recall: ['0.9902', '0.6374'] IoU: ['0.9548', '0.5812'] mean IoU: 0.7680 [epoch: 14] global correct: 0.9587 precision: ['0.9699', '0.8277'] recall: ['0.9851', '0.6999'] IoU: ['0.9559', '0.6108'] mean IoU: 0.7834 [epoch: 15] global correct: 0.9587 precision: ['0.9682', '0.8409'] recall: ['0.9868', '0.6825'] IoU: ['0.9559', '0.6044'] mean IoU: 0.7802 [epoch: 16] global correct: 0.9589 precision: ['0.9676', '0.8493'] recall: ['0.9878', '0.6755'] IoU: ['0.9561', '0.6032'] mean IoU: 0.7797 [epoch: 17] global correct: 0.9577 precision: ['0.9711', '0.8072'] recall: ['0.9826', '0.7134'] IoU: ['0.9547', '0.6095'] mean IoU: 0.7821 [epoch: 18] global correct: 0.9586 precision: ['0.9669', '0.8522'] recall: ['0.9882', '0.6684'] IoU: ['0.9559', '0.5990'] mean IoU: 0.7774 [epoch: 19] global correct: 0.9586 precision: ['0.9683', '0.8396'] recall: ['0.9867', '0.6835'] IoU: ['0.9558', '0.6045'] mean IoU: 0.7802 [epoch: 20] global correct: 0.9594 precision: ['0.9680', '0.8522'] recall: ['0.9880', '0.6792'] IoU: ['0.9567', '0.6076'] mean IoU: 0.7822 [epoch: 21] global correct: 0.9598 precision: ['0.9666', '0.8698'] recall: ['0.9899', '0.6646'] IoU: ['0.9571', '0.6045'] mean IoU: 0.7808 [epoch: 22] global correct: 0.9594 precision: ['0.9675', '0.8558'] recall: ['0.9884', '0.6746'] IoU: ['0.9567', '0.6057'] mean IoU: 0.7812 [epoch: 23] global correct: 0.9586 precision: ['0.9645', '0.8772'] recall: ['0.9908', '0.6423'] IoU: ['0.9560', '0.5893'] mean IoU: 0.7727 [epoch: 24] global correct: 0.9574 precision: ['0.9721', '0.7974'] recall: ['0.9812', '0.7239'] IoU: ['0.9544', '0.6114'] mean IoU: 0.7829 [epoch: 25] global correct: 0.9575 precision: ['0.9630', '0.8794'] recall: ['0.9912', '0.6269'] IoU: ['0.9549', '0.5773'] mean IoU: 0.7661 [epoch: 26] global correct: 0.9600 precision: ['0.9692', '0.8480'] recall: ['0.9874', '0.6918'] IoU: ['0.9573', '0.6155'] mean IoU: 0.7864 [epoch: 27] global correct: 0.9602 precision: ['0.9665', '0.8763'] recall: ['0.9905', '0.6634'] IoU: ['0.9576', '0.6066'] mean IoU: 0.7821 [epoch: 28] global correct: 0.9604 precision: ['0.9677', '0.8670'] recall: ['0.9894', '0.6756'] IoU: ['0.9578', '0.6122'] mean IoU: 0.7850 [epoch: 29] global correct: 0.9595 precision: ['0.9643', '0.8932'] recall: ['0.9922', '0.6393'] IoU: ['0.9570', '0.5939'] mean IoU: 0.7754 [epoch: 30] global correct: 0.9607 precision: ['0.9675', '0.8726'] recall: ['0.9900', '0.6736'] IoU: ['0.9581', '0.6133'] mean IoU: 0.7857 [epoch: 31] global correct: 0.9604 precision: ['0.9664', '0.8803'] recall: ['0.9908', '0.6619'] IoU: ['0.9578', '0.6073'] mean IoU: 0.7825 [epoch: 32] global correct: 0.9610 precision: ['0.9678', '0.8729'] recall: ['0.9899', '0.6769'] IoU: ['0.9584', '0.6162'] mean IoU: 0.7873 [epoch: 33] global correct: 0.9614 precision: ['0.9701', '0.8560'] recall: ['0.9880', '0.7012'] IoU: ['0.9588', '0.6272'] mean IoU: 0.7930 [epoch: 34] global correct: 0.9609 precision: ['0.9673', '0.8775'] recall: ['0.9904', '0.6717'] IoU: ['0.9584', '0.6141'] mean IoU: 0.7862 [epoch: 35] global correct: 0.9611 precision: ['0.9673', '0.8790'] recall: ['0.9906', '0.6715'] IoU: ['0.9585', '0.6147'] mean IoU: 0.7866 [epoch: 36] global correct: 0.9612 precision: ['0.9677', '0.8764'] recall: ['0.9903', '0.6758'] IoU: ['0.9586', '0.6170'] mean IoU: 0.7878 [epoch: 37] global correct: 0.9612 precision: ['0.9679', '0.8753'] recall: ['0.9902', '0.6775'] IoU: ['0.9586', '0.6178'] mean IoU: 0.7882 [epoch: 38] global correct: 0.9613 precision: ['0.9685', '0.8701'] recall: ['0.9896', '0.6844'] IoU: ['0.9587', '0.6210'] mean IoU: 0.7899 [epoch: 39] global correct: 0.9610 precision: ['0.9675', '0.8768'] recall: ['0.9904', '0.6733'] IoU: ['0.9584', '0.6151'] mean IoU: 0.7868 [epoch: 40] global correct: 0.9610 precision: ['0.9669', '0.8818'] recall: ['0.9909', '0.6679'] IoU: ['0.9584', '0.6130'] mean IoU: 0.7857 [epoch: 41] global correct: 0.9614 precision: ['0.9681', '0.8746'] recall: ['0.9901', '0.6800'] IoU: ['0.9588', '0.6196'] mean IoU: 0.7892 [epoch: 42] global correct: 0.9615 precision: ['0.9685', '0.8719'] recall: ['0.9898', '0.6841'] IoU: ['0.9589', '0.6216'] mean IoU: 0.7903 [epoch: 43] global correct: 0.9611 precision: ['0.9672', '0.8812'] recall: ['0.9908', '0.6705'] IoU: ['0.9586', '0.6149'] mean IoU: 0.7868 [epoch: 44] global correct: 0.9607 precision: ['0.9660', '0.8888'] recall: ['0.9916', '0.6581'] IoU: ['0.9582', '0.6080'] mean IoU: 0.7831 [epoch: 45] global correct: 0.9610 precision: ['0.9667', '0.8848'] recall: ['0.9912', '0.6648'] IoU: ['0.9584', '0.6118'] mean IoU: 0.7851 [epoch: 46] global correct: 0.9610 precision: ['0.9667', '0.8858'] recall: ['0.9913', '0.6646'] IoU: ['0.9585', '0.6122'] mean IoU: 0.7853 [epoch: 47] global correct: 0.9612 precision: ['0.9671', '0.8830'] recall: ['0.9910', '0.6689'] IoU: ['0.9586', '0.6145'] mean IoU: 0.7865 [epoch: 48] global correct: 0.9613 precision: ['0.9674', '0.8812'] recall: ['0.9908', '0.6722'] IoU: ['0.9587', '0.6164'] mean IoU: 0.7875 [epoch: 49] global correct: 0.9613 precision: ['0.9675', '0.8800'] recall: ['0.9906', '0.6739'] IoU: ['0.9587', '0.6172'] mean IoU: 0.7880 [epoch: 50] global correct: 0.9613 precision: ['0.9672', '0.8828'] recall: ['0.9909', '0.6703'] IoU: ['0.9587', '0.6156'] mean IoU: 0.7871