基于Unet+Resnet对大型植物叶片分割【数据集+完整代码+训练结果】

[train hyper-parameters: Namespace(base_size=400, batch_size=8, crop_size=224, epochs=15, lr=0.01, lrf=0.001)] [epoch: 1] global correct: 0.8602 precision: ['0.9245', '0.7964', '0.0000'] recall: ['0.8241', '0.9245', '0.0000'] IoU: ['0.7721', '0.7477', '0.0000'] mean IoU: 0.5066 [epoch: 2] global correct: 0.8756 precision: ['0.9251', '0.8231', '0.0000'] recall: ['0.8527', '0.9232', '0.0000'] IoU: ['0.7976', '0.7704', '0.0000'] mean IoU: 0.5227 [epoch: 3] global correct: 0.8730 precision: ['0.8946', '0.8464', '0.0000'] recall: ['0.8836', '0.8771', '0.0000'] IoU: ['0.8003', '0.7567', '0.0000'] mean IoU: 0.5190 [epoch: 4] global correct: 0.8894 precision: ['0.8998', '0.8760', '0.0000'] recall: ['0.9050', '0.8875', '0.0000'] IoU: ['0.8222', '0.7884', '0.0000'] mean IoU: 0.5369 [epoch: 5] global correct: 0.8901 precision: ['0.9442', '0.8342', '0.0000'] recall: ['0.8597', '0.9476', '0.0000'] IoU: ['0.8181', '0.7974', '0.0000'] mean IoU: 0.5385 [epoch: 6] global correct: 0.8993 precision: ['0.9457', '0.8497', '0.0000'] recall: ['0.8747', '0.9495', '0.0000'] IoU: ['0.8329', '0.8130', '0.0000'] mean IoU: 0.5486 [epoch: 7] global correct: 0.9001 precision: ['0.9352', '0.8605', '0.0000'] recall: ['0.8877', '0.9345', '0.0000'] IoU: ['0.8363', '0.8115', '0.0000'] mean IoU: 0.5493 [epoch: 8] global correct: 0.9189 precision: ['0.9286', '0.9065', '0.0000'] recall: ['0.9306', '0.9225', '0.0000'] IoU: ['0.8684', '0.8424', '0.0000'] mean IoU: 0.5703 [epoch: 9] global correct: 0.8819 precision: ['0.9765', '0.8072', '0.3812'] recall: ['0.8177', '0.9737', '0.4475'] IoU: ['0.8019', '0.7900', '0.2592'] mean IoU: 0.6170 [epoch: 10] global correct: 0.9174 precision: ['0.9558', '0.8876', '0.3931'] recall: ['0.9018', '0.9450', '0.5523'] IoU: ['0.8657', '0.8440', '0.2981'] mean IoU: 0.6693 [epoch: 11] global correct: 0.9306 precision: ['0.9466', '0.9138', '0.6737'] recall: ['0.9334', '0.9376', '0.4107'] IoU: ['0.8867', '0.8615', '0.3426'] mean IoU: 0.6969 [epoch: 12] global correct: 0.9324 precision: ['0.9478', '0.9187', '0.6359'] recall: ['0.9348', '0.9362', '0.5938'] IoU: ['0.8890', '0.8646', '0.4431'] mean IoU: 0.7322 [epoch: 13] global correct: 0.9284 precision: ['0.9626', '0.8930', '0.7077'] recall: ['0.9104', '0.9587', '0.5856'] IoU: ['0.8793', '0.8599', '0.4715'] mean IoU: 0.7369 [epoch: 14] global correct: 0.9366 precision: ['0.9523', '0.9247', '0.5865'] recall: ['0.9384', '0.9399', '0.6563'] IoU: ['0.8963', '0.8731', '0.4487'] mean IoU: 0.7394 [epoch: 15] global correct: 0.9384 precision: ['0.9536', '0.9276', '0.5816'] recall: ['0.9407', '0.9408', '0.6735'] IoU: ['0.8996', '0.8764', '0.4537'] mean IoU: 0.7432