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- ssh://root@192.168.207.114:52090/userhome/anaconda3/envs/cdnet/bin/python -u /tmp/pycharm_hannet_i7/train.py
- ======>>>True, 0_HanNet[None][adam]_sche[None]_3c_input256over40bs2_e300
- ================================= seed = 2022 =================================
- 2021-11-30 12:20 ***** Training starts *****
- 2021-11-30 12:20 save directory: ./experiments/MoNuSeg_oridata/0_HanNet[None][adam]_sche[None]_3c_input256over40bs2_e300
- 2021-11-30 12:20
- # ------------------------- Options ------------------------- #
- dataset: MoNuSeg_oridata
- isTrain: True
- all_img_test: 1
- momentum: 0.95
-
- *************** model ***************
- multi_class: True
- in_c: 3
- out_c: 3
- direction: 0
- n_layers: 6
- growth_rate: 24
- drop_rate: 0.1
- compress_ratio: 0.5
- dilations: [1, 2, 4, 8, 16, 4, 1]
- is_hybrid: True
- layer_type: basic
- mean_std: mean_std
- add_weightMap: 1
- dice: 1
- boundary_loss: 0
- mseloss: 0
- modelName: HanNet
- backbone: None
- pretrained: 1
- LossName: CE1_Dice1
- exp_filename: 0_HanNet[None][adam]_sche[None]_3c_input256over40bs2_e300
- direction_classes: 9
-
- *************** train ***************
- branch: 5
- num_epochs: 300
- input_size: 256
- batch_size: 2
- val_overlap: 40
- seed: 2022
- early_stop: 7
- scheduler: None
- step: 5
- lr: 0.001
- lr_decay: 0.995
- weight_decay: 0.0001
- log_interval: 15
- workers: 8
- gpu: [0]
- alpha: 0.0
- optimizer: adam
- validation: 0
- checkpoint_freq: 100
- start_epoch: 0
- checkpoint:
- trans_train: _noRRe_isRCo_isHF_noRA_isRE_noRRo_isRCr_isCAu_isLE_noNorm
- data_dir: ./data/MoNuSeg_oridata
- save_dir: ./experiments/MoNuSeg_oridata/0_HanNet[None][adam]_sche[None]_3c_input256over40bs2_e300
- weight_map_dir: ./data/MoNuSeg_oridata/weight_maps
- img_dir: ./data/MoNuSeg_oridata/images
- label_dir: ./data/MoNuSeg_oridata/labels
- transform_string: _noRRe_isRCo_isHF_noRA_isRE_noRRo_isRCr_isCAu_isLE_noNorm
- transform_str: _noRRe_isRCo_isHF_noRA_isRE_noRRo_isRCr_isCAu_isLE_noNorm
-
- *************** transform ***************
- train:
- random_color: 1
- horizontal_flip: True
- vertical_flip: True
- random_elastic: [6, 15]
- random_chooseAug: 1
- random_crop: 256
- label_encoding: [3, 2, 0]
- to_tensor: 1
- val:
- label_encoding: [3, 2, 0]
- to_tensor: 1
- # -------------------------- End -------------------------- #
-
- CrossEntropyLoss()
- MoNuSeg_oridata_logExl.csv have been exist
- opt.train[trans_train] = _noRRe_isRCo_isHF_noRA_isRE_noRRo_isRCr_isCAu_isLE_noNorm
- Scheduler None not available
- ====== Compose(_random_color_horizontal_flip_vertical_flip_random_elastic_random_chooseAug_random_crop_label_encoding_to_tensor), ====== each epoch work time is [0.0000 min].
- ====== Compose(_label_encoding_to_tensor), ====== each epoch work time is [0.0000 min].
- dir_list = ['./data/MoNuSeg_oridata/images/train_300', './data/MoNuSeg_oridata/weight_maps/train_300', './data/MoNuSeg_oridata/labels/train_300']
- post_fix = ['weight.png', 'label.png']
- 2021-11-30 12:20 =======================No validation=======================
- ===================== do early_stop = 7 =====================
- 2021-11-30 12:20 Epoch: [1/300]
- epoch: 0, iter: 0, loss=4.2122, pixel_accu=0.6304, p_iou=0.0781, p_recall=0.3115, p_precision=0.0944, p_F1=0.1448
- epoch: 0, iter: 5, loss=5.6238, pixel_accu=0.5733, p_iou=0.0029, p_recall=0.0076, p_precision=0.0045, p_F1=0.0057
- epoch: 0, iter: 10, loss=2.6858, pixel_accu=0.8553, p_iou=0.3391, p_recall=0.5553, p_precision=0.4656, p_F1=0.5065
- epoch: 0, iter: 15, loss=2.1601, pixel_accu=0.7956, p_iou=0.3545, p_recall=0.8488, p_precision=0.3784, p_F1=0.5234
- epoch: 0, iter: 20, loss=3.8328, pixel_accu=0.8370, p_iou=0.3326, p_recall=0.5898, p_precision=0.4328, p_F1=0.4992
- epoch: 0, iter: 25, loss=3.5232, pixel_accu=0.7011, p_iou=0.1371, p_recall=0.1760, p_precision=0.3826, p_F1=0.2411
- epoch: 0, iter: 30, loss=2.9777, pixel_accu=0.8744, p_iou=0.3314, p_recall=0.7522, p_precision=0.3720, p_F1=0.4978
- epoch: 0, iter: 35, loss=2.8701, pixel_accu=0.8745, p_iou=0.3865, p_recall=0.7177, p_precision=0.4558, p_F1=0.5575
- epoch: 0, iter: 40, loss=3.0956, pixel_accu=0.8058, p_iou=0.3493, p_recall=0.9490, p_precision=0.3560, p_F1=0.5178
- epoch: 0, iter: 45, loss=2.9850, pixel_accu=0.7704, p_iou=0.4852, p_recall=0.7339, p_precision=0.5887, p_F1=0.6533
- epoch: 0, iter: 50, loss=3.7137, pixel_accu=0.8040, p_iou=0.5798, p_recall=0.6288, p_precision=0.8814, p_F1=0.7340
- epoch: 0, iter: 55, loss=2.1977, pixel_accu=0.9143, p_iou=0.2401, p_recall=0.7195, p_precision=0.2649, p_F1=0.3872
- epoch: 0, iter: 60, loss=2.4449, pixel_accu=0.8232, p_iou=0.2480, p_recall=0.3241, p_precision=0.5136, p_F1=0.3974
- epoch: 0, iter: 65, loss=1.6106, pixel_accu=0.9216, p_iou=0.5740, p_recall=0.9546, p_precision=0.5901, p_F1=0.7293
- epoch: 0, iter: 70, loss=2.0613, pixel_accu=0.8840, p_iou=0.3592, p_recall=0.6663, p_precision=0.4380, p_F1=0.5286
- epoch: 0, iter: 75, loss=3.2046, pixel_accu=0.7921, p_iou=0.2542, p_recall=0.2942, p_precision=0.6514, p_F1=0.4054
- epoch: 0, iter: 80, loss=1.8531, pixel_accu=0.9136, p_iou=0.2806, p_recall=0.9424, p_precision=0.2855, p_F1=0.4382
- epoch: 0, iter: 85, loss=2.7723, pixel_accu=0.9184, p_iou=0.1337, p_recall=0.2783, p_precision=0.2048, p_F1=0.2359
- epoch: 0, iter: 90, loss=2.5005, pixel_accu=0.8668, p_iou=0.5319, p_recall=0.7264, p_precision=0.6652, p_F1=0.6944
- epoch: 0, iter: 95, loss=2.3234, pixel_accu=0.8804, p_iou=0.2313, p_recall=0.2803, p_precision=0.5694, p_F1=0.3757
- epoch: 0, iter:100, loss=1.9853, pixel_accu=0.8936, p_iou=0.4657, p_recall=0.7064, p_precision=0.5775, p_F1=0.6355
- epoch: 0, iter:105, loss=2.2011, pixel_accu=0.9001, p_iou=0.5419, p_recall=0.6137, p_precision=0.8226, p_F1=0.7029
- epoch: 0, iter:110, loss=1.8969, pixel_accu=0.9218, p_iou=0.4532, p_recall=0.6888, p_precision=0.5699, p_F1=0.6238
- epoch: 0, iter:115, loss=2.1127, pixel_accu=0.9074, p_iou=0.5461, p_recall=0.7599, p_precision=0.6599, p_F1=0.7064
- epoch: 0, iter:120, loss=3.4345, pixel_accu=0.7826, p_iou=0.3643, p_recall=0.3786, p_precision=0.9062, p_F1=0.5340
- epoch: 0, iter:125, loss=1.9683, pixel_accu=0.9115, p_iou=0.4052, p_recall=0.6355, p_precision=0.5279, p_F1=0.5767
- epoch: 0, iter:130, loss=2.6242, pixel_accu=0.8430, p_iou=0.3930, p_recall=0.4447, p_precision=0.7717, p_F1=0.5643
- epoch: 0, iter:135, loss=1.7081, pixel_accu=0.9355, p_iou=0.5945, p_recall=0.8512, p_precision=0.6635, p_F1=0.7457
- epoch: 0, iter:140, loss=1.7770, pixel_accu=0.9330, p_iou=0.4983, p_recall=0.9251, p_precision=0.5193, p_F1=0.6652
- epoch: 0, iter:145, loss=3.0309, pixel_accu=0.7997, p_iou=0.3696, p_recall=0.4251, p_precision=0.7392, p_F1=0.5397
- epoch: 0, iter:150, loss=2.1746, pixel_accu=0.8736, p_iou=0.5156, p_recall=0.8366, p_precision=0.5733, p_F1=0.6804
- epoch: 0, iter:155, loss=2.9440, pixel_accu=0.8889, p_iou=0.3608, p_recall=0.6494, p_precision=0.4481, p_F1=0.5303
- epoch: 0, iter:160, loss=2.0662, pixel_accu=0.8522, p_iou=0.3350, p_recall=0.8351, p_precision=0.3587, p_F1=0.5018
- epoch: 0, iter:165, loss=1.9116, pixel_accu=0.8989, p_iou=0.4755, p_recall=0.7454, p_precision=0.5678, p_F1=0.6446
- epoch: 0, iter:170, loss=2.4935, pixel_accu=0.8623, p_iou=0.3403, p_recall=0.4755, p_precision=0.5447, p_F1=0.5077
- epoch: 0, iter:175, loss=2.4387, pixel_accu=0.8301, p_iou=0.2434, p_recall=0.8754, p_precision=0.2522, p_F1=0.3915
- epoch: 0, iter:180, loss=2.1895, pixel_accu=0.7010, p_iou=0.0520, p_recall=0.2313, p_precision=0.0628, p_F1=0.0988
- epoch: 0, iter:185, loss=2.7570, pixel_accu=0.7546, p_iou=0.2366, p_recall=0.3316, p_precision=0.4523, p_F1=0.3827
- epoch: 0, iter:190, loss=1.7782, pixel_accu=0.9280, p_iou=0.6907, p_recall=0.8070, p_precision=0.8273, p_F1=0.8170
- 2021-11-30 12:21 => Train Avg: Loss 2.6211 Loss_CE 1.0599 Loss_var -1.0000 Pixel_Accu 0.8459
- pixel_IoU 0.3703 pixel_Recall 0.6082 pixel_Precision 0.5293 pixel_F1 0.5258
- ======= train() ======== each epoch work time is [87.3753 s].
- ======= validate() ======== each epoch work time is [0.0001 s].
- epoch = 0, cp_flag = 1
- 2021-11-30 12:21 Epoch: [2/300]
- epoch: 1, iter: 0, loss=2.0958, pixel_accu=0.8984, p_iou=0.2652, p_recall=0.7803, p_precision=0.2866, p_F1=0.4193
- epoch: 1, iter: 5, loss=2.6481, pixel_accu=0.8150, p_iou=0.5378, p_recall=0.6435, p_precision=0.7660, p_F1=0.6994
- epoch: 1, iter: 10, loss=2.6780, pixel_accu=0.8430, p_iou=0.6185, p_recall=0.6865, p_precision=0.8620, p_F1=0.7643
- epoch: 1, iter: 15, loss=1.8507, pixel_accu=0.9288, p_iou=0.6277, p_recall=0.8077, p_precision=0.7380, p_F1=0.7713
- epoch: 1, iter: 20, loss=2.4962, pixel_accu=0.8478, p_iou=0.3329, p_recall=0.4034, p_precision=0.6558, p_F1=0.4995
- epoch: 1, iter: 25, loss=2.2373, pixel_accu=0.8798, p_iou=0.5335, p_recall=0.6260, p_precision=0.7832, p_F1=0.6958
- epoch: 1, iter: 30, loss=1.9236, pixel_accu=0.8950, p_iou=0.4395, p_recall=0.7291, p_precision=0.5254, p_F1=0.6107
- epoch: 1, iter: 35, loss=2.3566, pixel_accu=0.8314, p_iou=0.3386, p_recall=0.3822, p_precision=0.7480, p_F1=0.5059
- epoch: 1, iter: 40, loss=2.4708, pixel_accu=0.9204, p_iou=0.4088, p_recall=0.7192, p_precision=0.4865, p_F1=0.5804
- epoch: 1, iter: 45, loss=2.2369, pixel_accu=0.8465, p_iou=0.3539, p_recall=0.9516, p_precision=0.3604, p_F1=0.5228
- epoch: 1, iter: 50, loss=3.7221, pixel_accu=0.7509, p_iou=0.4069, p_recall=0.4174, p_precision=0.9415, p_F1=0.5784
- epoch: 1, iter: 55, loss=2.5581, pixel_accu=0.7921, p_iou=0.3888, p_recall=0.4332, p_precision=0.7912, p_F1=0.5599
- epoch: 1, iter: 60, loss=2.1376, pixel_accu=0.8682, p_iou=0.3165, p_recall=0.9143, p_precision=0.3262, p_F1=0.4809
- epoch: 1, iter: 65, loss=3.4465, pixel_accu=0.8031, p_iou=0.4470, p_recall=0.5126, p_precision=0.7775, p_F1=0.6178
- epoch: 1, iter: 70, loss=2.6837, pixel_accu=0.8591, p_iou=0.4614, p_recall=0.7243, p_precision=0.5597, p_F1=0.6314
- epoch: 1, iter: 75, loss=1.6931, pixel_accu=0.9272, p_iou=0.5218, p_recall=0.5867, p_precision=0.8252, p_F1=0.6858
- epoch: 1, iter: 80, loss=1.9026, pixel_accu=0.9144, p_iou=0.5019, p_recall=0.7326, p_precision=0.6144, p_F1=0.6683
- epoch: 1, iter: 85, loss=1.6440, pixel_accu=0.9224, p_iou=0.5717, p_recall=0.6630, p_precision=0.8058, p_F1=0.7275
- epoch: 1, iter: 90, loss=1.7595, pixel_accu=0.9194, p_iou=0.4460, p_recall=0.5863, p_precision=0.6509, p_F1=0.6169
- epoch: 1, iter: 95, loss=3.5885, pixel_accu=0.7620, p_iou=0.3920, p_recall=0.3990, p_precision=0.9574, p_F1=0.5632
- epoch: 1, iter:100, loss=1.9365, pixel_accu=0.9146, p_iou=0.5445, p_recall=0.8402, p_precision=0.6074, p_F1=0.7051
- epoch: 1, iter:105, loss=3.7242, pixel_accu=0.7683, p_iou=0.2451, p_recall=0.2817, p_precision=0.6534, p_F1=0.3937
- epoch: 1, iter:110, loss=3.3049, pixel_accu=0.8078, p_iou=0.4311, p_recall=0.4846, p_precision=0.7961, p_F1=0.6025
- epoch: 1, iter:115, loss=2.1195, pixel_accu=0.9315, p_iou=0.4928, p_recall=0.8669, p_precision=0.5331, p_F1=0.6602
- epoch: 1, iter:120, loss=1.9020, pixel_accu=0.9327, p_iou=0.5384, p_recall=0.9028, p_precision=0.5715, p_F1=0.7000
- epoch: 1, iter:125, loss=1.5583, pixel_accu=0.9591, p_iou=0.6444, p_recall=0.9494, p_precision=0.6673, p_F1=0.7837
- epoch: 1, iter:130, loss=2.2597, pixel_accu=0.8858, p_iou=0.5329, p_recall=0.6848, p_precision=0.7061, p_F1=0.6953
- epoch: 1, iter:135, loss=2.3915, pixel_accu=0.9312, p_iou=0.4416, p_recall=0.6462, p_precision=0.5824, p_F1=0.6126
- epoch: 1, iter:140, loss=1.4312, pixel_accu=0.9583, p_iou=0.5619, p_recall=0.7260, p_precision=0.7132, p_F1=0.7195
- epoch: 1, iter:145, loss=2.0808, pixel_accu=0.8861, p_iou=0.4407, p_recall=0.8300, p_precision=0.4844, p_F1=0.6118
- epoch: 1, iter:150, loss=2.7376, pixel_accu=0.7995, p_iou=0.3178, p_recall=0.4160, p_precision=0.5739, p_F1=0.4823
- epoch: 1, iter:155, loss=3.2668, pixel_accu=0.8080, p_iou=0.4295, p_recall=0.4787, p_precision=0.8068, p_F1=0.6009
- epoch: 1, iter:160, loss=1.8930, pixel_accu=0.9229, p_iou=0.5556, p_recall=0.8794, p_precision=0.6014, p_F1=0.7143
- epoch: 1, iter:165, loss=2.8039, pixel_accu=0.8351, p_iou=0.2928, p_recall=0.3407, p_precision=0.6756, p_F1=0.4530
- epoch: 1, iter:170, loss=2.9924, pixel_accu=0.8855, p_iou=0.4993, p_recall=0.7284, p_precision=0.6135, p_F1=0.6661
- epoch: 1, iter:175, loss=2.1948, pixel_accu=0.9055, p_iou=0.6537, p_recall=0.7098, p_precision=0.8920, p_F1=0.7906
- epoch: 1, iter:180, loss=2.1333, pixel_accu=0.9085, p_iou=0.6694, p_recall=0.7485, p_precision=0.8638, p_F1=0.8020
- epoch: 1, iter:185, loss=1.9861, pixel_accu=0.9072, p_iou=0.6507, p_recall=0.7764, p_precision=0.8008, p_F1=0.7884
- epoch: 1, iter:190, loss=2.1709, pixel_accu=0.8954, p_iou=0.4990, p_recall=0.8798, p_precision=0.5355, p_F1=0.6658
- 2021-11-30 12:23 => Train Avg: Loss 2.3236 Loss_CE 0.9348 Loss_var -1.0000 Pixel_Accu 0.8835
- pixel_IoU 0.4538 pixel_Recall 0.6697 pixel_Precision 0.6221 pixel_F1 0.6146
- 2021-11-30 12:23 Epoch: [3/300]
- epoch: 2, iter: 0, loss=1.6826, pixel_accu=0.9389, p_iou=0.5583, p_recall=0.8188, p_precision=0.6370, p_F1=0.7165
- epoch: 2, iter: 5, loss=2.2316, pixel_accu=0.8668, p_iou=0.3104, p_recall=0.3864, p_precision=0.6121, p_F1=0.4738
- epoch: 2, iter: 10, loss=1.6259, pixel_accu=0.9302, p_iou=0.4675, p_recall=0.7726, p_precision=0.5421, p_F1=0.6371
- epoch: 2, iter: 15, loss=2.2347, pixel_accu=0.8809, p_iou=0.5401, p_recall=0.6568, p_precision=0.7525, p_F1=0.7014
- epoch: 2, iter: 20, loss=1.4231, pixel_accu=0.9606, p_iou=0.6519, p_recall=0.8910, p_precision=0.7084, p_F1=0.7893
- epoch: 2, iter: 25, loss=1.9658, pixel_accu=0.9154, p_iou=0.4209, p_recall=0.4500, p_precision=0.8669, p_F1=0.5925
- epoch: 2, iter: 30, loss=1.8884, pixel_accu=0.9139, p_iou=0.5978, p_recall=0.6607, p_precision=0.8627, p_F1=0.7483
- epoch: 2, iter: 35, loss=2.3321, pixel_accu=0.8290, p_iou=0.4080, p_recall=0.8110, p_precision=0.4508, p_F1=0.5795
- epoch: 2, iter: 40, loss=1.8194, pixel_accu=0.9247, p_iou=0.5478, p_recall=0.8898, p_precision=0.5877, p_F1=0.7078
- epoch: 2, iter: 45, loss=1.9733, pixel_accu=0.9002, p_iou=0.5147, p_recall=0.6010, p_precision=0.7820, p_F1=0.6796
- epoch: 2, iter: 50, loss=1.7858, pixel_accu=0.9057, p_iou=0.3578, p_recall=0.7829, p_precision=0.3972, p_F1=0.5270
- epoch: 2, iter: 55, loss=1.3303, pixel_accu=0.9592, p_iou=0.6636, p_recall=0.8309, p_precision=0.7672, p_F1=0.7978
- epoch: 2, iter: 60, loss=2.6565, pixel_accu=0.8515, p_iou=0.5982, p_recall=0.7109, p_precision=0.7905, p_F1=0.7486
- epoch: 2, iter: 65, loss=3.8826, pixel_accu=0.7917, p_iou=0.3873, p_recall=0.4021, p_precision=0.9136, p_F1=0.5584
- epoch: 2, iter: 70, loss=1.9906, pixel_accu=0.9463, p_iou=0.4842, p_recall=0.8983, p_precision=0.5123, p_F1=0.6525
- epoch: 2, iter: 75, loss=3.2067, pixel_accu=0.7784, p_iou=0.3884, p_recall=0.3925, p_precision=0.9740, p_F1=0.5595
- epoch: 2, iter: 80, loss=2.8503, pixel_accu=0.8457, p_iou=0.5356, p_recall=0.6910, p_precision=0.7043, p_F1=0.6976
- epoch: 2, iter: 85, loss=2.1169, pixel_accu=0.8475, p_iou=0.5231, p_recall=0.7494, p_precision=0.6340, p_F1=0.6869
- epoch: 2, iter: 90, loss=2.4668, pixel_accu=0.8773, p_iou=0.3807, p_recall=0.3877, p_precision=0.9548, p_F1=0.5515
- epoch: 2, iter: 95, loss=2.6093, pixel_accu=0.8141, p_iou=0.3788, p_recall=0.4888, p_precision=0.6271, p_F1=0.5494
- epoch: 2, iter:100, loss=1.5485, pixel_accu=0.9734, p_iou=0.4479, p_recall=0.6569, p_precision=0.5846, p_F1=0.6187
- epoch: 2, iter:105, loss=4.7611, pixel_accu=0.6637, p_iou=0.2126, p_recall=0.2683, p_precision=0.5058, p_F1=0.3507
- epoch: 2, iter:110, loss=1.6142, pixel_accu=0.9584, p_iou=0.5543, p_recall=0.9362, p_precision=0.5761, p_F1=0.7133
- epoch: 2, iter:115, loss=1.9096, pixel_accu=0.9297, p_iou=0.4814, p_recall=0.7231, p_precision=0.5901, p_F1=0.6499
- epoch: 2, iter:120, loss=3.0664, pixel_accu=0.8478, p_iou=0.3988, p_recall=0.4952, p_precision=0.6719, p_F1=0.5702
- epoch: 2, iter:125, loss=2.0494, pixel_accu=0.8731, p_iou=0.4023, p_recall=0.5710, p_precision=0.5766, p_F1=0.5738
- epoch: 2, iter:130, loss=3.4002, pixel_accu=0.7977, p_iou=0.4810, p_recall=0.5966, p_precision=0.7129, p_F1=0.6496
- epoch: 2, iter:135, loss=2.1967, pixel_accu=0.8299, p_iou=0.3487, p_recall=0.9038, p_precision=0.3622, p_F1=0.5171
- epoch: 2, iter:140, loss=1.7493, pixel_accu=0.9558, p_iou=0.5401, p_recall=0.7194, p_precision=0.6844, p_F1=0.7014
- epoch: 2, iter:145, loss=4.0695, pixel_accu=0.7250, p_iou=0.2315, p_recall=0.2532, p_precision=0.7296, p_F1=0.3759
- epoch: 2, iter:150, loss=2.0240, pixel_accu=0.9104, p_iou=0.3572, p_recall=0.3943, p_precision=0.7917, p_F1=0.5264
- epoch: 2, iter:155, loss=2.6382, pixel_accu=0.8430, p_iou=0.4945, p_recall=0.6206, p_precision=0.7088, p_F1=0.6618
- epoch: 2, iter:160, loss=2.2682, pixel_accu=0.8109, p_iou=0.3925, p_recall=0.5997, p_precision=0.5317, p_F1=0.5637
- epoch: 2, iter:165, loss=1.8180, pixel_accu=0.9139, p_iou=0.6100, p_recall=0.7350, p_precision=0.7820, p_F1=0.7578
- epoch: 2, iter:170, loss=1.9874, pixel_accu=0.8708, p_iou=0.5070, p_recall=0.8293, p_precision=0.5661, p_F1=0.6728
- epoch: 2, iter:175, loss=1.9086, pixel_accu=0.9116, p_iou=0.4471, p_recall=0.7441, p_precision=0.5283, p_F1=0.6179
- epoch: 2, iter:180, loss=4.6937, pixel_accu=0.7286, p_iou=0.4001, p_recall=0.4019, p_precision=0.9887, p_F1=0.5715
- epoch: 2, iter:185, loss=2.2250, pixel_accu=0.8554, p_iou=0.5609, p_recall=0.7833, p_precision=0.6639, p_F1=0.7187
- epoch: 2, iter:190, loss=1.5161, pixel_accu=0.9418, p_iou=0.5967, p_recall=0.6383, p_precision=0.9015, p_F1=0.7474
- 2021-11-30 12:24 => Train Avg: Loss 2.2690 Loss_CE 0.9256 Loss_var -1.0000 Pixel_Accu 0.8869
- pixel_IoU 0.4724 pixel_Recall 0.6761 pixel_Precision 0.6438 pixel_F1 0.6341
- epoch = 2, cp_flag = 1
- 2021-11-30 12:24 Epoch: [4/300]
- epoch: 3, iter: 0, loss=2.3121, pixel_accu=0.8424, p_iou=0.3989, p_recall=0.4530, p_precision=0.7695, p_F1=0.5703
- epoch: 3, iter: 5, loss=2.6828, pixel_accu=0.8412, p_iou=0.4960, p_recall=0.6630, p_precision=0.6632, p_F1=0.6631
- epoch: 3, iter: 10, loss=1.9338, pixel_accu=0.9448, p_iou=0.4419, p_recall=0.7065, p_precision=0.5413, p_F1=0.6129
- epoch: 3, iter: 15, loss=2.9179, pixel_accu=0.8212, p_iou=0.4366, p_recall=0.5151, p_precision=0.7413, p_F1=0.6079
- epoch: 3, iter: 20, loss=1.8706, pixel_accu=0.9264, p_iou=0.3473, p_recall=0.7140, p_precision=0.4034, p_F1=0.5156
- epoch: 3, iter: 25, loss=2.4825, pixel_accu=0.8626, p_iou=0.6461, p_recall=0.8416, p_precision=0.7355, p_F1=0.7850
- epoch: 3, iter: 30, loss=2.4122, pixel_accu=0.8972, p_iou=0.2938, p_recall=0.8004, p_precision=0.3170, p_F1=0.4542
- epoch: 3, iter: 35, loss=2.8309, pixel_accu=0.8396, p_iou=0.4939, p_recall=0.6567, p_precision=0.6658, p_F1=0.6612
- epoch: 3, iter: 40, loss=1.4587, pixel_accu=0.9716, p_iou=0.6596, p_recall=0.8186, p_precision=0.7726, p_F1=0.7949
- epoch: 3, iter: 45, loss=1.7093, pixel_accu=0.9475, p_iou=0.5609, p_recall=0.7500, p_precision=0.6900, p_F1=0.7187
- epoch: 3, iter: 50, loss=2.2251, pixel_accu=0.8964, p_iou=0.5384, p_recall=0.7586, p_precision=0.6497, p_F1=0.6999
- epoch: 3, iter: 55, loss=1.5384, pixel_accu=0.9392, p_iou=0.6020, p_recall=0.6222, p_precision=0.9488, p_F1=0.7516
- epoch: 3, iter: 60, loss=1.9125, pixel_accu=0.8939, p_iou=0.4898, p_recall=0.8558, p_precision=0.5339, p_F1=0.6576
- epoch: 3, iter: 65, loss=1.6481, pixel_accu=0.9527, p_iou=0.4522, p_recall=0.7820, p_precision=0.5175, p_F1=0.6228
- epoch: 3, iter: 70, loss=1.4786, pixel_accu=0.9490, p_iou=0.5078, p_recall=0.8277, p_precision=0.5679, p_F1=0.6736
- epoch: 3, iter: 75, loss=4.5710, pixel_accu=0.7325, p_iou=0.1539, p_recall=0.1669, p_precision=0.6635, p_F1=0.2667
- epoch: 3, iter: 80, loss=1.9346, pixel_accu=0.8965, p_iou=0.3708, p_recall=0.9078, p_precision=0.3853, p_F1=0.5410
- epoch: 3, iter: 85, loss=1.8751, pixel_accu=0.9051, p_iou=0.5422, p_recall=0.9030, p_precision=0.5758, p_F1=0.7032
- epoch: 3, iter: 90, loss=2.2236, pixel_accu=0.8800, p_iou=0.4842, p_recall=0.7941, p_precision=0.5538, p_F1=0.6525
- epoch: 3, iter: 95, loss=1.6181, pixel_accu=0.9645, p_iou=0.5556, p_recall=0.8508, p_precision=0.6156, p_F1=0.7143
- epoch: 3, iter:100, loss=1.6368, pixel_accu=0.9602, p_iou=0.5008, p_recall=0.8859, p_precision=0.5353, p_F1=0.6673
- epoch: 3, iter:105, loss=1.7551, pixel_accu=0.9490, p_iou=0.5060, p_recall=0.6975, p_precision=0.6482, p_F1=0.6720
- epoch: 3, iter:110, loss=1.4604, pixel_accu=0.9624, p_iou=0.6856, p_recall=0.9292, p_precision=0.7234, p_F1=0.8135
- epoch: 3, iter:115, loss=1.8522, pixel_accu=0.8933, p_iou=0.5075, p_recall=0.7062, p_precision=0.6433, p_F1=0.6733
- epoch: 3, iter:120, loss=2.1842, pixel_accu=0.8891, p_iou=0.4971, p_recall=0.6346, p_precision=0.6964, p_F1=0.6640
- epoch: 3, iter:125, loss=3.0918, pixel_accu=0.8615, p_iou=0.4963, p_recall=0.5110, p_precision=0.9450, p_F1=0.6633
- epoch: 3, iter:130, loss=1.6373, pixel_accu=0.9469, p_iou=0.6661, p_recall=0.8355, p_precision=0.7666, p_F1=0.7996
- epoch: 3, iter:135, loss=1.8863, pixel_accu=0.9168, p_iou=0.5266, p_recall=0.7261, p_precision=0.6572, p_F1=0.6899
- epoch: 3, iter:140, loss=1.8093, pixel_accu=0.9490, p_iou=0.5915, p_recall=0.7036, p_precision=0.7879, p_F1=0.7433
- epoch: 3, iter:145, loss=1.5037, pixel_accu=0.9533, p_iou=0.5422, p_recall=0.7659, p_precision=0.6498, p_F1=0.7031
- epoch: 3, iter:150, loss=2.6301, pixel_accu=0.9247, p_iou=0.5329, p_recall=0.7575, p_precision=0.6425, p_F1=0.6953
- epoch: 3, iter:155, loss=1.5160, pixel_accu=0.9397, p_iou=0.6221, p_recall=0.7884, p_precision=0.7468, p_F1=0.7670
- epoch: 3, iter:160, loss=1.5841, pixel_accu=0.9296, p_iou=0.4426, p_recall=0.7806, p_precision=0.5054, p_F1=0.6136
- epoch: 3, iter:165, loss=2.7558, pixel_accu=0.8488, p_iou=0.5164, p_recall=0.5891, p_precision=0.8072, p_F1=0.6811
- epoch: 3, iter:170, loss=2.0944, pixel_accu=0.8921, p_iou=0.5958, p_recall=0.7840, p_precision=0.7128, p_F1=0.7467
- epoch: 3, iter:175, loss=1.7360, pixel_accu=0.9271, p_iou=0.5182, p_recall=0.8210, p_precision=0.5842, p_F1=0.6826
- epoch: 3, iter:180, loss=3.0561, pixel_accu=0.8159, p_iou=0.4976, p_recall=0.5768, p_precision=0.7836, p_F1=0.6645
- epoch: 3, iter:185, loss=1.8217, pixel_accu=0.9296, p_iou=0.4222, p_recall=0.8603, p_precision=0.4533, p_F1=0.5938
- epoch: 3, iter:190, loss=1.7612, pixel_accu=0.9180, p_iou=0.3667, p_recall=0.4824, p_precision=0.6045, p_F1=0.5366
- 2021-11-30 12:25 => Train Avg: Loss 2.2202 Loss_CE 0.8922 Loss_var -1.0000 Pixel_Accu 0.8909
- pixel_IoU 0.4723 pixel_Recall 0.6746 pixel_Precision 0.6488 pixel_F1 0.6325
- ===================== EarlyStopping counter: 1 out of 7 =====================
- 2021-11-30 12:25 Epoch: [5/300]
- epoch: 4, iter: 0, loss=2.6813, pixel_accu=0.8445, p_iou=0.5393, p_recall=0.6001, p_precision=0.8418, p_F1=0.7007
- epoch: 4, iter: 5, loss=1.9896, pixel_accu=0.8913, p_iou=0.5363, p_recall=0.7387, p_precision=0.6619, p_F1=0.6982
- epoch: 4, iter: 10, loss=1.8321, pixel_accu=0.9216, p_iou=0.5961, p_recall=0.7733, p_precision=0.7224, p_F1=0.7470
- epoch: 4, iter: 15, loss=1.5766, pixel_accu=0.9222, p_iou=0.5912, p_recall=0.7872, p_precision=0.7036, p_F1=0.7431
- epoch: 4, iter: 20, loss=2.4098, pixel_accu=0.8633, p_iou=0.5478, p_recall=0.6973, p_precision=0.7187, p_F1=0.7078
- epoch: 4, iter: 25, loss=1.7886, pixel_accu=0.8974, p_iou=0.5079, p_recall=0.9620, p_precision=0.5183, p_F1=0.6737
- epoch: 4, iter: 30, loss=4.0645, pixel_accu=0.7329, p_iou=0.2181, p_recall=0.2447, p_precision=0.6674, p_F1=0.3581
- epoch: 4, iter: 35, loss=1.7540, pixel_accu=0.9516, p_iou=0.5975, p_recall=0.7968, p_precision=0.7050, p_F1=0.7481
- epoch: 4, iter: 40, loss=1.8529, pixel_accu=0.9581, p_iou=0.3672, p_recall=0.6714, p_precision=0.4476, p_F1=0.5372
- epoch: 4, iter: 45, loss=1.4059, pixel_accu=0.9512, p_iou=0.6653, p_recall=0.8716, p_precision=0.7375, p_F1=0.7990
- epoch: 4, iter: 50, loss=1.6259, pixel_accu=0.9426, p_iou=0.5366, p_recall=0.9517, p_precision=0.5516, p_F1=0.6985
- epoch: 4, iter: 55, loss=2.0190, pixel_accu=0.9050, p_iou=0.4636, p_recall=0.5270, p_precision=0.7939, p_F1=0.6335
- epoch: 4, iter: 60, loss=3.0545, pixel_accu=0.8104, p_iou=0.2794, p_recall=0.6387, p_precision=0.3319, p_F1=0.4368
- epoch: 4, iter: 65, loss=1.7593, pixel_accu=0.9160, p_iou=0.4976, p_recall=0.7910, p_precision=0.5729, p_F1=0.6645
- epoch: 4, iter: 70, loss=2.7368, pixel_accu=0.9244, p_iou=0.5915, p_recall=0.7709, p_precision=0.7176, p_F1=0.7433
- epoch: 4, iter: 75, loss=3.2722, pixel_accu=0.8012, p_iou=0.3210, p_recall=0.3304, p_precision=0.9187, p_F1=0.4860
- epoch: 4, iter: 80, loss=3.3631, pixel_accu=0.8171, p_iou=0.4706, p_recall=0.5373, p_precision=0.7913, p_F1=0.6400
- epoch: 4, iter: 85, loss=1.9080, pixel_accu=0.9109, p_iou=0.6371, p_recall=0.7919, p_precision=0.7652, p_F1=0.7783
- epoch: 4, iter: 90, loss=1.6168, pixel_accu=0.9350, p_iou=0.6751, p_recall=0.7133, p_precision=0.9265, p_F1=0.8061
- epoch: 4, iter: 95, loss=4.5260, pixel_accu=0.6850, p_iou=0.2125, p_recall=0.2316, p_precision=0.7206, p_F1=0.3505
- epoch: 4, iter:100, loss=2.4774, pixel_accu=0.8980, p_iou=0.4944, p_recall=0.5165, p_precision=0.9202, p_F1=0.6616
- epoch: 4, iter:105, loss=1.9308, pixel_accu=0.9137, p_iou=0.5516, p_recall=0.8357, p_precision=0.6187, p_F1=0.7110
- epoch: 4, iter:110, loss=2.6129, pixel_accu=0.8688, p_iou=0.5593, p_recall=0.5915, p_precision=0.9112, p_F1=0.7173
- epoch: 4, iter:115, loss=3.2646, pixel_accu=0.8952, p_iou=0.5161, p_recall=0.8038, p_precision=0.5905, p_F1=0.6808
- epoch: 4, iter:120, loss=2.2248, pixel_accu=0.8667, p_iou=0.4395, p_recall=0.5018, p_precision=0.7800, p_F1=0.6107
- epoch: 4, iter:125, loss=2.8847, pixel_accu=0.8373, p_iou=0.4045, p_recall=0.4132, p_precision=0.9508, p_F1=0.5760
- epoch: 4, iter:130, loss=3.2310, pixel_accu=0.7554, p_iou=0.3994, p_recall=0.4209, p_precision=0.8868, p_F1=0.5709
- epoch: 4, iter:135, loss=1.5140, pixel_accu=0.9555, p_iou=0.6245, p_recall=0.8916, p_precision=0.6758, p_F1=0.7689
- epoch: 4, iter:140, loss=3.3166, pixel_accu=0.8825, p_iou=0.4339, p_recall=0.7603, p_precision=0.5027, p_F1=0.6052
- epoch: 4, iter:145, loss=1.5757, pixel_accu=0.9539, p_iou=0.4935, p_recall=0.8009, p_precision=0.5625, p_F1=0.6608
- epoch: 4, iter:150, loss=1.6336, pixel_accu=0.9703, p_iou=0.4629, p_recall=0.8402, p_precision=0.5076, p_F1=0.6328
- epoch: 4, iter:155, loss=1.8279, pixel_accu=0.9016, p_iou=0.5122, p_recall=0.5593, p_precision=0.8589, p_F1=0.6774
- epoch: 4, iter:160, loss=4.1562, pixel_accu=0.7781, p_iou=0.4485, p_recall=0.4584, p_precision=0.9544, p_F1=0.6193
- epoch: 4, iter:165, loss=2.6609, pixel_accu=0.9158, p_iou=0.4250, p_recall=0.7593, p_precision=0.4911, p_F1=0.5965
- epoch: 4, iter:170, loss=1.7757, pixel_accu=0.8837, p_iou=0.5403, p_recall=0.6853, p_precision=0.7187, p_F1=0.7016
- epoch: 4, iter:175, loss=1.7726, pixel_accu=0.9113, p_iou=0.5271, p_recall=0.6907, p_precision=0.6899, p_F1=0.6903
- epoch: 4, iter:180, loss=1.6215, pixel_accu=0.9234, p_iou=0.6403, p_recall=0.8594, p_precision=0.7152, p_F1=0.7807
- epoch: 4, iter:185, loss=3.9961, pixel_accu=0.7923, p_iou=0.2980, p_recall=0.3221, p_precision=0.7995, p_F1=0.4592
- epoch: 4, iter:190, loss=2.0103, pixel_accu=0.9025, p_iou=0.5825, p_recall=0.7468, p_precision=0.7259, p_F1=0.7362
- 2021-11-30 12:26 => Train Avg: Loss 2.1932 Loss_CE 0.8955 Loss_var -1.0000 Pixel_Accu 0.8958
- pixel_IoU 0.4925 pixel_Recall 0.6779 pixel_Precision 0.6789 pixel_F1 0.6530
- epoch = 4, cp_flag = 1
- 2021-11-30 12:26 Epoch: [6/300]
- epoch: 5, iter: 0, loss=1.9259, pixel_accu=0.9127, p_iou=0.5151, p_recall=0.7090, p_precision=0.6533, p_F1=0.6800
- epoch: 5, iter: 5, loss=2.3016, pixel_accu=0.8741, p_iou=0.4531, p_recall=0.5942, p_precision=0.6560, p_F1=0.6236
- epoch: 5, iter: 10, loss=1.9014, pixel_accu=0.9164, p_iou=0.5611, p_recall=0.6233, p_precision=0.8490, p_F1=0.7189
- epoch: 5, iter: 15, loss=1.3629, pixel_accu=0.9661, p_iou=0.6100, p_recall=0.8896, p_precision=0.6600, p_F1=0.7577
- epoch: 5, iter: 20, loss=1.6592, pixel_accu=0.9176, p_iou=0.4787, p_recall=0.6426, p_precision=0.6524, p_F1=0.6475
- epoch: 5, iter: 25, loss=1.3222, pixel_accu=0.9508, p_iou=0.5766, p_recall=0.7869, p_precision=0.6832, p_F1=0.7314
- epoch: 5, iter: 30, loss=2.1784, pixel_accu=0.9314, p_iou=0.3922, p_recall=0.7033, p_precision=0.4699, p_F1=0.5634
- epoch: 5, iter: 35, loss=2.4298, pixel_accu=0.8611, p_iou=0.5291, p_recall=0.7641, p_precision=0.6324, p_F1=0.6920
- epoch: 5, iter: 40, loss=2.0843, pixel_accu=0.8645, p_iou=0.3209, p_recall=0.9383, p_precision=0.3278, p_F1=0.4859
- epoch: 5, iter: 45, loss=1.7150, pixel_accu=0.9501, p_iou=0.4320, p_recall=0.7701, p_precision=0.4960, p_F1=0.6034
- epoch: 5, iter: 50, loss=1.5687, pixel_accu=0.9393, p_iou=0.4140, p_recall=0.6425, p_precision=0.5380, p_F1=0.5856
- epoch: 5, iter: 55, loss=4.5257, pixel_accu=0.6837, p_iou=0.2393, p_recall=0.2684, p_precision=0.6887, p_F1=0.3862
- epoch: 5, iter: 60, loss=1.8217, pixel_accu=0.9246, p_iou=0.5649, p_recall=0.9053, p_precision=0.6003, p_F1=0.7219
- epoch: 5, iter: 65, loss=2.7025, pixel_accu=0.8039, p_iou=0.4967, p_recall=0.7643, p_precision=0.5866, p_F1=0.6637
- epoch: 5, iter: 70, loss=1.5939, pixel_accu=0.9350, p_iou=0.5464, p_recall=0.9092, p_precision=0.5780, p_F1=0.7067
- epoch: 5, iter: 75, loss=2.1766, pixel_accu=0.9356, p_iou=0.5015, p_recall=0.6580, p_precision=0.6782, p_F1=0.6680
- epoch: 5, iter: 80, loss=3.4284, pixel_accu=0.8198, p_iou=0.5394, p_recall=0.5565, p_precision=0.9460, p_F1=0.7008
- epoch: 5, iter: 85, loss=1.9574, pixel_accu=0.9359, p_iou=0.4223, p_recall=0.8020, p_precision=0.4714, p_F1=0.5938
- epoch: 5, iter: 90, loss=2.3089, pixel_accu=0.8705, p_iou=0.5520, p_recall=0.6395, p_precision=0.8014, p_F1=0.7113
- epoch: 5, iter: 95, loss=1.7997, pixel_accu=0.8962, p_iou=0.4854, p_recall=0.5855, p_precision=0.7396, p_F1=0.6536
- epoch: 5, iter:100, loss=1.6576, pixel_accu=0.9327, p_iou=0.5870, p_recall=0.7260, p_precision=0.7540, p_F1=0.7397
- epoch: 5, iter:105, loss=1.5174, pixel_accu=0.9128, p_iou=0.5158, p_recall=0.8191, p_precision=0.5821, p_F1=0.6805
- epoch: 5, iter:110, loss=1.4411, pixel_accu=0.9477, p_iou=0.5940, p_recall=0.6863, p_precision=0.8154, p_F1=0.7453
- epoch: 5, iter:115, loss=2.0998, pixel_accu=0.9049, p_iou=0.5978, p_recall=0.6961, p_precision=0.8089, p_F1=0.7483
- epoch: 5, iter:120, loss=1.6906, pixel_accu=0.9161, p_iou=0.6490, p_recall=0.8119, p_precision=0.7639, p_F1=0.7872
- epoch: 5, iter:125, loss=1.3352, pixel_accu=0.9555, p_iou=0.6051, p_recall=0.7404, p_precision=0.7680, p_F1=0.7540
- epoch: 5, iter:130, loss=1.4527, pixel_accu=0.9539, p_iou=0.6817, p_recall=0.7949, p_precision=0.8271, p_F1=0.8107
- epoch: 5, iter:135, loss=2.6578, pixel_accu=0.8623, p_iou=0.4499, p_recall=0.5193, p_precision=0.7711, p_F1=0.6206
- epoch: 5, iter:140, loss=3.7021, pixel_accu=0.7668, p_iou=0.5316, p_recall=0.5394, p_precision=0.9735, p_F1=0.6942
- epoch: 5, iter:145, loss=2.0489, pixel_accu=0.9280, p_iou=0.3028, p_recall=0.8831, p_precision=0.3154, p_F1=0.4648
- epoch: 5, iter:150, loss=1.4078, pixel_accu=0.9664, p_iou=0.5450, p_recall=0.7501, p_precision=0.6658, p_F1=0.7055
- epoch: 5, iter:155, loss=1.7646, pixel_accu=0.9118, p_iou=0.5037, p_recall=0.6458, p_precision=0.6961, p_F1=0.6700
- epoch: 5, iter:160, loss=1.8327, pixel_accu=0.9172, p_iou=0.4611, p_recall=0.6692, p_precision=0.5972, p_F1=0.6311
- epoch: 5, iter:165, loss=2.7922, pixel_accu=0.9113, p_iou=0.4335, p_recall=0.6047, p_precision=0.6050, p_F1=0.6048
- epoch: 5, iter:170, loss=2.7459, pixel_accu=0.8599, p_iou=0.5757, p_recall=0.6142, p_precision=0.9017, p_F1=0.7307
- epoch: 5, iter:175, loss=2.5600, pixel_accu=0.7596, p_iou=0.3109, p_recall=0.7891, p_precision=0.3391, p_F1=0.4743
- epoch: 5, iter:180, loss=1.9553, pixel_accu=0.9061, p_iou=0.4236, p_recall=0.8353, p_precision=0.4622, p_F1=0.5951
- epoch: 5, iter:185, loss=2.6127, pixel_accu=0.9114, p_iou=0.3560, p_recall=0.6234, p_precision=0.4535, p_F1=0.5251
- epoch: 5, iter:190, loss=2.5295, pixel_accu=0.9267, p_iou=0.5531, p_recall=0.7084, p_precision=0.7161, p_F1=0.7122
- 2021-11-30 12:28 => Train Avg: Loss 2.1223 Loss_CE 0.8610 Loss_var -1.0000 Pixel_Accu 0.8987
- pixel_IoU 0.5101 pixel_Recall 0.7037 pixel_Precision 0.6845 pixel_F1 0.6699
- ======= train() ======== each epoch work time is [72.0708 s].
- ======= validate() ======== each epoch work time is [0.0001 s].
- 2021-11-30 12:28 Epoch: [7/300]
- epoch: 6, iter: 0, loss=2.1355, pixel_accu=0.8736, p_iou=0.3763, p_recall=0.6758, p_precision=0.4591, p_F1=0.5468
- epoch: 6, iter: 5, loss=2.3749, pixel_accu=0.8699, p_iou=0.5490, p_recall=0.6517, p_precision=0.7769, p_F1=0.7088
- epoch: 6, iter: 10, loss=2.1117, pixel_accu=0.9008, p_iou=0.4441, p_recall=0.5209, p_precision=0.7508, p_F1=0.6151
- epoch: 6, iter: 15, loss=1.5833, pixel_accu=0.9590, p_iou=0.4472, p_recall=0.6910, p_precision=0.5590, p_F1=0.6180
- epoch: 6, iter: 20, loss=1.4975, pixel_accu=0.9629, p_iou=0.6589, p_recall=0.8503, p_precision=0.7454, p_F1=0.7944
- epoch: 6, iter: 25, loss=2.8207, pixel_accu=0.7780, p_iou=0.4355, p_recall=0.7838, p_precision=0.4950, p_F1=0.6068
- epoch: 6, iter: 30, loss=1.0282, pixel_accu=0.9773, p_iou=0.6456, p_recall=0.7724, p_precision=0.7972, p_F1=0.7846
- epoch: 6, iter: 35, loss=1.4254, pixel_accu=0.9459, p_iou=0.6481, p_recall=0.7520, p_precision=0.8243, p_F1=0.7865
- epoch: 6, iter: 40, loss=1.9304, pixel_accu=0.9003, p_iou=0.5429, p_recall=0.6194, p_precision=0.8147, p_F1=0.7038
- epoch: 6, iter: 45, loss=1.8662, pixel_accu=0.9144, p_iou=0.5546, p_recall=0.6801, p_precision=0.7504, p_F1=0.7135
- epoch: 6, iter: 50, loss=2.9011, pixel_accu=0.8426, p_iou=0.5257, p_recall=0.5661, p_precision=0.8806, p_F1=0.6891
- epoch: 6, iter: 55, loss=1.2194, pixel_accu=0.9657, p_iou=0.6292, p_recall=0.8231, p_precision=0.7277, p_F1=0.7724
- epoch: 6, iter: 60, loss=3.1141, pixel_accu=0.8508, p_iou=0.5507, p_recall=0.5876, p_precision=0.8975, p_F1=0.7103
- epoch: 6, iter: 65, loss=4.3202, pixel_accu=0.7292, p_iou=0.4334, p_recall=0.4757, p_precision=0.8299, p_F1=0.6047
- epoch: 6, iter: 70, loss=1.9899, pixel_accu=0.9256, p_iou=0.5647, p_recall=0.8953, p_precision=0.6047, p_F1=0.7218
- epoch: 6, iter: 75, loss=1.8326, pixel_accu=0.9132, p_iou=0.5266, p_recall=0.6464, p_precision=0.7395, p_F1=0.6899
- epoch: 6, iter: 80, loss=3.2003, pixel_accu=0.8146, p_iou=0.4991, p_recall=0.5141, p_precision=0.9447, p_F1=0.6658
- epoch: 6, iter: 85, loss=1.5249, pixel_accu=0.9386, p_iou=0.6124, p_recall=0.8653, p_precision=0.6770, p_F1=0.7596
- epoch: 6, iter: 90, loss=1.6212, pixel_accu=0.9277, p_iou=0.6078, p_recall=0.7801, p_precision=0.7334, p_F1=0.7560
- epoch: 6, iter: 95, loss=3.3389, pixel_accu=0.8069, p_iou=0.4720, p_recall=0.4885, p_precision=0.9332, p_F1=0.6413
- epoch: 6, iter:100, loss=1.8803, pixel_accu=0.9425, p_iou=0.5286, p_recall=0.7646, p_precision=0.6313, p_F1=0.6916
- epoch: 6, iter:105, loss=1.6331, pixel_accu=0.9056, p_iou=0.5071, p_recall=0.7648, p_precision=0.6008, p_F1=0.6729
- epoch: 6, iter:110, loss=4.3246, pixel_accu=0.7699, p_iou=0.4700, p_recall=0.4722, p_precision=0.9901, p_F1=0.6395
- epoch: 6, iter:115, loss=1.9627, pixel_accu=0.9108, p_iou=0.5250, p_recall=0.6518, p_precision=0.7297, p_F1=0.6885
- epoch: 6, iter:120, loss=2.4720, pixel_accu=0.8844, p_iou=0.4802, p_recall=0.5319, p_precision=0.8317, p_F1=0.6489
- epoch: 6, iter:125, loss=2.0400, pixel_accu=0.8936, p_iou=0.4506, p_recall=0.4957, p_precision=0.8320, p_F1=0.6212
- epoch: 6, iter:130, loss=1.8316, pixel_accu=0.9092, p_iou=0.4463, p_recall=0.7526, p_precision=0.5231, p_F1=0.6172
- epoch: 6, iter:135, loss=2.3732, pixel_accu=0.8660, p_iou=0.6637, p_recall=0.7479, p_precision=0.8550, p_F1=0.7978
- epoch: 6, iter:140, loss=1.8797, pixel_accu=0.9101, p_iou=0.5346, p_recall=0.7104, p_precision=0.6835, p_F1=0.6967
- epoch: 6, iter:145, loss=2.1959, pixel_accu=0.8864, p_iou=0.5543, p_recall=0.9183, p_precision=0.5830, p_F1=0.7132
- epoch: 6, iter:150, loss=1.4657, pixel_accu=0.9549, p_iou=0.6218, p_recall=0.8740, p_precision=0.6830, p_F1=0.7668
- epoch: 6, iter:155, loss=1.6756, pixel_accu=0.9518, p_iou=0.5901, p_recall=0.7890, p_precision=0.7007, p_F1=0.7422
- epoch: 6, iter:160, loss=1.2841, pixel_accu=0.9637, p_iou=0.6383, p_recall=0.7915, p_precision=0.7672, p_F1=0.7792
- epoch: 6, iter:165, loss=2.3561, pixel_accu=0.8835, p_iou=0.5962, p_recall=0.6557, p_precision=0.8678, p_F1=0.7470
- epoch: 6, iter:170, loss=3.4478, pixel_accu=0.8110, p_iou=0.5612, p_recall=0.5779, p_precision=0.9509, p_F1=0.7189
- epoch: 6, iter:175, loss=2.3887, pixel_accu=0.8721, p_iou=0.5996, p_recall=0.7518, p_precision=0.7476, p_F1=0.7497
- epoch: 6, iter:180, loss=1.6265, pixel_accu=0.9418, p_iou=0.4217, p_recall=0.7276, p_precision=0.5007, p_F1=0.5932
- epoch: 6, iter:185, loss=1.4879, pixel_accu=0.9478, p_iou=0.4784, p_recall=0.9022, p_precision=0.5046, p_F1=0.6472
- epoch: 6, iter:190, loss=2.4208, pixel_accu=0.9149, p_iou=0.6132, p_recall=0.7528, p_precision=0.7678, p_F1=0.7602
- 2021-11-30 12:29 => Train Avg: Loss 2.0571 Loss_CE 0.8381 Loss_var -1.0000 Pixel_Accu 0.9053
- pixel_IoU 0.5259 pixel_Recall 0.7037 pixel_Precision 0.7008 pixel_F1 0.6823
- epoch = 6, cp_flag = 1
- 2021-11-30 12:29 Epoch: [8/300]
- epoch: 7, iter: 0, loss=1.7818, pixel_accu=0.9514, p_iou=0.6379, p_recall=0.8144, p_precision=0.7464, p_F1=0.7789
- epoch: 7, iter: 5, loss=1.7379, pixel_accu=0.9505, p_iou=0.4963, p_recall=0.7142, p_precision=0.6193, p_F1=0.6633
- epoch: 7, iter: 10, loss=1.5859, pixel_accu=0.9421, p_iou=0.5582, p_recall=0.6345, p_precision=0.8228, p_F1=0.7165
- epoch: 7, iter: 15, loss=1.7724, pixel_accu=0.9354, p_iou=0.5813, p_recall=0.6492, p_precision=0.8475, p_F1=0.7352
- epoch: 7, iter: 20, loss=2.0895, pixel_accu=0.8905, p_iou=0.6098, p_recall=0.8032, p_precision=0.7170, p_F1=0.7576
- epoch: 7, iter: 25, loss=2.4426, pixel_accu=0.8708, p_iou=0.5607, p_recall=0.6498, p_precision=0.8035, p_F1=0.7185
- epoch: 7, iter: 30, loss=1.4867, pixel_accu=0.9740, p_iou=0.5460, p_recall=0.6880, p_precision=0.7256, p_F1=0.7063
- epoch: 7, iter: 35, loss=1.9946, pixel_accu=0.8878, p_iou=0.5619, p_recall=0.7970, p_precision=0.6558, p_F1=0.7195
- epoch: 7, iter: 40, loss=1.9447, pixel_accu=0.8847, p_iou=0.3453, p_recall=0.7578, p_precision=0.3882, p_F1=0.5134
- epoch: 7, iter: 45, loss=1.8741, pixel_accu=0.9188, p_iou=0.4591, p_recall=0.5920, p_precision=0.6715, p_F1=0.6293
- epoch: 7, iter: 50, loss=1.5501, pixel_accu=0.9330, p_iou=0.5636, p_recall=0.6975, p_precision=0.7460, p_F1=0.7209
- epoch: 7, iter: 55, loss=2.4891, pixel_accu=0.8420, p_iou=0.4629, p_recall=0.5947, p_precision=0.6762, p_F1=0.6328
- epoch: 7, iter: 60, loss=3.3847, pixel_accu=0.8200, p_iou=0.5794, p_recall=0.6090, p_precision=0.9227, p_F1=0.7337
- epoch: 7, iter: 65, loss=2.8794, pixel_accu=0.8434, p_iou=0.5807, p_recall=0.6082, p_precision=0.9276, p_F1=0.7347
- epoch: 7, iter: 70, loss=3.9410, pixel_accu=0.8749, p_iou=0.4886, p_recall=0.7058, p_precision=0.6136, p_F1=0.6565
- epoch: 7, iter: 75, loss=1.4976, pixel_accu=0.9541, p_iou=0.5928, p_recall=0.7927, p_precision=0.7016, p_F1=0.7444
- epoch: 7, iter: 80, loss=1.9702, pixel_accu=0.9487, p_iou=0.5749, p_recall=0.8221, p_precision=0.6567, p_F1=0.7301
- epoch: 7, iter: 85, loss=1.7194, pixel_accu=0.9448, p_iou=0.3445, p_recall=0.7634, p_precision=0.3857, p_F1=0.5125
- epoch: 7, iter: 90, loss=1.6864, pixel_accu=0.9134, p_iou=0.5960, p_recall=0.6572, p_precision=0.8648, p_F1=0.7468
- epoch: 7, iter: 95, loss=2.1572, pixel_accu=0.9449, p_iou=0.4750, p_recall=0.7072, p_precision=0.5912, p_F1=0.6441
- epoch: 7, iter:100, loss=1.3882, pixel_accu=0.9563, p_iou=0.5618, p_recall=0.8430, p_precision=0.6274, p_F1=0.7194
- epoch: 7, iter:105, loss=1.5589, pixel_accu=0.9295, p_iou=0.5931, p_recall=0.7438, p_precision=0.7454, p_F1=0.7446
- epoch: 7, iter:110, loss=1.4724, pixel_accu=0.9586, p_iou=0.6513, p_recall=0.9116, p_precision=0.6952, p_F1=0.7888
- epoch: 7, iter:115, loss=2.3851, pixel_accu=0.9003, p_iou=0.6851, p_recall=0.9053, p_precision=0.7380, p_F1=0.8131
- epoch: 7, iter:120, loss=2.0899, pixel_accu=0.8643, p_iou=0.5166, p_recall=0.7921, p_precision=0.5977, p_F1=0.6813
- epoch: 7, iter:125, loss=2.0604, pixel_accu=0.8895, p_iou=0.4564, p_recall=0.5632, p_precision=0.7064, p_F1=0.6267
- epoch: 7, iter:130, loss=1.3770, pixel_accu=0.9521, p_iou=0.6391, p_recall=0.7517, p_precision=0.8101, p_F1=0.7798
- epoch: 7, iter:135, loss=1.3160, pixel_accu=0.9624, p_iou=0.5851, p_recall=0.7437, p_precision=0.7329, p_F1=0.7382
- epoch: 7, iter:140, loss=2.0067, pixel_accu=0.9033, p_iou=0.5310, p_recall=0.7952, p_precision=0.6151, p_F1=0.6936
- epoch: 7, iter:145, loss=1.8567, pixel_accu=0.9224, p_iou=0.6423, p_recall=0.7478, p_precision=0.8199, p_F1=0.7822
- epoch: 7, iter:150, loss=1.6135, pixel_accu=0.9098, p_iou=0.6784, p_recall=0.8023, p_precision=0.8146, p_F1=0.8084
- epoch: 7, iter:155, loss=1.4368, pixel_accu=0.9635, p_iou=0.5173, p_recall=0.8565, p_precision=0.5664, p_F1=0.6818
- epoch: 7, iter:160, loss=1.7590, pixel_accu=0.8961, p_iou=0.4987, p_recall=0.5649, p_precision=0.8098, p_F1=0.6655
- epoch: 7, iter:165, loss=1.6474, pixel_accu=0.9511, p_iou=0.5796, p_recall=0.6708, p_precision=0.8101, p_F1=0.7339
- epoch: 7, iter:170, loss=3.1125, pixel_accu=0.8686, p_iou=0.4733, p_recall=0.4763, p_precision=0.9870, p_F1=0.6425
- epoch: 7, iter:175, loss=2.4785, pixel_accu=0.9195, p_iou=0.5488, p_recall=0.8861, p_precision=0.5905, p_F1=0.7087
- epoch: 7, iter:180, loss=1.4685, pixel_accu=0.9386, p_iou=0.5767, p_recall=0.8631, p_precision=0.6348, p_F1=0.7316
- epoch: 7, iter:185, loss=1.8730, pixel_accu=0.8962, p_iou=0.5864, p_recall=0.8934, p_precision=0.6304, p_F1=0.7392
- epoch: 7, iter:190, loss=1.2929, pixel_accu=0.9581, p_iou=0.7472, p_recall=0.8160, p_precision=0.8986, p_F1=0.8553
- 2021-11-30 12:30 => Train Avg: Loss 2.0606 Loss_CE 0.8426 Loss_var -1.0000 Pixel_Accu 0.9075
- pixel_IoU 0.5355 pixel_Recall 0.7149 pixel_Precision 0.7101 pixel_F1 0.6918
- 2021-11-30 12:30 Epoch: [9/300]
- epoch: 8, iter: 0, loss=1.5605, pixel_accu=0.9580, p_iou=0.6656, p_recall=0.7811, p_precision=0.8181, p_F1=0.7992
- epoch: 8, iter: 5, loss=1.6397, pixel_accu=0.9219, p_iou=0.6634, p_recall=0.7566, p_precision=0.8433, p_F1=0.7976
- epoch: 8, iter: 10, loss=4.1614, pixel_accu=0.7887, p_iou=0.4786, p_recall=0.4851, p_precision=0.9731, p_F1=0.6474
- epoch: 8, iter: 15, loss=1.7410, pixel_accu=0.9426, p_iou=0.6014, p_recall=0.8384, p_precision=0.6803, p_F1=0.7511
- epoch: 8, iter: 20, loss=2.0899, pixel_accu=0.9054, p_iou=0.5390, p_recall=0.6278, p_precision=0.7921, p_F1=0.7005
- epoch: 8, iter: 25, loss=2.7133, pixel_accu=0.9194, p_iou=0.5251, p_recall=0.8340, p_precision=0.5864, p_F1=0.6886
- epoch: 8, iter: 30, loss=1.1434, pixel_accu=0.9783, p_iou=0.7193, p_recall=0.8835, p_precision=0.7946, p_F1=0.8367
- epoch: 8, iter: 35, loss=2.2622, pixel_accu=0.8852, p_iou=0.5355, p_recall=0.7936, p_precision=0.6222, p_F1=0.6975
- epoch: 8, iter: 40, loss=1.7663, pixel_accu=0.9516, p_iou=0.4431, p_recall=0.6902, p_precision=0.5531, p_F1=0.6141
- epoch: 8, iter: 45, loss=3.3273, pixel_accu=0.9023, p_iou=0.5284, p_recall=0.7452, p_precision=0.6449, p_F1=0.6914
- epoch: 8, iter: 50, loss=1.5855, pixel_accu=0.9378, p_iou=0.5175, p_recall=0.6928, p_precision=0.6716, p_F1=0.6821
- epoch: 8, iter: 55, loss=2.3292, pixel_accu=0.8832, p_iou=0.5894, p_recall=0.6952, p_precision=0.7948, p_F1=0.7416
- epoch: 8, iter: 60, loss=3.0459, pixel_accu=0.8102, p_iou=0.5316, p_recall=0.6980, p_precision=0.6903, p_F1=0.6941
- epoch: 8, iter: 65, loss=2.0447, pixel_accu=0.8971, p_iou=0.6478, p_recall=0.7650, p_precision=0.8087, p_F1=0.7862
- epoch: 8, iter: 70, loss=1.6250, pixel_accu=0.9528, p_iou=0.5437, p_recall=0.8496, p_precision=0.6016, p_F1=0.7044
- epoch: 8, iter: 75, loss=1.1491, pixel_accu=0.9737, p_iou=0.6049, p_recall=0.6911, p_precision=0.8291, p_F1=0.7539
- epoch: 8, iter: 80, loss=2.7871, pixel_accu=0.8101, p_iou=0.4683, p_recall=0.7060, p_precision=0.5817, p_F1=0.6378
- epoch: 8, iter: 85, loss=1.9675, pixel_accu=0.8743, p_iou=0.4025, p_recall=0.8469, p_precision=0.4340, p_F1=0.5739
- epoch: 8, iter: 90, loss=1.8286, pixel_accu=0.9154, p_iou=0.6124, p_recall=0.7825, p_precision=0.7381, p_F1=0.7596
- epoch: 8, iter: 95, loss=1.7250, pixel_accu=0.9159, p_iou=0.6242, p_recall=0.7457, p_precision=0.7931, p_F1=0.7686
- epoch: 8, iter:100, loss=1.7371, pixel_accu=0.9237, p_iou=0.6632, p_recall=0.7050, p_precision=0.9180, p_F1=0.7975
- epoch: 8, iter:105, loss=2.0755, pixel_accu=0.9087, p_iou=0.4600, p_recall=0.8029, p_precision=0.5186, p_F1=0.6301
- epoch: 8, iter:110, loss=2.9602, pixel_accu=0.9105, p_iou=0.5868, p_recall=0.7696, p_precision=0.7119, p_F1=0.7396
- epoch: 8, iter:115, loss=2.4283, pixel_accu=0.8774, p_iou=0.5902, p_recall=0.6306, p_precision=0.9020, p_F1=0.7423
- epoch: 8, iter:120, loss=1.7752, pixel_accu=0.9087, p_iou=0.5490, p_recall=0.6420, p_precision=0.7912, p_F1=0.7088
- epoch: 8, iter:125, loss=2.7311, pixel_accu=0.7858, p_iou=0.4459, p_recall=0.4838, p_precision=0.8507, p_F1=0.6168
- epoch: 8, iter:130, loss=1.4068, pixel_accu=0.9538, p_iou=0.7104, p_recall=0.7549, p_precision=0.9234, p_F1=0.8307
- epoch: 8, iter:135, loss=4.3328, pixel_accu=0.7431, p_iou=0.4486, p_recall=0.5076, p_precision=0.7942, p_F1=0.6194
- epoch: 8, iter:140, loss=1.5147, pixel_accu=0.9400, p_iou=0.5228, p_recall=0.7822, p_precision=0.6119, p_F1=0.6867
- epoch: 8, iter:145, loss=1.7581, pixel_accu=0.9493, p_iou=0.6729, p_recall=0.9101, p_precision=0.7208, p_F1=0.8045
- epoch: 8, iter:150, loss=2.0336, pixel_accu=0.9045, p_iou=0.3457, p_recall=0.8214, p_precision=0.3738, p_F1=0.5138
- epoch: 8, iter:155, loss=1.2571, pixel_accu=0.9479, p_iou=0.5869, p_recall=0.6682, p_precision=0.8283, p_F1=0.7397
- epoch: 8, iter:160, loss=1.5445, pixel_accu=0.9570, p_iou=0.6491, p_recall=0.7599, p_precision=0.8166, p_F1=0.7872
- epoch: 8, iter:165, loss=2.9736, pixel_accu=0.8251, p_iou=0.4685, p_recall=0.5152, p_precision=0.8377, p_F1=0.6380
- epoch: 8, iter:170, loss=1.8013, pixel_accu=0.8997, p_iou=0.4985, p_recall=0.7301, p_precision=0.6111, p_F1=0.6653
- epoch: 8, iter:175, loss=1.5249, pixel_accu=0.9307, p_iou=0.5637, p_recall=0.6734, p_precision=0.7758, p_F1=0.7210
- epoch: 8, iter:180, loss=2.7367, pixel_accu=0.9126, p_iou=0.5983, p_recall=0.8654, p_precision=0.6597, p_F1=0.7487
- epoch: 8, iter:185, loss=2.2129, pixel_accu=0.9390, p_iou=0.4620, p_recall=0.7036, p_precision=0.5736, p_F1=0.6320
- epoch: 8, iter:190, loss=2.5949, pixel_accu=0.8628, p_iou=0.4797, p_recall=0.5242, p_precision=0.8495, p_F1=0.6484
- 2021-11-30 12:31 => Train Avg: Loss 2.0410 Loss_CE 0.8383 Loss_var -1.0000 Pixel_Accu 0.9093
- pixel_IoU 0.5368 pixel_Recall 0.7122 pixel_Precision 0.7101 pixel_F1 0.6924
- epoch = 8, cp_flag = 1
- 2021-11-30 12:31 Epoch: [10/300]
- epoch: 9, iter: 0, loss=1.0632, pixel_accu=0.9765, p_iou=0.6773, p_recall=0.7421, p_precision=0.8857, p_F1=0.8076
- epoch: 9, iter: 5, loss=2.9744, pixel_accu=0.8378, p_iou=0.5107, p_recall=0.5425, p_precision=0.8972, p_F1=0.6762
- epoch: 9, iter: 10, loss=1.6583, pixel_accu=0.9281, p_iou=0.4783, p_recall=0.7327, p_precision=0.5794, p_F1=0.6471
- epoch: 9, iter: 15, loss=1.1719, pixel_accu=0.9643, p_iou=0.7159, p_recall=0.8089, p_precision=0.8616, p_F1=0.8344
- epoch: 9, iter: 20, loss=2.4655, pixel_accu=0.9199, p_iou=0.4694, p_recall=0.6912, p_precision=0.5940, p_F1=0.6389
- epoch: 9, iter: 25, loss=3.0671, pixel_accu=0.8067, p_iou=0.4678, p_recall=0.4805, p_precision=0.9464, p_F1=0.6374
- epoch: 9, iter: 30, loss=2.5767, pixel_accu=0.8615, p_iou=0.6316, p_recall=0.8516, p_precision=0.7097, p_F1=0.7742
- epoch: 9, iter: 35, loss=1.9306, pixel_accu=0.8913, p_iou=0.3624, p_recall=0.8619, p_precision=0.3847, p_F1=0.5320
- epoch: 9, iter: 40, loss=2.3702, pixel_accu=0.8406, p_iou=0.3495, p_recall=0.6392, p_precision=0.4354, p_F1=0.5180
- epoch: 9, iter: 45, loss=1.7150, pixel_accu=0.9444, p_iou=0.6266, p_recall=0.8353, p_precision=0.7149, p_F1=0.7704
- epoch: 9, iter: 50, loss=2.7433, pixel_accu=0.8584, p_iou=0.4460, p_recall=0.4699, p_precision=0.8977, p_F1=0.6169
- epoch: 9, iter: 55, loss=2.6536, pixel_accu=0.8724, p_iou=0.5211, p_recall=0.5586, p_precision=0.8861, p_F1=0.6852
- epoch: 9, iter: 60, loss=1.7290, pixel_accu=0.9431, p_iou=0.5909, p_recall=0.9121, p_precision=0.6266, p_F1=0.7428
- epoch: 9, iter: 65, loss=1.3227, pixel_accu=0.9493, p_iou=0.7186, p_recall=0.8751, p_precision=0.8007, p_F1=0.8362
- epoch: 9, iter: 70, loss=1.7016, pixel_accu=0.9329, p_iou=0.6416, p_recall=0.7462, p_precision=0.8208, p_F1=0.7817
- epoch: 9, iter: 75, loss=2.7947, pixel_accu=0.8279, p_iou=0.4609, p_recall=0.4688, p_precision=0.9648, p_F1=0.6310
- epoch: 9, iter: 80, loss=2.0178, pixel_accu=0.9193, p_iou=0.2182, p_recall=0.8828, p_precision=0.2248, p_F1=0.3583
- epoch: 9, iter: 85, loss=1.9130, pixel_accu=0.8884, p_iou=0.5076, p_recall=0.8286, p_precision=0.5672, p_F1=0.6734
- epoch: 9, iter: 90, loss=1.7350, pixel_accu=0.9277, p_iou=0.5431, p_recall=0.7584, p_precision=0.6567, p_F1=0.7039
- epoch: 9, iter: 95, loss=1.4909, pixel_accu=0.9674, p_iou=0.5622, p_recall=0.8323, p_precision=0.6340, p_F1=0.7197
- epoch: 9, iter:100, loss=1.8783, pixel_accu=0.8702, p_iou=0.4255, p_recall=0.6405, p_precision=0.5590, p_F1=0.5970
- epoch: 9, iter:105, loss=1.6648, pixel_accu=0.9498, p_iou=0.5869, p_recall=0.9421, p_precision=0.6089, p_F1=0.7397
- epoch: 9, iter:110, loss=1.4581, pixel_accu=0.9469, p_iou=0.6992, p_recall=0.7711, p_precision=0.8824, p_F1=0.8230
- epoch: 9, iter:115, loss=1.4165, pixel_accu=0.9365, p_iou=0.5689, p_recall=0.8709, p_precision=0.6213, p_F1=0.7252
- epoch: 9, iter:120, loss=1.8059, pixel_accu=0.9541, p_iou=0.5282, p_recall=0.7737, p_precision=0.6247, p_F1=0.6912
- epoch: 9, iter:125, loss=1.5597, pixel_accu=0.9450, p_iou=0.4941, p_recall=0.6123, p_precision=0.7190, p_F1=0.6614
- epoch: 9, iter:130, loss=2.2542, pixel_accu=0.8821, p_iou=0.6166, p_recall=0.6635, p_precision=0.8972, p_F1=0.7629
- epoch: 9, iter:135, loss=2.1939, pixel_accu=0.8984, p_iou=0.5940, p_recall=0.6137, p_precision=0.9488, p_F1=0.7453
- epoch: 9, iter:140, loss=2.2877, pixel_accu=0.8903, p_iou=0.5463, p_recall=0.7170, p_precision=0.6965, p_F1=0.7066
- epoch: 9, iter:145, loss=1.2855, pixel_accu=0.9609, p_iou=0.6331, p_recall=0.8249, p_precision=0.7315, p_F1=0.7754
- epoch: 9, iter:150, loss=1.7688, pixel_accu=0.9485, p_iou=0.6136, p_recall=0.7606, p_precision=0.7604, p_F1=0.7605
- epoch: 9, iter:155, loss=1.7729, pixel_accu=0.9136, p_iou=0.6277, p_recall=0.6822, p_precision=0.8871, p_F1=0.7713
- epoch: 9, iter:160, loss=1.9443, pixel_accu=0.9021, p_iou=0.5315, p_recall=0.6038, p_precision=0.8160, p_F1=0.6941
- epoch: 9, iter:165, loss=2.1828, pixel_accu=0.9314, p_iou=0.4829, p_recall=0.7230, p_precision=0.5926, p_F1=0.6513
- epoch: 9, iter:170, loss=1.4714, pixel_accu=0.9418, p_iou=0.6710, p_recall=0.7523, p_precision=0.8612, p_F1=0.8031
- epoch: 9, iter:175, loss=2.0547, pixel_accu=0.8956, p_iou=0.6641, p_recall=0.7474, p_precision=0.8562, p_F1=0.7981
- epoch: 9, iter:180, loss=1.1763, pixel_accu=0.9722, p_iou=0.6206, p_recall=0.8655, p_precision=0.6868, p_F1=0.7659
- epoch: 9, iter:185, loss=1.4031, pixel_accu=0.9487, p_iou=0.6402, p_recall=0.7763, p_precision=0.7851, p_F1=0.7807
- epoch: 9, iter:190, loss=2.0099, pixel_accu=0.9094, p_iou=0.3958, p_recall=0.7190, p_precision=0.4682, p_F1=0.5671
- 2021-11-30 12:33 => Train Avg: Loss 2.0546 Loss_CE 0.8440 Loss_var -1.0000 Pixel_Accu 0.9083
- pixel_IoU 0.5358 pixel_Recall 0.7161 pixel_Precision 0.7104 pixel_F1 0.6903
- ===================== EarlyStopping counter: 1 out of 7 =====================
- 2021-11-30 12:33 Epoch: [11/300]
- epoch: 10, iter: 0, loss=1.9193, pixel_accu=0.9012, p_iou=0.5314, p_recall=0.7626, p_precision=0.6366, p_F1=0.6940
- epoch: 10, iter: 5, loss=2.4874, pixel_accu=0.9252, p_iou=0.3564, p_recall=0.5749, p_precision=0.4839, p_F1=0.5255
- epoch: 10, iter: 10, loss=1.5955, pixel_accu=0.9266, p_iou=0.5573, p_recall=0.8484, p_precision=0.6189, p_F1=0.7157
- epoch: 10, iter: 15, loss=2.4739, pixel_accu=0.8666, p_iou=0.6079, p_recall=0.7463, p_precision=0.7663, p_F1=0.7562
- epoch: 10, iter: 20, loss=1.6364, pixel_accu=0.9463, p_iou=0.4073, p_recall=0.5288, p_precision=0.6393, p_F1=0.5788
- epoch: 10, iter: 25, loss=1.7952, pixel_accu=0.9563, p_iou=0.4212, p_recall=0.4655, p_precision=0.8157, p_F1=0.5928
- epoch: 10, iter: 30, loss=1.8749, pixel_accu=0.8976, p_iou=0.6586, p_recall=0.8734, p_precision=0.7281, p_F1=0.7942
- epoch: 10, iter: 35, loss=2.0702, pixel_accu=0.9391, p_iou=0.3090, p_recall=0.9234, p_precision=0.3171, p_F1=0.4721
- epoch: 10, iter: 40, loss=1.3068, pixel_accu=0.9503, p_iou=0.6734, p_recall=0.7770, p_precision=0.8347, p_F1=0.8048
- epoch: 10, iter: 45, loss=1.9421, pixel_accu=0.8713, p_iou=0.3722, p_recall=0.9128, p_precision=0.3859, p_F1=0.5424
- epoch: 10, iter: 50, loss=3.1155, pixel_accu=0.8978, p_iou=0.3711, p_recall=0.5538, p_precision=0.5294, p_F1=0.5413
- epoch: 10, iter: 55, loss=2.7019, pixel_accu=0.8642, p_iou=0.4945, p_recall=0.5391, p_precision=0.8566, p_F1=0.6618
- epoch: 10, iter: 60, loss=1.4149, pixel_accu=0.9523, p_iou=0.5547, p_recall=0.8718, p_precision=0.6039, p_F1=0.7136
- epoch: 10, iter: 65, loss=1.5172, pixel_accu=0.9422, p_iou=0.6914, p_recall=0.9344, p_precision=0.7266, p_F1=0.8175
- epoch: 10, iter: 70, loss=2.1891, pixel_accu=0.9309, p_iou=0.4511, p_recall=0.7392, p_precision=0.5365, p_F1=0.6217
- epoch: 10, iter: 75, loss=2.0771, pixel_accu=0.9364, p_iou=0.5462, p_recall=0.6342, p_precision=0.7975, p_F1=0.7065
- epoch: 10, iter: 80, loss=1.7572, pixel_accu=0.9111, p_iou=0.5833, p_recall=0.7893, p_precision=0.6909, p_F1=0.7368
- epoch: 10, iter: 85, loss=1.5740, pixel_accu=0.9222, p_iou=0.5595, p_recall=0.6713, p_precision=0.7706, p_F1=0.7175
- epoch: 10, iter: 90, loss=1.8032, pixel_accu=0.9013, p_iou=0.5258, p_recall=0.5749, p_precision=0.8603, p_F1=0.6892
- epoch: 10, iter: 95, loss=1.6670, pixel_accu=0.9264, p_iou=0.5783, p_recall=0.6244, p_precision=0.8866, p_F1=0.7328
- epoch: 10, iter:100, loss=2.2710, pixel_accu=0.8682, p_iou=0.5141, p_recall=0.7057, p_precision=0.6544, p_F1=0.6791
- epoch: 10, iter:105, loss=1.4549, pixel_accu=0.9597, p_iou=0.5528, p_recall=0.9284, p_precision=0.5774, p_F1=0.7120
- epoch: 10, iter:110, loss=1.7322, pixel_accu=0.9548, p_iou=0.3490, p_recall=0.7038, p_precision=0.4091, p_F1=0.5174
- epoch: 10, iter:115, loss=1.9416, pixel_accu=0.9144, p_iou=0.5395, p_recall=0.7447, p_precision=0.6620, p_F1=0.7009
- epoch: 10, iter:120, loss=1.2562, pixel_accu=0.9558, p_iou=0.6602, p_recall=0.7904, p_precision=0.8003, p_F1=0.7953
- epoch: 10, iter:125, loss=4.5921, pixel_accu=0.7595, p_iou=0.4833, p_recall=0.4879, p_precision=0.9809, p_F1=0.6517
- epoch: 10, iter:130, loss=1.4794, pixel_accu=0.9426, p_iou=0.5997, p_recall=0.8594, p_precision=0.6649, p_F1=0.7498
- epoch: 10, iter:135, loss=1.5344, pixel_accu=0.9487, p_iou=0.6523, p_recall=0.8298, p_precision=0.7531, p_F1=0.7896
- epoch: 10, iter:140, loss=1.4535, pixel_accu=0.9682, p_iou=0.5289, p_recall=0.6309, p_precision=0.7657, p_F1=0.6918
- epoch: 10, iter:145, loss=1.3314, pixel_accu=0.9498, p_iou=0.5062, p_recall=0.6805, p_precision=0.6641, p_F1=0.6722
- epoch: 10, iter:150, loss=1.7356, pixel_accu=0.9067, p_iou=0.5260, p_recall=0.8082, p_precision=0.6010, p_F1=0.6894
- epoch: 10, iter:155, loss=1.4894, pixel_accu=0.9548, p_iou=0.6197, p_recall=0.7649, p_precision=0.7655, p_F1=0.7652
- epoch: 10, iter:160, loss=1.0400, pixel_accu=0.9758, p_iou=0.7264, p_recall=0.8408, p_precision=0.8422, p_F1=0.8415
- epoch: 10, iter:165, loss=2.1385, pixel_accu=0.8891, p_iou=0.4510, p_recall=0.5335, p_precision=0.7446, p_F1=0.6216
- epoch: 10, iter:170, loss=1.7923, pixel_accu=0.9162, p_iou=0.4892, p_recall=0.5796, p_precision=0.7582, p_F1=0.6570
- epoch: 10, iter:175, loss=1.8773, pixel_accu=0.9115, p_iou=0.6397, p_recall=0.7714, p_precision=0.7894, p_F1=0.7803
- epoch: 10, iter:180, loss=2.0056, pixel_accu=0.9187, p_iou=0.7363, p_recall=0.8006, p_precision=0.9016, p_F1=0.8481
- epoch: 10, iter:185, loss=2.6510, pixel_accu=0.7866, p_iou=0.4697, p_recall=0.5824, p_precision=0.7082, p_F1=0.6392
- epoch: 10, iter:190, loss=1.4570, pixel_accu=0.9526, p_iou=0.4029, p_recall=0.7913, p_precision=0.4508, p_F1=0.5744
- 2021-11-30 12:34 => Train Avg: Loss 1.9744 Loss_CE 0.8030 Loss_var -1.0000 Pixel_Accu 0.9114
- pixel_IoU 0.5459 pixel_Recall 0.7218 pixel_Precision 0.7169 pixel_F1 0.7003
- ======= train() ======== each epoch work time is [71.6105 s].
- ======= validate() ======== each epoch work time is [0.0001 s].
- epoch = 10, cp_flag = 1
- 2021-11-30 12:34 Epoch: [12/300]
- epoch: 11, iter: 0, loss=1.8798, pixel_accu=0.9121, p_iou=0.5589, p_recall=0.7837, p_precision=0.6608, p_F1=0.7170
- epoch: 11, iter: 5, loss=1.5711, pixel_accu=0.9515, p_iou=0.5249, p_recall=0.5892, p_precision=0.8280, p_F1=0.6885
- epoch: 11, iter: 10, loss=0.8983, pixel_accu=0.9792, p_iou=0.7204, p_recall=0.7843, p_precision=0.8984, p_F1=0.8375
- epoch: 11, iter: 15, loss=2.6379, pixel_accu=0.9005, p_iou=0.4578, p_recall=0.7077, p_precision=0.5645, p_F1=0.6281
- epoch: 11, iter: 20, loss=2.4363, pixel_accu=0.8755, p_iou=0.6000, p_recall=0.6316, p_precision=0.9229, p_F1=0.7500
- epoch: 11, iter: 25, loss=2.0884, pixel_accu=0.9349, p_iou=0.4406, p_recall=0.7920, p_precision=0.4983, p_F1=0.6117
- epoch: 11, iter: 30, loss=2.3900, pixel_accu=0.8764, p_iou=0.3999, p_recall=0.4735, p_precision=0.7199, p_F1=0.5713
- epoch: 11, iter: 35, loss=1.4720, pixel_accu=0.9404, p_iou=0.6528, p_recall=0.7375, p_precision=0.8504, p_F1=0.7899
- epoch: 11, iter: 40, loss=2.2607, pixel_accu=0.8730, p_iou=0.5635, p_recall=0.6081, p_precision=0.8848, p_F1=0.7208
- epoch: 11, iter: 45, loss=1.6028, pixel_accu=0.9319, p_iou=0.6052, p_recall=0.7219, p_precision=0.7892, p_F1=0.7541
- epoch: 11, iter: 50, loss=2.3846, pixel_accu=0.8912, p_iou=0.6545, p_recall=0.7226, p_precision=0.8740, p_F1=0.7911
- epoch: 11, iter: 55, loss=1.5996, pixel_accu=0.9495, p_iou=0.4843, p_recall=0.8564, p_precision=0.5270, p_F1=0.6525
- epoch: 11, iter: 60, loss=1.7226, pixel_accu=0.9152, p_iou=0.5862, p_recall=0.7718, p_precision=0.7091, p_F1=0.7391
- epoch: 11, iter: 65, loss=1.4057, pixel_accu=0.9562, p_iou=0.6604, p_recall=0.8332, p_precision=0.7609, p_F1=0.7954
- epoch: 11, iter: 70, loss=1.2939, pixel_accu=0.9716, p_iou=0.5586, p_recall=0.8076, p_precision=0.6443, p_F1=0.7168
- epoch: 11, iter: 75, loss=1.2368, pixel_accu=0.9720, p_iou=0.6572, p_recall=0.8070, p_precision=0.7798, p_F1=0.7931
- epoch: 11, iter: 80, loss=1.3828, pixel_accu=0.9591, p_iou=0.7346, p_recall=0.9064, p_precision=0.7948, p_F1=0.8470
- epoch: 11, iter: 85, loss=2.5898, pixel_accu=0.8549, p_iou=0.5921, p_recall=0.7267, p_precision=0.7618, p_F1=0.7438
- epoch: 11, iter: 90, loss=1.4389, pixel_accu=0.9529, p_iou=0.5051, p_recall=0.5871, p_precision=0.7834, p_F1=0.6712
- epoch: 11, iter: 95, loss=4.7270, pixel_accu=0.7281, p_iou=0.4221, p_recall=0.4555, p_precision=0.8517, p_F1=0.5936
- epoch: 11, iter:100, loss=1.9585, pixel_accu=0.9012, p_iou=0.4211, p_recall=0.7721, p_precision=0.4809, p_F1=0.5926
- epoch: 11, iter:105, loss=0.9739, pixel_accu=0.9786, p_iou=0.7339, p_recall=0.8210, p_precision=0.8738, p_F1=0.8466
- epoch: 11, iter:110, loss=1.4770, pixel_accu=0.9677, p_iou=0.5081, p_recall=0.7541, p_precision=0.6090, p_F1=0.6739
- epoch: 11, iter:115, loss=2.4504, pixel_accu=0.9221, p_iou=0.5324, p_recall=0.7747, p_precision=0.6299, p_F1=0.6948
- epoch: 11, iter:120, loss=1.9459, pixel_accu=0.9081, p_iou=0.4667, p_recall=0.6364, p_precision=0.6364, p_F1=0.6364
- epoch: 11, iter:125, loss=1.8586, pixel_accu=0.9289, p_iou=0.6220, p_recall=0.8137, p_precision=0.7253, p_F1=0.7670
- epoch: 11, iter:130, loss=1.6438, pixel_accu=0.9252, p_iou=0.5466, p_recall=0.6495, p_precision=0.7753, p_F1=0.7069
- epoch: 11, iter:135, loss=1.3104, pixel_accu=0.9705, p_iou=0.5778, p_recall=0.7598, p_precision=0.7070, p_F1=0.7324
- epoch: 11, iter:140, loss=2.3565, pixel_accu=0.9326, p_iou=0.4529, p_recall=0.6376, p_precision=0.6099, p_F1=0.6235
- epoch: 11, iter:145, loss=1.7528, pixel_accu=0.8942, p_iou=0.6202, p_recall=0.7969, p_precision=0.7367, p_F1=0.7656
- epoch: 11, iter:150, loss=2.5527, pixel_accu=0.9193, p_iou=0.5071, p_recall=0.7203, p_precision=0.6315, p_F1=0.6730
- epoch: 11, iter:155, loss=1.6713, pixel_accu=0.9169, p_iou=0.5699, p_recall=0.7515, p_precision=0.7022, p_F1=0.7260
- epoch: 11, iter:160, loss=2.7019, pixel_accu=0.9215, p_iou=0.5477, p_recall=0.7161, p_precision=0.6996, p_F1=0.7077
- epoch: 11, iter:165, loss=2.2494, pixel_accu=0.9106, p_iou=0.3753, p_recall=0.4972, p_precision=0.6047, p_F1=0.5457
- epoch: 11, iter:170, loss=1.5006, pixel_accu=0.9262, p_iou=0.5949, p_recall=0.6973, p_precision=0.8020, p_F1=0.7460
- epoch: 11, iter:175, loss=1.6365, pixel_accu=0.9190, p_iou=0.5027, p_recall=0.8977, p_precision=0.5332, p_F1=0.6690
- epoch: 11, iter:180, loss=2.1332, pixel_accu=0.8795, p_iou=0.6130, p_recall=0.7728, p_precision=0.7477, p_F1=0.7600
- epoch: 11, iter:185, loss=2.3587, pixel_accu=0.9270, p_iou=0.4176, p_recall=0.7721, p_precision=0.4763, p_F1=0.5891
- epoch: 11, iter:190, loss=1.6156, pixel_accu=0.9521, p_iou=0.6435, p_recall=0.7338, p_precision=0.8396, p_F1=0.7831
- 2021-11-30 12:35 => Train Avg: Loss 1.9501 Loss_CE 0.7930 Loss_var -1.0000 Pixel_Accu 0.9138
- pixel_IoU 0.5520 pixel_Recall 0.7211 pixel_Precision 0.7255 pixel_F1 0.7067
- 2021-11-30 12:35 Epoch: [13/300]
- epoch: 12, iter: 0, loss=1.8006, pixel_accu=0.9150, p_iou=0.4652, p_recall=0.4784, p_precision=0.9441, p_F1=0.6350
- epoch: 12, iter: 5, loss=3.9051, pixel_accu=0.7658, p_iou=0.4696, p_recall=0.4852, p_precision=0.9361, p_F1=0.6391
- epoch: 12, iter: 10, loss=2.2006, pixel_accu=0.9131, p_iou=0.5120, p_recall=0.5393, p_precision=0.9098, p_F1=0.6772
- epoch: 12, iter: 15, loss=1.6210, pixel_accu=0.9369, p_iou=0.4415, p_recall=0.8177, p_precision=0.4897, p_F1=0.6125
- epoch: 12, iter: 20, loss=1.2949, pixel_accu=0.9727, p_iou=0.5492, p_recall=0.7442, p_precision=0.6770, p_F1=0.7090
- epoch: 12, iter: 25, loss=1.5694, pixel_accu=0.9327, p_iou=0.5291, p_recall=0.6698, p_precision=0.7157, p_F1=0.6920
- epoch: 12, iter: 30, loss=1.9273, pixel_accu=0.8981, p_iou=0.5316, p_recall=0.5629, p_precision=0.9055, p_F1=0.6942
- epoch: 12, iter: 35, loss=2.3236, pixel_accu=0.9300, p_iou=0.5607, p_recall=0.8297, p_precision=0.6336, p_F1=0.7186
- epoch: 12, iter: 40, loss=1.7167, pixel_accu=0.9265, p_iou=0.6481, p_recall=0.8570, p_precision=0.7267, p_F1=0.7865
- epoch: 12, iter: 45, loss=2.1718, pixel_accu=0.8718, p_iou=0.5158, p_recall=0.6640, p_precision=0.6980, p_F1=0.6806
- epoch: 12, iter: 50, loss=1.6290, pixel_accu=0.9351, p_iou=0.6160, p_recall=0.7050, p_precision=0.8298, p_F1=0.7623
- epoch: 12, iter: 55, loss=2.0006, pixel_accu=0.8971, p_iou=0.5771, p_recall=0.6270, p_precision=0.8789, p_F1=0.7319
- epoch: 12, iter: 60, loss=1.3713, pixel_accu=0.9672, p_iou=0.5390, p_recall=0.8210, p_precision=0.6108, p_F1=0.7005
- epoch: 12, iter: 65, loss=1.7293, pixel_accu=0.9266, p_iou=0.5907, p_recall=0.8227, p_precision=0.6768, p_F1=0.7427
- epoch: 12, iter: 70, loss=1.5840, pixel_accu=0.9587, p_iou=0.6112, p_recall=0.8434, p_precision=0.6894, p_F1=0.7587
- epoch: 12, iter: 75, loss=2.3190, pixel_accu=0.9328, p_iou=0.4603, p_recall=0.5976, p_precision=0.6671, p_F1=0.6305
- epoch: 12, iter: 80, loss=2.3604, pixel_accu=0.8808, p_iou=0.5787, p_recall=0.6490, p_precision=0.8423, p_F1=0.7331
- epoch: 12, iter: 85, loss=1.7756, pixel_accu=0.9361, p_iou=0.5203, p_recall=0.8198, p_precision=0.5875, p_F1=0.6845
- epoch: 12, iter: 90, loss=1.1949, pixel_accu=0.9511, p_iou=0.6790, p_recall=0.8644, p_precision=0.7600, p_F1=0.8088
- epoch: 12, iter: 95, loss=1.9576, pixel_accu=0.8926, p_iou=0.5986, p_recall=0.8686, p_precision=0.6582, p_F1=0.7489
- epoch: 12, iter:100, loss=1.6362, pixel_accu=0.9297, p_iou=0.5062, p_recall=0.7473, p_precision=0.6107, p_F1=0.6721
- epoch: 12, iter:105, loss=1.2308, pixel_accu=0.9668, p_iou=0.7187, p_recall=0.8662, p_precision=0.8085, p_F1=0.8363
- epoch: 12, iter:110, loss=1.8667, pixel_accu=0.9611, p_iou=0.4604, p_recall=0.7617, p_precision=0.5379, p_F1=0.6305
- epoch: 12, iter:115, loss=1.4744, pixel_accu=0.9375, p_iou=0.5876, p_recall=0.7208, p_precision=0.7608, p_F1=0.7402
- epoch: 12, iter:120, loss=2.3367, pixel_accu=0.9040, p_iou=0.3214, p_recall=0.3595, p_precision=0.7521, p_F1=0.4865
- epoch: 12, iter:125, loss=1.8626, pixel_accu=0.9158, p_iou=0.5638, p_recall=0.6354, p_precision=0.8333, p_F1=0.7210
- epoch: 12, iter:130, loss=2.2038, pixel_accu=0.8938, p_iou=0.6043, p_recall=0.6951, p_precision=0.8224, p_F1=0.7534
- epoch: 12, iter:135, loss=1.7129, pixel_accu=0.8913, p_iou=0.5318, p_recall=0.7430, p_precision=0.6517, p_F1=0.6944
- epoch: 12, iter:140, loss=1.9405, pixel_accu=0.8940, p_iou=0.5614, p_recall=0.7449, p_precision=0.6950, p_F1=0.7191
- epoch: 12, iter:145, loss=1.4899, pixel_accu=0.9399, p_iou=0.7200, p_recall=0.8369, p_precision=0.8376, p_F1=0.8372
- epoch: 12, iter:150, loss=1.7270, pixel_accu=0.9099, p_iou=0.6108, p_recall=0.7319, p_precision=0.7868, p_F1=0.7584
- epoch: 12, iter:155, loss=2.0663, pixel_accu=0.9153, p_iou=0.7017, p_recall=0.7742, p_precision=0.8823, p_F1=0.8247
- epoch: 12, iter:160, loss=1.1654, pixel_accu=0.9750, p_iou=0.6743, p_recall=0.8189, p_precision=0.7924, p_F1=0.8055
- epoch: 12, iter:165, loss=1.4114, pixel_accu=0.9583, p_iou=0.5329, p_recall=0.6881, p_precision=0.7026, p_F1=0.6953
- epoch: 12, iter:170, loss=1.1666, pixel_accu=0.9797, p_iou=0.5502, p_recall=0.7507, p_precision=0.6731, p_F1=0.7098
- epoch: 12, iter:175, loss=1.4202, pixel_accu=0.9545, p_iou=0.6896, p_recall=0.7176, p_precision=0.9465, p_F1=0.8163
- epoch: 12, iter:180, loss=3.4880, pixel_accu=0.8156, p_iou=0.4704, p_recall=0.5341, p_precision=0.7977, p_F1=0.6398
- epoch: 12, iter:185, loss=2.5051, pixel_accu=0.8677, p_iou=0.6028, p_recall=0.6736, p_precision=0.8516, p_F1=0.7522
- epoch: 12, iter:190, loss=1.8004, pixel_accu=0.9153, p_iou=0.4849, p_recall=0.9222, p_precision=0.5056, p_F1=0.6531
- 2021-11-30 12:36 => Train Avg: Loss 1.9460 Loss_CE 0.7948 Loss_var -1.0000 Pixel_Accu 0.9139
- pixel_IoU 0.5570 pixel_Recall 0.7271 pixel_Precision 0.7255 pixel_F1 0.7100
- epoch = 12, cp_flag = 1
- 2021-11-30 12:36 Epoch: [14/300]
- epoch: 13, iter: 0, loss=1.9072, pixel_accu=0.9377, p_iou=0.5336, p_recall=0.7756, p_precision=0.6309, p_F1=0.6958
- epoch: 13, iter: 5, loss=3.8000, pixel_accu=0.7981, p_iou=0.5492, p_recall=0.5647, p_precision=0.9523, p_F1=0.7090
- epoch: 13, iter: 10, loss=1.3963, pixel_accu=0.9485, p_iou=0.7304, p_recall=0.7726, p_precision=0.9305, p_F1=0.8442
- epoch: 13, iter: 15, loss=1.9109, pixel_accu=0.9044, p_iou=0.4185, p_recall=0.6253, p_precision=0.5586, p_F1=0.5901
- epoch: 13, iter: 20, loss=2.1727, pixel_accu=0.8924, p_iou=0.5910, p_recall=0.8134, p_precision=0.6837, p_F1=0.7429
- epoch: 13, iter: 25, loss=1.2127, pixel_accu=0.9586, p_iou=0.6530, p_recall=0.7897, p_precision=0.7904, p_F1=0.7900
- epoch: 13, iter: 30, loss=1.7696, pixel_accu=0.9321, p_iou=0.6058, p_recall=0.8224, p_precision=0.6970, p_F1=0.7545
- epoch: 13, iter: 35, loss=1.3805, pixel_accu=0.9679, p_iou=0.5578, p_recall=0.7318, p_precision=0.7012, p_F1=0.7162
- epoch: 13, iter: 40, loss=2.5995, pixel_accu=0.9228, p_iou=0.5217, p_recall=0.7648, p_precision=0.6214, p_F1=0.6857
- epoch: 13, iter: 45, loss=2.4010, pixel_accu=0.9251, p_iou=0.5861, p_recall=0.7655, p_precision=0.7143, p_F1=0.7390
- epoch: 13, iter: 50, loss=1.1590, pixel_accu=0.9703, p_iou=0.6850, p_recall=0.7488, p_precision=0.8893, p_F1=0.8130
- epoch: 13, iter: 55, loss=1.7159, pixel_accu=0.9209, p_iou=0.6024, p_recall=0.7445, p_precision=0.7595, p_F1=0.7519
- epoch: 13, iter: 60, loss=1.9292, pixel_accu=0.9015, p_iou=0.6601, p_recall=0.7391, p_precision=0.8607, p_F1=0.7953
- epoch: 13, iter: 65, loss=1.9175, pixel_accu=0.9058, p_iou=0.5343, p_recall=0.6114, p_precision=0.8090, p_F1=0.6965
- epoch: 13, iter: 70, loss=1.6282, pixel_accu=0.9599, p_iou=0.5439, p_recall=0.6559, p_precision=0.7612, p_F1=0.7046
- epoch: 13, iter: 75, loss=2.6493, pixel_accu=0.8553, p_iou=0.5195, p_recall=0.5495, p_precision=0.9050, p_F1=0.6838
- epoch: 13, iter: 80, loss=1.4565, pixel_accu=0.9559, p_iou=0.5740, p_recall=0.8945, p_precision=0.6157, p_F1=0.7293
- epoch: 13, iter: 85, loss=2.8363, pixel_accu=0.8539, p_iou=0.6243, p_recall=0.6521, p_precision=0.9362, p_F1=0.7687
- epoch: 13, iter: 90, loss=0.9864, pixel_accu=0.9810, p_iou=0.7697, p_recall=0.9050, p_precision=0.8373, p_F1=0.8699
- epoch: 13, iter: 95, loss=2.1560, pixel_accu=0.8740, p_iou=0.4799, p_recall=0.5021, p_precision=0.9156, p_F1=0.6485
- epoch: 13, iter:100, loss=1.7991, pixel_accu=0.9439, p_iou=0.5343, p_recall=0.7327, p_precision=0.6636, p_F1=0.6964
- epoch: 13, iter:105, loss=1.1083, pixel_accu=0.9763, p_iou=0.7235, p_recall=0.8480, p_precision=0.8313, p_F1=0.8396
- epoch: 13, iter:110, loss=1.4946, pixel_accu=0.9698, p_iou=0.4531, p_recall=0.7518, p_precision=0.5328, p_F1=0.6237
- epoch: 13, iter:115, loss=1.6551, pixel_accu=0.9209, p_iou=0.6368, p_recall=0.7568, p_precision=0.8007, p_F1=0.7781
- epoch: 13, iter:120, loss=2.7886, pixel_accu=0.8531, p_iou=0.5284, p_recall=0.5690, p_precision=0.8808, p_F1=0.6914
- epoch: 13, iter:125, loss=2.0075, pixel_accu=0.9154, p_iou=0.6575, p_recall=0.6977, p_precision=0.9196, p_F1=0.7934
- epoch: 13, iter:130, loss=1.2808, pixel_accu=0.9631, p_iou=0.6238, p_recall=0.7556, p_precision=0.7815, p_F1=0.7683
- epoch: 13, iter:135, loss=1.4953, pixel_accu=0.9582, p_iou=0.6241, p_recall=0.7798, p_precision=0.7577, p_F1=0.7686
- epoch: 13, iter:140, loss=2.3232, pixel_accu=0.9319, p_iou=0.5180, p_recall=0.6970, p_precision=0.6685, p_F1=0.6825
- epoch: 13, iter:145, loss=1.8464, pixel_accu=0.9060, p_iou=0.5786, p_recall=0.8207, p_precision=0.6623, p_F1=0.7331
- epoch: 13, iter:150, loss=2.1983, pixel_accu=0.8876, p_iou=0.6262, p_recall=0.7678, p_precision=0.7726, p_F1=0.7701
- epoch: 13, iter:155, loss=1.4244, pixel_accu=0.9609, p_iou=0.6930, p_recall=0.8572, p_precision=0.7834, p_F1=0.8186
- epoch: 13, iter:160, loss=1.2965, pixel_accu=0.9672, p_iou=0.5956, p_recall=0.7900, p_precision=0.7076, p_F1=0.7465
- epoch: 13, iter:165, loss=1.7438, pixel_accu=0.9012, p_iou=0.5777, p_recall=0.7814, p_precision=0.6891, p_F1=0.7324
- epoch: 13, iter:170, loss=1.1926, pixel_accu=0.9605, p_iou=0.6501, p_recall=0.7553, p_precision=0.8236, p_F1=0.7880
- epoch: 13, iter:175, loss=2.8800, pixel_accu=0.9113, p_iou=0.3691, p_recall=0.6345, p_precision=0.4688, p_F1=0.5392
- epoch: 13, iter:180, loss=1.9443, pixel_accu=0.9487, p_iou=0.5887, p_recall=0.7671, p_precision=0.7169, p_F1=0.7411
- epoch: 13, iter:185, loss=1.0150, pixel_accu=0.9783, p_iou=0.7617, p_recall=0.8492, p_precision=0.8809, p_F1=0.8647
- epoch: 13, iter:190, loss=1.9071, pixel_accu=0.8933, p_iou=0.4898, p_recall=0.5467, p_precision=0.8245, p_F1=0.6575
- 2021-11-30 12:37 => Train Avg: Loss 1.8912 Loss_CE 0.7671 Loss_var -1.0000 Pixel_Accu 0.9185
- pixel_IoU 0.5700 pixel_Recall 0.7305 pixel_Precision 0.7378 pixel_F1 0.7218
- 2021-11-30 12:37 Epoch: [15/300]
- epoch: 14, iter: 0, loss=1.3612, pixel_accu=0.9565, p_iou=0.6670, p_recall=0.7448, p_precision=0.8646, p_F1=0.8002
- epoch: 14, iter: 5, loss=2.1233, pixel_accu=0.8918, p_iou=0.6091, p_recall=0.7067, p_precision=0.8151, p_F1=0.7571
- epoch: 14, iter: 10, loss=1.1970, pixel_accu=0.9494, p_iou=0.6966, p_recall=0.8734, p_precision=0.7748, p_F1=0.8211
- epoch: 14, iter: 15, loss=1.6788, pixel_accu=0.9069, p_iou=0.4422, p_recall=0.9281, p_precision=0.4579, p_F1=0.6132
- epoch: 14, iter: 20, loss=1.7942, pixel_accu=0.9027, p_iou=0.5658, p_recall=0.7946, p_precision=0.6628, p_F1=0.7227
- epoch: 14, iter: 25, loss=1.6235, pixel_accu=0.9719, p_iou=0.4299, p_recall=0.6873, p_precision=0.5344, p_F1=0.6013
- epoch: 14, iter: 30, loss=1.8046, pixel_accu=0.9161, p_iou=0.5142, p_recall=0.6501, p_precision=0.7110, p_F1=0.6792
- epoch: 14, iter: 35, loss=3.1682, pixel_accu=0.8568, p_iou=0.3313, p_recall=0.7173, p_precision=0.3811, p_F1=0.4977
- epoch: 14, iter: 40, loss=1.6693, pixel_accu=0.9431, p_iou=0.4453, p_recall=0.6826, p_precision=0.5615, p_F1=0.6162
- epoch: 14, iter: 45, loss=1.3645, pixel_accu=0.9575, p_iou=0.5866, p_recall=0.8312, p_precision=0.6659, p_F1=0.7394
- epoch: 14, iter: 50, loss=2.8958, pixel_accu=0.9147, p_iou=0.4935, p_recall=0.6142, p_precision=0.7152, p_F1=0.6608
- epoch: 14, iter: 55, loss=1.5056, pixel_accu=0.9451, p_iou=0.6263, p_recall=0.7309, p_precision=0.8139, p_F1=0.7702
- epoch: 14, iter: 60, loss=2.4454, pixel_accu=0.8400, p_iou=0.5543, p_recall=0.6443, p_precision=0.7987, p_F1=0.7132
- epoch: 14, iter: 65, loss=1.5267, pixel_accu=0.9295, p_iou=0.5940, p_recall=0.8773, p_precision=0.6478, p_F1=0.7453
- epoch: 14, iter: 70, loss=2.6563, pixel_accu=0.8461, p_iou=0.5798, p_recall=0.6458, p_precision=0.8503, p_F1=0.7341
- epoch: 14, iter: 75, loss=1.3581, pixel_accu=0.9483, p_iou=0.6047, p_recall=0.6798, p_precision=0.8456, p_F1=0.7537
- epoch: 14, iter: 80, loss=1.3400, pixel_accu=0.9570, p_iou=0.6015, p_recall=0.6695, p_precision=0.8555, p_F1=0.7512
- epoch: 14, iter: 85, loss=1.6287, pixel_accu=0.9348, p_iou=0.7104, p_recall=0.8244, p_precision=0.8371, p_F1=0.8307
- epoch: 14, iter: 90, loss=2.3199, pixel_accu=0.8974, p_iou=0.7170, p_recall=0.7681, p_precision=0.9150, p_F1=0.8352
- epoch: 14, iter: 95, loss=1.5897, pixel_accu=0.9266, p_iou=0.5864, p_recall=0.6889, p_precision=0.7976, p_F1=0.7393
- epoch: 14, iter:100, loss=1.9094, pixel_accu=0.8693, p_iou=0.3493, p_recall=0.7946, p_precision=0.3839, p_F1=0.5177
- epoch: 14, iter:105, loss=1.9507, pixel_accu=0.9080, p_iou=0.5801, p_recall=0.8135, p_precision=0.6690, p_F1=0.7342
- epoch: 14, iter:110, loss=3.2770, pixel_accu=0.7999, p_iou=0.4915, p_recall=0.5251, p_precision=0.8849, p_F1=0.6591
- epoch: 14, iter:115, loss=2.2262, pixel_accu=0.9079, p_iou=0.5079, p_recall=0.7529, p_precision=0.6095, p_F1=0.6736
- epoch: 14, iter:120, loss=1.2971, pixel_accu=0.9615, p_iou=0.4729, p_recall=0.7442, p_precision=0.5647, p_F1=0.6421
- epoch: 14, iter:125, loss=1.6690, pixel_accu=0.9417, p_iou=0.5247, p_recall=0.6199, p_precision=0.7735, p_F1=0.6882
- epoch: 14, iter:130, loss=1.5951, pixel_accu=0.9549, p_iou=0.4967, p_recall=0.5544, p_precision=0.8268, p_F1=0.6637
- epoch: 14, iter:135, loss=1.4278, pixel_accu=0.9406, p_iou=0.6480, p_recall=0.7816, p_precision=0.7913, p_F1=0.7864
- epoch: 14, iter:140, loss=3.4305, pixel_accu=0.8163, p_iou=0.5615, p_recall=0.6155, p_precision=0.8647, p_F1=0.7191
- epoch: 14, iter:145, loss=1.8770, pixel_accu=0.9103, p_iou=0.6098, p_recall=0.9268, p_precision=0.6406, p_F1=0.7576
- epoch: 14, iter:150, loss=1.4608, pixel_accu=0.9530, p_iou=0.5479, p_recall=0.8667, p_precision=0.5984, p_F1=0.7080
- epoch: 14, iter:155, loss=1.8684, pixel_accu=0.9022, p_iou=0.5296, p_recall=0.5525, p_precision=0.9275, p_F1=0.6925
- epoch: 14, iter:160, loss=1.8895, pixel_accu=0.9271, p_iou=0.5610, p_recall=0.6252, p_precision=0.8453, p_F1=0.7188
- epoch: 14, iter:165, loss=2.2730, pixel_accu=0.8970, p_iou=0.5912, p_recall=0.6623, p_precision=0.8463, p_F1=0.7431
- epoch: 14, iter:170, loss=3.0195, pixel_accu=0.8983, p_iou=0.5335, p_recall=0.6965, p_precision=0.6950, p_F1=0.6958
- epoch: 14, iter:175, loss=1.4094, pixel_accu=0.9447, p_iou=0.6713, p_recall=0.7325, p_precision=0.8892, p_F1=0.8033
- epoch: 14, iter:180, loss=2.7619, pixel_accu=0.8769, p_iou=0.5484, p_recall=0.6572, p_precision=0.7682, p_F1=0.7084
- epoch: 14, iter:185, loss=1.7311, pixel_accu=0.9151, p_iou=0.5087, p_recall=0.6928, p_precision=0.6568, p_F1=0.6743
- epoch: 14, iter:190, loss=2.1996, pixel_accu=0.8842, p_iou=0.4661, p_recall=0.5869, p_precision=0.6935, p_F1=0.6358
- 2021-11-30 12:39 => Train Avg: Loss 1.9267 Loss_CE 0.7872 Loss_var -1.0000 Pixel_Accu 0.9145
- pixel_IoU 0.5685 pixel_Recall 0.7342 pixel_Precision 0.7319 pixel_F1 0.7192
- epoch = 14, cp_flag = 1
- ===================== EarlyStopping counter: 1 out of 7 =====================
- 2021-11-30 12:39 Epoch: [16/300]
- epoch: 15, iter: 0, loss=3.1679, pixel_accu=0.8311, p_iou=0.5286, p_recall=0.5930, p_precision=0.8297, p_F1=0.6916
- epoch: 15, iter: 5, loss=2.8433, pixel_accu=0.9028, p_iou=0.4744, p_recall=0.8524, p_precision=0.5169, p_F1=0.6435
- epoch: 15, iter: 10, loss=2.1206, pixel_accu=0.9083, p_iou=0.6778, p_recall=0.8082, p_precision=0.8077, p_F1=0.8080
- epoch: 15, iter: 15, loss=2.3073, pixel_accu=0.8936, p_iou=0.5867, p_recall=0.7082, p_precision=0.7737, p_F1=0.7395
- epoch: 15, iter: 20, loss=1.9062, pixel_accu=0.8989, p_iou=0.4756, p_recall=0.5010, p_precision=0.9035, p_F1=0.6446
- epoch: 15, iter: 25, loss=1.7595, pixel_accu=0.9146, p_iou=0.6214, p_recall=0.7281, p_precision=0.8092, p_F1=0.7665
- epoch: 15, iter: 30, loss=1.1633, pixel_accu=0.9632, p_iou=0.7361, p_recall=0.7856, p_precision=0.9212, p_F1=0.8480
- epoch: 15, iter: 35, loss=1.9170, pixel_accu=0.9187, p_iou=0.7080, p_recall=0.7639, p_precision=0.9064, p_F1=0.8290
- epoch: 15, iter: 40, loss=1.9234, pixel_accu=0.8839, p_iou=0.5260, p_recall=0.8227, p_precision=0.5933, p_F1=0.6894
- epoch: 15, iter: 45, loss=1.5581, pixel_accu=0.9299, p_iou=0.5104, p_recall=0.8406, p_precision=0.5651, p_F1=0.6758
- epoch: 15, iter: 50, loss=1.9529, pixel_accu=0.9142, p_iou=0.4575, p_recall=0.5649, p_precision=0.7065, p_F1=0.6278
- epoch: 15, iter: 55, loss=1.8162, pixel_accu=0.8886, p_iou=0.4995, p_recall=0.7103, p_precision=0.6273, p_F1=0.6662
- epoch: 15, iter: 60, loss=1.4658, pixel_accu=0.9440, p_iou=0.6510, p_recall=0.7786, p_precision=0.7989, p_F1=0.7886
- epoch: 15, iter: 65, loss=1.9487, pixel_accu=0.9133, p_iou=0.6292, p_recall=0.8044, p_precision=0.7429, p_F1=0.7724
- epoch: 15, iter: 70, loss=1.0476, pixel_accu=0.9914, p_iou=0.4764, p_recall=0.8371, p_precision=0.5250, p_F1=0.6453
- epoch: 15, iter: 75, loss=1.3951, pixel_accu=0.9465, p_iou=0.6008, p_recall=0.7914, p_precision=0.7138, p_F1=0.7506
- epoch: 15, iter: 80, loss=1.5523, pixel_accu=0.9574, p_iou=0.5028, p_recall=0.7596, p_precision=0.5979, p_F1=0.6691
- epoch: 15, iter: 85, loss=2.4112, pixel_accu=0.8597, p_iou=0.5638, p_recall=0.7793, p_precision=0.6709, p_F1=0.7210
- epoch: 15, iter: 90, loss=2.2991, pixel_accu=0.8989, p_iou=0.5370, p_recall=0.5888, p_precision=0.8594, p_F1=0.6988
- epoch: 15, iter: 95, loss=1.4742, pixel_accu=0.9601, p_iou=0.5286, p_recall=0.8470, p_precision=0.5844, p_F1=0.6916
- epoch: 15, iter:100, loss=3.3406, pixel_accu=0.8321, p_iou=0.4650, p_recall=0.6118, p_precision=0.6597, p_F1=0.6348
- epoch: 15, iter:105, loss=1.9734, pixel_accu=0.8813, p_iou=0.5262, p_recall=0.8341, p_precision=0.5876, p_F1=0.6895
- epoch: 15, iter:110, loss=2.0190, pixel_accu=0.9113, p_iou=0.5583, p_recall=0.7052, p_precision=0.7283, p_F1=0.7165
- epoch: 15, iter:115, loss=2.3036, pixel_accu=0.9324, p_iou=0.4919, p_recall=0.7209, p_precision=0.6075, p_F1=0.6594
- epoch: 15, iter:120, loss=1.3220, pixel_accu=0.9545, p_iou=0.6232, p_recall=0.7573, p_precision=0.7787, p_F1=0.7678
- epoch: 15, iter:125, loss=2.4272, pixel_accu=0.9389, p_iou=0.4621, p_recall=0.5737, p_precision=0.7038, p_F1=0.6321
- epoch: 15, iter:130, loss=2.6354, pixel_accu=0.8343, p_iou=0.5494, p_recall=0.6170, p_precision=0.8338, p_F1=0.7092
- epoch: 15, iter:135, loss=1.7983, pixel_accu=0.9323, p_iou=0.6643, p_recall=0.8572, p_precision=0.7470, p_F1=0.7983
- epoch: 15, iter:140, loss=2.1084, pixel_accu=0.9046, p_iou=0.5931, p_recall=0.6923, p_precision=0.8054, p_F1=0.7446
- epoch: 15, iter:145, loss=2.7533, pixel_accu=0.9118, p_iou=0.4952, p_recall=0.7902, p_precision=0.5701, p_F1=0.6624
- epoch: 15, iter:150, loss=2.5240, pixel_accu=0.8637, p_iou=0.6040, p_recall=0.6249, p_precision=0.9475, p_F1=0.7531
- epoch: 15, iter:155, loss=1.7440, pixel_accu=0.9275, p_iou=0.5897, p_recall=0.6274, p_precision=0.9075, p_F1=0.7419
- epoch: 15, iter:160, loss=2.5948, pixel_accu=0.8331, p_iou=0.4649, p_recall=0.6843, p_precision=0.5918, p_F1=0.6347
- epoch: 15, iter:165, loss=3.1175, pixel_accu=0.8060, p_iou=0.6383, p_recall=0.6605, p_precision=0.9499, p_F1=0.7792
- epoch: 15, iter:170, loss=2.0278, pixel_accu=0.8961, p_iou=0.6168, p_recall=0.7629, p_precision=0.7632, p_F1=0.7630
- epoch: 15, iter:175, loss=1.5798, pixel_accu=0.9428, p_iou=0.4900, p_recall=0.6899, p_precision=0.6284, p_F1=0.6577
- epoch: 15, iter:180, loss=3.5209, pixel_accu=0.8864, p_iou=0.5119, p_recall=0.7873, p_precision=0.5941, p_F1=0.6772
- epoch: 15, iter:185, loss=1.9779, pixel_accu=0.9157, p_iou=0.6214, p_recall=0.6601, p_precision=0.9139, p_F1=0.7665
- epoch: 15, iter:190, loss=0.9339, pixel_accu=0.9783, p_iou=0.7445, p_recall=0.8317, p_precision=0.8766, p_F1=0.8536
- 2021-11-30 12:40 => Train Avg: Loss 1.9364 Loss_CE 0.7960 Loss_var -1.0000 Pixel_Accu 0.9152
- pixel_IoU 0.5675 pixel_Recall 0.7349 pixel_Precision 0.7334 pixel_F1 0.7195
- ======= train() ======== each epoch work time is [71.5788 s].
- ======= validate() ======== each epoch work time is [0.0000 s].
- ===================== EarlyStopping counter: 2 out of 7 =====================
- 2021-11-30 12:40 Epoch: [17/300]
- epoch: 16, iter: 0, loss=1.4640, pixel_accu=0.9590, p_iou=0.4141, p_recall=0.6267, p_precision=0.5497, p_F1=0.5857
- epoch: 16, iter: 5, loss=2.9209, pixel_accu=0.8467, p_iou=0.5242, p_recall=0.5606, p_precision=0.8899, p_F1=0.6879
- epoch: 16, iter: 10, loss=2.7238, pixel_accu=0.8661, p_iou=0.6068, p_recall=0.6221, p_precision=0.9611, p_F1=0.7553
- epoch: 16, iter: 15, loss=2.0829, pixel_accu=0.9049, p_iou=0.5920, p_recall=0.6611, p_precision=0.8500, p_F1=0.7437
- epoch: 16, iter: 20, loss=1.5871, pixel_accu=0.9406, p_iou=0.5130, p_recall=0.6439, p_precision=0.7162, p_F1=0.6781
- epoch: 16, iter: 25, loss=1.4476, pixel_accu=0.9451, p_iou=0.7005, p_recall=0.7228, p_precision=0.9579, p_F1=0.8239
- epoch: 16, iter: 30, loss=1.3427, pixel_accu=0.9568, p_iou=0.6543, p_recall=0.7979, p_precision=0.7843, p_F1=0.7910
- epoch: 16, iter: 35, loss=1.7273, pixel_accu=0.9338, p_iou=0.6651, p_recall=0.8014, p_precision=0.7964, p_F1=0.7989
- epoch: 16, iter: 40, loss=1.4867, pixel_accu=0.9453, p_iou=0.5222, p_recall=0.8047, p_precision=0.5980, p_F1=0.6861
- epoch: 16, iter: 45, loss=2.4636, pixel_accu=0.8666, p_iou=0.6308, p_recall=0.6899, p_precision=0.8804, p_F1=0.7736
- epoch: 16, iter: 50, loss=2.9322, pixel_accu=0.8491, p_iou=0.6723, p_recall=0.7041, p_precision=0.9370, p_F1=0.8040
- epoch: 16, iter: 55, loss=1.6598, pixel_accu=0.9277, p_iou=0.5422, p_recall=0.8898, p_precision=0.5812, p_F1=0.7031
- epoch: 16, iter: 60, loss=2.2118, pixel_accu=0.8794, p_iou=0.6368, p_recall=0.7393, p_precision=0.8211, p_F1=0.7781
- epoch: 16, iter: 65, loss=2.3595, pixel_accu=0.8245, p_iou=0.4288, p_recall=0.4622, p_precision=0.8557, p_F1=0.6002
- epoch: 16, iter: 70, loss=1.8725, pixel_accu=0.9245, p_iou=0.6731, p_recall=0.8594, p_precision=0.7563, p_F1=0.8046
- epoch: 16, iter: 75, loss=2.0238, pixel_accu=0.8872, p_iou=0.4187, p_recall=0.4266, p_precision=0.9576, p_F1=0.5903
- epoch: 16, iter: 80, loss=1.3448, pixel_accu=0.9513, p_iou=0.6075, p_recall=0.8071, p_precision=0.7106, p_F1=0.7558
- epoch: 16, iter: 85, loss=1.5899, pixel_accu=0.9331, p_iou=0.6140, p_recall=0.8877, p_precision=0.6657, p_F1=0.7608
- epoch: 16, iter: 90, loss=2.1107, pixel_accu=0.9016, p_iou=0.6650, p_recall=0.7417, p_precision=0.8654, p_F1=0.7988
- epoch: 16, iter: 95, loss=1.4044, pixel_accu=0.9756, p_iou=0.4773, p_recall=0.6636, p_precision=0.6296, p_F1=0.6462
- epoch: 16, iter:100, loss=2.2451, pixel_accu=0.8898, p_iou=0.6107, p_recall=0.6342, p_precision=0.9429, p_F1=0.7583
- epoch: 16, iter:105, loss=3.0381, pixel_accu=0.8070, p_iou=0.4831, p_recall=0.6296, p_precision=0.6750, p_F1=0.6515
- epoch: 16, iter:110, loss=2.0125, pixel_accu=0.8963, p_iou=0.5807, p_recall=0.7630, p_precision=0.7086, p_F1=0.7348
- epoch: 16, iter:115, loss=2.1998, pixel_accu=0.8774, p_iou=0.7180, p_recall=0.8548, p_precision=0.8177, p_F1=0.8359
- epoch: 16, iter:120, loss=2.2119, pixel_accu=0.9472, p_iou=0.4336, p_recall=0.5990, p_precision=0.6110, p_F1=0.6050
- epoch: 16, iter:125, loss=1.8934, pixel_accu=0.8809, p_iou=0.5694, p_recall=0.7716, p_precision=0.6848, p_F1=0.7256
- epoch: 16, iter:130, loss=1.1357, pixel_accu=0.9624, p_iou=0.6253, p_recall=0.7469, p_precision=0.7935, p_F1=0.7695
- epoch: 16, iter:135, loss=2.1901, pixel_accu=0.9099, p_iou=0.6064, p_recall=0.7468, p_precision=0.7634, p_F1=0.7550
- epoch: 16, iter:140, loss=2.3387, pixel_accu=0.9387, p_iou=0.5652, p_recall=0.8113, p_precision=0.6507, p_F1=0.7222
- epoch: 16, iter:145, loss=2.5720, pixel_accu=0.6593, p_iou=0.3034, p_recall=0.5784, p_precision=0.3896, p_F1=0.4656
- epoch: 16, iter:150, loss=1.4380, pixel_accu=0.9523, p_iou=0.6800, p_recall=0.8411, p_precision=0.7802, p_F1=0.8095
- epoch: 16, iter:155, loss=2.0561, pixel_accu=0.8874, p_iou=0.5728, p_recall=0.6801, p_precision=0.7840, p_F1=0.7284
- epoch: 16, iter:160, loss=1.1799, pixel_accu=0.9706, p_iou=0.6532, p_recall=0.8239, p_precision=0.7592, p_F1=0.7902
- epoch: 16, iter:165, loss=1.1991, pixel_accu=0.9806, p_iou=0.4825, p_recall=0.6468, p_precision=0.6550, p_F1=0.6509
- epoch: 16, iter:170, loss=2.7306, pixel_accu=0.8540, p_iou=0.5722, p_recall=0.6565, p_precision=0.8167, p_F1=0.7279
- epoch: 16, iter:175, loss=2.8057, pixel_accu=0.8732, p_iou=0.5782, p_recall=0.6186, p_precision=0.8984, p_F1=0.7327
- epoch: 16, iter:180, loss=1.6355, pixel_accu=0.9401, p_iou=0.6717, p_recall=0.9503, p_precision=0.6961, p_F1=0.8036
- epoch: 16, iter:185, loss=2.7851, pixel_accu=0.9044, p_iou=0.4825, p_recall=0.6384, p_precision=0.6641, p_F1=0.6510
- epoch: 16, iter:190, loss=2.1664, pixel_accu=0.8875, p_iou=0.6142, p_recall=0.7016, p_precision=0.8313, p_F1=0.7610
- 2021-11-30 12:41 => Train Avg: Loss 1.9235 Loss_CE 0.7862 Loss_var -1.0000 Pixel_Accu 0.9160
- pixel_IoU 0.5701 pixel_Recall 0.7379 pixel_Precision 0.7348 pixel_F1 0.7220
- epoch = 16, cp_flag = 1
- 2021-11-30 12:41 Epoch: [18/300]
- epoch: 17, iter: 0, loss=1.3445, pixel_accu=0.9634, p_iou=0.6139, p_recall=0.7513, p_precision=0.7704, p_F1=0.7607
- epoch: 17, iter: 5, loss=1.6432, pixel_accu=0.9252, p_iou=0.5558, p_recall=0.6617, p_precision=0.7764, p_F1=0.7145
- epoch: 17, iter: 10, loss=1.5759, pixel_accu=0.9422, p_iou=0.4635, p_recall=0.7561, p_precision=0.5449, p_F1=0.6334
- epoch: 17, iter: 15, loss=1.4523, pixel_accu=0.9475, p_iou=0.6222, p_recall=0.7855, p_precision=0.7496, p_F1=0.7671
- epoch: 17, iter: 20, loss=1.6991, pixel_accu=0.9187, p_iou=0.5236, p_recall=0.6891, p_precision=0.6855, p_F1=0.6873
- epoch: 17, iter: 25, loss=1.8464, pixel_accu=0.9207, p_iou=0.5632, p_recall=0.8561, p_precision=0.6221, p_F1=0.7206
- epoch: 17, iter: 30, loss=1.4540, pixel_accu=0.9405, p_iou=0.6563, p_recall=0.6809, p_precision=0.9479, p_F1=0.7925
- epoch: 17, iter: 35, loss=2.1084, pixel_accu=0.8634, p_iou=0.5805, p_recall=0.7163, p_precision=0.7538, p_F1=0.7346
- epoch: 17, iter: 40, loss=1.2489, pixel_accu=0.9610, p_iou=0.6329, p_recall=0.8402, p_precision=0.7195, p_F1=0.7752
- epoch: 17, iter: 45, loss=1.3209, pixel_accu=0.9442, p_iou=0.6219, p_recall=0.6667, p_precision=0.9024, p_F1=0.7669
- epoch: 17, iter: 50, loss=2.8711, pixel_accu=0.8552, p_iou=0.6028, p_recall=0.6298, p_precision=0.9336, p_F1=0.7522
- epoch: 17, iter: 55, loss=1.8171, pixel_accu=0.9243, p_iou=0.6399, p_recall=0.7961, p_precision=0.7654, p_F1=0.7804
- epoch: 17, iter: 60, loss=2.4434, pixel_accu=0.8635, p_iou=0.6633, p_recall=0.8025, p_precision=0.7927, p_F1=0.7976
- epoch: 17, iter: 65, loss=1.4129, pixel_accu=0.9412, p_iou=0.6938, p_recall=0.8038, p_precision=0.8353, p_F1=0.8193
- epoch: 17, iter: 70, loss=2.0962, pixel_accu=0.8854, p_iou=0.6403, p_recall=0.8727, p_precision=0.7062, p_F1=0.7807
- epoch: 17, iter: 75, loss=2.1303, pixel_accu=0.9071, p_iou=0.6633, p_recall=0.7077, p_precision=0.9137, p_F1=0.7976
- epoch: 17, iter: 80, loss=1.6733, pixel_accu=0.9331, p_iou=0.5483, p_recall=0.8442, p_precision=0.6100, p_F1=0.7082
- epoch: 17, iter: 85, loss=1.3808, pixel_accu=0.9458, p_iou=0.6504, p_recall=0.8239, p_precision=0.7554, p_F1=0.7882
- epoch: 17, iter: 90, loss=1.7625, pixel_accu=0.9310, p_iou=0.4888, p_recall=0.6612, p_precision=0.6521, p_F1=0.6566
- epoch: 17, iter: 95, loss=3.0803, pixel_accu=0.9119, p_iou=0.4548, p_recall=0.6142, p_precision=0.6367, p_F1=0.6253
- epoch: 17, iter:100, loss=1.5901, pixel_accu=0.9699, p_iou=0.4069, p_recall=0.6256, p_precision=0.5378, p_F1=0.5784
- epoch: 17, iter:105, loss=2.1867, pixel_accu=0.9087, p_iou=0.5030, p_recall=0.7014, p_precision=0.6401, p_F1=0.6693
- epoch: 17, iter:110, loss=2.5817, pixel_accu=0.8566, p_iou=0.6050, p_recall=0.7200, p_precision=0.7911, p_F1=0.7539
- epoch: 17, iter:115, loss=2.1792, pixel_accu=0.8883, p_iou=0.6543, p_recall=0.7356, p_precision=0.8555, p_F1=0.7910
- epoch: 17, iter:120, loss=1.7310, pixel_accu=0.9144, p_iou=0.5918, p_recall=0.6573, p_precision=0.8559, p_F1=0.7436
- epoch: 17, iter:125, loss=2.6792, pixel_accu=0.9187, p_iou=0.5694, p_recall=0.7418, p_precision=0.7101, p_F1=0.7256
- epoch: 17, iter:130, loss=1.5756, pixel_accu=0.9643, p_iou=0.5569, p_recall=0.6775, p_precision=0.7578, p_F1=0.7154
- epoch: 17, iter:135, loss=1.1356, pixel_accu=0.9629, p_iou=0.6753, p_recall=0.7663, p_precision=0.8504, p_F1=0.8062
- epoch: 17, iter:140, loss=1.2251, pixel_accu=0.9685, p_iou=0.5890, p_recall=0.7641, p_precision=0.7199, p_F1=0.7414
- epoch: 17, iter:145, loss=1.5371, pixel_accu=0.9288, p_iou=0.6479, p_recall=0.8560, p_precision=0.7271, p_F1=0.7863
- epoch: 17, iter:150, loss=1.2382, pixel_accu=0.9703, p_iou=0.7372, p_recall=0.9477, p_precision=0.7684, p_F1=0.8487
- epoch: 17, iter:155, loss=1.8418, pixel_accu=0.9005, p_iou=0.5165, p_recall=0.6954, p_precision=0.6676, p_F1=0.6812
- epoch: 17, iter:160, loss=1.6975, pixel_accu=0.9331, p_iou=0.5217, p_recall=0.6346, p_precision=0.7457, p_F1=0.6857
- epoch: 17, iter:165, loss=1.6872, pixel_accu=0.9312, p_iou=0.5644, p_recall=0.6758, p_precision=0.7740, p_F1=0.7216
- epoch: 17, iter:170, loss=1.9613, pixel_accu=0.8696, p_iou=0.4781, p_recall=0.6476, p_precision=0.6463, p_F1=0.6469
- epoch: 17, iter:175, loss=1.2778, pixel_accu=0.9653, p_iou=0.6394, p_recall=0.8333, p_precision=0.7333, p_F1=0.7801
- epoch: 17, iter:180, loss=1.8803, pixel_accu=0.9483, p_iou=0.4226, p_recall=0.6140, p_precision=0.5754, p_F1=0.5941
- epoch: 17, iter:185, loss=2.3890, pixel_accu=0.9415, p_iou=0.3222, p_recall=0.6304, p_precision=0.3973, p_F1=0.4874
- epoch: 17, iter:190, loss=2.2246, pixel_accu=0.9077, p_iou=0.7479, p_recall=0.8622, p_precision=0.8494, p_F1=0.8557
- 2021-11-30 12:42 => Train Avg: Loss 1.8672 Loss_CE 0.7568 Loss_var -1.0000 Pixel_Accu 0.9203
- pixel_IoU 0.5767 pixel_Recall 0.7350 pixel_Precision 0.7457 pixel_F1 0.7272
- 2021-11-30 12:42 Epoch: [19/300]
- epoch: 18, iter: 0, loss=1.7359, pixel_accu=0.9493, p_iou=0.5184, p_recall=0.7562, p_precision=0.6224, p_F1=0.6828
- epoch: 18, iter: 5, loss=1.6241, pixel_accu=0.9375, p_iou=0.6758, p_recall=0.8532, p_precision=0.7646, p_F1=0.8065
- epoch: 18, iter: 10, loss=1.7518, pixel_accu=0.9492, p_iou=0.5888, p_recall=0.7541, p_precision=0.7287, p_F1=0.7412
- epoch: 18, iter: 15, loss=2.0675, pixel_accu=0.8871, p_iou=0.6122, p_recall=0.7026, p_precision=0.8264, p_F1=0.7595
- epoch: 18, iter: 20, loss=0.9063, pixel_accu=0.9785, p_iou=0.7209, p_recall=0.7547, p_precision=0.9416, p_F1=0.8378
- epoch: 18, iter: 25, loss=1.7262, pixel_accu=0.9557, p_iou=0.4704, p_recall=0.5144, p_precision=0.8462, p_F1=0.6398
- epoch: 18, iter: 30, loss=3.7857, pixel_accu=0.7545, p_iou=0.5046, p_recall=0.5063, p_precision=0.9933, p_F1=0.6707
- epoch: 18, iter: 35, loss=1.9907, pixel_accu=0.8986, p_iou=0.5682, p_recall=0.8958, p_precision=0.6085, p_F1=0.7247
- epoch: 18, iter: 40, loss=1.8730, pixel_accu=0.9115, p_iou=0.6575, p_recall=0.8750, p_precision=0.7257, p_F1=0.7934
- epoch: 18, iter: 45, loss=3.1601, pixel_accu=0.8006, p_iou=0.5167, p_recall=0.5697, p_precision=0.8475, p_F1=0.6814
- epoch: 18, iter: 50, loss=2.6217, pixel_accu=0.8487, p_iou=0.3496, p_recall=0.3530, p_precision=0.9733, p_F1=0.5181
- epoch: 18, iter: 55, loss=1.4659, pixel_accu=0.9376, p_iou=0.6344, p_recall=0.6843, p_precision=0.8970, p_F1=0.7763
- epoch: 18, iter: 60, loss=2.7475, pixel_accu=0.8997, p_iou=0.3617, p_recall=0.6722, p_precision=0.4392, p_F1=0.5312
- epoch: 18, iter: 65, loss=2.2044, pixel_accu=0.9341, p_iou=0.5444, p_recall=0.7641, p_precision=0.6543, p_F1=0.7050
- epoch: 18, iter: 70, loss=2.1200, pixel_accu=0.8732, p_iou=0.6706, p_recall=0.7064, p_precision=0.9297, p_F1=0.8028
- epoch: 18, iter: 75, loss=1.8411, pixel_accu=0.8958, p_iou=0.5566, p_recall=0.7872, p_precision=0.6552, p_F1=0.7152
- epoch: 18, iter: 80, loss=2.1463, pixel_accu=0.8747, p_iou=0.2549, p_recall=0.9301, p_precision=0.2599, p_F1=0.4062
- epoch: 18, iter: 85, loss=1.1743, pixel_accu=0.9639, p_iou=0.7187, p_recall=0.7531, p_precision=0.9402, p_F1=0.8363
- epoch: 18, iter: 90, loss=1.8422, pixel_accu=0.9269, p_iou=0.5536, p_recall=0.5791, p_precision=0.9263, p_F1=0.7126
- epoch: 18, iter: 95, loss=2.9100, pixel_accu=0.8635, p_iou=0.6281, p_recall=0.6872, p_precision=0.8796, p_F1=0.7716
- epoch: 18, iter:100, loss=2.1121, pixel_accu=0.8991, p_iou=0.6295, p_recall=0.8024, p_precision=0.7450, p_F1=0.7726
- epoch: 18, iter:105, loss=2.2369, pixel_accu=0.8946, p_iou=0.6147, p_recall=0.8379, p_precision=0.6976, p_F1=0.7614
- epoch: 18, iter:110, loss=1.8513, pixel_accu=0.9316, p_iou=0.2327, p_recall=0.7444, p_precision=0.2529, p_F1=0.3775
- epoch: 18, iter:115, loss=1.5620, pixel_accu=0.9610, p_iou=0.5445, p_recall=0.7835, p_precision=0.6409, p_F1=0.7051
- epoch: 18, iter:120, loss=1.6735, pixel_accu=0.9294, p_iou=0.4976, p_recall=0.5669, p_precision=0.8027, p_F1=0.6645
- ^CTraceback (most recent call last):
- File "/tmp/pycharm_hannet_i7/train.py", line 520, in <module>
- main()
- File "/tmp/pycharm_hannet_i7/train.py", line 332, in main
- accuracy_tensor=accuracy_tensor)
- File "/tmp/pycharm_hannet_i7/train_util.py", line 223, in train
- loss.cuda().backward()
- File "/userhome/anaconda3/envs/cdnet/lib/python3.6/site-packages/torch/tensor.py", line 118, in backward
- torch.autograd.backward(self, gradient, retain_graph, create_graph)
- File "/userhome/anaconda3/envs/cdnet/lib/python3.6/site-packages/torch/autograd/__init__.py", line 93, in backward
- allow_unreachable=True) # allow_unreachable flag
- KeyboardInterrupt
-
- Process finished with exit code 1
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