2020-12-22 16:32:05 Epoch 0 Loss: 1.8191 Recall: 13.3333%
2020-12-22 16:32:28 Epoch 0 Loss: 1.8422 Recall: 16.4124%
2020-12-22 17:32:20 Epoch 0 Loss: 1.8607 Recall: 13.3333%
2020-12-22 17:32:54 Epoch 0 Loss: 1.8403 Recall: 23.3333%
2020-12-22 17:33:02 Epoch 1 Loss: 1.8172 Recall: 23.3333%
2020-12-22 17:33:09 Epoch 2 Loss: 1.8259 Recall: 16.6667%
2020-12-22 17:33:16 Epoch 3 Loss: 1.8207 Recall: 10.0000%
2020-12-22 17:33:23 Epoch 4 Loss: 1.8276 Recall: 10.0000%
2020-12-22 17:33:30 Epoch 5 Loss: 1.8100 Recall: 23.3333%
2020-12-22 17:40:52 Epoch 0 Loss: 1.8435 Recall: 20.0000%
2020-12-22 17:41:01 Epoch 1 Loss: 1.8119 Recall: 16.6667%
2020-12-22 17:41:08 Epoch 2 Loss: 1.8136 Recall: 13.3333%
2020-12-22 17:41:15 Epoch 3 Loss: 1.8420 Recall: 20.0000%
2020-12-22 17:41:22 Epoch 4 Loss: 1.8338 Recall: 16.6667%
2020-12-22 17:41:29 Epoch 5 Loss: 1.8362 Recall: 13.3333%
2020-12-22 17:41:36 Epoch 6 Loss: 1.8330 Recall: 13.3333%
2020-12-22 17:41:43 Epoch 7 Loss: 1.8325 Recall: 6.6667%
2020-12-22 17:41:49 Epoch 8 Loss: 1.8281 Recall: 16.6667%
2020-12-22 17:41:56 Epoch 9 Loss: 1.8093 Recall: 13.3333%
2020-12-22 17:42:04 Epoch 10 Loss: 1.8291 Recall: 23.3333%
2020-12-22 17:42:10 Epoch 11 Loss: 1.8269 Recall: 23.3333%
2020-12-22 17:42:17 Epoch 12 Loss: 1.8172 Recall: 20.0000%
2020-12-22 17:52:11 Epoch 0 Loss: 1.8356 Recall: 16.6667%
基于Pytorch1.7的YOLOV3实现，学习如何使用深度学习框架完成一个目标检测模型的建立、训练和测试.zip （27个子文件） 
YOLOV3-Pytorch--master 
yolo_par.ini 539B data coco.names 624B utils __init__.py 0B model_utils.py 12KB preprocess.py 3KB default_config.py 2KB cfg_reader.py 1KB __pycache__ cfg_reader.cpython-38.pyc 880B __init__.cpython-38.pyc 153B dataset __init__.py 349B load_from_txt.py 3KB .idea myYOLOV3.iml 284B vcs.xml 180B misc.xml 190B inspectionProfiles Project_Default.xml 1KB profiles_settings.xml 174B modules.xml 268B .gitignore 244B model __init__.py 349B layers.py 4KB darknet53.py 4KB test __init__.py 313B model_test_darknet53.py 1KB utils_test_cfg_reader.py 414B
record.txt 1KB script __init__.py 348B main.py 8KB资源评论
