Pointnet_Pointnet2_pytorch
Pointnet_Pointnet2_pytorch copied to clipboard
Why my Classification modelnet40 get so low accuracy,請問為何我的分類正確率特別低?
2023-01-19 22:17:58,794 - Model - INFO - PARAMETER ... 2023-01-19 22:17:58,794 - Model - INFO - Namespace(batch_size=24, decay_rate=0.0001, epoch=200, gpu='0', learning_rate=0.001, log_dir='pointnet2_cls_ssg2', model='pointnet2_cls_ssg', num_category=40, num_point=1024, optimizer='Adam', process_data=False, use_cpu=False, use_normals=False, use_uniform_sample=False) 2023-01-19 22:17:58,794 - Model - INFO - Load dataset ... 2023-01-19 22:37:44,447 - Model - INFO - No existing model, starting training from scratch... 2023-01-19 22:37:44,448 - Model - INFO - Start training... 2023-01-19 22:37:44,448 - Model - INFO - Epoch 1 (1/200): 2023-01-19 22:54:20,687 - Model - INFO - Train Instance Accuracy: 0.078354 2023-01-19 22:54:55,380 - Model - INFO - Test Instance Accuracy: 0.000000, Class Accuracy: 0.000000 2023-01-19 22:54:55,380 - Model - INFO - Best Instance Accuracy: 0.000000, Class Accuracy: 0.000000 2023-01-19 22:54:55,380 - Model - INFO - Save model... 2023-01-19 22:54:55,380 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 22:54:55,427 - Model - INFO - Epoch 2 (2/200): 2023-01-19 22:57:17,406 - Model - INFO - Train Instance Accuracy: 0.086484 2023-01-19 22:57:50,877 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 22:57:50,879 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 22:57:50,879 - Model - INFO - Save model... 2023-01-19 22:57:50,879 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 22:57:50,930 - Model - INFO - Epoch 3 (3/200): 2023-01-19 23:00:08,223 - Model - INFO - Train Instance Accuracy: 0.086585 2023-01-19 23:00:41,749 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:00:41,749 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:00:41,750 - Model - INFO - Save model... 2023-01-19 23:00:41,750 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 23:00:41,790 - Model - INFO - Epoch 4 (4/200): 2023-01-19 23:03:01,451 - Model - INFO - Train Instance Accuracy: 0.087093 2023-01-19 23:03:34,224 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:03:34,224 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:03:34,224 - Model - INFO - Save model... 2023-01-19 23:03:34,224 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 23:03:34,263 - Model - INFO - Epoch 5 (5/200): 2023-01-19 23:05:59,614 - Model - INFO - Train Instance Accuracy: 0.088821 2023-01-19 23:06:36,431 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:06:36,431 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:06:36,432 - Model - INFO - Save model... 2023-01-19 23:06:36,432 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 23:06:36,467 - Model - INFO - Epoch 6 (6/200): 2023-01-19 23:09:09,582 - Model - INFO - Train Instance Accuracy: 0.087398 2023-01-19 23:09:45,079 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:09:45,079 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:09:45,079 - Model - INFO - Save model... 2023-01-19 23:09:45,079 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-19 23:09:45,111 - Model - INFO - Epoch 7 (7/200): 2023-01-19 23:12:00,355 - Model - INFO - Train Instance Accuracy: 0.088516 2023-01-19 23:12:33,710 - Model - INFO - Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:12:33,710 - Model - INFO - Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000 2023-01-19 23:12:33,711 - Model - INFO - Save model... 2023-01-19 23:12:33,711 - Model - INFO - Saving at log\classification\pointnet2_cls_ssg2\checkpoints/best_model.pth 2023-01-20 09:27:24,303 - Model - INFO - Epoch 99 (99/200): Train Instance Accuracy: 0.794715 Test Instance Accuracy: 0.040453, Class Accuracy: 0.025000 Best Instance Accuracy: 0.040453, Class Accuracy: 0.025000
when i train to 99 epoch ,my accuracy still very low .What did I do wrong or what do I need to improve?I am truly grateful for someone tell me.Thank you
Hi, I have the same issue as you. Have you figured it out?
Hi, I have the same issue as you. Have you figured it out?
I choose another github to train my own data to achieve classfication 3D model https://github.com/zhulf0804/Pointnet2.PyTorch hope this github can help you
我是在Windows平台上出现了这样的情况,我在乌班图系统上没有出现这种情况
Hi, I have the same problem as you. Have you figured it out?
I chose another github to train my own data to achieve a classified 3D model https://github.com/zhulf0804/Pointnet2.PyTorch hope this github can help you Is this problem solved on the win system now?
same problem occurred, is it due to the windows OS?
Met the same problem on Windows 11. Does anyone know where the problem is?
same problem. I also used the windows os.
the same problem!
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same problem. I also used the windows os. 你好,贝壳校友。 the same problem.
Hi, I have the same issue as you. Have you figured it out?
I choose another github to train my own data to achieve classfication 3D model https://github.com/zhulf0804/Pointnet2.PyTorch hope this github can help you
hi, how many minutes dose the training process take? And what is your GPU?