checkpoint要去哪邊下載 我之前是用這邊的https://drive.google.com/drive/u/0/folders/1FF83llo3a-mN5pJN8-_mw0hL5eZqe9fC

[henrychou1233]

FileNotFoundError: [Errno 2] No such file or directory: '/home/anywhere3090l/Desktop/henry/D3AD-master/checkpoints/VisA/pcb1/32_1928-1_diffusers_unet_300'

[JustinTebbe]

Currently we don't provide the weights, therefore you have to train a model on your own before you can run the evaluation.

As a guidance for the checkpoint epochs here are our settings for the best VisA results:

VisA_dict = {"candle": {"eta2": 8, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 50},
             "capsules": {"eta2": 7, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 200},
             "cashew": {"eta2": 8, "DA_epochs": 3, "DA_fine_tune": 1, "checkpoint_epochs": 100},
             "chewinggum": {"eta2": 10, "DA_epochs": 2, "DA_fine_tune": 1, "checkpoint_epochs": 150},
             "fryum": {"eta2": 7, "DA_epochs": 2, "DA_fine_tune": 1, "checkpoint_epochs": 200},
             "macaroni1": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 300},
             "macaroni2": {"eta2": 9, "DA_epochs": 3, "DA_fine_tune": 1, "checkpoint_epochs": 150},
             "pcb1": {"eta2": 10, "DA_epochs": 1, "DA_fine_tune": 1, "checkpoint_epochs": 250},
             "pcb2": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 300},
             "pcb3": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 250},
             "pcb4": {"eta2": 7, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 200},
             "pipe_fryum": {"eta2": 9, "DA_epochs": 1, "DA_fine_tune": 1, "checkpoint_epochs": 300}}

[henrychou1233]

data: DA_batch_size: 8 batch_size: 8 category: pcb1 data_dir: /home/anywhere3090l/Desktop/henry/D3AD-master/VisA image_size: 256 imput_channel: 4 manualseed: -1 mask: true name: VisA metrics: image_level_AUROC: true image_level_F1Score: true pixel_level_AUROC: true pixel_level_F1Score: true pro: true threshold: manual_image: null manual_pixel: null method: adaptive model: DA_epochs: 1 # nr. of fine tune epochs for fe DA_fine_tune: 1 DA_learning_rate: 1e-4 DA_rnd_step: true # pick noising level for DA according to uniform distribution dynamic_steps: true # Dynamic implicit conditioning KNN_metric: l1 anomap_excluded_layers: # excluded feature layers for anomaly map creation

• 0 anomap_weighting: 0.85 # weight for latent anomaly map attn_reso:
• 32
• 16
• 8
• 4 beta_end: 0.0195 beta_start: 0.0015 channel_mults:
• 1
• 2
• 2
• 4
• 4 consistency_decoder: 0 # consistency decoder for better image quality at the cost of additional runtime device: cuda distance_metric_eval: combined downscale_first: 1 # noiseless scaling ema: true ema_rate: 0.999 epochs: 20 eta: 0 # 0 corresponds to DDIM sampling and 1 to DDPM eta2: 4 # DDAD conditioning exp_name: default fe_backbone: resnet34 head_channel: -1 knn_k: 20 latent: true latent_backbone: VAE latent_size: 32 learning_rate: 1e-4 multi_gpu: false n_head: 8 noise: Gaussian noise_sampling: 0 # noise image or not num_workers: 30 optimizer: AdamW save_model: true schedule: linear seed: 42 selected_features: # selected layer for KNN search
• 1 skip: 8 # steps to skip during inference skip_DA: 8 # steps to skip during domain adaptation test_trajectoy_steps: 80 # maximum noising level test_trajectoy_steps_DA: 80 # maximum noising level for domain adaptation trajectory_steps: 1000 unet_channel: 192 visual_all: true # additional visual output of heatmaps weight_decay: 0.01

我可以直接把checkponts路徑刪掉嗎 FileNotFoundError: [Errno 2] No such file or directory: 'results/pcb1/pcb1sample0_8_save_all_clear_T_hat20.0_T_max80.png' 有出現error 該怎麼辦 謝謝您

On Tue, Jan 30, 2024 at 5:49 PM JustinTebbe @.***> wrote:

Currently we don't provide the weights, therefore you have to train a model on your own before you can run the evaluation.

As a guidance for the checkpoint epochs here are our settings for the best VisA results:

VisA_dict = {"candle": {"eta2": 8, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 50}, "capsules": {"eta2": 7, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 200}, "cashew": {"eta2": 8, "DA_epochs": 3, "DA_fine_tune": 1, "checkpoint_epochs": 100}, "chewinggum": {"eta2": 10, "DA_epochs": 2, "DA_fine_tune": 1, "checkpoint_epochs": 150}, "fryum": {"eta2": 7, "DA_epochs": 2, "DA_fine_tune": 1, "checkpoint_epochs": 200}, "macaroni1": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 300}, "macaroni2": {"eta2": 9, "DA_epochs": 3, "DA_fine_tune": 1, "checkpoint_epochs": 150}, "pcb1": {"eta2": 10, "DA_epochs": 1, "DA_fine_tune": 1, "checkpoint_epochs": 250}, "pcb2": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 300}, "pcb3": {"eta2": 10, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 250}, "pcb4": {"eta2": 7, "DA_epochs": 0, "DA_fine_tune": 1, "checkpoint_epochs": 200}, "pipe_fryum": {"eta2": 9, "DA_epochs": 1, "DA_fine_tune": 1, "checkpoint_epochs": 300}}

— Reply to this email directly, view it on GitHub https://github.com/JustinTebbe/D3AD/issues/1#issuecomment-1916455906, or unsubscribe https://github.com/notifications/unsubscribe-auth/BA6U57Q6D5UFFHUKPZWFDVDYRC6Y3AVCNFSM6AAAAABCQWMHYKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMJWGQ2TKOJQGY . You are receiving this because you authored the thread.Message ID: @.***>

[JustinTebbe]

I suspect that the folder structure is not properly set up and that the subfolder 'pcb1' is missing. You need to set it up manually like this:

results
|--- pcb1
|--- pcb2
|--- ...

[henrychou1233]

(base) @.***:~/Desktop/henry/D3AD-master$ python main.py Num params: 281088004 Current device is cuda Epoch 0 | Loss: 0.9991011619567871 training time on 1 epochs is 0:00:55.449689

Traceback (most recent call last): File "/home/anywhere3090l/Desktop/henry/D3AD-master/main.py", line 158, in execute_main_test() File "/home/anywhere3090l/Desktop/henry/D3AD-master/main.py", line 155, in execute_main_test evaluate(args) File "/home/anywhere3090l/Desktop/henry/D3AD-master/main.py", line 105, in evaluate unet.load_state_dict(checkpoint) File "/home/anywhere3090l/miniconda3/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2152, in load_state_dict raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for UNetModel: Missing key(s) in state_dict: "time_embedding.1.weight", "time_embedding.1.bias", "time_embedding.3.weight", "time_embedding.3.bias", "down.0.0.weight", "down.0.0.bias", "down.1.0.in_layers.0.weight", "down.1.0.in_layers.0.bias", "down.1.0.in_layers.2.weight", "down.1.0.in_layers.2.bias", "down.1.0.embed_layers.1.weight", "down.1.0.embed_layers.1.bias", 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"module.up.16.0.in_layers.2.weight", "module.up.16.0.in_layers.2.bias", "module.up.16.0.embed_layers.1.weight", "module.up.16.0.embed_layers.1.bias", "module.up.16.0.out_layers.0.weight", "module.up.16.0.out_layers.0.bias", "module.up.16.0.out_layers.3.weight", "module.up.16.0.out_layers.3.bias", "module.up.16.0.skip_connection.weight", "module.up.16.0.skip_connection.bias", "module.up.17.0.in_layers.0.weight", "module.up.17.0.in_layers.0.bias", "module.up.17.0.in_layers.2.weight", "module.up.17.0.in_layers.2.bias", "module.up.17.0.embed_layers.1.weight", "module.up.17.0.embed_layers.1.bias", "module.up.17.0.out_layers.0.weight", "module.up.17.0.out_layers.0.bias", "module.up.17.0.out_layers.3.weight", "module.up.17.0.out_layers.3.bias", "module.up.17.0.skip_connection.weight", "module.up.17.0.skip_connection.bias", "module.out.0.weight", "module.out.0.bias", "module.out.2.weight", "module.out.2.bias". 出現了這段錯誤 但下午用是可以的 有成功跑出來 如下

On Tue, Jan 30, 2024 at 6:36 PM JustinTebbe @.***> wrote:

I suspect that the folder structure is not properly set up and that the subfolder 'pcb1' is missing. You need to set it up manually like this:

results |--- pcb1 |--- pcb2 |--- ...

— Reply to this email directly, view it on GitHub https://github.com/JustinTebbe/D3AD/issues/1#issuecomment-1916551221, or unsubscribe https://github.com/notifications/unsubscribe-auth/BA6U57UOKHHCNJZPOVPH6MDYRDEJ5AVCNFSM6AAAAABCQWMHYKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMJWGU2TCMRSGE . You are receiving this because you authored the thread.Message ID: @.***>

[JustinTebbe]

Might be related to dataparallel, you could try to uncomment lines 98-104 in main.py and comment out line 105. So it should look like:

    else:
        #use commented out code when trained on multigpu but inference on single gpu
    new_state_dict = OrderedDict()

        for k, v in checkpoint.items():
            name = k[7:]  # remove `module.` prefix added by DataParallel
            new_state_dict[name] = v

        unet.load_state_dict(new_state_dict)
        #unet.load_state_dict(checkpoint)

[henrychou1233]

l:~/Desktop/henry/D3AD-ma (base) @.***:~/Desktop/henry/D3AD-master$ python main.py File "/home/anywhere3090l/Desktop/henry/D3AD-master/main.py", line 100 for k, v in checkpoint.items(): ^ IndentationError: unindent does not match any outer indentation level

On Tue, Jan 30, 2024 at 8:13 PM JustinTebbe @.***> wrote:

Might be related to dataparallel, you could try to uncomment lines 98-104 in main.py and comment out line 105. So it should look like:

else:
    #use commented out code when trained on multigpu but inference on single gpu

new_state_dict = OrderedDict()

    for k, v in checkpoint.items():
        name = k[7:]  # remove `module.` prefix added by DataParallel
        new_state_dict[name] = v

    unet.load_state_dict(new_state_dict)
  #unet.load_state_dict(checkpoint)

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[JustinTebbe]

Sounds like and indentation level error, likely introduced through copying or uncommenting. Please make sure that the indentation level is correct and refer to the original main.py file for the correct indentation