[LEADERG AI ZOO] Jupyter-Image-Ganomaly

Language:

繁體中文

 

 

 

[Introduction]

 

 

Use Ganomaly for image anomaly detection.

 

 

 

[Instructions]

 

 

1. 1_visdom.ipynb

Start the visdom server.

 

 

2. 2_train.ipynb

Perform training.

 

 

Set the parameters parameter:

• isize: input image size

• niter: number of training iterations

• batchsize: the size of the batch

• nz: the dimension of the z vector

• lr: learning rate

 

 

After the setting is completed, it can be executed.

 

 

3. 3_test_to_find_threshold.ipynb

Test the model and find anomaly thresholds.

 

 

Set the parameters:

• isize: input image size

• batchsize: the size of the batch

 

 

After the setting is completed, it can be executed.

After execution, the anomaly threshold value can be obtained.

 

 

4. 4_inference.ipynb

Perform inference.

 

 

Set the parameters:

• isize: input image size

• batchsize: the size of the batch

• image_file: inferenced image

• an_threshold: anomaly threshold

 

 

After the setting is completed, it can be executed.

After execution, you can know whether the inferenced image is anomaly.

 

 

Jupyter-Image-Ganomaly-inference.png


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