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.
This SDK is built in AppForAI - AI Dev Tools.
Purchase license separately: USD 600, permanent authorization, single APP authorization, single machine authorization, one-year activation, one-year download, one-year update, one-year email technical support.
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