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46 lines
2.1 KiB
Markdown
46 lines
2.1 KiB
Markdown
---
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title: Images Reporting
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---
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The [image_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/image_reporting.py) example
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demonstrates reporting (uploading) images in several formats, including:
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* NumPy arrays
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* uint8
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* uint8 RGB
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* PIL Image objects
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* Local files.
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**ClearML** uploads images to the bucket specified in the **ClearML** configuration file, or **ClearML** can be configured
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for image storage, see [Logger.set_default_upload_destination](../../references/sdk/logger.md#set_default_upload_destination)
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(storage for [artifacts](../../fundamentals/artifacts.md#setting-upload-destination) is different). Set credentials for
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storage in the **ClearML** configuration file.
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When the script runs, it creates an experiment named `image reporting`, which is associated with the `examples` project.
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Report images using several formats by calling the [Logger.report_image](../../references/sdk/logger.md#report_image)
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method:
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# report image as float image
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m = np.eye(256, 256, dtype=np.float)
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Logger.current_logger().report_image("image", "image float", iteration=iteration, image=m)
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# report image as uint8
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m = np.eye(256, 256, dtype=np.uint8) * 255
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Logger.current_logger().report_image("image", "image uint8", iteration=iteration, image=m)
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# report image as uint8 RGB
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m = np.concatenate((np.atleast_3d(m), np.zeros((256, 256, 2), dtype=np.uint8)), axis=2)
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Logger.current_logger().report_image("image", "image color red", iteration=iteration, image=m)
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# report PIL Image object
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image_open = Image.open(os.path.join("data_samples", "picasso.jpg"))
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Logger.current_logger().report_image("image", "image PIL", iteration=iteration, image=image_open)
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**ClearML** reports these images as debug samples in the **ClearML Web UI** **>** experiment details **>** **RESULTS** tab
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**>** **DEBUG SAMPLES** sub-tab.
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Double click a thumbnail and the image viewer opens.
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