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57 lines
2.0 KiB
Markdown
57 lines
2.0 KiB
Markdown
---
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title: Image 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](../../configs/clearml_conf.md),
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or ClearML can be configured for image storage, see [`Logger.set_default_upload_destination()`](../../references/sdk/logger.md#set_default_upload_destination)
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(storage for [artifacts](../../clearml_sdk/task_sdk.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` in the `examples` project.
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Report images using several formats by calling [`Logger.report_image()`](../../references/sdk/logger.md#report_image):
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```python
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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(
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"image",
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"image color red",
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iteration=iteration,
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image=m
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)
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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(
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"image",
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"image PIL",
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iteration=iteration,
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image=image_open
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)
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```
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ClearML reports these images as debug samples in the **ClearML Web UI**, under the experiment's
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**DEBUG SAMPLES** tab.
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Click a thumbnail to open the image viewer.
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