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Argument | Type | Default | Description |
---|---|---|---|
show |
bool |
False |
If True , displays the annotated images or videos in a window. Useful for immediate visual feedback during development or testing. |
save |
bool |
False or True |
Enables saving of the annotated images or videos to file. Useful for documentation, further analysis, or sharing results. Defaults to True when using CLI & False when used in Python. |
save_frames |
bool |
False |
When processing videos, saves individual frames as images. Useful for extracting specific frames or for detailed frame-by-frame analysis. |
save_txt |
bool |
False |
Saves detection results in a text file, following the format [class] [x_center] [y_center] [width] [height] [confidence] . Useful for integration with other analysis tools. |
save_conf |
bool |
False |
Includes confidence scores in the saved text files. Enhances the detail available for post-processing and analysis. |
save_crop |
bool |
False |
Saves cropped images of detections. Useful for dataset augmentation, analysis, or creating focused datasets for specific objects. |
show_labels |
bool |
True |
Displays labels for each detection in the visual output. Provides immediate understanding of detected objects. |
show_conf |
bool |
True |
Displays the confidence score for each detection alongside the label. Gives insight into the model's certainty for each detection. |
show_boxes |
bool |
True |
Draws bounding boxes around detected objects. Essential for visual identification and location of objects in images or video frames. |
line_width |
None or int |
None |
Specifies the line width of bounding boxes. If None , the line width is automatically adjusted based on the image size. Provides visual customization for clarity. |
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
ultralytics is now integrated with your S3 compatible storage!
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