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restore lost commit and add escape symbol (#2516)
* restore lost commit and add escape symbol * phrazing 1 * phrazing 2 * prhazing 3 Co-authored-by: Pankratova <[email protected]>
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demos/action_recognition_demo/python/README.md

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-lb <omz_idr>/demos/action_recognition_demo/python/driver_actions.txt
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```
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/colorization_demo/python/README.md

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-m <path_to_model>/colorization-v2.xml
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```
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/crossroad_camera_demo/cpp/README.md

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> * the model `person-vehicle-bike-detection-crossroad-0078` returns for persons the category index 1, it is the default value for the demo
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> * the model `person-vehicle-bike-detection-crossroad-1016` returns for persons the category index 2, so for the demo to work correctly, the command line parameter `-person_label 2` should be added.
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/deblurring_demo/python/README.md

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Optional. List of monitors to show initially.
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```
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When a single image is applied as an input, the demo processes and renders it quickly, then exits. To continuously visualize processed results on the screen, apply the `loop` option, which enforces looping over processing a single image.
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Running the application with the empty list of options yields the usage message given above and an error message.
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You can use the following command to do inference on CPU on images captured by a camera using a pre-trained deblurgan-v2 network:
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python3 deblurring_demo.py -i 0 -d CPU -m <path_to_model>/deblurgan-v2.xml
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```
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/face_detection_mtcnn_demo/python/README.md

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-th 0.7
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```
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/face_recognition_demo/python/README.md

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-fg "C:/face_gallery"
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```
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo output
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demos/gaze_estimation_demo/cpp/README.md

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* F - to flip frames horizontally
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* Esc - to quit the demo
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. Run the script with Administrative privileges. Alternatively, you can save results as images.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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demos/gaze_estimation_demo/cpp_gapi/README.md

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* F - to flip frames horizontally
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* Esc - to quit the demo
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the -o option:
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>**NOTE**: If you provide a single image as an input, the demo processes and renders it quickly, then exits. To continuously visualize inference results on the screen, apply the `loop` option, which enforces processing a single image in a loop.
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* To save processed results in an AVI file, specify the name of the output file with avi extension, for example: -o output.avi.
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* To save processed results as images, specify the template name of the output image file with jpg or png extension, for example: -o output_%03d.jpg. The actual file names are constructed from the template at runtime by replacing regular expression %03d with the frame number, resulting in the following: output_000.jpg, output_001.jpg, and so on. To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the limit option. The default value is 1000. To change it, you can apply the -limit N option, where N is the number of frames to store.
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You can save processed results to a Motion JPEG AVI file or separate JPEG or PNG files using the `-o` option:
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> **NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, OpenCV FFMPEG backend can be downloaded by the PowerShell script provided with the OpenVINO install package and located at <INSTALL_DIR>/opencv/ffmpeg-download.ps1. Run the script with Administrative privileges. Alternatively, you can save results as images.
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* To save processed results in an AVI file, specify the name of the output file with `avi` extension, for example: `-o output.avi`.
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* To save processed results as images, specify the template name of the output image file with `jpg` or `png` extension, for example: `-o output_%03d.jpg`. The actual file names are constructed from the template at runtime by replacing regular expression `%03d` with the frame number, resulting in the following: `output_000.jpg`, `output_001.jpg`, and so on.
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To avoid disk space overrun in case of continuous input stream, like camera, you can limit the amount of data stored in the output file(s) with the `limit` option. The default value is 1000. To change it, you can apply the `-limit N` option, where `N` is the number of frames to store.
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>**NOTE**: Windows\* systems may not have the Motion JPEG codec installed by default. If this is the case, you can download OpenCV FFMPEG back end using the PowerShell script provided with the OpenVINO &trade; install package and located at `<INSTALL_DIR>/opencv/ffmpeg-download.ps1`. The script should be run with administrative privileges if OpenVINO &trade; is installed in a system protected folder (this is a typical case). Alternatively, you can save results as images.
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## Demo Output
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