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KavinKrishnanKavinKrishnan
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Remove developer names/aliases from notebooks and documentation
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-19
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‎notebooks/tutorials/04_mis_tutorial.ipynb

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"remote: Total 274 (delta 127), reused 213 (delta 90), pack-reused 0\u001b[K\n",
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"Receiving objects: 100% (274/274), 79.20 KiB | 705.00 KiB/s, done.\n",
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"Resolving deltas: 100% (127/127), done.\n",
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"/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n",
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"/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n",
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"\n",
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"Step 1/12 : FROM python:3.9-slim-buster\n",
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" ---> edd87973afe0\n",
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" ---> a6834eb5a23b\n",
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"Successfully built a6834eb5a23b\n",
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"Successfully tagged monai/inference-service:0.1\n",
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"/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials\n"
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"/monai-deploy-app-sdk/notebooks/tutorials\n"
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]
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}
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],
@@ -230,7 +230,7 @@
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"text": [
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"Downloading...\n",
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"From: https://drive.google.com/uc?id=12uNO1tyqZh1oFkZH41Osliey7TRm-BBG\n",
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"To: /home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n",
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"To: /monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n",
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"100%|██████████████████████████████████████| 9.18k/9.18k [00:00<00:00, 10.9MB/s]\n",
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"Archive: charts.zip\n",
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" inflating: charts/templates/monaiinferenceservice-deployment.yaml \n",
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"\n",
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"| Parameter | Value Description |\n",
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"| ----------- | ----------- |\n",
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"| `images.monaiInferenceServiceTag` | MONAI Inference Service image name (`pritishnahar/monai-deploy`) |\n",
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"| `images.monaiInferenceService` | MONAI Inference Service image tag (`inference-service-0.1`) |\n",
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"| `images.monaiInferenceService` | MONAI Inference Service image name (`monai/inference-service`) |\n",
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"| `images.monaiInferenceServiceTag` | MONAI Inference Service image tag (`0.1`) |\n",
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"| `payloadService.hostVolumePath` | Path to a local directory which will serve as a shared volume for payloads between MIS and its pods |\n",
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"| `map.urn` | Name:Tag of MAP image built with MONAI application packager |\n",
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"| `map.entrypoint` | Application entrypoint which can obtained from `app.json` |\n",
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"Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gupta/miniconda3/envs/monairsna/lib/python3.6/site-packages (from requests[socks]->gdown) (1.7.1)\n",
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"Downloading...\n",
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"From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
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"To: /data/Vikash/Tools/RSNA/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
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"To: /monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
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"100%|████████████████████████████████████████| 104M/104M [00:20<00:00, 4.97MB/s]\n",
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"Archive: ai_spleen_seg_data_updated_1203.zip\n",
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" inflating: dcm/IMG0001.dcm \n",

‎notebooks/tutorials/05_full_tutorial.ipynb

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"Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/gbae/miniconda3/envs/mednist/lib/python3.6/site-packages (from requests[socks]>=2.12.0->gdown) (1.7.1)\n",
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"Downloading...\n",
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"From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
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"To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
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"To: /monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n",
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"104MB [00:10, 10.3MB/s] \n",
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"Archive: ai_spleen_seg_data_update_1203.zip\n",
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" creating: dcm/\n",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"file written: /monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"Output Seg image numpy array shaped: (515, 440, 440)\n",
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"Output Seg image pixel max value: 1\n",
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"\u001b[34mDone performing execution of operator SpleenSegOperator\n",
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"output_type": "stream",
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"text": [
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"[2021-09-23 02:20:19,972] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
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"[2021-09-23 02:20:21,118] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:21,118] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:21,397] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n"
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},
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"\u001b[39m\n",
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"\u001b[34mGoing to initiate execution of operator SpleenSegOperator\u001b[39m\n",
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"\u001b[32mExecuting operator SpleenSegOperator \u001b[33m(Process ID: 5326, Operator ID: a46c7abc-1f90-4009-80d2-0804b23221db)\u001b[39m\n",
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"file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"file written: /monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"Output Seg image numpy array shaped: (515, 440, 440)\n",
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"Output Seg image pixel max value: 1\n",
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"\u001b[34mDone performing execution of operator SpleenSegOperator\n",
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"[2021-09-23 02:20:31,260] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Number of slices in the numpy image: 515\n",
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"[2021-09-23 02:20:31,260] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Labels of the segments: ['Spleen']\n",
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"[2021-09-23 02:20:33,355] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
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"[2021-09-23 02:20:34,659] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:34,659] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:34,846] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n",
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"\u001b[34mDone performing execution of operator DICOMSegmentationWriterOperator\n",
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"\u001b[39m\n"
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"\u001b[39m\n",
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"\u001b[34mGoing to initiate execution of operator SpleenSegOperator\u001b[39m\n",
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"\u001b[32mExecuting operator SpleenSegOperator \u001b[33m(Process ID: 5905, Operator ID: 33da2642-2729-46ea-afe0-632e2a1ae5fc)\u001b[39m\n",
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"file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"file written: /monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n",
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"Output Seg image numpy array shaped: (515, 440, 440)\n",
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"Output Seg image pixel max value: 1\n",
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"\u001b[34mDone performing execution of operator SpleenSegOperator\n",
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"[2021-09-23 02:20:44,984] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Number of slices in the numpy image: 515\n",
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"[2021-09-23 02:20:44,984] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Labels of the segments: ['Spleen']\n",
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"[2021-09-23 02:20:47,101] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
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"[2021-09-23 02:20:48,312] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:48,312] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file /monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n",
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"[2021-09-23 02:20:48,513] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n",
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"\u001b[34mDone performing execution of operator DICOMSegmentationWriterOperator\n",
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"\u001b[39m\n"
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"remote: Total 274 (delta 127), reused 213 (delta 90), pack-reused 0\u001b[K\n",
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"Receiving objects: 100% (274/274), 79.20 KiB | 705.00 KiB/s, done.\n",
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"Resolving deltas: 100% (127/127), done.\n",
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"/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n",
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"/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n",
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"\n",
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"Step 1/12 : FROM python:3.9-slim-buster\n",
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" ---> edd87973afe0\n",
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" ---> a6834eb5a23b\n",
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"Successfully built a6834eb5a23b\n",
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"Successfully tagged monai/inference-service:0.1\n",
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"/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials\n"
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"/monai-deploy-app-sdk/notebooks/tutorials\n"
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}
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],
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"text": [
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"Downloading...\n",
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"From: https://drive.google.com/uc?id=12uNO1tyqZh1oFkZH41Osliey7TRm-BBG\n",
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"To: /home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n",
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"To: /monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n",
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"100%|██████████████████████████████████████| 9.18k/9.18k [00:00<00:00, 10.9MB/s]\n",
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"Archive: charts.zip\n",
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" inflating: charts/templates/monaiinferenceservice-deployment.yaml \n",
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"\n",
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"| Parameter | Value Description |\n",
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"| ----------- | ----------- |\n",
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"| `images.monaiInferenceServiceTag` | MONAI Inference Service image name (`pritishnahar/monai-deploy`) |\n",
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"| `images.monaiInferenceService` | MONAI Inference Service image tag (`inference-service-0.1`) |\n",
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"| `images.monaiInferenceService` | MONAI Inference Service image name (`monai/inference-service`) |\n",
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"| `images.monaiInferenceServiceTag` | MONAI Inference Service image tag (`0.1`) |\n",
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"| `payloadService.hostVolumePath` | Path to a local directory which will serve as a shared volume for payloads between MIS and its pods |\n",
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"| `map.urn` | Name:Tag of MAP image built with MONAI application packager |\n",
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"| `map.entrypoint` | Application entrypoint which can obtained from `app.json` |\n",
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"/home/kavink/.local/lib/python3.8/site-packages/nilearn/datasets/__init__.py:93: FutureWarning: Fetchers from the nilearn.datasets module will be updated in version 0.9 to return python strings instead of bytes and Pandas dataframes instead of Numpy arrays.\n",
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"/home/user/.local/lib/python3.8/site-packages/nilearn/datasets/__init__.py:93: FutureWarning: Fetchers from the nilearn.datasets module will be updated in version 0.9 to return python strings instead of bytes and Pandas dataframes instead of Numpy arrays.\n",
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" warn(\"Fetchers from the nilearn.datasets module will be \"\n"
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},

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