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129 | 129 | "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",
|
130 | 130 | "Downloading...\n",
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131 | 131 | "From: https://drive.google.com/uc?id=1GC_N8YQk_mOWN02oOzAU_2YDmNRWk--n\n",
|
132 |
| - "To: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n", |
| 132 | + "To: ~/src/monai-deploy-app-sdk/notebooks/tutorials/ai_spleen_seg_data_updated_1203.zip\n", |
133 | 133 | "104MB [00:10, 10.3MB/s] \n",
|
134 | 134 | "Archive: ai_spleen_seg_data_update_1203.zip\n",
|
135 | 135 | " creating: dcm/\n",
|
|
905 | 905 | "name": "stdout",
|
906 | 906 | "output_type": "stream",
|
907 | 907 | "text": [
|
908 |
| - "file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
| 908 | + "file written: ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
909 | 909 | "Output Seg image numpy array shaped: (515, 440, 440)\n",
|
910 | 910 | "Output Seg image pixel max value: 1\n",
|
911 | 911 | "\u001b[34mDone performing execution of operator SpleenSegOperator\n",
|
|
919 | 919 | "output_type": "stream",
|
920 | 920 | "text": [
|
921 | 921 | "[2021-09-23 02:20:19,972] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
|
922 |
| - "[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", |
| 922 | + "[2021-09-23 02:20:21,118] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n", |
923 | 923 | "[2021-09-23 02:20:21,397] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n"
|
924 | 924 | ]
|
925 | 925 | },
|
|
1257 | 1257 | "\u001b[39m\n",
|
1258 | 1258 | "\u001b[34mGoing to initiate execution of operator SpleenSegOperator\u001b[39m\n",
|
1259 | 1259 | "\u001b[32mExecuting operator SpleenSegOperator \u001b[33m(Process ID: 5326, Operator ID: a46c7abc-1f90-4009-80d2-0804b23221db)\u001b[39m\n",
|
1260 |
| - "file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
| 1260 | + "file written: ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
1261 | 1261 | "Output Seg image numpy array shaped: (515, 440, 440)\n",
|
1262 | 1262 | "Output Seg image pixel max value: 1\n",
|
1263 | 1263 | "\u001b[34mDone performing execution of operator SpleenSegOperator\n",
|
|
1268 | 1268 | "[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",
|
1269 | 1269 | "[2021-09-23 02:20:31,260] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Labels of the segments: ['Spleen']\n",
|
1270 | 1270 | "[2021-09-23 02:20:33,355] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
|
1271 |
| - "[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", |
| 1271 | + "[2021-09-23 02:20:34,659] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n", |
1272 | 1272 | "[2021-09-23 02:20:34,846] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n",
|
1273 | 1273 | "\u001b[34mDone performing execution of operator DICOMSegmentationWriterOperator\n",
|
1274 | 1274 | "\u001b[39m\n"
|
|
1309 | 1309 | "\u001b[39m\n",
|
1310 | 1310 | "\u001b[34mGoing to initiate execution of operator SpleenSegOperator\u001b[39m\n",
|
1311 | 1311 | "\u001b[32mExecuting operator SpleenSegOperator \u001b[33m(Process ID: 5905, Operator ID: 33da2642-2729-46ea-afe0-632e2a1ae5fc)\u001b[39m\n",
|
1312 |
| - "file written: /home/gbae/repo/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
| 1312 | + "file written: ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/prediction_output/Img_in_context/Img_in_context_seg.nii.gz.\n", |
1313 | 1313 | "Output Seg image numpy array shaped: (515, 440, 440)\n",
|
1314 | 1314 | "Output Seg image pixel max value: 1\n",
|
1315 | 1315 | "\u001b[34mDone performing execution of operator SpleenSegOperator\n",
|
|
1320 | 1320 | "[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",
|
1321 | 1321 | "[2021-09-23 02:20:44,984] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Labels of the segments: ['Spleen']\n",
|
1322 | 1322 | "[2021-09-23 02:20:47,101] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Unique values in seg image: [0 1]\n",
|
1323 |
| - "[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", |
| 1323 | + "[2021-09-23 02:20:48,312] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - Saving output file ~/src/monai-deploy-app-sdk/notebooks/tutorials/output/dicom_seg-DICOMSEG.dcm\n", |
1324 | 1324 | "[2021-09-23 02:20:48,513] [INFO] (monai.deploy.operators.dicom_seg_writer_operator.DICOMSegWriter) - File saved.\n",
|
1325 | 1325 | "\u001b[34mDone performing execution of operator DICOMSegmentationWriterOperator\n",
|
1326 | 1326 | "\u001b[39m\n"
|
|
1683 | 1683 | "remote: Total 274 (delta 127), reused 213 (delta 90), pack-reused 0\u001b[K\n",
|
1684 | 1684 | "Receiving objects: 100% (274/274), 79.20 KiB | 705.00 KiB/s, done.\n",
|
1685 | 1685 | "Resolving deltas: 100% (127/127), done.\n",
|
1686 |
| - "/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n", |
| 1686 | + "~/src/monai-deploy-app-sdk/notebooks/tutorials/monai-deploy-app-server/components/inference-service\n", |
1687 | 1687 | "\n",
|
1688 | 1688 | "Step 1/12 : FROM python:3.9-slim-buster\n",
|
1689 | 1689 | " ---> edd87973afe0\n",
|
|
1722 | 1722 | " ---> a6834eb5a23b\n",
|
1723 | 1723 | "Successfully built a6834eb5a23b\n",
|
1724 | 1724 | "Successfully tagged monai/inference-service:0.1\n",
|
1725 |
| - "/home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials\n" |
| 1725 | + "~/src/monai-deploy-app-sdk/notebooks/tutorials\n" |
1726 | 1726 | ]
|
1727 | 1727 | }
|
1728 | 1728 | ],
|
|
1751 | 1751 | "text": [
|
1752 | 1752 | "Downloading...\n",
|
1753 | 1753 | "From: https://drive.google.com/uc?id=12uNO1tyqZh1oFkZH41Osliey7TRm-BBG\n",
|
1754 |
| - "To: /home/kavink/src/work_folder/monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n", |
| 1754 | + "To: ~/src/monai-deploy-app-sdk/notebooks/tutorials/charts.zip\n", |
1755 | 1755 | "100%|██████████████████████████████████████| 9.18k/9.18k [00:00<00:00, 10.9MB/s]\n",
|
1756 | 1756 | "Archive: charts.zip\n",
|
1757 | 1757 | " inflating: charts/templates/monaiinferenceservice-deployment.yaml \n",
|
|
1781 | 1781 | "\n",
|
1782 | 1782 | "| Parameter | Value Description |\n",
|
1783 | 1783 | "| ----------- | ----------- |\n",
|
1784 |
| - "| `images.monaiInferenceServiceTag` | MONAI Inference Service image name (`pritishnahar/monai-deploy`) |\n", |
1785 |
| - "| `images.monaiInferenceService` | MONAI Inference Service image tag (`inference-service-0.1`) |\n", |
| 1784 | + "| `images.monaiInferenceService` | MONAI Inference Service image name (`monai/inference-service`) |\n", |
| 1785 | + "| `images.monaiInferenceServiceTag` | MONAI Inference Service image tag (`0.1`) |\n", |
1786 | 1786 | "| `payloadService.hostVolumePath` | Path to a local directory which will serve as a shared volume for payloads between MIS and its pods |\n",
|
1787 | 1787 | "| `map.urn` | Name:Tag of MAP image built with MONAI application packager |\n",
|
1788 | 1788 | "| `map.entrypoint` | Application entrypoint which can obtained from `app.json` |\n",
|
|
2042 | 2042 | "name": "stderr",
|
2043 | 2043 | "output_type": "stream",
|
2044 | 2044 | "text": [
|
2045 |
| - "/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", |
| 2045 | + "/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", |
2046 | 2046 | " warn(\"Fetchers from the nilearn.datasets module will be \"\n"
|
2047 | 2047 | ]
|
2048 | 2048 | },
|
|
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