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pytorch-adapter: fill in the final name and URL of the article #4

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2 changes: 1 addition & 1 deletion pytorch-adapter/README.md
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@@ -1,5 +1,5 @@
This directory contains the example scripts referenced by the article
"PyTorch adapter in the CVAT SDK".
["CVAT SDK PyTorch adapter: using CVAT datasets in your ML pipeline"](https://www.cvat.ai/post/cvat-sdk-pytorch-adapter).

Each script uses the following environment variables to locate and connect to CVAT:

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2 changes: 1 addition & 1 deletion pytorch-adapter/demo-1.ipynb
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"metadata": {},
"source": [
"This notebook demonstrates the API of the `cvat_sdk.pytorch` module in CVAT SDK.\n",
"It is part of the supplementary materials for the article \"PyTorch adapter in the CVAT SDK\".\n",
"It is part of the supplementary materials for the article [\"CVAT SDK PyTorch adapter: using CVAT datasets in your ML pipeline\"](https://www.cvat.ai/post/cvat-sdk-pytorch-adapter).\n",
"\n",
"To run it, first fill in your CVAT access credentials in the cell below.\n",
"You also need to run the `upload-flowers.py` script and fill in the ID of the training task that it has printed."
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2 changes: 1 addition & 1 deletion pytorch-adapter/demo-2.ipynb
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Expand Up @@ -6,7 +6,7 @@
"metadata": {},
"source": [
"This notebook demonstrates working with object-level annotations via CVAT SDK.\n",
"It is part of the supplementary materials for the article \"PyTorch adapter in the CVAT SDK\".\n",
"It is part of the supplementary materials for the article [\"CVAT SDK PyTorch adapter: using CVAT datasets in your ML pipeline\"](https://www.cvat.ai/post/cvat-sdk-pytorch-adapter).\n",
"\n",
"To run it, first fill in your CVAT access credentials in the cell below.\n",
"You also need to upload the flowers dataset and add some rectangle annotations, as described in the article. Then fill in the training task ID in the cell below."
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