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Fix Examples on Windows (#1681)
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* Replace lambda functions with named functions in the examples
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@snehilchatterjee
snehilchatterjee authored Oct 8, 2024
1 parent 9b0dcd7 commit 820b20f
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Showing 54 changed files with 892 additions and 172 deletions.
34 changes: 28 additions & 6 deletions examples/notebooks/pytorch/aim.ipynb
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Expand Up @@ -129,16 +129,38 @@
"cell_type": "code",
"execution_count": null,
"id": "8",
"metadata": {},
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [],
"source": [
"transform = AIMTransform()\n",
"# we ignore object detection annotations by setting target_transform to return 0\n",
"# we ignore object detection annotations by setting target_transform to return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"metadata": {},
"outputs": [],
"source": [
"def target_transform(t):\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"metadata": {},
"outputs": [],
"source": [
"dataset = torchvision.datasets.VOCDetection(\n",
" \"datasets/pascal_voc\",\n",
" download=True,\n",
" transform=transform,\n",
" target_transform=lambda t: 0,\n",
" target_transform=target_transform,\n",
")\n",
"# or create a dataset from a folder containing images or videos:\n",
"# dataset = LightlyDataset(\"path/to/folder\")"
Expand All @@ -147,7 +169,7 @@
{
"cell_type": "code",
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"id": "9",
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"source": [
Expand All @@ -163,7 +185,7 @@
{
"cell_type": "code",
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Expand All @@ -174,7 +196,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "13",
"metadata": {},
"outputs": [],
"source": [
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34 changes: 27 additions & 7 deletions examples/notebooks/pytorch/dino.ipynb
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Expand Up @@ -139,13 +139,33 @@
"metadata": {},
"outputs": [],
"source": [
"transform = DINOTransform()\n",
"transform = DINOTransform()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"metadata": {},
"outputs": [],
"source": [
"# we ignore object detection annotations by setting target_transform to return 0\n",
"def target_transform(t):\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "12",
"metadata": {},
"outputs": [],
"source": [
"dataset = torchvision.datasets.VOCDetection(\n",
" \"datasets/pascal_voc\",\n",
" download=True,\n",
" transform=transform,\n",
" target_transform=lambda t: 0,\n",
" target_transform=target_transform,\n",
")\n",
"# or create a dataset from a folder containing images or videos:\n",
"# dataset = LightlyDataset(\"path/to/folder\")"
Expand All @@ -154,7 +174,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "13",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -170,7 +190,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "12",
"id": "14",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -185,7 +205,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "13",
"id": "15",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -195,7 +215,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "14",
"id": "16",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -205,7 +225,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "15",
"id": "17",
"metadata": {},
"outputs": [],
"source": [
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38 changes: 29 additions & 9 deletions examples/notebooks/pytorch/ijepa.ipynb
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Expand Up @@ -128,21 +128,41 @@
"transform = IJEPATransform()"
]
},
{
"cell_type": "markdown",
"id": "8",
"metadata": {
"lines_to_next_cell": 2
},
"source": [
"we ignore object detection annotations by setting target_transform to return 0\n",
"or create a dataset from a folder containing images or videos:\n",
"dataset = LightlyDataset(\"path/to/folder\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8",
"id": "9",
"metadata": {},
"outputs": [],
"source": [
"def target_transform(t):\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"metadata": {},
"outputs": [],
"source": [
"# we ignore object detection annotations by setting target_transform to return 0\n",
"# or create a dataset from a folder containing images or videos:\n",
"# dataset = LightlyDataset(\"path/to/folder\")\n",
"dataset = torchvision.datasets.VOCDetection(\n",
" \"datasets/pascal_voc\",\n",
" download=True,\n",
" transform=transform,\n",
" target_transform=lambda t: 0,\n",
" target_transform=target_transform,\n",
")\n",
"data_loader = torch.utils.data.DataLoader(\n",
" dataset, collate_fn=collator, batch_size=10, persistent_workers=False\n",
Expand All @@ -152,7 +172,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"id": "11",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -169,7 +189,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"id": "12",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -181,7 +201,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "13",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -194,7 +214,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "12",
"id": "14",
"metadata": {},
"outputs": [],
"source": [
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34 changes: 28 additions & 6 deletions examples/notebooks/pytorch/mae.ipynb
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Expand Up @@ -141,16 +141,38 @@
"cell_type": "code",
"execution_count": null,
"id": "7",
"metadata": {},
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [],
"source": [
"transform = MAETransform()\n",
"# we ignore object detection annotations by setting target_transform to return 0\n",
"# we ignore object detection annotations by setting target_transform to return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8",
"metadata": {},
"outputs": [],
"source": [
"def target_transform(t):\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"metadata": {},
"outputs": [],
"source": [
"dataset = torchvision.datasets.VOCDetection(\n",
" \"datasets/pascal_voc\",\n",
" download=True,\n",
" transform=transform,\n",
" target_transform=lambda t: 0,\n",
" target_transform=target_transform,\n",
")\n",
"# or create a dataset from a folder containing images or videos:\n",
"# dataset = LightlyDataset(\"path/to/folder\")"
Expand All @@ -159,7 +181,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "8",
"id": "10",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -175,7 +197,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"id": "11",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -186,7 +208,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"id": "12",
"metadata": {},
"outputs": [],
"source": [
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36 changes: 29 additions & 7 deletions examples/notebooks/pytorch/msn.ipynb
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Expand Up @@ -134,16 +134,38 @@
"cell_type": "code",
"execution_count": null,
"id": "8",
"metadata": {},
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [],
"source": [
"transform = MSNTransform()\n",
"# we ignore object detection annotations by setting target_transform to return 0\n",
"# we ignore object detection annotations by setting target_transform to return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"metadata": {},
"outputs": [],
"source": [
"def target_transform(t):\n",
" return 0"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"metadata": {},
"outputs": [],
"source": [
"dataset = torchvision.datasets.VOCDetection(\n",
" \"datasets/pascal_voc\",\n",
" download=True,\n",
" transform=transform,\n",
" target_transform=lambda t: 0,\n",
" target_transform=target_transform,\n",
")\n",
"# or create a dataset from a folder containing images or videos:\n",
"# dataset = LightlyDataset(\"path/to/folder\")"
Expand All @@ -152,7 +174,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9",
"id": "11",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -168,7 +190,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "10",
"id": "12",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -178,7 +200,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "11",
"id": "13",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -193,7 +215,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "12",
"id": "14",
"metadata": {},
"outputs": [],
"source": [
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