Fixed image rendering in notebooks (#918)

* Fixed image rendering in notebooks

* Replaced python kernel for od_sr_synth.ipynb

doc/source/examples/cd_online_camelyon.ipynb

@@ -66,7 +66,7 @@
     "We will use the Camelyon17 dataset, one of the [WILDS](https://wilds.stanford.edu/) datasets of [Koh et al, (2020)](https://arxiv.org/abs/2012.07421) that represent \"in-the-wild\" distribution shifts for various data modalities. It contains tissue scans to be classificatied as benign or cancerous. The pre-change distribution corresponds to scans from across three hospitals and the post-change distribution corresponds to scans from a new fourth hospital.\n",
     "\n",
     "<div>\n",
-    "<img src=attachment:camelyon.png width=\"400\"/>\n",
+    "<img src=image/camelyon.png width=\"400\"/>\n",
     "</div>\n",
     "\n",
     "[Koh et al, (2020)](https://arxiv.org/abs/2012.07421) show that models trained on scans from the pre-change distribution achieve an accuracy of 93.2% on unseen scans from same distribution, but only 70.3% accuracy on scans from the post-change distribution.\n",
@@ -546,7 +546,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -560,9 +560,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

doc/source/examples/cd_supervised_penguins.ipynb

@@ -21,7 +21,7 @@
     "The [palmerpenguins](https://allisonhorst.github.io/palmerpenguins) dataset <cite data-cite=\"Horst2020\"><!-- --></cite> consists of data on 344 penguins from 3 islands in the Palmer Archipelago, Antarctica. There are 3 different species of penguin in the dataset, and a common task is to classify the the species of each penguin based upon two features, the length and depth of the peguin's bill, or beak.\n",
     "\n",
     "<div>\n",
-    "<img src=\"attachment:penguins.png\" width=\"700\"/>\n",
+    "<img src=\"image/penguins.png\" width=\"700\"/>\n",
     "</div>"
    ]
   },
@@ -30,7 +30,7 @@
    "metadata": {},
    "source": [
     "<div>\n",
-    "<img src=\"attachment:penguinculmen.png\" width=\"600\"/>\n",
+    "<img src=\"image/penguinculmen.png\" width=\"600\"/>\n",
     "</div>\n",
     "\n",
     "Artwork by [Allison Horst](https://twitter.com/allison_horst)"
@@ -815,7 +815,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "venv",
    "language": "python",
    "name": "python3"
   },
@@ -829,7 +829,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

docs-gb/examples/cd_online_camelyon.ipynb

@@ -66,7 +66,7 @@
     "We will use the Camelyon17 dataset, one of the [WILDS](https://wilds.stanford.edu/) datasets of [Koh et al, (2020)](https://arxiv.org/abs/2012.07421) that represent \"in-the-wild\" distribution shifts for various data modalities. It contains tissue scans to be classificatied as benign or cancerous. The pre-change distribution corresponds to scans from across three hospitals and the post-change distribution corresponds to scans from a new fourth hospital.\n",
     "\n",
     "<div>\n",
-    "<img src=attachment:camelyon.png width=\"400\"/>\n",
+    "<img src=../images/camelyon.png width=\"400\"/>\n",
     "</div>\n",
     "\n",
     "[Koh et al, (2020)](https://arxiv.org/abs/2012.07421) show that models trained on scans from the pre-change distribution achieve an accuracy of 93.2% on unseen scans from same distribution, but only 70.3% accuracy on scans from the post-change distribution.\n",

docs-gb/examples/cd_supervised_penguins.ipynb

@@ -21,7 +21,7 @@
     "The [palmerpenguins](https://allisonhorst.github.io/palmerpenguins) dataset <cite data-cite=\"Horst2020\"><!-- --></cite> consists of data on 344 penguins from 3 islands in the Palmer Archipelago, Antarctica. There are 3 different species of penguin in the dataset, and a common task is to classify the the species of each penguin based upon two features, the length and depth of the peguin's bill, or beak.\n",
     "\n",
     "<div>\n",
-    "<img src=\"attachment:penguins.png\" width=\"700\"/>\n",
+    "<img src=\"../images/penguins.png\" width=\"700\"/>\n",
     "</div>"
    ]
   },
@@ -30,7 +30,7 @@
    "metadata": {},
    "source": [
     "<div>\n",
-    "<img src=\"attachment:penguinculmen.png\" width=\"600\"/>\n",
+    "<img src=\"../images/penguinculmen.png\" width=\"600\"/>\n",
     "</div>\n",
     "\n",
     "Artwork by [Allison Horst](https://twitter.com/allison_horst)"