docs: Typo fixes

Author: okunator

README.md

@@ -182,7 +182,7 @@ The class API enables the most flexibility in defining different model architect
 - `model.{head_name}_seg_head` - Model decoders can have multiple segmentation heads with unique names.
 - `model.forward(x)` - forward pass.
 
-**Defining you own multi-task architecture**
+**Defining your own multi-task architecture**
 
 For example, to define a multi-task architecture that has `resnet50` encoder, four decoders, and 5 output heads with `CellPoseUnet` architectural components, we could do this:
 

cellseg_models_pytorch/datasets/tests/test_dataset.py

@@ -7,7 +7,7 @@
 inst_transforms = ["smooth_dist"]
 
 
-@pytest.mark.optional
+# @pytest.mark.optional
 @pytest.mark.parametrize("return_inst", [True, False])
 @pytest.mark.parametrize("return_type", [True, False])
 @pytest.mark.parametrize("return_sem", [True, False])

changelog.d/20220923_095225_oskari.lehtonen.md

@@ -0,0 +1,3 @@
+## Docs
+
+    - Typo fies in docs

examples/lizard_nuclei_segmentation_cellpose.ipynb

@@ -177,24 +177,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pytorch_lightning as pl\n",
-    "import cellseg_models_pytorch as csmp\n",
-    "from pathlib import Path\n",
-    "from cellseg_models_pytorch.datamodules import LizardDataModule\n",
-    "\n",
-    "fold_split = {\"train\": 1, \"valid\": 2, \"test\": 3}\n",
-    "save_dir = Path.home() / \"lizard\" # modify the save path\n",
-    "lizard_module = LizardDataModule(\n",
-    "    save_dir=save_dir,\n",
-    "    fold_split=fold_split,\n",
-    "    inst_transforms=[\"cellpose\"],\n",
-    "    img_transforms=[\"blur\", \"hue_sat\"],\n",
-    "    patch_size=(320, 320),\n",
-    "    stride=220,\n",
-    "    normalization=\"minmax\",\n",
-    ")\n",
-    "\n",
-    "\n",
     "model = csmp.models.cellpose_base(\n",
     "    enc_name=\"tf_efficientnetv2_s\",\n",
     "    type_classes=len(lizard_module.type_classes),\n",