Update README.md

README.md

@@ -21,3 +21,95 @@ task_categories:
 task_ids:
 - semantic-segmentation
 ---
+
+
+## Setup
+
+```bash
+pip install datasets
+```
+
+## Feel the Magic
+
+### Load Dataset
+```python
+from datasets import load_dataset
+
+data = load_dataset('ziq/RSNA-ATD2023')
+print(data)
+```
+
+```bash
+DatasetDict({
+    train: Dataset({
+        features: ['patient_id', 'series_id', 'frame_id', 'image', 'mask'],
+        num_rows: 70291
+    })
+})
+```
+
+### Train Test Split
+```python
+data = data['train'].train_test_split(test_size=0.2)
+```
+
+```python
+train, test = data['train'], data['test']
+
+# train[0]['patient_id']
+# train[0]['image'] -> PIL Image
+# train[0]['mask'] -> PIL Image
+```
+
+### Get Segmentation Mask
+
+```python
+ids = 3
+image, mask = train[ids]['image'], train[ids]['mask']
+
+mask = np.array(mask)
+liver, spleen, right_kidney, left_kidney, bowel = [(mask == i,1,0)[0] * i for i in range(1, len(labels))]
+```
+
+
+### Plot Mask
+
+```python
+from matplotlib.colors import ListedColormap, BoundaryNorm
+
+colors = ['#02020e', '#520e6d', '#c13a50', '#f57d15', '#fac62c', '#f4f88e'] # inferno
+bounds = range(0, len(colors) + 1)
+
+# Define the boundaries for each class in the colormap
+cmap, norm = ListedColormap(colors), BoundaryNorm(bounds, len(colors))
+
+# Plot the segmentation mask with the custom colormap
+def plot_mask(mask, alpha=1.0):
+    _, ax = plt.subplots()
+    cax = ax.imshow(mask, cmap=cmap, norm=norm, alpha=alpha)
+    cbar = plt.colorbar(cax, cmap=cmap, norm=norm, boundaries=bounds, ticks=bounds)
+    cbar.set_ticks([])
+    _labels = [""] + labels
+    for i in range(1, len(_labels)):
+        cbar.ax.text(2, -0.5 + i, _labels[i], ha='left', color=colors[i - 1], fontsize=8)
+    plt.axis('off')
+    plt.show()
+    
+def plot(image, mask, cmap='gray'):
+    plt.imshow(image * np.where(mask > 0,1,0), cmap=cmap)
+    plt.axis('off')
+    plt.show()
+```
+
+```python
+plot(image, mask)
+```
+
+![gray cmap](https://huggingface.co/datasets/ziq/RSNA-ATD2023/resolve/main/assets/grayscale.png)
+
+```python
+plot_mask(mask)
+```
+
+![custom cmap](https://huggingface.co/datasets/ziq/RSNA-ATD2023/resolve/main/assets/mask.png)
+