Update README.md

README.md

@@ -72,17 +72,40 @@ train, test = data['train'], data['test']
 # train[0]['mask'] -> PIL Image
 ```
 
-### Get Segmentation Mask
+### Get Image & Segmentation Mask
 
 ```python
 ids = 3
-image, mask = train[ids]['image'], train[ids]['mask']
+image, mask = train[ids]['image'], \ # shape: (512, 512)
+                  train[ids]['mask']  # shape: (512, 512)
+```
+
+### Convert mask into np.ndarray
 
+```python
 mask = np.array(mask)
 ```
 
+### Visualize Image & Mask
+
+```python
+fig = plt.figure(figsize=(16,16))
+ax1 = fig.add_subplot(131)
+plt.axis('off')
+ax1.imshow(image, cmap='gray')
+ax2 = fig.add_subplot(132)
+plt.axis('off')
+ax2.imshow(mask, cmap='gray')
+ax3 = fig.add_subplot(133)
+ax3.imshow(image*np.where(mask>0,1,0), cmap='gray')
+plt.axis('off')
+plt.show()
+```
+
+![raw cmap](https://huggingface.co/datasets/ziq/RSNA-ATD2023/resolve/main/assets/raw.png)
+
 
-### Write Plotting Function
+### Write Custom Plotting Function
 
 ```python
 from matplotlib.colors import ListedColormap, BoundaryNorm
@@ -105,37 +128,8 @@ def plot_mask(mask, alpha=1.0):
     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()
 ```
 
-### Plot
-
-```python
-fig = plt.figure(figsize=(16,16))
-ax1 = fig.add_subplot(131)
-plt.axis('off')
-ax1.imshow(image, cmap='gray')
-ax2 = fig.add_subplot(132)
-plt.axis('off')
-ax2.imshow(mask, cmap='gray')
-ax3 = fig.add_subplot(133)
-ax3.imshow(image*np.where(mask>0,1,0), cmap='gray')
-plt.axis('off')
-plt.show()
-```
-
-![raw cmap](https://huggingface.co/datasets/ziq/RSNA-ATD2023/resolve/main/assets/raw.png)
-
-```python
-plot(image, mask)
-```
-
-![gray cmap](https://huggingface.co/datasets/ziq/RSNA-ATD2023/resolve/main/assets/grayscale.png)
-
-
 ### Custom Color
 
 ```python