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README.md

@@ -1,16 +1,24 @@
 ---
 dataset_info:
   features:
-  - name: filename
+  - name: id
     dtype: string
   - name: image
     dtype: image
-  - name: regions
+  - name: width
+    dtype: int32
+  - name: height
+    dtype: int32
+  - name: annotations
     sequence:
-    - name: all_points_x
-      sequence: int64
-    - name: all_points_y
+    - name: bbox
       sequence: int64
+      length: 4
+    - name: area
+      dtype: int64
+    - name: segmentation
+      sequence:
+        sequence: int64
     - name: name
       dtype:
         class_label:
@@ -29,11 +37,11 @@ dataset_info:
   config_name: WFCR_full
   splits:
   - name: train
-    num_bytes: 637045
+    num_bytes: 937884
     num_examples: 1644
   - name: test
-    num_bytes: 162317
+    num_bytes: 239710
     num_examples: 412
-  download_size: 45594249
-  dataset_size: 799362
+  download_size: 46791554
+  dataset_size: 1177594
 ---

WaterFlowCountersRecognition.py

@@ -1,5 +1,6 @@
 import json
 import os
+from PIL import Image
 
 import datasets
 
@@ -62,10 +63,13 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
             {
                 "id": datasets.Value("string"),
                 "image": datasets.Image(),
-                "regions": datasets.Sequence(
+                "width": datasets.Value('int32'),
+                "height": datasets.Value('int32'),
+                "annotations": datasets.Sequence(
                     {                        
-                        "all_points_x": datasets.Sequence(datasets.Value("int64")),
-                        "all_points_y": datasets.Sequence(datasets.Value("int64")),                                                                      
+                        "bbox": datasets.Sequence(datasets.Value("int64"), length=4),
+                        "area": datasets.Value("int64"), 
+                        "segmentation": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),                                                                    
                         "name": datasets.ClassLabel(names=_REGION_NAME, num_classes=3),
                         "rotated": datasets.ClassLabel(names=_REGION_ROTETION, num_classes=4)
                     }         
@@ -118,13 +122,16 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
         
         for file in os.listdir(folder_dir):
             filepath = os.path.join(folder_dir, file)
-            #print(filepath)
+            
             with open(filepath, "rb") as f:
                 image_bytes = f.read()
-            #print(image_bytes)
             
-            all_x = []
-            all_y = []
+            image = Image.open(filepath)
+            width, height = image.size
+            
+            all_bbox = []
+            all_area  = []
+            all_segmentation = []
             names = []
             rotated = []
             
@@ -133,8 +140,22 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
                 if annotations['_via_img_metadata'][el]['filename'] == file:
                     
                     for region in annotations['_via_img_metadata'][el]['regions']:
-                        all_x.append(region['shape_attributes']['all_points_x'])
-                        all_y.append(region['shape_attributes']['all_points_y'])
+                        all_x = region['shape_attributes']['all_points_x']
+                        all_y = region['shape_attributes']['all_points_y']
+                        x_min = min(all_x)
+                        y_min = min(all_y)
+                        x_max = max(all_x)
+                        y_max = max(all_y)
+                        p_width = x_max - x_min
+                        p_height = y_max - y_min
+                        bbox = [x_min, y_min, p_width, p_height ]
+                        area = p_width * p_height
+                        segmentation = list(zip(all_x, all_y))
+                        
+                        all_bbox.append(bbox)
+                        all_area.append(area)
+                        all_segmentation.append(segmentation)
+
                         for name in list(region['region_attributes']['name'].keys()):
                             names.append(name_to_id[name])
                         try:
@@ -147,9 +168,12 @@ class WaterFlowCounter(datasets.GeneratorBasedBuilder):
                     yield idx, {
                         "id": file,
                         "image": {"path": filepath, "bytes": image_bytes},
-                        "regions": {
-                            "all_points_x": all_x,
-                            "all_points_y": all_y,                                                                      
+                        "width": width,
+                        "height": height,
+                        "annotations": {
+                            "area": all_area,
+                            "bbox": all_bbox,  
+                            "segmentation": all_segmentation,                                                                    
                             "name":names,
                             "rotated": rotated
                         }