Upload sentence-annotation.py

sentence-annotation.py

@@ -0,0 +1,71 @@
+import os
+import json
+import matplotlib.pyplot as plt
+import matplotlib.patches as patches
+
+
+input_folder = "words"
+output_folder = "ocr-text-sentence"
+
+json_files = [file for file in os.listdir(input_folder) if file.endswith('.json')]
+
+for idx, json_file in enumerate(json_files):
+    print(f'Processing {json_file}')
+    input_file_path = os.path.join(input_folder, json_file)
+    output_file_path = os.path.join(output_folder, os.path.splitext(json_file)[0] + '.txt')
+    img_file_path = os.path.join("images", json_file.replace("_words.json", ".jpg"))
+
+    with open(input_file_path, 'r') as file:
+        data = json.load(file)
+
+    words_list = data.get("words", [])
+
+    width = data["image_rect"][2]
+    height = data["image_rect"][3]
+    print(len(words_list))
+    sorted_list = sorted(words_list, key=lambda x: (x["bbox"][1], x["bbox"][0]))
+    print(sum(len(s["text"]) for s in sorted_list))
+
+    merged_list = []
+    for i, item in enumerate(sorted_list):
+        if i > 0:
+            prev_item = sorted_list[i - 1]
+            # Check if the current item is in the same line as the previous one
+            if abs(item["bbox"][1] - prev_item["bbox"][1]) < 4 and (item["bbox"][0] - prev_item["bbox"][2])<10:
+                # Merge the boxes and update the text
+                merged_item = {
+                    "bbox": [min(item["bbox"][0], merged_list[-1]["bbox"][0]),
+                            min(item["bbox"][1], merged_list[-1]["bbox"][1]),
+                            max(item["bbox"][2], merged_list[-1]["bbox"][2]),
+                            max(item["bbox"][3], merged_list[-1]["bbox"][3])],
+                    "text": merged_list[-1]["text"] + " " + item["text"]
+                }
+                # Update the previous item in the merged list
+                merged_list[-1] = merged_item
+            else:
+                # Add the current item to the merged list
+                merged_list.append(item)
+        else:
+            # Add the first item to the merged list
+            merged_list.append(item)
+
+    print(sum(len(s["text"]) for s in merged_list))
+    result_strings = []
+    for word in merged_list:
+        bbox_values = word["bbox"]
+
+        #calculate (x,y,w,h)
+        x =  int((bbox_values[0])*100/width)
+        y =  int((bbox_values[1])*100/height)
+        box_width =  int((abs(bbox_values[2]-bbox_values[0]))*100/width)
+        box_height =  int((abs(bbox_values[3]-bbox_values[1]))*100/height)
+        #convert everything to a string with appropriate spacing and text at the end
+        result_string = f"{x} {y} {box_width} {box_height} {word['text']}"
+        result_strings.append(result_string)
+
+    result_string = ' '.join(result_strings)
+
+    with open(output_file_path, 'w', encoding='utf-8') as file:
+        file.write(result_string)
+
+