sentence-annotation.py

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)