| | import os |
| | import os.path as osp |
| | import json |
| | import random |
| | import transformers |
| | from tqdm import tqdm |
| | from multiprocessing import Pool |
| | from functools import partial |
| |
|
| | from data_class import domNode, nodeBbox |
| |
|
| |
|
| | MAX_TOKEN_LEN = 800 |
| | MIN_TOKEN_LEN = 200 |
| | MAX_IoU = 0 |
| |
|
| | HTML2BBOX_TEMPLATE = [ |
| | "Where is the given dom tree?", |
| | |
| | ] |
| |
|
| | BBOX2HTML_TEMPLATE = [ |
| | "Can you give me a description of the region <objs> in image?", |
| | |
| | ] |
| |
|
| |
|
| | class NodewithHtml(domNode): |
| | def __init__(self, id, info=None, children=None, father=None, tokenizer=None, img_w=None, img_h=None, task=""): |
| | super().__init__(id, info, children, father, tokenizer, img_w=img_w, img_h=img_h, task="") |
| | self.dom_xml = self.get_dom_xml(mode="dom_xml") |
| | self.dom_xml_with_bbox = self.get_dom_xml(mode="dom_xml_with_bbox") |
| |
|
| | def bbox2str(self) -> str: |
| | x1_rel = round(max(0, (self.info.bbox.x1 / IMG_W)) * 1000) |
| | y1_rel = round(max(0, (self.info.bbox.y1 / IMG_H)) * 1000) |
| | x2_rel = round(min(0.999, (self.info.bbox.x2 / IMG_W)) * 1000) |
| | y2_rel = round(min(0.999, (self.info.bbox.y2 / IMG_H)) * 1000) |
| |
|
| | coords = [x1_rel, y1_rel, x2_rel, y2_rel] |
| | bbox_str = ["{:03}".format(coord) for coord in coords] |
| | bbox_str = "[" + ", ".join(bbox_str) + "]" |
| | |
| | return bbox_str |
| | |
| | def center2str(self) -> str: |
| | cx = round(max(0, min(0.999, self.info.bbox.cx / IMG_W)) * 1000) |
| | cy = round(max(0, min(0.999, self.info.bbox.cy / IMG_H)) * 1000) |
| |
|
| | point = [cx, cy] |
| | point_str = ["{:03}".format(p) for p in point] |
| | point_str = "[" + ", ".join(point_str) + "]" |
| | |
| | return point_str |
| |
|
| | def node2xml_withbbox(self) -> str: |
| | text = self.info.text |
| | bbox_str = self.bbox2str() |
| |
|
| | if self.is_text() or self.has_single_text_child(): |
| | pseudo_html_line = f"<text box={bbox_str} content=\"{text}\">" |
| | elif self.is_img(): |
| | if self.class_for_caption == 'img': |
| | pseudo_html_line = f"<img box={bbox_str} alt={text}>" |
| | elif self.class_for_caption == 'svg': |
| | pseudo_html_line = f"<svg box={bbox_str} alt={text}>" |
| | else: |
| | return "" |
| | elif self.info.func == 'type': |
| | pseudo_html_line = f"<input box={bbox_str}, content=\"{text}\">" |
| | else: |
| | if self.is_leaf(): |
| | return "" |
| | else: |
| | pseudo_html_line = f"<plain box={bbox_str}>" |
| |
|
| | return pseudo_html_line |
| |
|
| | def node2xml(self) -> str: |
| | text = self.info.text |
| | bbox_str = self.bbox2str() |
| | center_str = self.center2str() |
| |
|
| | if self.is_text() or self.has_single_text_child(): |
| | pseudo_html_line = f"<text content=\"{text}\">" |
| | elif self.is_img(): |
| | if self.class_for_caption == 'img': |
| | pseudo_html_line = f"<img alt={text}>" |
| | elif self.class_for_caption == 'svg': |
| | pseudo_html_line = f"<svg alt={text}>" |
| | else: |
| | return "" |
| | elif self.info.func == 'type': |
| | pseudo_html_line = f"<input center={center_str}, content=\"{text}\">" |
| | else: |
| | if self.is_leaf(): |
| | return "" |
| | else: |
| | pseudo_html_line = f"<plain>" |
| |
|
| | return pseudo_html_line |
| |
|
| | def get_dom_xml(self, mode: str): |
| | xml_func = self.node2xml if mode == 'dom_xml' else self.node2xml_withbbox |
| |
|
| | self_dom_xml = xml_func() |
| | if not self_dom_xml: |
| | return "" |
| | |
| | dom_xml_list = [self_dom_xml] |
| |
|
| | if not self.is_func_leaf(): |
| | for child in self.children: |
| | child_xml = getattr(child, mode) |
| | if not child_xml: |
| | return "" |
| | child_xml_list = child_xml.strip().split('\n') |
| | child_xml_list = ['\t' + line for line in child_xml_list] |
| | child_xml_fmt = '\n'.join(child_xml_list) |
| | dom_xml_list.append(child_xml_fmt) |
| |
|
| | dom_xml = '\n'.join(dom_xml_list) |
| | return dom_xml |
| |
|
| |
|
| | tokenizer = transformers.AutoTokenizer.from_pretrained( |
| | "path/to/your/tokenizer", |
| | trust_remote_code=True, |
| | ) |
| |
|
| |
|
| | def get_str_token_len(str_: str) -> int: |
| | return len(tokenizer.encode(str_)) |
| |
|
| |
|
| | def collect_nodes(dom: NodewithHtml, node_list: list[NodewithHtml]) -> list: |
| | if dom.is_valid: |
| | node_list.append(dom) |
| |
|
| | for child in dom.children: |
| | collect_nodes(child, node_list) |
| |
|
| | return node_list |
| |
|
| |
|
| | def selece_node(xml: str, bbox: nodeBbox, selected_dom_list: list[nodeBbox]) -> bool: |
| | if not xml: |
| | return False |
| |
|
| | try: |
| | token_len = get_str_token_len(xml) |
| | except: |
| | return False |
| | if token_len > MAX_TOKEN_LEN or token_len < MIN_TOKEN_LEN: |
| | return False |
| |
|
| | if selected_dom_list: |
| | max_IoUs = bbox.get_max_IoU(selected_dom_list) |
| | if max_IoUs > MAX_IoU: |
| | return False |
| |
|
| | return True |
| |
|
| |
|
| | def make_qa(node_list: list[NodewithHtml], img_path: str): |
| | random.shuffle(node_list) |
| |
|
| | dom_xml_list = [] |
| | dom_xml_with_bbox_list = [] |
| |
|
| | ann_list = [] |
| | for node in node_list: |
| | if selece_node(node.dom_xml_with_bbox, node.info.bbox, dom_xml_with_bbox_list): |
| | bbox2html_prompt = random.choice(BBOX2HTML_TEMPLATE) |
| | prompt = bbox2html_prompt.replace("<objs>", node.bbox2str()) |
| | caption = node.dom_xml_with_bbox |
| |
|
| | ann = { |
| | "image": img_path, |
| | "conversations": [ |
| | { |
| | "from": "human", |
| | "value": f"<image>\n{prompt}" |
| | }, |
| | { |
| | "from": "gpt", |
| | "value": caption |
| | } |
| | ] |
| | } |
| | ann_list.append(ann) |
| | dom_xml_with_bbox_list.append(node.info.bbox) |
| | |
| | return ann_list |
| |
|
| |
|
| | def write_ann(ann_list, ann_path): |
| | ann_dir = osp.dirname(ann_path) |
| | if not osp.exists(ann_dir): |
| | os.mkdir(ann_dir) |
| |
|
| | with open(ann_path, 'a', encoding='utf-8') as f: |
| | for i in range(len(ann_list)): |
| | ann_list[i]['id'] = i |
| |
|
| | ann_str = json.dumps(ann_list[i], ensure_ascii=False) |
| | f.write(ann_str + '\n') |
| |
|
| |
|
| | def single_proc(data_dir, language, sub_dir): |
| | sub_path = osp.join(data_dir, sub_dir) |
| | screen_shot_dir = osp.join(sub_path, 'screenshot') |
| | dom_sub_dir = 'dom_svg' if language == 'zh' else 'dom_svg_en' |
| | dom_dir = osp.join(sub_path, dom_sub_dir) |
| | html_dir = osp.join(sub_path, 'html') |
| |
|
| | html_path = osp.join(html_dir, 'html_0.html') |
| | if not osp.exists(html_path): |
| | return [] |
| | html_content = open(html_path).readline().strip() |
| | if html_content in ['https://www.qq.com/', 'https://music.163.com/']: |
| | return [] |
| |
|
| | all_annotations = [] |
| | for img_file in os.listdir(screen_shot_dir): |
| | if 'tmp' in img_file: |
| | continue |
| | file_ids = img_file.split('.')[0].split('_')[1] |
| | json_path = osp.join(dom_dir, f'dom_{file_ids}.json') |
| | img_path = osp.join(screen_shot_dir, img_file) |
| | if not osp.exists(json_path): |
| | continue |
| |
|
| | dom_data = json.load(open(json_path)) |
| | try: |
| | dom_node = NodewithHtml(tokenizer=tokenizer, img_w=IMG_W, img_h=IMG_H, task='dom', **dom_data) |
| | except ValueError as e: |
| | print(f"Json data error: {e}\n{json_path}") |
| | continue |
| |
|
| | node_list = collect_nodes(dom_node, []) |
| | annotations = make_qa(node_list, img_path) |
| | all_annotations.extend(annotations) |
| | |
| | return all_annotations |
| |
|
| |
|
| | def main_multi(data_dir, dst_path, language): |
| | pool = Pool(processes=16) |
| |
|
| | sub_dir_list = os.listdir(data_dir) |
| | single_proc_partial = partial(single_proc, data_dir, language) |
| |
|
| | num = 0 |
| | for res in tqdm(pool.imap_unordered(single_proc_partial, sub_dir_list), total=len(sub_dir_list)): |
| | write_ann(res, dst_path) |
| | num += len(res) |
| |
|
| |
|
| | IMG_W = 1920 |
| | IMG_H = 1080 |
| |
|
| | data_dir = 'data_20240624' |
| | dst_path = 'xxx.jsonl' |
| |
|
| |
|
| | if __name__ == '__main__': |
| | main_multi(data_dir, dst_path, 'en') |
| |
|