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import json
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import os
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from typing import Tuple, List, Union, Dict, Any
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from util import Visualize
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from PIL import Image, ImageDraw, ImageFont
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BASE_DIR = ""
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single_img_tasks_no_labels = ["Scene_Classification", "Orientation_Classification", "Environment_State_Classification", "Urban_OCR", "Class_Agnostic_Counting", "Referring_Expression_Counting", "Cross_Object_Reasoning"]
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single_img_tasks_w_labels = ["Ground_Target_Planning"]
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multi_img_tasks_no_labels = ["Target_Backtracking", "Intent_Analysis_and_Prediction", "Scene_Attribute_Understanding", "Scene_Damage_Assessment", "Scene_Analysis_and_Prediction", "Temporal_Ordering"]
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multi_img_tasks_w_labels = ["Air_Ground_Collaborative_Planning", "Swarm_Collaborative_Planning"]
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video_task = ["Event_Prediction", "Event_Tracing", "Event_Understanding"]
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def process_multi_img_tasks_w_labels(task_list, BASE_DIR):
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for task in task_list:
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print(f"======Processing {task}======")
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qa = json.load(open(os.path.join(BASE_DIR, "tasks", f"{task}.json"), 'r', encoding='utf-8'))
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for d in qa:
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for item in d["metadata"]["data_resources"]:
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raw_img_p = os.path.join(BASE_DIR, item["path"].replace("annotated", "raw"))
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annotations = []
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for entity in d["target_entities"]:
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if entity["index"] == item["index"]:
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annotations.append(entity)
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vis_img = Visualize(
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image=Image.open(raw_img_p),
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annotations=annotations,
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show_labels=True,
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)
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save_img_p = os.path.join(BASE_DIR, item["path"])
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os.makedirs(os.path.dirname(save_img_p), exist_ok=True)
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vis_img.save(save_img_p, quality=100, subsampling=0)
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print(f"======Processing End {task}======")
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def process_multi_img_tasks_no_labels(task_list, BASE_DIR):
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for task in task_list:
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print(f"======Processing {task}======")
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qa = json.load(open(os.path.join(BASE_DIR, "tasks", f"{task}.json"), 'r', encoding='utf-8'))
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for d in qa:
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for item in d["metadata"]["data_resources"]:
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raw_img_p = os.path.join(BASE_DIR, item["path"].replace("annotated", "raw"))
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annotations = []
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for entity in d["target_entities"]:
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if entity["index"] == item["index"]:
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annotations.append(entity)
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vis_img = Visualize(
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image=Image.open(raw_img_p),
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annotations=annotations,
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show_labels=False,
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)
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save_img_p = os.path.join(BASE_DIR, item["path"])
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os.makedirs(os.path.dirname(save_img_p), exist_ok=True)
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vis_img.save(save_img_p, quality=100, subsampling=0)
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print(f"======Processing End {task}======")
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def process_single_img_tasks_no_labels(task_list, BASE_DIR):
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for task in task_list:
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print(f"======Processing {task}======")
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qa = json.load(open(os.path.join(BASE_DIR, "tasks", f"{task}.json"), 'r', encoding='utf-8'))
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for d in qa:
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assert (d["metadata"]["data_type"] == "single_image") and (len(d["metadata"]["data_resources"]) == 1)
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raw_img_p = os.path.join(BASE_DIR, d["metadata"]["data_resources"][0]["path"].replace("annotated", "raw"))
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vis_img = Visualize(
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image=Image.open(raw_img_p),
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annotations=d["target_entities"],
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show_labels=False,
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)
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save_img_p = os.path.join(BASE_DIR, d["metadata"]["data_resources"][0]["path"])
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os.makedirs(os.path.dirname(save_img_p), exist_ok=True)
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vis_img.save(save_img_p, quality=100, subsampling=0)
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print(f"======Processing End {task}======")
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def process_single_img_tasks_w_labels(task_list, BASE_DIR):
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for task in task_list:
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print(f"======Processing Start {task}======")
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qa = json.load(open(os.path.join(BASE_DIR, "tasks", f"{task}.json"), 'r', encoding='utf-8'))
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for d in qa:
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assert (d["metadata"]["data_type"] == "single_image") and (len(d["metadata"]["data_resources"]) == 1)
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raw_img_p = os.path.join(BASE_DIR, d["metadata"]["data_resources"][0]["path"].replace("annotated", "raw"))
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vis_img = Visualize(
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image=Image.open(raw_img_p),
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annotations=d["target_entities"],
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show_labels=True,
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)
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save_img_p = os.path.join(BASE_DIR, d["metadata"]["data_resources"][0]["path"])
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os.makedirs(os.path.dirname(save_img_p), exist_ok=True)
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vis_img.save(save_img_p, quality=100, subsampling=0)
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print(f"======Processing End {task}======")
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if __name__ == "__main__":
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process_single_img_tasks_no_labels(single_img_tasks_no_labels, BASE_DIR)
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process_single_img_tasks_w_labels(single_img_tasks_w_labels, BASE_DIR)
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process_multi_img_tasks_no_labels(multi_img_tasks_no_labels, BASE_DIR)
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process_multi_img_tasks_w_labels(multi_img_tasks_w_labels, BASE_DIR) |
