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