| from glob import glob | |
| import os | |
| import json | |
| import random | |
| train_cnt = 0 | |
| test_cnt = 0 | |
| val_cnt = 0 | |
| combined_cnt = 0 | |
| train_final = {} | |
| test_final = {} | |
| val_final = {} | |
| combined_final = {} | |
| for fn in glob("data/tasks/*/*"): | |
| print(fn) | |
| app_name = fn.split('/')[3] | |
| app_type = fn.split('/')[2] | |
| for i in range(1,10): | |
| image = f"data/data/{app_type}/{app_name}/screen_{i}.png" | |
| if os.path.exists(image) == False: | |
| if i == 1: | |
| print(image) | |
| continue | |
| ocr = f"ocr/{app_type}/{app_name}/screen_{i}.json" | |
| assert os.path.exists(ocr), ocr | |
| color = f"detact_color/{app_type}/{app_name}/screen_{i}.json" | |
| assert os.path.exists(color), color | |
| icon = f"detact_icon/{app_type}/{app_name}/screen_{i}.json" | |
| assert os.path.exists(icon), icon | |
| box = f"data/metadata/{app_type}/boxes/{app_name}/screen_{i}.json" | |
| assert os.path.exists(box), box | |
| script_to_task_fn = {} | |
| cnt = 0 | |
| for task_fn in glob(f"{fn}/task_{i}.*.txt"): | |
| txt = '\n'.join(open(task_fn).read().strip().split('\n')[1:]) | |
| if txt not in script_to_task_fn: | |
| script_to_task_fn[txt] = [] | |
| script_to_task_fn[txt].append(task_fn) | |
| cnt += 1 | |
| for k in script_to_task_fn: | |
| c_tasks = script_to_task_fn[k] | |
| rand = random.randint(1,10) | |
| if rand <= 7: | |
| for c in c_tasks: | |
| train_final[train_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| train_cnt += 1 | |
| combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| combined_cnt += 1 | |
| elif rand == 8: | |
| for c in c_tasks: | |
| val_final[val_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| val_cnt += 1 | |
| combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| combined_cnt += 1 | |
| elif rand > 8: | |
| for c in c_tasks: | |
| test_final[test_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| test_cnt += 1 | |
| combined_final[combined_cnt] = {"task": c, "image": image, "ocr": ocr, "color": color, "icon": icon, "box": box} | |
| combined_cnt += 1 | |
| print(train_cnt) | |
| print(val_cnt) | |
| print(test_cnt) | |
| print(combined_cnt) | |
| json.dump(train_final, open('train.json', "w"), indent=4) | |
| json.dump(val_final, open("val.json","w"), indent=4) | |
| json.dump(test_final, open("test.json","w"), indent=4) | |
| json.dump(combined_final, open('combined.json','w'), indent=4) |