| 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) |
