| from tqdm import tqdm | |
| from utils import setup_output_files, end_output_file | |
| from create_scene import create_scene | |
| from joblib import Parallel, delayed | |
| def update_progress_bar(bar): | |
| def update(_): | |
| bar.update() | |
| return update | |
| def create_dataset(dataset_length, dataset_type="location", max_num_objects=4, n_jobs=1, verbose=False): | |
| dataset_length = dataset_length//2 | |
| setup_output_files(dataset_type) | |
| # Parallelize scene creation | |
| _results = [ | |
| result for result in tqdm(Parallel(n_jobs=n_jobs, return_as="generator")( | |
| delayed(create_scene)(i, dataset_type, max_num_objects, verbose=verbose) for i in range(dataset_length) | |
| ), | |
| total=dataset_length, desc=f"Creating {dataset_type} dataset") | |
| ] | |
| end_output_file(dataset_type) | |
| # create_dataset(10, "counting", n_jobs=2) |