def __init__(self):
task_paths = sly.DtlPaths()
self.in_dir = task_paths.data_dir
self.out_dir = task_paths.results_dir
self.settings = sly.json_load(task_paths.settings_path)
self.classes = set()
self.tags = set()
def __init__(self):
task_paths = sly.DtlPaths()
self.in_dir = task_paths.data_dir
self.out_dir = task_paths.results_dir
self.settings = sly.json_load(task_paths.settings_path)
self.colors_file = osp.join(self.in_dir, 'colors.json')
self._read_colors()
self._read_datasets()
def __init__(self):
task_paths = sly.DtlPaths()
self.in_dir = task_paths.data_dir
self.out_dir = task_paths.results_dir
self.settings = sly.json_load(task_paths.settings_path)
if len(task_paths.project_dirs) > 1:
raise RuntimeError('The project should consist of only one folder.')
self.dataset_dir = task_paths.project_dirs[0]
self._define_classes()
def __init__(self):
task_paths = sly.DtlPaths()
self.in_dir = task_paths.data_dir
self.out_dir = task_paths.results_dir
self.settings = sly.json_load(task_paths.settings_path)
if len(task_paths.project_dirs) != 1:
raise RuntimeError(
'Invalid data format. Input folder should contain only "images_and_annotations" dir'
)
self.data_dir = join(self.in_dir, 'images_and_annotations')
def __init__(self):
task_paths = sly.DtlPaths()
self.in_dir = task_paths.data_dir
self.out_dir = task_paths.results_dir
self.settings = sly.json_load(task_paths.settings_path)
if not os.path.exists(join(self.in_dir, 'img')) or not os.path.exists(
(join(self.in_dir, 'ann'))):
raise RuntimeError(
'Invalid data format. Input folder should contain "img" and "ann" dirs'
)
self.img_dir = join(self.in_dir, 'img')
self.ann_dir = join(self.in_dir, 'ann')
results_counter = 0
for pr_name, pr_dir in helper.in_project_dirs.items():
root_path, project_name = sly.ProjectFS.split_dir_project(pr_dir)
project_fs = sly.ProjectFS.from_disk(root_path, project_name, by_annotations=True)
progress = sly.progress_counter_dtl(pr_name, project_fs.image_cnt)
for sample in project_fs:
try:
img_desc = sly.ImageDescriptor(sample)
ann = sly.json_load(sample.ann_path)
data_el = (img_desc, ann)
export_output_generator = net.start(data_el)
for res_export in export_output_generator:
logger.trace("image processed", extra={'img_name': res_export[0][0].get_img_name()})
results_counter += 1
except Exception:
ex = {
'project_name': sample.project_name,
'ds_name': sample.ds_name,
'image_name': sample.image_name
}
logger.warn('Image was skipped because some error occured', exc_info=True, extra=ex)
progress.iter_done_report()
logger.info('DTL finished', extra={'event_type': EventType.DTL_APPLIED, 'new_proj_size': results_counter})
if __name__ == '__main__':
if os.getenv('DEBUG_LOG_TO_FILE', None):
sly.add_default_logging_into_file(logger, sly.DtlPaths().debug_dir)
sly.main_wrapper('DTL', main)