def prepare_evaluation(self):
"""Preapre for evaluation."""
val_json_file = os.path.join(self._params.model_dir,
'eval_annotation_file.json')
if self._params.eval.val_json_file:
tf.gfile.Copy(self._params.eval.val_json_file, val_json_file)
else:
coco_utils.scan_and_generator_annotation_file(
self._params.eval.eval_file_pattern,
self._params.eval.eval_samples,
include_mask=False,
annotation_file=val_json_file)
eval_params = params_dict.ParamsDict(self._params.eval)
eval_params.override({'val_json_file': val_json_file})
self._evaluator = factory.evaluator_generator(eval_params)
def prepare_evaluation(self):
"""Preapre for evaluation."""
eval_params = params_dict.ParamsDict(self._params.eval)
if self._params.eval.use_json_file:
val_json_file = os.path.join(
self._params.model_dir, "eval_annotation_file.json"
)
if self._params.eval.val_json_file:
tf.io.gfile.copy(
self._params.eval.val_json_file, val_json_file, overwrite=True
)
else:
coco_utils.scan_and_generator_annotation_file(
self._params.eval.eval_file_pattern,
self._params.eval.eval_samples,
include_mask=False,
annotation_file=val_json_file,
dataset_type=self._params.eval.eval_dataset_type,
)
eval_params.override({"val_json_file": val_json_file})
self._evaluator = factory.evaluator_generator(eval_params)
def prepare_evaluation(self):
"""Preapre for evaluation."""
eval_params = params_dict.ParamsDict(self._params.eval)
if self._params.eval.type == 'box_and_mask':
if (not self._params.eval.use_json_file or
not self._params.eval.val_json_file):
raise ValueError('If `eval.type` == `box_and_mask`, '
'`eval.val_json_file` is required.')
if self._params.eval.use_json_file:
val_json_file = os.path.join(self._params.model_dir,
'eval_annotation_file.json')
if self._params.eval.val_json_file:
tf.gfile.Copy(
self._params.eval.val_json_file, val_json_file, overwrite=True)
else:
coco_utils.scan_and_generator_annotation_file(
self._params.eval.eval_file_pattern,
self._params.eval.eval_samples,
include_mask=False,
annotation_file=val_json_file,
dataset_type=self._params.eval.eval_dataset_type)
eval_params.override({'val_json_file': val_json_file})
self._evaluator = factory.evaluator_generator(eval_params)
