Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
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# ==========================================================
# Modified from mmcv
# ==========================================================
import json
import pickle
from abc import ABCMeta, abstractmethod
from pathlib import Path
import yaml
try:
from yaml import CLoader as Loader, CDumper as Dumper
except ImportError:
from yaml import Loader, Dumper
# ===========================
# Rigister handler
# ===========================
class BaseFileHandler(metaclass=ABCMeta):
@abstractmethod
def load_from_fileobj(self, file, **kwargs):
pass
@abstractmethod
def dump_to_fileobj(self, obj, file, **kwargs):
pass
@abstractmethod
def dump_to_str(self, obj, **kwargs):
pass
def load_from_path(self, filepath, mode="r", **kwargs):
with open(filepath, mode) as f:
return self.load_from_fileobj(f, **kwargs)
def dump_to_path(self, obj, filepath, mode="w", **kwargs):
with open(filepath, mode) as f:
self.dump_to_fileobj(obj, f, **kwargs)
class JsonHandler(BaseFileHandler):
def load_from_fileobj(self, file):
return json.load(file)
def dump_to_fileobj(self, obj, file, **kwargs):
json.dump(obj, file, **kwargs)
def dump_to_str(self, obj, **kwargs):
return json.dumps(obj, **kwargs)
class PickleHandler(BaseFileHandler):
def load_from_fileobj(self, file, **kwargs):
return pickle.load(file, **kwargs)
def load_from_path(self, filepath, **kwargs):
return super(PickleHandler, self).load_from_path(filepath, mode="rb", **kwargs)
def dump_to_str(self, obj, **kwargs):
kwargs.setdefault("protocol", 2)
return pickle.dumps(obj, **kwargs)
def dump_to_fileobj(self, obj, file, **kwargs):
kwargs.setdefault("protocol", 2)
pickle.dump(obj, file, **kwargs)
def dump_to_path(self, obj, filepath, **kwargs):
super(PickleHandler, self).dump_to_path(obj, filepath, mode="wb", **kwargs)
class YamlHandler(BaseFileHandler):
def load_from_fileobj(self, file, **kwargs):
kwargs.setdefault("Loader", Loader)
return yaml.load(file, **kwargs)
def dump_to_fileobj(self, obj, file, **kwargs):
kwargs.setdefault("Dumper", Dumper)
yaml.dump(obj, file, **kwargs)
def dump_to_str(self, obj, **kwargs):
kwargs.setdefault("Dumper", Dumper)
return yaml.dump(obj, **kwargs)
file_handlers = {
"json": JsonHandler(),
"yaml": YamlHandler(),
"yml": YamlHandler(),
"pickle": PickleHandler(),
"pkl": PickleHandler(),
}
# ===========================
# load and dump
# ===========================
def is_str(x):
"""Whether the input is an string instance.
Note: This method is deprecated since python 2 is no longer supported.
"""
return isinstance(x, str)
def slload(file, file_format=None, **kwargs):
"""Load data from json/yaml/pickle files.
This method provides a unified api for loading data from serialized files.
Args:
file (str or :obj:`Path` or file-like object): Filename or a file-like
object.
file_format (str, optional): If not specified, the file format will be
inferred from the file extension, otherwise use the specified one.
Currently supported formats include "json", "yaml/yml" and
"pickle/pkl".
Returns:
The content from the file.
"""
if isinstance(file, Path):
file = str(file)
if file_format is None and is_str(file):
file_format = file.split(".")[-1]
if file_format not in file_handlers:
raise TypeError(f"Unsupported format: {file_format}")
handler = file_handlers[file_format]
if is_str(file):
obj = handler.load_from_path(file, **kwargs)
elif hasattr(file, "read"):
obj = handler.load_from_fileobj(file, **kwargs)
else:
raise TypeError('"file" must be a filepath str or a file-object')
return obj
def sldump(obj, file=None, file_format=None, **kwargs):
"""Dump data to json/yaml/pickle strings or files.
This method provides a unified api for dumping data as strings or to files,
and also supports custom arguments for each file format.
Args:
obj (any): The python object to be dumped.
file (str or :obj:`Path` or file-like object, optional): If not
specified, then the object is dump to a str, otherwise to a file
specified by the filename or file-like object.
file_format (str, optional): Same as :func:`load`.
Returns:
bool: True for success, False otherwise.
"""
if isinstance(file, Path):
file = str(file)
if file_format is None:
if is_str(file):
file_format = file.split(".")[-1]
elif file is None:
raise ValueError("file_format must be specified since file is None")
if file_format not in file_handlers:
raise TypeError(f"Unsupported format: {file_format}")
handler = file_handlers[file_format]
if file is None:
return handler.dump_to_str(obj, **kwargs)
elif is_str(file):
handler.dump_to_path(obj, file, **kwargs)
elif hasattr(file, "write"):
handler.dump_to_fileobj(obj, file, **kwargs)
else:
raise TypeError('"file" must be a filename str or a file-object')