Spaces:
Runtime error
Runtime error
File size: 4,641 Bytes
c19ca42 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 |
from __future__ import annotations
import os
from typing import Literal, Union
from nodes.base_input import BaseInput
# pylint: disable=relative-beyond-top-level
from ...impl.image_formats import get_available_image_formats
FileInputKind = Union[
Literal["bin"],
Literal["image"],
Literal["onnx"],
Literal["param"],
Literal["pt"],
Literal["pth"],
Literal["video"],
]
class FileInput(BaseInput):
"""Input for submitting a local file"""
def __init__(
self,
input_type_name: str,
label: str,
file_kind: FileInputKind,
filetypes: list[str],
has_handle: bool = False,
primary_input: bool = False,
):
super().__init__(input_type_name, label, kind="file", has_handle=has_handle)
self.filetypes = filetypes
self.file_kind = file_kind
self.primary_input = primary_input
self.input_adapt = f"""
match Input {{
string as path => {input_type_name} {{ path: path }},
_ => never
}}
"""
self.associated_type = str
def toDict(self):
return {
**super().toDict(),
"filetypes": self.filetypes,
"fileKind": self.file_kind,
"primaryInput": self.primary_input,
}
def enforce(self, value) -> str:
assert isinstance(value, str)
assert os.path.exists(value), f"File {value} does not exist"
assert os.path.isfile(value), f"The path {value} is not a file"
return value
def ImageFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local image file"""
return FileInput(
input_type_name="ImageFile",
label="Image File",
file_kind="image",
filetypes=get_available_image_formats(),
has_handle=False,
primary_input=primary_input,
)
def VideoFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local video file"""
return FileInput(
input_type_name="VideoFile",
label="Video File",
file_kind="video",
filetypes=[
".mp4",
".h264",
".hevc",
".webm",
".avi",
".gif",
".mov",
".mkv",
".flv",
".m4v",
".avs",
],
has_handle=False,
primary_input=primary_input,
)
def PthFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local .pth file"""
return FileInput(
input_type_name="PthFile",
label="Model",
file_kind="pth",
filetypes=[".pt", ".pth", ".ckpt"],
primary_input=primary_input,
)
class DirectoryInput(BaseInput):
"""Input for submitting a local directory"""
def __init__(
self,
label: str = "Base Directory",
has_handle: bool = False,
must_exist: bool = True,
hide_label: bool = False,
):
super().__init__("Directory", label, kind="directory", has_handle=has_handle)
self.input_adapt = """
match Input {
string as path => Directory { path: path },
_ => never
}
"""
self.must_exist: bool = must_exist
self.hide_label: bool = hide_label
self.associated_type = str
def toDict(self):
return {
**super().toDict(),
"hideLabel": self.hide_label,
}
def enforce(self, value):
assert isinstance(value, str)
if self.must_exist:
assert os.path.exists(value), f"Directory {value} does not exist"
return value
def BinFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local .bin file"""
return FileInput(
input_type_name="NcnnBinFile",
label="NCNN Bin File",
file_kind="bin",
filetypes=[".bin"],
primary_input=primary_input,
)
def ParamFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local .param file"""
return FileInput(
input_type_name="NcnnParamFile",
label="NCNN Param File",
file_kind="param",
filetypes=[".param"],
primary_input=primary_input,
)
def OnnxFileInput(primary_input: bool = False) -> FileInput:
"""Input for submitting a local .onnx file"""
return FileInput(
input_type_name="OnnxFile",
label="ONNX Model File",
file_kind="onnx",
filetypes=[".onnx"],
primary_input=primary_input,
)
|