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__init__.py
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__init__.py
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# Copyright (c) 2021, yolort team. All rights reserved.
from typing import Any
from torch import nn
from .yolo import YOLO
from .yolov5 import YOLOv5
__all__ = [
"YOLO",
"YOLOv5",
"yolov5n",
"yolov5n6",
"yolov5s",
"yolov5s6",
"yolov5m",
"yolov5m6",
"yolov5l",
"yolov5ts",
]
def yolov5n(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_n_r60", **kwargs)
else:
raise NotImplementedError("Currently only supports r6.0 version")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5s(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r3.1", "r4.0", "r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r3.1":
model = YOLOv5(arch="yolov5_darknet_pan_s_r31", **kwargs)
elif upstream_version == "r4.0":
model = YOLOv5(arch="yolov5_darknet_pan_s_r40", **kwargs)
elif upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_s_r60", **kwargs)
else:
raise NotImplementedError("Currently doesn't support this versions.")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5m(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r3.1", "r4.0", "r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r3.1":
model = YOLOv5(arch="yolov5_darknet_pan_m_r31", **kwargs)
elif upstream_version == "r4.0":
model = YOLOv5(arch="yolov5_darknet_pan_m_r40", **kwargs)
elif upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_m_r60", **kwargs)
else:
raise NotImplementedError("Currently doesn't support this versions.")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5l(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r3.1", "r4.0", "r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r3.1":
model = YOLOv5(arch="yolov5_darknet_pan_l_r31", **kwargs)
elif upstream_version == "r4.0":
model = YOLOv5(arch="yolov5_darknet_pan_l_r40", **kwargs)
elif upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_l_r60", **kwargs)
else:
raise NotImplementedError("Currently doesn't support this versions.")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5n6(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_n6_r60", size_divisible=64, **kwargs)
else:
raise NotImplementedError("Currently only supports r6.0 version")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5s6(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_s6_r60", size_divisible=64, **kwargs)
else:
raise NotImplementedError("Currently only supports r5.0 and r6.0 versions")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5m6(upstream_version: str = "r6.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are ["r6.0"]. Default: "r6.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r6.0":
model = YOLOv5(arch="yolov5_darknet_pan_m6_r60", size_divisible=64, **kwargs)
else:
raise NotImplementedError("Currently only supports r5.0 and r6.0 versions")
if export_friendly:
_export_module_friendly(model)
return model
def yolov5ts(upstream_version: str = "r4.0", export_friendly: bool = False, **kwargs: Any):
"""
Args:
upstream_version (str): model released by the upstream YOLOv5. Possible values
are "r4.0". Default: "r4.0".
export_friendly (bool): Deciding whether to use (ONNX/TVM) export friendly mode.
Default: False.
"""
if upstream_version == "r4.0":
model = YOLOv5(arch="yolov5_darknet_tan_s_r40", **kwargs)
else:
raise NotImplementedError("Currently only supports r4.0 versions")
if export_friendly:
_export_module_friendly(model)
return model
def _export_module_friendly(model):
from yolort.v5 import Conv
from yolort.v5.utils.activations import Hardswish, SiLU
for m in model.modules():
m._non_persistent_buffers_set = set() # pytorch 1.6.0 compatibility
if isinstance(m, Conv):
if isinstance(m.act, nn.Hardswish):
m.act = Hardswish() # assign activation
if isinstance(m.act, nn.SiLU):
m.act = SiLU()