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student_2333 2024-10-31 16:06:48 +08:00
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8 changed files with 211 additions and 122 deletions

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@ -131,21 +131,27 @@ plugins = [
| 配置项 | 必填 | 默认值 | 说明 | | 配置项 | 必填 | 默认值 | 说明 |
| :-------------------------: | :--: | :-----------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------: | | :-------------------------: | :--: | :-----------------------------------------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| `NAILONG_MODEL_DIR` | 否 | `./data/nailongremove` | 模型的下载位置 | | **响应配置** | | | |
| `NAILONG_BYPASS_SUPERUSER` | 否 | `True` | 是否不检查超级用户发送的图片 | | `NAILONG_BYPASS_SUPERUSER` | 否 | `True` | 是否不检查超级用户发送的图片 |
| `NAILONG_BYPASS_ADMIN` | 否 | `True` | 是否不检查群组管理员发送的图片 | | `NAILONG_BYPASS_ADMIN` | 否 | `True` | 是否不检查群组管理员发送的图片 |
| `NAILONG_NEED_ADMIN` | 否 | `False` | 当自身不为群组管理员时是否不检查群内所有图片 | | `NAILONG_NEED_ADMIN` | 否 | `False` | 当自身不为群组管理员时是否不检查群内所有图片 |
| `NAILONG_LIST_SCENES` | 否 | `[]` | 聊天场景 ID 黑白名单列表<br />在单级聊天下为该聊天 ID如 QQ 群号;<br />在多级聊天下为以 `_` 分割的各级聊天 ID如频道下的子频道或频道下私聊 | | `NAILONG_LIST_SCENES` | 否 | `[]` | 聊天场景 ID 黑白名单列表<br />在单级聊天下为该聊天 ID如 QQ 群号;<br />在多级聊天下为以 `_` 分割的各级聊天 ID如频道下的子频道或频道下私聊 |
| `NAILONG_BLACKLIST` | 否 | `True` | 是否使用黑名单模式 | | `NAILONG_BLACKLIST` | 否 | `True` | 是否使用黑名单模式 |
| `NAILONG_PRIORITY` | 否 | `100` | Matcher 优先级 |
| **行为配置** | | | |
| `NAILONG_RECALL` | 否 | `True` | 是否撤回消息 | | `NAILONG_RECALL` | 否 | `True` | 是否撤回消息 |
| `NAILONG_MUTE_SECONDS` | 否 | `0` | 设置禁言时间,默认为 0 即不禁言<br/>单位:秒 | | `NAILONG_MUTE_SECONDS` | 否 | `0` | 设置禁言时间,默认为 0 即不禁言<br/>单位:秒 |
| `NAILONG_TIP` | 否 | `本群禁止发奶龙!` | 发送的提示,使用 [Alconna 的消息模板](https://nonebot.dev/docs/best-practice/alconna/uniseg#%E4%BD%BF%E7%94%A8%E6%B6%88%E6%81%AF%E6%A8%A1%E6%9D%BF),可用变量见下 | | `NAILONG_TIP` | 否 | `本群禁止发奶龙!` | 发送的提示,使用 [Alconna 的消息模板](https://nonebot.dev/docs/best-practice/alconna/uniseg#%E4%BD%BF%E7%94%A8%E6%B6%88%E6%81%AF%E6%A8%A1%E6%9D%BF),可用变量见下 |
| `NAILONG_FAILED_TIP` | 否 | `{:Reply($message_id)}呜,不要发奶龙了嘛 🥺 👉👈` | 撤回失败或禁用撤回时发送的提示,同上 | | `NAILONG_FAILED_TIP` | 否 | `{:Reply($message_id)}呜,不要发奶龙了嘛 🥺 👉👈` | 撤回失败或禁用撤回时发送的提示,同上 |
| **模型通用配置** | | | |
| `NAILONG_MODEL_DIR` | 否 | `./data/nailongremove` | 模型的下载位置 |
| `NAILONG_MODEL` | 否 | `0` | 选择需要加载的模型,可用模型见下 | | `NAILONG_MODEL` | 否 | `0` | 选择需要加载的模型,可用模型见下 |
| `NAILONG_CONCURRENCY` | 否 | `1` | 当图片为动图时,针对该图片并发识别图片帧的最大并发数 |
| `NAILONG_PRIORITY` | 否 | `100` | Matcher 优先级 |
| `NAILONG_YOLOX_SIZE` | 否 | `[416,416]` | 主要针对模型 1自定义模型输入可能会有尺寸更改 |
| `NAILONG_AUTO_UPDATE_MODEL` | 否 | `True` | 是否自动更新模型 | | `NAILONG_AUTO_UPDATE_MODEL` | 否 | `True` | 是否自动更新模型 |
| `NAILONG_CONCURRENCY` | 否 | `1` | 当图片为动图时,针对该图片并发识别图片帧的最大并发数 |
| **模型 1 特定配置** | | | |
| `NAILONG_MODEL1_YOLOX_SIZE` | 否 | `[416,416]` | 针对模型 1自定义模型输入可能会有尺寸更改 |
| `NAILONG_MODEL1_TYPE` | 否 | `tiny` | 模型 1 使用的模型类型,可用 `tiny` / `m` |
| **杂项配置** | | | |
| `NAILONG_GITHUB_TOKEN` | 否 | `None` | GitHub Access Token遇到模型下载或更新问题时可尝试填写 | | `NAILONG_GITHUB_TOKEN` | 否 | `None` | GitHub Access Token遇到模型下载或更新问题时可尝试填写 |
### 可用模型 ### 可用模型
@ -178,6 +184,11 @@ plugins = [
## 📝 更新日志 ## 📝 更新日志
### 2.1.5
- 重命名配置项 `NAILONG_YOLOX_SIZE` -> `NAILONG_MODEL1_YOLOX_SIZE`
- 模型 1 现可以自动获取最新版本,也可以通过配置 `NAILONG_MODEL1_TYPE` 选择要使用的类型
### 2.1.4 ### 2.1.4
- 修复 `NAILONG_NEED_ADMIN` 配置不生效的 Bug - 修复 `NAILONG_NEED_ADMIN` 配置不生效的 Bug

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@ -9,7 +9,7 @@ require("nonebot_plugin_uninfo")
from . import handler as handler from . import handler as handler
from .config import Config from .config import Config
__version__ = "2.1.4" __version__ = "2.1.5"
__plugin_meta__ = PluginMetadata( __plugin_meta__ = PluginMetadata(
name="自动撤回奶龙", name="自动撤回奶龙",
description="一个基于图像分类模型的简单插件~", description="一个基于图像分类模型的简单插件~",

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@ -12,23 +12,28 @@ class ModelType(int, Enum):
class Config(BaseModel): class Config(BaseModel):
nailong_model_dir: Path = Field(
default_factory=lambda: Path.cwd() / "data" / "nailongremove",
)
nailong_bypass_superuser: bool = True nailong_bypass_superuser: bool = True
nailong_bypass_admin: bool = True nailong_bypass_admin: bool = True
nailong_need_admin: bool = False nailong_need_admin: bool = False
nailong_list_scenes: List[str] = Field(default_factory=list) nailong_list_scenes: List[str] = Field(default_factory=list)
nailong_blacklist: bool = True nailong_blacklist: bool = True
nailong_priority: int = 100
nailong_recall: bool = True nailong_recall: bool = True
nailong_mute_seconds: int = 0 nailong_mute_seconds: int = 0
nailong_tip: str = "本群禁止发送奶龙!" nailong_tip: str = "本群禁止发送奶龙!"
nailong_failed_tip: str = "{:Reply($message_id)}呜,不要发奶龙了嘛 🥺 👉👈" nailong_failed_tip: str = "{:Reply($message_id)}呜,不要发奶龙了嘛 🥺 👉👈"
nailong_model_dir: Path = Field(
default_factory=lambda: Path.cwd() / "data" / "nailongremove",
)
nailong_model: ModelType = ModelType.CLASSIFICATION nailong_model: ModelType = ModelType.CLASSIFICATION
nailong_concurrency: int = 1
nailong_priority: int = 100
nailong_yolox_size: Tuple[int, int] = (416, 416)
nailong_auto_update_model: bool = True nailong_auto_update_model: bool = True
nailong_concurrency: int = 1
nailong_model1_yolox_size: Tuple[int, int] = (416, 416)
nailong_model1_type: str = "tiny"
nailong_github_token: Optional[str] = None nailong_github_token: Optional[str] = None

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@ -11,10 +11,6 @@ from ..utils import ensure_model_from_github_repo
if TYPE_CHECKING: if TYPE_CHECKING:
from . import CheckResult from . import CheckResult
cuda_available = torch.cuda.is_available()
device = torch.device("cuda" if cuda_available else "cpu")
transform = transforms.Compose([transforms.ToTensor()])
model_path = ensure_model_from_github_repo( model_path = ensure_model_from_github_repo(
"spawner1145", "spawner1145",
"NailongRecognize", "NailongRecognize",
@ -23,6 +19,9 @@ model_path = ensure_model_from_github_repo(
"nailong.pth", "nailong.pth",
) )
cuda_available = torch.cuda.is_available()
device = torch.device("cuda" if cuda_available else "cpu")
transform = transforms.Compose([transforms.ToTensor()])
model: Any = torch.hub.load("pytorch/vision:v0.10.0", "resnet50", weights=None) model: Any = torch.hub.load("pytorch/vision:v0.10.0", "resnet50", weights=None)
model.fc = nn.Linear(model.fc.in_features, 2) # 修改最后一层为分类层 model.fc = nn.Linear(model.fc.in_features, 2) # 修改最后一层为分类层
model.load_state_dict( model.load_state_dict(

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@ -1,10 +1,14 @@
from contextlib import suppress
from pathlib import Path
from typing import TYPE_CHECKING from typing import TYPE_CHECKING
import numpy as np import numpy as np
import onnxruntime import onnxruntime
from nonebot import logger
from yarl import URL
from ..config import config from ..config import config
from ..utils import ensure_model_from_github_release from ..utils import TIME_FORMAT_TEMPLATE, ensure_model, get_github, get_ver_filename
from .yolox_utils import demo_postprocess, multiclass_nms, preprocess, vis from .yolox_utils import demo_postprocess, multiclass_nms, preprocess, vis
if TYPE_CHECKING: if TYPE_CHECKING:
@ -12,15 +16,57 @@ if TYPE_CHECKING:
COCO_CLASSES = ("_background_", "nailong", "anime", "human", "emoji", "long", "other") COCO_CLASSES = ("_background_", "nailong", "anime", "human", "emoji", "long", "other")
model_path = ensure_model_from_github_release(
"nkxingxh", model_filename_sfx = f"_{config.nailong_model1_type}.onnx"
"NailongDetection",
"v2.3",
"nailong_v2.3_tiny.onnx", def find_local_model() -> Path:
) local_models = [
x
for x in config.nailong_model_dir.iterdir()
if x.name.endswith(model_filename_sfx)
]
local_models.sort(key=lambda x: x.stat().st_mtime, reverse=True)
if not local_models:
raise FileNotFoundError("No local model found")
p = local_models[0]
version = (
vp.read_text("u8")
if (vp := (p.parent / get_ver_filename(p.name))).exists()
else "Unknown"
)
logger.info(f"Using local cached model: {p.name} (version {version})")
return p
def get_latest_model() -> Path:
if not config.nailong_auto_update_model:
with suppress(FileNotFoundError):
return find_local_model()
github = get_github()
try:
ret = github.rest.repos.get_latest_release("nkxingxh", "NailongDetection")
asset = next(
x for x in ret.parsed_data.assets if x.name.endswith(model_filename_sfx)
)
url = URL(asset.browser_download_url)
version = asset.updated_at.strftime(TIME_FORMAT_TEMPLATE)
return ensure_model(
str(url.parent),
url.name,
lambda: version,
)
except Exception as e:
logger.warning(f"Failed to get latest model: {type(e).__name__}: {e}")
logger.opt(exception=e).debug("Stacktrace")
return find_local_model()
model_path = get_latest_model()
session = onnxruntime.InferenceSession(model_path) session = onnxruntime.InferenceSession(model_path)
input_shape = config.nailong_yolox_size input_shape = config.nailong_model1_yolox_size
def check_image(image: np.ndarray) -> "CheckResult": def check_image(image: np.ndarray) -> "CheckResult":
@ -45,7 +91,6 @@ def check_image(image: np.ndarray) -> "CheckResult":
dets[:, 4], # type: ignore dets[:, 4], # type: ignore
dets[:, 5], # type: ignore dets[:, 5], # type: ignore
) )
for i in range(len(final_scores)): for i in range(len(final_scores)):
if final_cls_inds[i] == 1 and final_scores[i] > 0.5: if final_cls_inds[i] == 1 and final_scores[i] > 0.5:
image = vis( image = vis(

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@ -1,4 +1,4 @@
from typing import Callable from typing import Callable, Optional, Tuple, Union
from typing_extensions import TypeAlias from typing_extensions import TypeAlias
import torch import torch
@ -7,7 +7,13 @@ from nonebot import logger
from .config import config from .config import config
ModelVersionGetter: TypeAlias = Callable[[], str] ModelVersionGetter: TypeAlias = Callable[
[],
Union[
str,
Tuple[str, Optional[str]],
],
]
def get_github(): def get_github():
@ -36,18 +42,22 @@ def make_github_repo_sha_getter(
folder: str, folder: str,
filename: str, filename: str,
): ):
def getter() -> str: def getter() -> Tuple[str, str]:
github = get_github() github = get_github()
ret = github.rest.git.get_tree(owner, repo, f"{branch}:{folder}") ret = github.rest.git.get_tree(owner, repo, f"{branch}:{folder}")
return next( sha = next(
x.sha[:7] x.sha
for x in ret.parsed_data.tree for x in ret.parsed_data.tree
if x.path == filename and isinstance(x.sha, str) if x.path == filename and isinstance(x.sha, str)
) )
return sha[:7], sha
return getter return getter
TIME_FORMAT_TEMPLATE = "%Y-%m-%d_%H-%M-%S"
def make_github_release_update_time_getter( def make_github_release_update_time_getter(
owner: str, owner: str,
repo: str, repo: str,
@ -58,18 +68,22 @@ def make_github_release_update_time_getter(
github = get_github() github = get_github()
ret = github.rest.repos.get_release_by_tag(owner, repo, tag) ret = github.rest.repos.get_release_by_tag(owner, repo, tag)
asset = next(x for x in ret.parsed_data.assets if x.name == filename) asset = next(x for x in ret.parsed_data.assets if x.name == filename)
return asset.updated_at.strftime("%Y-%m-%d_%H-%M-%S") return asset.updated_at.strftime(TIME_FORMAT_TEMPLATE)
return getter return getter
def get_ver_filename(filename: str) -> str:
return f"{filename}.ver.txt"
def ensure_model( def ensure_model(
model_base_url: str, model_base_url: str,
model_filename: str, model_filename: str,
model_version_getter: ModelVersionGetter, model_version_getter: ModelVersionGetter,
): ):
model_path = config.nailong_model_dir / model_filename model_path = config.nailong_model_dir / model_filename
model_version_path = config.nailong_model_dir / f"{model_filename}.ver.txt" model_version_path = config.nailong_model_dir / get_ver_filename(model_filename)
model_exists = model_path.exists() model_exists = model_path.exists()
local_ver = ( local_ver = (
@ -79,16 +93,11 @@ def ensure_model(
) )
if model_exists and (not config.nailong_auto_update_model): if model_exists and (not config.nailong_auto_update_model):
logger.info(f"Using model {model_filename} (version {local_ver or 'Unknown'})")
return model_path return model_path
def download():
if not config.nailong_model_dir.exists():
config.nailong_model_dir.mkdir(parents=True)
url = f"{model_base_url}/{model_filename}"
torch.hub.download_url_to_file(url, str(model_path), progress=True)
try: try:
ver = model_version_getter() ver_ret = model_version_getter()
except Exception as e: except Exception as e:
logger.error( logger.error(
f"Failed to get model version of {model_filename}: " f"Failed to get model version of {model_filename}: "
@ -99,6 +108,24 @@ def ensure_model(
else: else:
raise raise
ver = None ver = None
sha = None
else:
if isinstance(ver_ret, tuple):
ver, sha = ver_ret
else:
ver = ver_ret
sha = None
def download():
if not config.nailong_model_dir.exists():
config.nailong_model_dir.mkdir(parents=True)
url = f"{model_base_url}/{model_filename}"
torch.hub.download_url_to_file(
url,
str(model_path),
hash_prefix=sha,
progress=True,
)
if ver is None: if ver is None:
logger.warning("Skip update.") logger.warning("Skip update.")
@ -112,6 +139,7 @@ def ensure_model(
download() download()
model_version_path.write_text(ver, encoding="u8") model_version_path.write_text(ver, encoding="u8")
logger.info(f"Using model {model_filename} (version {local_ver or 'Unknown'})")
return model_path return model_path

168
pdm.lock generated
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@ -5,7 +5,7 @@
groups = ["default", "dev", "model1"] groups = ["default", "dev", "model1"]
strategy = ["inherit_metadata"] strategy = ["inherit_metadata"]
lock_version = "4.5.0" lock_version = "4.5.0"
content_hash = "sha256:efbb65911830ebd164f997b84aa18287a26ffccd24d5b8b0dfd728997d8f527f" content_hash = "sha256:76280489ad4609f78fb53666b7f7e47981abf61e1feb111f76e1f7217e56d80c"
[[metadata.targets]] [[metadata.targets]]
requires_python = "~=3.9" requires_python = "~=3.9"
@ -2430,7 +2430,7 @@ files = [
[[package]] [[package]]
name = "yarl" name = "yarl"
version = "1.17.0" version = "1.17.1"
requires_python = ">=3.9" requires_python = ">=3.9"
summary = "Yet another URL library" summary = "Yet another URL library"
groups = ["default", "dev"] groups = ["default", "dev"]
@ -2440,88 +2440,88 @@ dependencies = [
"propcache>=0.2.0", "propcache>=0.2.0",
] ]
files = [ files = [
{file = "yarl-1.17.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2d8715edfe12eee6f27f32a3655f38d6c7410deb482158c0b7d4b7fad5d07628"}, {file = "yarl-1.17.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b1794853124e2f663f0ea54efb0340b457f08d40a1cef78edfa086576179c91"},
{file = "yarl-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1803bf2a7a782e02db746d8bd18f2384801bc1d108723840b25e065b116ad726"}, {file = "yarl-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fbea1751729afe607d84acfd01efd95e3b31db148a181a441984ce9b3d3469da"},
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[[package]] [[package]]

View File

@ -20,6 +20,7 @@ dependencies = [
"cookit>=0.8.1", "cookit>=0.8.1",
"httpx>=0.27.2", "httpx>=0.27.2",
"githubkit>=0.11.14", "githubkit>=0.11.14",
"yarl>=1.17.1",
] ]
license = { text = "MIT" } license = { text = "MIT" }
readme = "README.md" readme = "README.md"