repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
khoj | src/khoj/processor/conversation/prompts.py | .py | from langchain_core.prompts import PromptTemplate
## Personality
## --
personality = PromptTemplate.from_template(
"""
You are Khoj, a smart, curious, empathetic and helpful personal assistant.
Use your general knowledge and past conversation with the user as context to inform your responses.
You were created by ... | 1,372 | 56,237 |
khoj | src/khoj/processor/conversation/openai/utils.py | .py | import hashlib
import json
import logging
import os
from copy import deepcopy
from time import perf_counter
from typing import AsyncGenerator, Dict, Generator, List, Literal, Optional, Union
from urllib.parse import urlparse
import httpx
import openai
from langchain_core.messages.chat import ChatMessage
from openai.li... | 1,315 | 57,906 |
khoj | src/khoj/processor/conversation/openai/whisper.py | .py | from io import BufferedReader
from asgiref.sync import sync_to_async
from openai import OpenAI
async def transcribe_audio(audio_file: BufferedReader, model, client: OpenAI) -> str:
"""
Transcribe audio file using Whisper model via OpenAI's API
"""
# Send the audio data to the Whisper API
response... | 14 | 447 |
khoj | src/khoj/processor/conversation/openai/gpt.py | .py | import logging
from typing import Any, AsyncGenerator, Dict, List, Optional
from langchain_core.messages.chat import ChatMessage
from khoj.processor.conversation.openai.utils import (
chat_completion_with_backoff,
clean_response_schema,
completion_with_backoff,
get_structured_output_support,
is_ce... | 134 | 4,301 |
khoj | src/khoj/processor/conversation/anthropic/utils.py | .py | import json
import logging
from copy import deepcopy
from time import perf_counter
from typing import AsyncGenerator, Dict, List
import anthropic
from langchain_core.messages.chat import ChatMessage
from pydantic import BaseModel
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_... | 393 | 16,803 |
khoj | src/khoj/processor/conversation/anthropic/anthropic_chat.py | .py | import logging
from typing import AsyncGenerator, List, Optional
from langchain_core.messages.chat import ChatMessage
from khoj.processor.conversation.anthropic.utils import (
anthropic_chat_completion_with_backoff,
anthropic_completion_with_backoff,
)
from khoj.processor.conversation.utils import (
Respo... | 73 | 1,879 |
khoj | src/khoj/processor/conversation/google/utils.py | .py | import json
import logging
import os
import random
import re
from copy import deepcopy
from time import perf_counter
from typing import Any, AsyncGenerator, AsyncIterator, Dict, List
import httpx
from google import genai
from google.genai import errors as gerrors
from google.genai import types as gtypes
from langchain... | 609 | 26,212 |
khoj | src/khoj/processor/conversation/google/gemini_chat.py | .py | import logging
from typing import AsyncGenerator, List, Optional
from langchain_core.messages.chat import ChatMessage
from khoj.processor.conversation.google.utils import (
gemini_chat_completion_with_backoff,
gemini_completion_with_backoff,
)
from khoj.processor.conversation.utils import (
ResponseWithTh... | 83 | 2,176 |
khoj | src/khoj/processor/tools/run_code.py | .py | import asyncio
import base64
import datetime
import logging
import mimetypes
import os
import re
import uuid
from pathlib import Path
from typing import Any, Callable, List, NamedTuple, Optional
import aiohttp
import httpx
from asgiref.sync import sync_to_async
from tenacity import (
before_sleep_log,
retry,
... | 349 | 13,420 |
khoj | src/khoj/processor/tools/mcp.py | .py | import logging
from contextlib import AsyncExitStack
from typing import Optional
from mcp import ClientSession, StdioServerParameters
from mcp.client.sse import sse_client
from mcp.client.stdio import stdio_client
from mcp.types import AudioContent, ImageContent, TextContent
logger = logging.getLogger(__name__)
cla... | 125 | 4,722 |
khoj | src/khoj/processor/tools/online_search.py | .py | import asyncio
import json
import logging
import os
from collections import defaultdict
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
import aiohttp
from bs4 import BeautifulSoup
from markdownify import markdownify
from khoj.database.adapters import ConversationAdapters
from khoj.database.... | 669 | 25,695 |
khoj | src/khoj/processor/operator/operator_agent_binary.py | .py | import json
import logging
from datetime import datetime
from textwrap import dedent
from typing import List, Optional
from khoj.database.models import ChatMessageModel, ChatModel
from khoj.processor.conversation.utils import (
AgentMessage,
OperatorRun,
construct_structured_message,
)
from khoj.processor.... | 406 | 19,980 |
khoj | src/khoj/processor/operator/operator_environment_browser.py | .py | import asyncio
import base64
import io
import logging
import os
from typing import Optional, Set, Union
from khoj.processor.operator.operator_actions import DragAction, OperatorAction, Point
from khoj.processor.operator.operator_environment_base import (
Environment,
EnvState,
EnvStepResult,
)
from khoj.ut... | 398 | 17,895 |
khoj | src/khoj/processor/operator/operator_environment_base.py | .py | from abc import ABC, abstractmethod
from enum import Enum
from typing import Literal, Optional
from pydantic import BaseModel
from khoj.processor.operator.operator_actions import OperatorAction
class EnvironmentType(Enum):
"""Type of environment to operate."""
COMPUTER = "computer"
BROWSER = "browser"
... | 48 | 1,045 |
khoj | src/khoj/processor/operator/operator_agent_anthropic.py | .py | import ast
import json
import logging
from copy import deepcopy
from datetime import datetime
from textwrap import dedent
from typing import List, Literal, Optional, cast
from anthropic.types.beta import BetaContentBlock, BetaTextBlock, BetaToolUseBlock
from khoj.database.models import ChatModel
from khoj.processor.c... | 636 | 32,042 |
khoj | src/khoj/processor/operator/__init__.py | .py | import asyncio
import json
import logging
import os
from typing import Callable, List, Optional
from khoj.database.adapters import AgentAdapters, ConversationAdapters
from khoj.database.models import Agent, ChatMessageModel, ChatModel, KhojUser, UserMemory
from khoj.processor.conversation.utils import (
AgentMessa... | 244 | 11,262 |
khoj | src/khoj/processor/operator/operator_actions.py | .py | # --- Standardized Action Models ---
from typing import List, Literal, Optional, Union
from pydantic import BaseModel
class Point(BaseModel):
x: float
y: float
class BaseAction(BaseModel):
type: str
class ClickAction(BaseAction):
type: Literal["click"] = "click"
x: float
y: float
butt... | 198 | 4,268 |
khoj | src/khoj/processor/operator/operator_agent_base.py | .py | import logging
from abc import ABC, abstractmethod
from typing import List, Optional
from pydantic import BaseModel
from khoj.database.models import ChatModel
from khoj.processor.conversation.utils import (
AgentMessage,
OperatorRun,
commit_conversation_trace,
)
from khoj.processor.operator.operator_actio... | 112 | 4,474 |
khoj | src/khoj/processor/operator/grounding_agent.py | .py | import json
import logging
from textwrap import dedent
from typing import List, Optional
from openai import AzureOpenAI, OpenAI
from openai.types.chat import ChatCompletion, ChatCompletionMessage
from khoj.database.models import ChatModel
from khoj.processor.conversation.utils import construct_structured_message
from... | 413 | 19,093 |
khoj | src/khoj/processor/operator/operator_environment_computer.py | .py | import ast
import asyncio
import base64
import io
import logging
import platform
import subprocess
from typing import Literal, Optional, Union
from PIL import Image, ImageDraw
from khoj.processor.operator.operator_actions import DragAction, OperatorAction, Point
from khoj.processor.operator.operator_environment_base ... | 663 | 31,570 |
khoj | src/khoj/processor/operator/operator_agent_openai.py | .py | import json
import logging
from copy import deepcopy
from datetime import datetime
from textwrap import dedent
from typing import List, Optional, cast
from openai.types.responses import Response, ResponseOutputItem
from khoj.database.models import ChatModel
from khoj.processor.conversation.utils import AgentMessage
f... | 473 | 23,939 |
khoj | src/khoj/processor/operator/grounding_agent_uitars.py | .py | # Source:
# https://github.com/xlang-ai/OSWorld/blob/main/run_uitars.py
# https://github.com/xlang-ai/OSWorld/blob/main/mm_agents/uitars_agent.py
# https://github.com/xlang-ai/OSWorld/blob/main/mm_agents/prompts.py#L1222
# https://github.com/xlang-ai/OSWorld/blob/main/lib_run_single.py
import ast
import base64
import ... | 996 | 42,400 |
khoj | src/khoj/processor/speech/text_to_speech.py | .py | import os
import requests # Used for making HTTP requests
from bs4 import BeautifulSoup
from markdown_it import MarkdownIt
# Define constants for the script
CHUNK_SIZE = 1024 # Size of chunks to read/write at a time
ELEVEN_LABS_API_KEY = os.getenv("ELEVEN_LABS_API_KEY", None) # Your API key for authentication
VOIC... | 55 | 2,011 |
khoj | src/khoj/processor/content/text_to_entries.py | .py | import hashlib
import logging
import re
import uuid
from abc import ABC, abstractmethod
from itertools import repeat
from typing import Any, Callable, List, Set, Tuple
from langchain_text_splitters import RecursiveCharacterTextSplitter
from tqdm import tqdm
from khoj.database.adapters import (
EntryAdapters,
... | 328 | 16,525 |
khoj | src/khoj/processor/content/docx/docx_to_entries.py | .py | import logging
import tempfile
from typing import Dict, List, Tuple
from langchain_community.document_loaders import Docx2txtLoader
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers impor... | 112 | 4,566 |
khoj | src/khoj/processor/content/images/image_to_entries.py | .py | import logging
import os
from datetime import datetime, timezone
from typing import Dict, List, Tuple
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers import timer
from khoj.utils.rawconf... | 120 | 5,203 |
khoj | src/khoj/processor/content/plaintext/plaintext_to_entries.py | .py | import logging
import re
from typing import Dict, List, Tuple
import urllib3
from bs4 import BeautifulSoup
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers import timer
from khoj.utils.r... | 117 | 4,954 |
khoj | src/khoj/processor/content/org_mode/org_to_entries.py | .py | import logging
import re
from pathlib import Path
from typing import Dict, List, Tuple
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.org_mode import orgnode
from khoj.processor.content.org_mode.orgnode import Orgnode
from khoj.processor.content.... | 242 | 10,990 |
khoj | src/khoj/processor/content/org_mode/orgnode.py | .py | # Copyright (c) 2010 Charles Cave
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# files (the "Software"), to deal in the Software without
# restriction, including without limitation the rights to use, copy,
... | 535 | 18,714 |
khoj | src/khoj/processor/content/github/github_to_entries.py | .py | import logging
import time
from typing import Dict, List, Tuple
import requests
from magika import Magika
from khoj.database.models import Entry as DbEntry
from khoj.database.models import GithubConfig, KhojUser
from khoj.processor.content.markdown.markdown_to_entries import MarkdownToEntries
from khoj.processor.cont... | 227 | 10,011 |
khoj | src/khoj/processor/content/pdf/pdf_to_entries.py | .py | import logging
import tempfile
from typing import Dict, Final, List, Tuple
from langchain_community.document_loaders import PyMuPDFLoader
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers... | 121 | 5,027 |
khoj | src/khoj/processor/content/markdown/markdown_to_entries.py | .py | import logging
import re
from typing import Dict, List, Tuple
import urllib3.util
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers import timer
from khoj.utils.rawconfig import Entry
lo... | 189 | 8,573 |
khoj | src/khoj/processor/content/notion/notion_to_entries.py | .py | import logging
from enum import Enum
from typing import Tuple
import requests
from khoj.database.models import Entry as DbEntry
from khoj.database.models import KhojUser, NotionConfig
from khoj.processor.content.text_to_entries import TextToEntries
from khoj.utils.helpers import timer
from khoj.utils.rawconfig import... | 260 | 9,834 |
khoj | src/khoj/database/admin.py | .py | import csv
import json
from datetime import datetime, timedelta
from urllib.parse import quote
from apscheduler.job import Job
from django.contrib import admin, messages
from django.contrib.auth.admin import GroupAdmin as BaseGroupAdmin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from django.contr... | 448 | 13,716 |
khoj | src/khoj/database/apps.py | .py | from django.apps import AppConfig
class DatabaseConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "khoj.database"
| 7 | 153 |
khoj | src/khoj/database/management/commands/convert_images_png_to_webp.py | .py | import base64
import io
from django.core.management.base import BaseCommand
from PIL import Image
from khoj.database.models import Conversation
from khoj.utils.helpers import ImageIntentType
class Command(BaseCommand):
help = "Convert all images to WebP format or reverse."
def add_arguments(self, parser):
... | 100 | 4,630 |
khoj | src/khoj/database/management/commands/manage_memories.py | .py | import asyncio
from datetime import datetime, timedelta
from typing import List, Optional
from django.core.management.base import BaseCommand
from django.db.models import Q
from django.utils import timezone
from khoj.configure import initialize_server
from khoj.database.adapters import UserMemoryAdapters
from khoj.da... | 385 | 16,190 |
khoj | src/khoj/database/management/commands/change_generated_images_url.py | .py | from django.core.management.base import BaseCommand
from tqdm import tqdm
from khoj.database.models import Conversation
from khoj.utils.helpers import ImageIntentType, is_none_or_empty
class Command(BaseCommand):
help = "Serve Khoj generated images from a different URL."
def add_arguments(self, parser):
... | 62 | 2,644 |
khoj | src/khoj/database/management/commands/delete_orphaned_fileobjects.py | .py | from django.core.management.base import BaseCommand
from django.db.models import Exists, OuterRef
from khoj.database.models import Entry, FileObject
class Command(BaseCommand):
help = "Deletes FileObjects that have no associated Entries"
def add_arguments(self, parser):
parser.add_argument(
... | 57 | 2,234 |
khoj | src/khoj/database/management/commands/change_default_model.py | .py | import logging
from typing import List
from django.core.management.base import BaseCommand
from django.db import transaction
from django.db.models import Q
from tqdm import tqdm
from khoj.database.adapters import get_default_search_model
from khoj.database.models import Entry, SearchModelConfig
from khoj.processor.em... | 118 | 4,877 |
khoj | src/khoj/database/models/__init__.py | .py | import logging
import os
import re
import uuid
from random import choice
from typing import Dict, List, Optional, Union
from django.contrib.auth.models import AbstractUser
from django.contrib.postgres.fields import ArrayField
from django.core.exceptions import ValidationError
from django.db import models
from django.d... | 865 | 35,219 |
khoj | src/khoj/database/adapters/__init__.py | .py | import json
import logging
import math
import os
import random
import re
import secrets
import sys
from datetime import date, datetime, timedelta, timezone
from enum import Enum
from functools import wraps
from typing import (
Any,
Callable,
Coroutine,
Iterable,
List,
Optional,
ParamSpec,
... | 2,381 | 95,057 |
khoj | src/khoj/utils/state.py | .py | import os
import threading
from collections import defaultdict
from pathlib import Path
from typing import Dict, List
from apscheduler.schedulers.background import BackgroundScheduler
from openai import OpenAI
from whisper import Whisper
from khoj.database.models import ProcessLock
from khoj.processor.embeddings impo... | 42 | 1,368 |
khoj | src/khoj/utils/models.py | .py | from abc import ABC, abstractmethod
from typing import List
import openai
import torch
from tqdm import trange
class BaseEncoder(ABC):
@abstractmethod
def __init__(self, model_name: str, device: torch.device = None, **kwargs): ...
@abstractmethod
def encode(self, entries: List[str], device: torch.de... | 46 | 1,993 |
khoj | src/khoj/utils/constants.py | .py | from pathlib import Path
from typing import Dict
app_root_directory = Path(__file__).parent.parent.parent
web_directory = app_root_directory / "khoj/interface/web/"
home_directory = web_directory / "home/"
next_js_directory = app_root_directory / "khoj/interface/built/"
pypi_static_directory = app_root_directory / "kh... | 95 | 5,732 |
khoj | src/khoj/utils/rawconfig.py | .py | # System Packages
import json
import uuid
from typing import List, Optional
from pydantic import BaseModel
from khoj.utils.helpers import to_snake_case_from_dash
class ConfigBase(BaseModel):
class Config:
alias_generator = to_snake_case_from_dash
populate_by_name = True
def __getitem__(self... | 152 | 3,533 |
khoj | src/khoj/utils/jsonl.py | .py | import gzip
import json
import logging
from khoj.utils.constants import empty_escape_sequences
from khoj.utils.helpers import get_absolute_path
logger = logging.getLogger(__name__)
def load_jsonl(input_path):
"Read List of JSON objects from JSON line file"
# Initialize Variables
data = []
jsonl_file... | 44 | 1,192 |
khoj | src/khoj/utils/initialization.py | .py | import logging
import os
from typing import Tuple
import openai
from khoj.database.adapters import ConversationAdapters
from khoj.database.models import (
AiModelApi,
ChatModel,
KhojUser,
SpeechToTextModelOptions,
TextToImageModelConfig,
)
from khoj.processor.conversation.utils import model_to_pro... | 294 | 13,121 |
khoj | src/khoj/utils/cli.py | .py | import argparse
import logging
import pathlib
from importlib.metadata import version
logger = logging.getLogger(__name__)
def cli(args=None):
# Setup Argument Parser for the Commandline Interface
parser = argparse.ArgumentParser(description="Start Khoj; An AI personal assistant for your Digital Brain")
p... | 54 | 2,117 |
khoj | src/khoj/utils/helpers.py | .py | from __future__ import annotations # to avoid quoting type hints
import base64
import copy
import datetime
import io
import ipaddress
import json
import logging
import os
import platform
import random
import re
import urllib.parse
import uuid
from collections import OrderedDict
from copy import deepcopy
from enum imp... | 1,253 | 47,301 |
khoj | src/khoj/utils/config.py | .py | # System Packages
from __future__ import annotations # to avoid quoting type hints
from enum import Enum
class SearchType(str, Enum):
All = "all"
Org = "org"
Markdown = "markdown"
Image = "image"
Pdf = "pdf"
Github = "github"
Notion = "notion"
Plaintext = "plaintext"
Docx = "docx... | 17 | 322 |
khoj | src/khoj/utils/yaml.py | .py | import yaml
# Do not emit tags when dumping to YAML
yaml.emitter.Emitter.process_tag = lambda self, *args, **kwargs: None # type: ignore[assignment]
def yaml_dump(data):
return yaml.dump(data, allow_unicode=True, sort_keys=False, default_flow_style=False)
| 9 | 264 |
khoj | src/khoj/search_type/text_search.py | .py | import logging
import math
from pathlib import Path
from typing import List, Optional, Tuple, Type, Union
import requests
import torch
from asgiref.sync import sync_to_async
from sentence_transformers import util
from khoj.database.adapters import EntryAdapters, get_default_search_model
from khoj.database.models impo... | 258 | 9,589 |
khoj | src/khoj/app/asgi.py | .py | """
ASGI config for app project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/4.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault("DJANGO_SETTINGS_... | 17 | 388 |
khoj | src/khoj/app/urls.py | .py | """
URL configuration for app project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
C... | 27 | 870 |
khoj | src/khoj/app/settings.py | .py | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 4.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/4.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/4.2/ref/settings/
"""
import atexit
im... | 276 | 9,005 |
khoj | src/telemetry/telemetry.py | .py | import argparse
import logging
import os
import sqlite3
from typing import Dict, List
import uvicorn
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException
from posthog import Posthog
# Initialize Global App Variables
app = FastAPI()
sqlfile = "data/khoj.sqlite"
logger = logging.getLogger()
logger.... | 78 | 2,774 |
Real-ESRGAN | cog_predict.py | .py | # flake8: noqa
# This file is used for deploying replicate models
# running: cog predict -i img=@inputs/00017_gray.png -i version='General - v3' -i scale=2 -i face_enhance=True -i tile=0
# push: cog push r8.im/xinntao/realesrgan
import os
os.system('pip install gfpgan')
os.system('python setup.py develop')
import cv... | 149 | 6,688 |
Real-ESRGAN | inference_realesrgan_video.py | .py | import argparse
import cv2
import glob
import mimetypes
import numpy as np
import os
import shutil
import subprocess
import torch
from basicsr.archs.rrdbnet_arch import RRDBNet
from basicsr.utils.download_util import load_file_from_url
from os import path as osp
from tqdm import tqdm
from realesrgan import RealESRGANe... | 399 | 16,910 |
Real-ESRGAN | setup.py | .py | #!/usr/bin/env python
from setuptools import find_packages, setup
import os
import subprocess
import time
version_file = 'realesrgan/version.py'
def readme():
with open('README.md', encoding='utf-8') as f:
content = f.read()
return content
def get_git_hash():
def _minimal_ext_cmd(cmd):
... | 108 | 3,145 |
Real-ESRGAN | inference_realesrgan.py | .py | import argparse
import cv2
import glob
import os
from basicsr.archs.rrdbnet_arch import RRDBNet
from basicsr.utils.download_util import load_file_from_url
from realesrgan import RealESRGANer
from realesrgan.archs.srvgg_arch import SRVGGNetCompact
def main():
"""Inference demo for Real-ESRGAN.
"""
parser ... | 167 | 7,745 |
Real-ESRGAN | realesrgan/utils.py | .py | import cv2
import math
import numpy as np
import os
import queue
import threading
import torch
from basicsr.utils.download_util import load_file_from_url
from torch.nn import functional as F
ROOT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
class RealESRGANer():
"""A helper class for upsampl... | 314 | 12,605 |
Real-ESRGAN | realesrgan/train.py | .py | # flake8: noqa
import os.path as osp
from basicsr.train import train_pipeline
import realesrgan.archs
import realesrgan.data
import realesrgan.models
if __name__ == '__main__':
root_path = osp.abspath(osp.join(__file__, osp.pardir, osp.pardir))
train_pipeline(root_path)
| 12 | 281 |
Real-ESRGAN | realesrgan/archs/discriminator_arch.py | .py | from basicsr.utils.registry import ARCH_REGISTRY
from torch import nn as nn
from torch.nn import functional as F
from torch.nn.utils import spectral_norm
@ARCH_REGISTRY.register()
class UNetDiscriminatorSN(nn.Module):
"""Defines a U-Net discriminator with spectral normalization (SN)
It is used in Real-ESRGAN... | 68 | 3,020 |
Real-ESRGAN | realesrgan/archs/srvgg_arch.py | .py | from basicsr.utils.registry import ARCH_REGISTRY
from torch import nn as nn
from torch.nn import functional as F
@ARCH_REGISTRY.register()
class SRVGGNetCompact(nn.Module):
"""A compact VGG-style network structure for super-resolution.
It is a compact network structure, which performs upsampling in the last ... | 70 | 2,722 |
Real-ESRGAN | realesrgan/archs/__init__.py | .py | import importlib
from basicsr.utils import scandir
from os import path as osp
# automatically scan and import arch modules for registry
# scan all the files that end with '_arch.py' under the archs folder
arch_folder = osp.dirname(osp.abspath(__file__))
arch_filenames = [osp.splitext(osp.basename(v))[0] for v in scand... | 11 | 500 |
Real-ESRGAN | realesrgan/data/realesrgan_paired_dataset.py | .py | import os
from basicsr.data.data_util import paired_paths_from_folder, paired_paths_from_lmdb
from basicsr.data.transforms import augment, paired_random_crop
from basicsr.utils import FileClient, imfrombytes, img2tensor
from basicsr.utils.registry import DATASET_REGISTRY
from torch.utils import data as data
from torchv... | 109 | 5,015 |
Real-ESRGAN | realesrgan/data/__init__.py | .py | import importlib
from basicsr.utils import scandir
from os import path as osp
# automatically scan and import dataset modules for registry
# scan all the files that end with '_dataset.py' under the data folder
data_folder = osp.dirname(osp.abspath(__file__))
dataset_filenames = [osp.splitext(osp.basename(v))[0] for v ... | 11 | 519 |
Real-ESRGAN | realesrgan/data/realesrgan_dataset.py | .py | import cv2
import math
import numpy as np
import os
import os.path as osp
import random
import time
import torch
from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels
from basicsr.data.transforms import augment
from basicsr.utils import FileClient, get_root_logger, imfrombytes, img2tensor
... | 193 | 8,733 |
Real-ESRGAN | realesrgan/models/realesrgan_model.py | .py | import numpy as np
import random
import torch
from basicsr.data.degradations import random_add_gaussian_noise_pt, random_add_poisson_noise_pt
from basicsr.data.transforms import paired_random_crop
from basicsr.models.srgan_model import SRGANModel
from basicsr.utils import DiffJPEG, USMSharp
from basicsr.utils.img_proce... | 259 | 11,781 |
Real-ESRGAN | realesrgan/models/__init__.py | .py | import importlib
from basicsr.utils import scandir
from os import path as osp
# automatically scan and import model modules for registry
# scan all the files that end with '_model.py' under the model folder
model_folder = osp.dirname(osp.abspath(__file__))
model_filenames = [osp.splitext(osp.basename(v))[0] for v in s... | 11 | 510 |
Real-ESRGAN | realesrgan/models/realesrnet_model.py | .py | import numpy as np
import random
import torch
from basicsr.data.degradations import random_add_gaussian_noise_pt, random_add_poisson_noise_pt
from basicsr.data.transforms import paired_random_crop
from basicsr.models.sr_model import SRModel
from basicsr.utils import DiffJPEG, USMSharp
from basicsr.utils.img_process_uti... | 189 | 9,098 |
Real-ESRGAN | tests/test_discriminator_arch.py | .py | import torch
from realesrgan.archs.discriminator_arch import UNetDiscriminatorSN
def test_unetdiscriminatorsn():
"""Test arch: UNetDiscriminatorSN."""
# model init and forward (cpu)
net = UNetDiscriminatorSN(num_in_ch=3, num_feat=4, skip_connection=True)
img = torch.rand((1, 3, 32, 32), dtype=torch.... | 20 | 561 |
Real-ESRGAN | tests/test_model.py | .py | import torch
import yaml
from basicsr.archs.rrdbnet_arch import RRDBNet
from basicsr.data.paired_image_dataset import PairedImageDataset
from basicsr.losses.losses import GANLoss, L1Loss, PerceptualLoss
from realesrgan.archs.discriminator_arch import UNetDiscriminatorSN
from realesrgan.models.realesrgan_model import R... | 127 | 4,861 |
Real-ESRGAN | tests/test_utils.py | .py | import numpy as np
from basicsr.archs.rrdbnet_arch import RRDBNet
from realesrgan.utils import RealESRGANer
def test_realesrganer():
# initialize with default model
restorer = RealESRGANer(
scale=4,
model_path='experiments/pretrained_models/RealESRGAN_x4plus.pth',
model=None,
... | 88 | 3,089 |
Real-ESRGAN | tests/test_dataset.py | .py | import pytest
import yaml
from realesrgan.data.realesrgan_dataset import RealESRGANDataset
from realesrgan.data.realesrgan_paired_dataset import RealESRGANPairedDataset
def test_realesrgan_dataset():
with open('tests/data/test_realesrgan_dataset.yml', mode='r') as f:
opt = yaml.load(f, Loader=yaml.FullL... | 152 | 6,037 |
Real-ESRGAN | scripts/generate_meta_info_pairdata.py | .py | import argparse
import glob
import os
def main(args):
txt_file = open(args.meta_info, 'w')
# sca images
img_paths_gt = sorted(glob.glob(os.path.join(args.input[0], '*')))
img_paths_lq = sorted(glob.glob(os.path.join(args.input[1], '*')))
assert len(img_paths_gt) == len(img_paths_lq), ('GT folder ... | 50 | 1,987 |
Real-ESRGAN | scripts/generate_meta_info.py | .py | import argparse
import cv2
import glob
import os
def main(args):
txt_file = open(args.meta_info, 'w')
for folder, root in zip(args.input, args.root):
img_paths = sorted(glob.glob(os.path.join(folder, '*')))
for img_path in img_paths:
status = True
if args.check:
... | 59 | 2,114 |
Real-ESRGAN | scripts/extract_subimages.py | .py | import argparse
import cv2
import numpy as np
import os
import sys
from basicsr.utils import scandir
from multiprocessing import Pool
from os import path as osp
from tqdm import tqdm
def main(args):
"""A multi-thread tool to crop large images to sub-images for faster IO.
opt (dict): Configuration dict. It co... | 136 | 5,062 |
Real-ESRGAN | scripts/pytorch2onnx.py | .py | import argparse
import torch
import torch.onnx
from basicsr.archs.rrdbnet_arch import RRDBNet
def main(args):
# An instance of the model
model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_ch=32, scale=4)
if args.params:
keyname = 'params'
else:
keyname = 'pa... | 37 | 1,247 |
Real-ESRGAN | scripts/generate_multiscale_DF2K.py | .py | import argparse
import glob
import os
from PIL import Image
def main(args):
# For DF2K, we consider the following three scales,
# and the smallest image whose shortest edge is 400
scale_list = [0.75, 0.5, 1 / 3]
shortest_edge = 400
path_list = sorted(glob.glob(os.path.join(args.input, '*')))
... | 49 | 1,725 |
HanLP | setup.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-28 19:26
import sys
from os.path import abspath, join, dirname
from setuptools import find_packages, setup
this_dir = abspath(dirname(__file__))
with open(join(this_dir, 'README.md'), encoding='utf-8') as file:
long_description = file.read()
version = {}
with... | 75 | 2,412 |
HanLP | hanlp/__init__.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-06-13 18:05
import hanlp.common
import hanlp.components
import hanlp.pretrained
import hanlp.utils
from hanlp.version import __version__
hanlp.utils.ls_resource_in_module(hanlp.pretrained)
def load(save_dir: str, verbose=None, **kwargs) -> hanlp.common.component.C... | 58 | 2,073 |
HanLP | hanlp/version.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-28 19:26
__version__ = '2.1.0-beta.64'
"""HanLP version"""
class NotCompatible(Exception):
pass
| 11 | 159 |
HanLP | hanlp/pretrained/eos.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-12-22 13:22
from hanlp_common.constant import HANLP_URL
UD_CTB_EOS_MUL = HANLP_URL + 'eos/eos_ud_ctb_mul_20201222_133543.zip'
'EOS model (:cite:`Schweter:Ahmed:2019`) trained on concatenated UD2.3 and CTB9.'
# Will be filled up during runtime
ALL = {}
| 11 | 307 |
HanLP | hanlp/pretrained/constituency.py | .py | # -*- coding:utf-8 -*-
# Author=hankcs
# Date=2022-01-18 10:34
from hanlp_common.constant import HANLP_URL
CTB9_CON_ELECTRA_SMALL = HANLP_URL + 'constituency/ctb9_con_electra_small_20220215_230116.zip'
'Electra (:cite:`clark2020electra`) small tree CRF model (:cite:`ijcai2020-560`) trained on CTB9 with major categorie... | 20 | 1,179 |
HanLP | hanlp/pretrained/mtl.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-12-22 13:16
from hanlp_common.constant import HANLP_URL
OPEN_TOK_POS_NER_SRL_DEP_SDP_CON_ELECTRA_SMALL_ZH = HANLP_URL + 'mtl/open_tok_pos_ner_srl_dep_sdp_con_electra_small_20201223_035557.zip'
"Electra (:cite:`clark2020electra`) small version of joint tok, pos, ner,... | 46 | 9,302 |
HanLP | hanlp/pretrained/pos.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-29 01:57
from hanlp_common.constant import HANLP_URL
CTB5_POS_RNN = HANLP_URL + 'pos/ctb5_pos_rnn_20200113_235925.zip'
'An old school BiLSTM tagging model trained on CTB5.'
CTB5_POS_RNN_FASTTEXT_ZH = HANLP_URL + 'pos/ctb5_pos_rnn_fasttext_20191230_202639.zip'
'An... | 26 | 1,946 |
HanLP | hanlp/pretrained/amr.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2022-01-25 11:47
from hanlp_common.constant import HANLP_URL
AMR3_SEQ2SEQ_BART_LARGE = HANLP_URL + 'amr/amr3_seq2seq_bart_large_83.30_20220125_114450.zip'
'''A seq2seq (:cite:`bevilacqua-etal-2021-one`) BART (:cite:`lewis-etal-2020-bart`) large parser trained on Abstract... | 73 | 3,783 |
HanLP | hanlp/pretrained/fasttext.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-30 18:57
FASTTEXT_DEBUG_EMBEDDING_EN = 'https://elit-models.s3-us-west-2.amazonaws.com/fasttext.debug.bin.zip'
FASTTEXT_CC_300_EN = 'https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.en.300.bin.gz'
'FastText (:cite:`bojanowski2017enriching`) embeddings trai... | 17 | 1,026 |
HanLP | hanlp/pretrained/sts.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2021-05-24 12:51
from hanlp_common.constant import HANLP_URL
STS_ELECTRA_BASE_ZH = HANLP_URL + 'sts/sts_electra_base_zh_20210530_200109.zip'
'A naive regression model trained on concatenated STS corpora.'
# Will be filled up during runtime
ALL = {}
| 11 | 299 |
HanLP | hanlp/pretrained/classifiers.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-01-01 03:51
from hanlp_common.constant import HANLP_URL
CHNSENTICORP_BERT_BASE_ZH = HANLP_URL + 'classification/chnsenticorp_bert_base_20211228_163210.zip'
SST2_ALBERT_BASE_EN = HANLP_URL + 'classification/sst2_albert_base_20211228_164917.zip'
LID_176_FASTTEXT_BASE... | 19 | 722 |
HanLP | hanlp/pretrained/ner.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-30 20:07
from hanlp_common.constant import HANLP_URL
MSRA_NER_BERT_BASE_ZH = HANLP_URL + 'ner/ner_bert_base_msra_20211227_114712.zip'
'BERT model (:cite:`devlin-etal-2019-bert`) trained on MSRA with 3 entity types.'
MSRA_NER_ALBERT_BASE_ZH = HANLP_URL + 'ner/msra... | 16 | 801 |
HanLP | hanlp/pretrained/amr2text.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2022-12-07 15:19
from hanlp_common.constant import HANLP_URL
AMR3_GRAPH_PRETRAIN_GENERATION = HANLP_URL + 'amr2text/amr3_graph_pretrain_generation_20221207_153535.zip'
'''A seq2seq (:cite:`bevilacqua-etal-2021-one`) BART (:cite:`lewis-etal-2020-bart`) large AMR2Text gene... | 14 | 576 |
HanLP | hanlp/pretrained/word2vec.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-21 18:25
from hanlp_common.constant import HANLP_URL
CONVSEG_W2V_NEWS_TENSITE = HANLP_URL + 'embeddings/convseg_embeddings.zip'
CONVSEG_W2V_NEWS_TENSITE_WORD_PKU = CONVSEG_W2V_NEWS_TENSITE + '#news_tensite.pku.words.w2v50'
CONVSEG_W2V_NEWS_TENSITE_WORD_MSR = CONV... | 39 | 2,962 |
HanLP | hanlp/pretrained/rnnlm.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-19 03:47
from hanlp_common.constant import HANLP_URL
FLAIR_LM_FW_WMT11_EN_TF = HANLP_URL + 'lm/flair_lm_wmt11_en_20200211_091932.zip#flair_lm_fw_wmt11_en'
'The forward LSTM of Contextual String Embedding (:cite:`akbik-etal-2018-contextual`).'
FLAIR_LM_BW_WMT11_EN... | 14 | 658 |
HanLP | hanlp/pretrained/sdp.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-31 23:54
from hanlp_common.constant import HANLP_URL
SEMEVAL16_NEWS_BIAFFINE_ZH = HANLP_URL + 'sdp/semeval16-news-biaffine_20191231_235407.zip'
'Biaffine SDP (:cite:`he-choi-2019`) trained on SemEval16 news data.'
SEMEVAL16_TEXT_BIAFFINE_ZH = HANLP_URL + 'sdp/sem... | 22 | 1,132 |
HanLP | hanlp/pretrained/tok.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-12-28 21:12
from hanlp_common.constant import HANLP_URL
SIGHAN2005_PKU_CONVSEG = HANLP_URL + 'tok/sighan2005-pku-convseg_20200110_153722.zip'
'Conv model (:cite:`wang-xu-2017-convolutional`) trained on sighan2005 pku dataset.'
SIGHAN2005_MSR_CONVSEG = HANLP_URL + 't... | 52 | 6,162 |
HanLP | hanlp/pretrained/glove.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-08-27 20:42
_GLOVE_6B_ROOT = 'http://downloads.cs.stanford.edu/nlp/data/glove.6B.zip'
GLOVE_6B_50D = _GLOVE_6B_ROOT + '#' + 'glove.6B.50d.txt'
'Global Vectors for Word Representation (:cite:`pennington-etal-2014-glove`) 50d trained on 6B tokens.'
GLOVE_6B_100D = _G... | 20 | 981 |
HanLP | hanlp/pretrained/srl.py | .py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2021-08-07 19:07
from hanlp_common.constant import HANLP_URL
CPB3_SRL_ELECTRA_SMALL = HANLP_URL + 'srl/cpb3_electra_small_crf_has_transform_20220218_135910.zip'
'Electra small model (:cite:`clark2020electra`) trained on CPB3. P=75.87% R=76.24% F1=76.05%.'
ALL = {}
| 10 | 315 |
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