repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
values | owner stringclasses 28
values | repo_name stringclasses 28
values | description stringclasses 28
values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
values | file_raw_url stringclasses 627
values | file_sha stringclasses 624
values | language stringclasses 8
values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/fix_location.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:43.998929 | #!/usr/bin/env python3
"""
Fix location problems in the activities database.
This script fixes common location-related issues:
1. Activities with "China" as location that should have more specific location data
2. Activities with missing location_country that have valid coordinates
3. Activities with incorrect locatio... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/garmin_device_adaptor.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.001918 | import traceback
from io import BytesIO
try:
from fit_tool.fit_file import FitFile
from fit_tool.fit_file_builder import FitFileBuilder
from fit_tool.profile.messages.device_info_message import DeviceInfoMessage
from fit_tool.profile.messages.record_message import RecordMessage
FIT_TOOL_AVAILABLE ... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/auto_share_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.004013 | import argparse
from openai import OpenAI
from config import SQL_FILE, PNG_FOLDER
from generator import Generator
import polyline
import base64
import os
import cairosvg # 替换 svglib.svglib 和 reportlab.graphics
SVG_WIDTH = 800
SVG_HEIGHT = 600
SVG_MARGIN = 30
BACKGROUND_COLOR = "#f8f9fa"
POLYLINE_COLOR = "rgb(224,237,... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/data_to_csv.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.007633 | import sqlite3
try:
import pandas as pd
except Exception:
raise Exception("please install pandas run: pip3 install pandas")
from math import floor
data = sqlite3.connect("run_page/data.db")
df = pd.read_sql_query("SELECT * FROM activities", data)
def apply_duration_time(d):
try:
return d.split()... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/coros_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.010219 | import argparse
import asyncio
import hashlib
import os
import time
import aiofiles
import httpx
from config import JSON_FILE, SQL_FILE, FOLDER_DICT
from utils import make_activities_file
COROS_URL_DICT = {
"LOGIN_URL": "https://teamcnapi.coros.com/account/login",
"DOWNLOAD_URL": "https://teamcnapi.coros.com... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/config.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.011294 | import os
from collections import namedtuple
# getting content root directory
current = os.path.dirname(os.path.realpath(__file__))
parent = os.path.dirname(current)
OUTPUT_DIR = os.path.join(parent, "activities")
GPX_FOLDER = os.path.join(parent, "GPX_OUT")
TCX_FOLDER = os.path.join(parent, "TCX_OUT")
FIT_FOLDER = o... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/endomondo_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.012610 | """
need to download the files from endomondo
and store it in Workouts dir in running_page
"""
import json
import os
from collections import namedtuple
from datetime import datetime, timedelta
import polyline
from config import BASE_TIMEZONE, ENDOMONDO_FILE_DIR, JSON_FILE, SQL_FILE
from generator import Generator
fr... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/codoon_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.016890 | import argparse
import base64
import hashlib
import hmac
import json
import os
import time
import urllib.parse
import xml.etree.ElementTree as ET
from collections import namedtuple
from datetime import datetime, timedelta, timezone
from xml.dom import minidom
import eviltransform
import gpxpy
import numpy as np
import ... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/db_updater.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.034822 | from generator.db import init_db, Activity
from config import SQL_FILE
import sqlalchemy
from sqlalchemy import text
from config import GPX_FOLDER, JSON_FILE
from utils import make_activities_file
def add_column_elevation_gain(session):
# check if column elevation_gain is already added
# if not add it to the ... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/generator/db.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.790240 | import datetime
import random
import string
from geopy.geocoders import options, Nominatim
from sqlalchemy import (
Column,
Float,
Integer,
Interval,
String,
create_engine,
inspect,
text,
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/garmin_to_strava_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.790755 | """
new garmin ids to strava;
not the same logic as nike_to_strava_sync
"""
import argparse
import asyncio
import os
import sys
import time
from config import FOLDER_DICT
from garmin_sync import download_new_activities, get_downloaded_ids
from strava_sync import run_strava_sync
from utils import make_strava_client, u... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gen_svg.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.792939 | import argparse
import logging
import os
import sys
from config import SQL_FILE
from gpxtrackposter import (
circular_drawer,
github_drawer,
grid_drawer,
poster,
track_loader,
month_of_life_drawer,
year_summary_drawer,
)
from gpxtrackposter.exceptions import ParameterError, PosterError
# f... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpx_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.794076 | """
If you do not want bind any account
Only the gpx files in GPX_OUT sync
"""
from config import GPX_FOLDER, JSON_FILE, SQL_FILE
from utils import make_activities_file
if __name__ == "__main__":
print("only sync gpx files in GPX_OUT")
make_activities_file(SQL_FILE, GPX_FOLDER, JSON_FILE)
|
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/garmin_sync_cn_global.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.795722 | """
Python 3 API wrapper for Garmin Connect to get your statistics.
Copy most code from https://github.com/cyberjunky/python-garminconnect
"""
import argparse
import asyncio
import os
import sys
from config import FIT_FOLDER, GPX_FOLDER, JSON_FILE, SQL_FILE
from garmin_sync import Garmin, get_downloaded_ids
from gar... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/generator/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.797179 | import datetime
import math
import os
import sys
import arrow
import polyline as polyline_codec
import stravalib
from gpxtrackposter import track_loader
from sqlalchemy import func
from polyline_processor import filter_out
from synced_data_file_logger import save_synced_data_file_list
from .db import Activity, init_... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/garmin_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.799930 | """
Python 3 API wrapper for Garmin Connect to get your statistics.
Copy most code from https://github.com/cyberjunky/python-garminconnect
"""
import argparse
import asyncio
import datetime as dt
import logging
import os
os.environ["GARTH_TELEMETRY_ENABLED"] = "false"
import sys
import time
import traceback
import zi... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpx_to_strava_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.860363 | import argparse
import os
import time
import gpxpy as mod_gpxpy
from config import GPX_FOLDER
from strava_sync import run_strava_sync
from stravalib.exc import ActivityUploadFailed, RateLimitTimeout
from utils import get_strava_last_time, make_strava_client, upload_file_to_strava
def get_to_generate_files(last_time)... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/get_garmin_secret.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:44.952328 | import argparse
import garth
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("email", nargs="?", help="email of garmin")
parser.add_argument("password", nargs="?", help="password of garmin")
parser.add_argument(
"--is-cn",
dest="is_cn",
action=... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/grid_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.380388 | """Draw a grid poster."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import svgwrite
from .exceptions import PosterError
from .poster import Poster
from .track import Track
from .t... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/exceptions.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.381993 | # Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
class PosterError(Exception):
"Base class for all errors"
pass
class TrackLoadError(PosterError):
"Something went wrong whe... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/github_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.384661 | import calendar
import datetime
import locale
import argparse
import svgwrite
from .exceptions import PosterError
from .poster import Poster
from .tracks_drawer import TracksDrawer
from .utils import format_float
from .xy import XY
class GithubDrawer(TracksDrawer):
"""Draw a github profile-like poster"""
d... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/month_of_life_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.386181 | import math
import datetime
import svgwrite
from .exceptions import PosterError
from .tracks_drawer import TracksDrawer
from .utils import format_float
from .xy import XY
class MonthOfLifeDrawer(TracksDrawer):
"""Draw a Month of Life poster with 1000 months as circles"""
def __init__(self, the_poster):
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/poster.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.387238 | """Create a poster from track data."""
import gettext
import locale
from collections import defaultdict
from datetime import datetime
import pytz
import svgwrite
from .utils import format_float
from .value_range import ValueRange
from .xy import XY
from .year_range import YearRange
class Poster:
"""Create a po... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/track.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.388310 | """Create and maintain info about a given activity track (corresponding to one GPX file)."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
# 2019-now yihong0618 Florian Pigorsch & Contributors. All rights reserved.
# Use of this source code is governed by a MIT-style
# license that can be... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/circular_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:46.389475 | """Draw a circular Poster."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import argparse
import calendar
import datetime
import math
from typing import List, Optional
import svgwri... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.687973 | """Assorted utility methods for use in creating posters."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import locale
import math
from datetime import datetime
from typing import Lis... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/tracks_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.689441 | """Contains the base class TracksDrawer, which other Drawers inherit from."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import argparse
import svgwrite
from .poster import Poster... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/xy.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.865150 | """Represent x,y coords with properly overloaded operations."""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
from typing import Tuple, Union
class XY:
"""Represent x,y coords wi... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/year_summary_drawer.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.866350 | """Draw a Year Summary poster similar to Cursor stats style."""
import datetime
from collections import defaultdict
import svgwrite
from .tracks_drawer import TracksDrawer
from .xy import XY
class YearSummaryDrawer(TracksDrawer):
"""Draw a Year Summary poster with monthly activity dots and statistics"""
d... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/value_range.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.868944 | """Represent a range of numerical values"""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
class ValueRange:
"""Represent a range of numerical values.
Attributes:
_low... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/intervals_icu_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.887997 | import argparse
import gzip
import os
import time
import xml.etree.ElementTree as ET
from datetime import datetime
import eviltransform
import gpxpy
import requests
from requests.auth import HTTPBasicAuth
from config import JSON_FILE, SQL_FILE, FOLDER_DICT
from utils import make_activities_file
BASE_URL = "https://i... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/year_range.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.889619 | """Represent a range of years, with ability to update based on a track"""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import datetime
import re
from typing import Optional
class Ye... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/joyrun_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:48.891020 | # some code from https://github.com/fieryd/PKURunningHelper great thanks
import argparse
import ast
import json
import os
import subprocess
import sys
import time
import warnings
from collections import namedtuple
from datetime import datetime, timedelta, timezone
from xml.dom import minidom
from hashlib import md5
fro... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/keep_to_strava_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.274666 | import argparse
import json
import os
import time
from collections import namedtuple
from config import GPX_FOLDER, OUTPUT_DIR
from keep_sync import KEEP_SPORT_TYPES, get_all_keep_tracks
from strava_sync import run_strava_sync
from stravalib.exc import ActivityUploadFailed, RateLimitTimeout
from utils import make_str... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/keep_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.277607 | import argparse
import base64
import json
import os
import time
import zlib
from collections import namedtuple
from datetime import datetime, timedelta, timezone
from xml.dom import minidom
import eviltransform
import gpxpy
import polyline
import requests
from config import (
GPX_FOLDER,
JSON_FILE,
SQL_FILE... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/nike_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.468327 | import argparse
import json
import logging
import os.path
import time
from collections import namedtuple
from datetime import datetime, timedelta, timezone
from xml.etree import ElementTree
import gpxpy.gpx
import httpx
from config import (
BASE_TIMEZONE,
GPX_FOLDER,
JSON_FILE,
OUTPUT_DIR,
SQL_FILE... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/komoot_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.505159 | # some code from
# https://github.com/timschneeb/KomootGPX.git
# great thanks
import os
import re
import sys
import argparse
import base64
import requests
from datetime import datetime, timedelta
import gpxpy.gpx
from config import GPX_FOLDER
def extract_user_from_tip(json):
if (
"_embedded" in json
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/onelap_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.505673 | # some code from
# https://github.com/DreamMryang/synchronizeTheRecordingOfOnelapToGiant.git
# https://github.com/moruoxian/SyncOnelapToXoss.git
# great thanks
import os
import uuid
import hashlib
import time
import argparse
import requests
from config import FIT_FOLDER
SIGNIN_URL = "https://www.onelap.cn/api/login"
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/oppo_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.522607 | import argparse
import hashlib
import json
import os
import time
import xml.etree.ElementTree as ET
from collections import namedtuple
from datetime import datetime, timedelta, timezone
from xml.dom import minidom
import gpxpy
import polyline
import requests
from tzlocal import get_localzone
from config import (
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/nike_to_strava_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.534231 | import argparse
import os
import time
from config import OUTPUT_DIR
from nike_sync import make_new_gpxs, run
from strava_sync import run_strava_sync
from utils import make_strava_client, get_strava_last_time, upload_file_to_strava
def get_to_generate_files(last_time):
file_names = os.listdir(OUTPUT_DIR)
ret... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/polyline_processor.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.563902 | from typing import List, Tuple
import polyline
import os
import warnings
from haversine import haversine
# Initialize IGNORE_POLYLINE with graceful error handling
IGNORE_POLYLINE = []
ignore_polyline_env = os.getenv("IGNORE_POLYLINE")
if ignore_polyline_env:
try:
IGNORE_POLYLINE = polyline.decode(ignore_po... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/save_to_parqent.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.844904 | import duckdb
with duckdb.connect() as conn:
conn.install_extension("sqlite")
conn.load_extension("sqlite")
conn.sql("ATTACH 'run_page/data.db' (TYPE SQLITE);USE data;")
conn.sql(
"COPY (SELECT * FROM activities) TO 'run_page/data.parquet' (FORMAT PARQUET);"
)
"""
examples:
duckdb.sql("se... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/strava_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:49.874193 | import argparse
import json
from config import JSON_FILE, SQL_FILE
from generator import Generator
# for only run type, we use the same logic as garmin_sync
def run_strava_sync(
client_id,
client_secret,
refresh_token,
sync_types: list = [],
only_run=False,
):
generator = Generator(SQL_FILE)
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/strava_to_garmin_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:50.098176 | import argparse
import asyncio
from datetime import datetime
from garmin_sync import Garmin
from strava_sync import run_strava_sync
from stravaweblib import DataFormat, WebClient
from utils import make_strava_client
async def upload_to_activities(
garmin_client, strava_client, strava_web_client, format, use_fake... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/tcx_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:50.098843 | """
If you do not want bind any account
Only the gpx files in GPX_OUT sync
"""
from config import JSON_FILE, SQL_FILE, TCX_FOLDER
from utils import make_activities_file
if __name__ == "__main__":
print("only sync tcx files in TCX_OUT")
make_activities_file(SQL_FILE, TCX_FOLDER, JSON_FILE, file_suffix="tcx")
|
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/synced_data_file_logger.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:50.154867 | import os
from config import SYNCED_FILE
import json
def save_synced_data_file_list(file_list: list):
old_list = load_synced_file_list()
with open(SYNCED_FILE, "w") as f:
file_list.extend(old_list)
json.dump(file_list, f)
def load_synced_file_list():
if os.path.exists(SYNCED_FILE):
... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/igpsport_sync.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:52.390585 | import os
import sys
import argparse
import requests
from config import (
GPX_FOLDER,
TCX_FOLDER,
FIT_FOLDER,
)
BASE_URL = "https://prod.zh.igpsport.com/service/"
LOGIN_URL = BASE_URL + "auth/account/login"
ACTIVITY_URL = BASE_URL + "web-gateway/web-analyze/activity/"
QUERY_URL = ACTIVITY_URL + "queryMyAct... |
yihong0618/running_page | https://github.com/yihong0618/running_page | null | null | null | null | 4,444 | null | null | mit | null | null | null | null | null | null | null | run_page/gpxtrackposter/track_loader.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:55.566095 | """Handle parsing of GPX files"""
# Copyright 2016-2019 Florian Pigorsch & Contributors. All rights reserved.
# 2019-now Yihong0618
#
# Use of this source code is governed by a MIT-style
# license that can be found in the LICENSE file.
import logging
import os
import sys
sys.path.append(os.path.join(os.path.dirname(... |
PiotrMachowski/Xiaomi-cloud-tokens-extractor | https://github.com/PiotrMachowski/Xiaomi-cloud-tokens-extractor | null | null | null | null | 4,424 | null | null | mit | null | null | null | null | null | null | null | token_extractor.py | null | null | null | null | null | null | Python | 2026-05-04T02:00:57.674387 | from abc import ABC, abstractmethod
import argparse
import base64
import hashlib
import hmac
import json
import logging
import os
import random
import re
import socket
import sys
import tempfile
import threading
import time
from getpass import getpass
from http.server import BaseHTTPRequestHandler, HTTPServer
from urll... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/bert_CNN.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.458675 | # coding: UTF-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'bert'
self.train_path = dataset + '/data/train.txt' ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/__main__.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.471974 | # coding: utf8
def main():
import sys
if (len(sys.argv) != 4 and len(sys.argv) != 5) or sys.argv[1] not in [
"convert_tf_checkpoint_to_pytorch",
"convert_openai_checkpoint",
"convert_transfo_xl_checkpoint",
"convert_gpt2_checkpoint",
]:
print(
"Should be used ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/convert_openai_checkpoint_to_pytorch.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.488625 | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/bert.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.489959 | # coding: UTF-8
import torch
import torch.nn as nn
# from pytorch_pretrained_bert import BertModel, BertTokenizer
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'bert'
self.train_path = dataset + '/data/t... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/ERNIE.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.491713 | # coding: UTF-8
import torch
import torch.nn as nn
# from pytorch_pretrained_bert import BertModel, BertTokenizer
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'ERNIE'
self.train_path = dataset + '/data/t... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/bert_DPCNN.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.493381 | # coding: UTF-8
import torch
import torch.nn as nn
import torch.nn.functional as F
# from pytorch_pretrained_bert import BertModel, BertTokenizer
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'bert'
self... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/convert_gpt2_checkpoint_to_pytorch.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.494507 | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/bert_RNN.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.500279 | # coding: UTF-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'bert'
self.train_path = dataset + '/data/train.txt' ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.541807 | __version__ = "0.6.2"
from .tokenization import BertTokenizer, BasicTokenizer, WordpieceTokenizer
from .tokenization_openai import OpenAIGPTTokenizer
from .tokenization_transfo_xl import (TransfoXLTokenizer, TransfoXLCorpus)
from .tokenization_gpt2 import GPT2Tokenizer
from .modeling import (BertConfig, BertModel, Ber... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | models/bert_RCNN.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:00.542406 | # coding: UTF-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_pretrained import BertModel, BertTokenizer
class Config(object):
"""配置参数"""
def __init__(self, dataset):
self.model_name = 'bert'
self.train_path = dataset + '/data/train.txt' ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/file_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.103083 | """
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP authors.
"""
from __future__ import (absolute_import, division, print_function, unicode_literals)
import sys
import json
import logging
import os
impor... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/convert_tf_checkpoint_to_pytorch.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.121693 | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/convert_transfo_xl_checkpoint_to_pytorch.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.127949 | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/modeling_transfo_xl_utilities.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.131871 | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/modeling_openai.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.158648 | # coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/optimization.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.169134 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/optimization_openai.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.176723 | # coding=utf-8
# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/modeling_gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.189349 | # coding=utf-8
# Copyright 2018 The OpenAI Team Authors and HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/modeling_transfo_xl.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.190040 | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/modeling.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.198559 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/tokenization.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.688471 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/tokenization_openai.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.748735 | # coding=utf-8
# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/tokenization_transfo_xl.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.749499 | # coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | pytorch_pretrained/tokenization_gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.750477 | # coding=utf-8
# Copyright 2018 The Open AI Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# ... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | train_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.782699 | # coding: UTF-8
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn import metrics
import time
from utils import get_time_dif
from pytorch_pretrained.optimization import BertAdam
# 权重初始化，默认xavier
def init_network(model, method='xavier', exclude='embedding', seed=123):
... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.802081 | # coding: UTF-8
import torch
from tqdm import tqdm
import time
from datetime import timedelta
PAD, CLS = '[PAD]', '[CLS]' # padding符号, bert中综合信息符号
def build_dataset(config):
def load_dataset(path, pad_size=32):
contents = []
with open(path, 'r', encoding='UTF-8') as f:
for line in t... |
649453932/Bert-Chinese-Text-Classification-Pytorch | https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | run.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:01.802733 | # coding: UTF-8
import time
import torch
import numpy as np
from train_eval import train, init_network
from importlib import import_module
import argparse
from utils import build_dataset, build_iterator, get_time_dif
parser = argparse.ArgumentParser(description='Chinese Text Classification')
parser.add_argument('--mod... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | GPU-Re-Ranking/gnn_reranking.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:08.970142 | """
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang
Project Page : https://github.com/Xuanmeng-Zhang/gnn-re-ranking
Paper: https://arxiv.org/abs/2012.07620v2
==================================... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | GPU-Re-Ranking/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:08.975713 | """
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang
Project Page : https://github.com/Xuanmeng-Zhang/gnn-re-ranking
Paper: https://arxiv.org/abs/2012.07620v2
==================================... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:08.978888 | import argparse
import scipy.io
import torch
import numpy as np
import os
from torchvision import datasets
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
#######################################################################
# Evaluate
parser = argparse.ArgumentParser(description='Demo')
parse... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | ODFA.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:08.999837 | import torch
from torch.autograd import Variable
from copy import deepcopy
import torch.nn as nn
import numpy as np
from PIL import Image
from torchvision import transforms
# Online Adversarial Defense Trainnig via ODFA.
# https://github.com/layumi/U_turn/blob/master/README.md
def ODFA(model, img, rate = 16):
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | GPU-Re-Ranking/evaluate_rerank_gpu.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.003696 | """
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang
Project Page : https://github.com/Xuanmeng-Zhang/gnn-re-ranking
Paper: https://arxiv.org/abs/2012.07620v2
==================================... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | dgfolder.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.006226 | from torchvision import datasets
import numpy as np
class DGFolder(datasets.ImageFolder):
def __init__(self, root, transform):
super(DGFolder, self).__init__(root, transform)
targets = np.asarray([s[1] for s in self.samples])
self.targets = targets
self.img_num = len(self.samples)
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | evaluate.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.008750 | import scipy.io
import torch
import numpy as np
#import time
import os
#######################################################################
# Evaluate
def evaluate(qf,ql,qc,gf,gl,gc):
query = qf
score = np.dot(gf,query)
# predict index
index = np.argsort(score) #from small to large
index = inde... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | GPU-Re-Ranking/extension/propagation/setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.012351 | """
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang
Project Page : https://github.com/Xuanmeng-Zhang/gnn-re-ranking
Paper: https://arxiv.org/abs/2012.07620v2
==================================... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | GPU-Re-Ranking/extension/adjacency_matrix/setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.017168 | """
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang, Minyue Jiang, Zhedong Zheng, Xiao Tan, Errui Ding, Yi Yang
Project Page : https://github.com/Xuanmeng-Zhang/gnn-re-ranking
Paper: https://arxiv.org/abs/2012.07620v2
==================================... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | circle_loss.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.021913 | #from https://github.com/TinyZeaMays/CircleLoss/blob/master/circle_loss.py
from typing import Tuple
import torch
from torch import nn, Tensor
def convert_label_to_similarity(normed_feature: Tensor, label: Tensor) -> Tuple[Tensor, Tensor]:
similarity_matrix = normed_feature @ normed_feature.transpose(1, 0)
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | instance_loss.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.575477 | import torch
from torch import nn, Tensor
import torch.nn.functional as F
def l2_norm(v):
fnorm = torch.norm(v, p=2, dim=1, keepdim=True) + 1e-8
v = v.div(fnorm.expand_as(v))
return v
class InstanceLoss(nn.Module):
def __init__(self, gamma = 1) -> None:
super(InstanceLoss, self).__init__()
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | evaluate_rerank.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.594016 | import scipy.io
import torch
import numpy as np
import time
from re_ranking import re_ranking
#######################################################################
# Evaluate
def evaluate(score,ql,qc,gl,gc):
index = np.argsort(score) #from small to large
#index = index[::-1]
# good index
query_index... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_CUB.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.658080 | import os
from shutil import copyfile
# 1-100 train
# 101-200 test
os.system('wget http://www.vision.caltech.edu/visipedia-data/CUB-200-2011/CUB_200_2011.tgz')
os.system('tar -zxvf CUB_200_2011.tgz')
os.system('cd ./CUB_200_2011/images')
os.system('mkdir train_all')
os.system('mkdir test')
os.system('mv 0* train_all')... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | evaluate_gpu.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.659438 | import scipy.io
import torch
import numpy as np
#import time
import os
#######################################################################
# Evaluate
def evaluate(qf,ql,qc,gf,gl,gc):
query = qf.view(-1,1)
# print(query.shape)
score = torch.mm(gf,query)
score = score.squeeze(1).cpu()
score = sco... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_VeRi.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.661201 | import os
from shutil import copyfile
def copy_file(s, t):
for root, dirs, files in os.walk(s):
for name in files:
copyfile(root+'/'+name,t+'/'+name)
# You only need to change this line to your dataset download path
download_path = './data/VeRi'
if not os.path.isdir(download_path):
print(... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_Duke.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.662394 | import os
from shutil import copyfile
# You only need to change this line to your dataset download path
download_path = '../DukeMTMC-reID'
if not os.path.isdir(download_path):
print('please change the download_path')
save_path = download_path + '/pytorch'
if not os.path.isdir(save_path):
os.mkdir(save_path)
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | model.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.663359 | import torch
import torch.nn as nn
from torch.nn import init
from torchvision import models
from torch.autograd import Variable
import pretrainedmodels
import timm
from utils import load_state_dict_mute
######################################################################
def weights_init_kaiming(m):
classname = m... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_MSMT.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.668203 | import os
from shutil import copyfile
# You only need to change this line to your dataset download path
download_path = '/home/zzd/MSMT17_V1/'
if not os.path.isdir(download_path):
print('please change the download_path')
save_path = download_path + '/pytorch'
if not os.path.isdir(save_path):
os.mkdir(save_pa... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.669147 | import os
from shutil import copyfile
download_path = '../Market' # Please not change.
download_path2 = '../Market-1501-v15.09.15' # You only need to change this line to your dataset download path
if not os.path.isdir(download_path):
if os.path.isdir(download_path2):
os.system('mv %s %s'%(download_path2, ... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_VehicleID.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:09.670830 | import os
from shutil import copyfile
def copy_file(s, t):
for root, dirs, files in os.walk(s):
for name in files:
copyfile(root+'/'+name,t+'/'+name)
# You only need to change this line to your dataset download path
download_path = './data/VehicleID_V1.0/'
if not os.path.isdir(download_path):... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_viper.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:10.574663 | import os
from shutil import copyfile
import numpy as np
#http://users.soe.ucsc.edu/~manduchi/VIPeR.v1.0.zip
download_path = '../VIPeR'
if not os.path.isdir(download_path):
print('please change the download_path')
save_path = download_path + '/pytorch'
if not os.path.isdir(save_path):
os.mkdir(save_path)
... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | prepare_static.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:10.851614 | # -*- coding: utf-8 -*-
from __future__ import print_function, division
import argparse
import torch
from torchvision import datasets, transforms
import time
import os
version = torch.__version__
######################################################################
# Options
# --------
parser = argparse.ArgumentP... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:11.225328 | import os
import torch
import torch.nn as nn
from torch.nn.utils import fuse_conv_bn_eval
class CrossEntropyLabelSmooth(nn.Module):
"""Cross entropy loss with label smoothing regularizer.
Reference:
Szegedy et al. Rethinking the Inception Architecture for Computer Vision. CVPR 2016.
Equation: y = (1 - ... |
layumi/Person_reID_baseline_pytorch | https://github.com/layumi/Person_reID_baseline_pytorch | null | null | null | null | 4,423 | null | null | mit | null | null | null | null | null | null | null | random_erasing.py | null | null | null | null | null | null | Python | 2026-05-04T02:01:11.310364 | from __future__ import absolute_import
#from torchvision.transforms import *
#from PIL import Image
import random
import math
#import numpy as np
class RandomErasing(object):
""" Randomly selects a rectangle region in an image and erases its pixels.
'Random Erasing Data Augmentation' by Zhong et al.
... |
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