repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin64/osmbundler/matching/__init__.py | osm-bundler/osm-bundlerWin64/osmbundler/matching/__init__.py | __all__ = ["bundler", "manual"] | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin64/osmbundler/matching/manual.py | osm-bundler/osm-bundlerWin64/osmbundler/matching/manual.py | from engine import MatchingEngine
className = "ManualMatching"
class ManualMatching(MatchingEngine):
featureExtractionNeeded = False
def __init__(self):
pass
def match(self):
pass | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin64/osmbundler/matching/engine.py | osm-bundler/osm-bundlerWin64/osmbundler/matching/engine.py |
class MatchingEngine():
outputFileName = "matches.init.txt"
featureExtractionNeeded = True
def __init__(self):
pass
def match(self):
pass | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin64/osmcmvs/__init__.py | osm-bundler/osm-bundlerWin64/osmcmvs/__init__.py | import logging
import sys, os, getopt, tempfile, subprocess, shutil
# service function: get path of an executable (.exe suffix is added if we are on Windows)
def getExecPath(dir, fileName):
if sys.platform == "win32": fileName = "%s.exe" % fileName
return os.path.join(dir, fileName)
distrPath = os.path.di... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/RunCMVS.py | osm-bundler/osm-bundlerWin32/RunCMVS.py | import logging
import osmcmvs
logging.basicConfig(level=logging.INFO, format="%(message)s")
# initialize OsmCMVS manager class
manager = osmcmvs.OsmCmvs()
# initialize PMVS input from Bundler output
manager.doBundle2PMVS()
# call PMVS
manager.doCMVS()
| python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/RunBundler.py | osm-bundler/osm-bundlerWin32/RunBundler.py | import logging
import osmbundler
logging.basicConfig(level=logging.INFO, format="%(message)s")
# initialize OsmBundler manager class
manager = osmbundler.OsmBundler()
manager.preparePhotos()
manager.matchFeatures()
manager.doBundleAdjustment()
manager.openResult()
| python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/RunPMVS.py | osm-bundler/osm-bundlerWin32/RunPMVS.py | import logging
import osmpmvs
logging.basicConfig(level=logging.INFO, format="%(message)s")
# initialize OsmPMVS manager class
manager = osmpmvs.OsmPmvs()
# initialize PMVS input from Bundler output
manager.doBundle2PMVS()
# call PMVS
manager.doPMVS()
| python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmpmvs/__init__.py | osm-bundler/osm-bundlerWin32/osmpmvs/__init__.py | import logging
import sys, os, getopt, tempfile, subprocess, shutil
# service function: get path of an executable (.exe suffix is added if we are on Windows)
def getExecPath(dir, fileName):
if sys.platform == "win32": fileName = "%s.exe" % fileName
return os.path.join(dir, fileName)
distrPath = os.path.di... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/defaults.py | osm-bundler/osm-bundlerWin32/osmbundler/defaults.py |
maxPhotoDimension = 1200
matchingEngine = "bundler"
featureExtractor = "siftvlfeat"
bundlerOptions = (
"--match_table matches.init.txt\n",
"--output bundle.out\n",
"--output_all bundle_\n",
"--output_dir bundle\n",
"--variable_focal_length\n",
"--use_focal_estimate\n",
"--constrain_focal\n",
"--constrain_focal_weight... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/__init__.py | osm-bundler/osm-bundlerWin32/osmbundler/__init__.py | import logging
import sys, os, getopt, tempfile, subprocess
import sqlite3
from PIL import Image
from PIL.ExifTags import TAGS
import defaults
import matching
from matching import *
import features
from features import *
# a helper function to get list of photos from a directory
def getPhotosFromDirectory(photoDir... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/features/extractor.py | osm-bundler/osm-bundlerWin32/osmbundler/features/extractor.py |
class FeatureExtractor():
def __init__(self, distrDir):
pass
def extract(self, photo, photoInfo):
pass | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/features/sift.py | osm-bundler/osm-bundlerWin32/osmbundler/features/sift.py | import sys, os, logging
from extractor import FeatureExtractor
class Sift(FeatureExtractor):
fileExtension = "key"
executable = ''
win32Executable = ''
linuxExecutable = ''
def __init__(self, distrDir):
if sys.platform == "win32":
self.executable = os.path.join(d... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/features/siftvlfeat.py | osm-bundler/osm-bundlerWin32/osmbundler/features/siftvlfeat.py | import os, subprocess, gzip, logging
from sift import Sift
className = "VlfeatSift"
class VlfeatSift(Sift):
win32Executable = "vlfeat/bin/w32/sift.exe"
linuxExecutable = "vlfeat/bin/glx/sift"
def __init__(self, distrDir):
Sift.__init__(self, distrDir)
def extract(self, photo, photoInfo)... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/features/__init__.py | osm-bundler/osm-bundlerWin32/osmbundler/features/__init__.py | __all__ = ["siftvlfeat", "siftlowe"] | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/features/siftlowe.py | osm-bundler/osm-bundlerWin32/osmbundler/features/siftlowe.py | import os, subprocess, gzip
from sift import Sift
className = "LoweSift"
class LoweSift(Sift):
win32Executable = "sift-lowe/siftWin32.exe"
linuxExecutable = "sift-lowe/sift"
def __init__(self, distrDir):
Sift.__init__(self, distrDir)
def extract(self, photo, photoInfo):
phot... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/matching/bundler.py | osm-bundler/osm-bundlerWin32/osmbundler/matching/bundler.py | import sys,os,subprocess,logging
from engine import MatchingEngine
className = "BundlerMatching"
class BundlerMatching(MatchingEngine):
featuresListFileName = "list_features.txt"
executable = ''
def __init__(self, distrDir):
if sys.platform == "win32":
self.executable = os.path.jo... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/matching/__init__.py | osm-bundler/osm-bundlerWin32/osmbundler/matching/__init__.py | __all__ = ["bundler", "manual"] | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/matching/manual.py | osm-bundler/osm-bundlerWin32/osmbundler/matching/manual.py | from engine import MatchingEngine
className = "ManualMatching"
class ManualMatching(MatchingEngine):
featureExtractionNeeded = False
def __init__(self):
pass
def match(self):
pass | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmbundler/matching/engine.py | osm-bundler/osm-bundlerWin32/osmbundler/matching/engine.py |
class MatchingEngine():
outputFileName = "matches.init.txt"
featureExtractionNeeded = True
def __init__(self):
pass
def match(self):
pass | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
lyletang/Huawei_LiteOS | https://github.com/lyletang/Huawei_LiteOS/blob/87d4fb9ea485e43587e1618e31fead8a41a1ad38/osm-bundler/osm-bundlerWin32/osmcmvs/__init__.py | osm-bundler/osm-bundlerWin32/osmcmvs/__init__.py | import logging
import sys, os, getopt, tempfile, subprocess, shutil
# service function: get path of an executable (.exe suffix is added if we are on Windows)
def getExecPath(dir, fileName):
if sys.platform == "win32": fileName = "%s.exe" % fileName
return os.path.join(dir, fileName)
distrPath = os.path.di... | python | MIT | 87d4fb9ea485e43587e1618e31fead8a41a1ad38 | 2026-01-05T07:08:48.607958Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/key.py | key.py | import functools, io, math, requests
from PIL import Image, ImageMath, ImageColor, ImageCms
from PIL import ImageDraw, ImageFont, ImageOps
from colormath import color_objects, color_conversions
class Key:
__slots__ = [
'x', 'y', 'width', 'height', 'x2', 'y2', 'width2', 'height2',
'rotation_angle',... | python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/keyboard.py | keyboard.py | import copy, html, lxml.html, re, json, requests, tinycss2
from PIL import Image, ImageColor, ImageDraw, ImageFont
from key import Key
class Keyboard:
__slots__ = ['keys', 'keyboard', 'max_size', 'color']
def __init__(self, json):
# parse keyboard-layout-editor JSON format
data = deserialise... | python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/config.py | config.py | import os
SWAGGER_UI_DOC_EXPANSION = 'full'
SWAGGER_UI_JSONEDITOR = True
DEBUG = False
CORS_HEADERS = 'Content-Type'
CORS_RESOURCES = r'/api/*'
WTF_CSRF_ENABLED = False
SECRET_KEY = os.environ.get('SECRET_KEY')
API_TOKEN = os.environ.get('API_TOKEN')
| python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/test.py | test.py | from timeit import default_timer as timer
from keyboard import Keyboard, deserialise
import json, github, dotenv, os
dotenv_path = os.path.join(os.path.dirname(__file__), '.env')
dotenv.load_dotenv(dotenv_path)
gist_id = '4de8adb88cb4c45c2f43'
g = github.Github(os.environ.get('API_TOKEN'))
files = [v for k, v in g.ge... | python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/app.py | app.py | import json, github, io, flask_wtf, flask_wtf.file, wtforms, flask_cors
from flask import Flask, Blueprint, send_file, render_template, flash, Markup
from flask_restx import Api, Resource
from keyboard import Keyboard
app = Flask(__name__)
app.config.from_object('config')
flask_cors.CORS(app)
github_api = github.Gith... | python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
CQCumbers/kle_render | https://github.com/CQCumbers/kle_render/blob/a14ccea8e46286ba01c10e3380eca0a963e21d5d/images/script.py | images/script.py | from PIL import Image, ImageDraw
import os
u = 200
transparent_area = (0,u,int(0.25*u),int(2*u))
# transparent_area = (0, 0, int(0.75*u), u)
for fn in os.listdir('.'):
# if os.path.isfile(fn) and fn.startswith('GMK_ISO'):
# if os.path.isfile(fn) and fn.startswith('GMK_BIGENTER'):
if os.path.isfile(fn) and... | python | MIT | a14ccea8e46286ba01c10e3380eca0a963e21d5d | 2026-01-05T07:10:11.873864Z | false |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/setup.py | setup.py | """Build script for the IDA Pro sigmaker Cython module.
This ``setup.py`` detects the host platform and architecture in order to
select appropriate compilation and linkage flags.
The build expects the IDA SDK to be installed and accessible via the
environment variable ``IDA_SDK``.
"""
import functools
import os
impor... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/src/sigmaker/__init__.py | src/sigmaker/__init__.py | """
sigmaker.py - IDA Python Signature Maker
https://github.com/mahmoudimus/ida-sigmaker
by @mahmoudimus (Mahmoud Abdelkader)
"""
from __future__ import annotations
import contextlib
import contextvars
import dataclasses
import enum
import functools
import logging
import os
import pathlib
import re
import string
imp... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | true |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/src/sigmaker/_speedups/__init__.py | src/sigmaker/_speedups/__init__.py | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false | |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/integration_test_sigmaker.py | tests/integration_test_sigmaker.py | import logging
import pathlib
import shutil
import sys
import tempfile
import unittest
import warnings
sys.path.insert(0, pathlib.Path(__file__).parent.as_posix())
# Import the base test case
from coveredtestcase import CoverageTestCase
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
# Context m... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/coveredtestcase.py | tests/coveredtestcase.py | """
base_test_case.py - Base test case with coverage support
Provides a base class for test cases that automatically handles coverage collection.
Subclasses can configure the coverage data file via the coverage_data_file class variable.
"""
import unittest
import coverage
class CoverageTestCase(unittest.TestCase):... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/__init__.py | tests/__init__.py | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false | |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/unit_test_sigmaker.py | tests/unit_test_sigmaker.py | """
unit_test_sigmaker.py - Unit tests for sigmaker
Tests the sigmaker module and related functionality with mocked system interfaces
to ensure reliable testing across different platforms and architectures.
"""
import array
import gc
import itertools
import logging
import pathlib
import platform
import random
import ... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | true |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/performance_test.py | tests/performance_test.py | import array
import gc
import logging
import pathlib
import shutil
import sys
import tempfile
import time
import unittest
import unittest.mock
import warnings
# Context manager to suppress warnings from IDA Pro modules during import
with warnings.catch_warnings():
warnings.filterwarnings(
"ignore", categor... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false |
mahmoudimus/ida-sigmaker | https://github.com/mahmoudimus/ida-sigmaker/blob/5d645fa34b5892dc86c5a0ae5626f994ceb96f1e/tests/_resources/build_test_binary.py | tests/_resources/build_test_binary.py | #!/usr/bin/env python3
"""
Build script for test binary using NASM
"""
import os
import platform
import subprocess
import sys
from pathlib import Path
def run_command(cmd, cwd=None):
"""Run a command and return True if successful"""
try:
result = subprocess.run(
cmd, shell=True, cwd=cwd, c... | python | MIT | 5d645fa34b5892dc86c5a0ae5626f994ceb96f1e | 2026-01-05T07:10:29.489005Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/live_server.py | live_server.py | import time
import torch
import numpy as np
from pygame.time import Clock
import utils
import socket
import articulate as art
from net.sig_mp import Net
import config
# define configs
device = "cuda" if torch.cuda.is_available() else "cpu"
body_model = art.ParametricModel(config.paths.smpl_file)
server_ip = '127.0.0.1... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/live_demo_sync.py | live_demo_sync.py | from queue import Queue
import cv2
import time
import socket
import threading
import numpy as np
import torch
from pygame.time import Clock
import articulate as art
from articulate.utils.print import *
import select
import os
import atexit
from articulate.utils.bullet import RotationViewer
class SyncIMUCam:
def _... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/live_detector.py | live_detector.py | import time
import torch
import numpy as np
import cv2
from pygame.time import Clock
import utils
from live_demo_sync import SyncIMUCam
import socket
import articulate as art
import config
import mediapipe as mp
# define configs
body_model = art.ParametricModel(config.paths.smpl_file)
K = torch.tensor(config.Live.came... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/utils.py | utils.py | import cv2
import numpy as np
import tqdm
import torch
import config
mp_mask = torch.tensor(config.mp_mask)
def view_2d_keypoint(keypoints, parent=None, images=None, thickness=None, fps=60):
r"""
View 2d keypoint sequence in image coordinate frame. Modified from vctoolkit.render_bones_from_uv.
Notes
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/config.py | config.py | class paths:
smpl_file = 'models/SMPL_male.pkl'
smpl_file_f = 'models/SMPL_female.pkl'
aist_raw_dir = 'D:/_dataset/AIST/' # e.g., keypoints2d, motions, cameras, splits, video
aist_dir = 'data/dataset_work/AIST/'
aist_tip_dir = 'data/dataset_work/AIST/tip'
amass_raw_dir = 'D:/_dataset/AMASS/' ... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/evaluate.py | evaluate.py | import torch
from torch.utils.data import DataLoader
import articulate as art
import config
from articulate.utils.torch import *
from articulate.utils.print import *
from config import *
import tqdm
import numpy as np
import utils
import os
from net.smplify.run import smplify_runner
import cv2
device = torch.device('c... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/preprocess.py | preprocess.py | import articulate as art
import torch
import os
import config
from config import *
import pickle
import tqdm
import json
import glob
import numpy as np
import cv2
extkp_mask = torch.tensor(list(HUMBIBody33.extended_keypoints.values()))
# reference https://google.github.io/mediapipe/solutions/pose
body_model = art.Par... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | true |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/run_tc_detector.py | scripts/run_tc_detector.py | import cv2
import os
import torch
import mediapipe as mp
import config
# define your own path
device = "cuda" if torch.cuda.is_available() else "cpu"
video_path = os.path.join(config.paths.totalcapture_raw_dir, 'video2')
pt_path = os.path.join(config.paths.totalcapture_raw_dir, 'kp2d_mp')
mp_detector = mp.solutions.po... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/smooth_bbox.py | scripts/smooth_bbox.py | # This script is borrowed from https://github.com/akanazawa/human_dynamics/blob/master/src/util/smooth_bbox.py
# Adhere to their licence to use this script
import numpy as np
import scipy.signal as signal
from scipy.ndimage.filters import gaussian_filter1d
def get_smooth_bbox_params(kps, vis_thresh=2, kernel_size=11... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/run_aist_detector.py | scripts/run_aist_detector.py | import cv2
import numpy as np
import os
import time
import glob
import torch
import config
from tqdm import tqdm
from aist_plusplus.loader import AISTDataset
import utils
import os
import mediapipe as mp
import scripts.occlusion as occlusion
import random
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/occlusion.py | scripts/occlusion.py | # -*- coding: utf-8 -*-
# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is
# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/run_3dpwocc_detector.py | scripts/run_3dpwocc_detector.py | import cv2
import numpy as np
import os
import torch
from tqdm import tqdm
import mediapipe as mp
import config
import utils
import pickle
from smooth_bbox import get_smooth_bbox_params
from config import Pw3d_data
device = "cuda" if torch.cuda.is_available() else "cpu"
pt_path = os.path.join(config.paths.pw3d_raw_dir... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/scripts/run_3dpw_detector.py | scripts/run_3dpw_detector.py | import cv2
import numpy as np
import os
import torch
from tqdm import tqdm
import mediapipe as mp
import config
import pickle
from scripts.smooth_bbox import get_smooth_bbox_params
device = "cuda" if torch.cuda.is_available() else "cpu"
pt_path = os.path.join(config.paths.pw3d_raw_dir, 'kp2d_mp')
mp_detector = mp.solu... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/net/sig_mp.py | net/sig_mp.py | import os
if __name__ == '__main__':
import sys
os.chdir('..')
sys.path.insert(0, os.getcwd())
import torch
import articulate as art
from articulate.utils.torch import *
from config import *
from torch.nn.functional import relu
from torch.utils.data import DataLoader, ConcatDataset
import tqdm
from articu... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | true |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/net/smplify/run.py | net/smplify/run.py | import torch
import articulate as art
from .temporal_smplify import TemporalSMPLify
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def smplify_runner(
pred_pose,
pred_tran,
j2dc,
imu_ori,
batch_size,
cam_k,
lr=1.0,
opt_steps=1,
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/net/smplify/temporal_smplify.py | net/smplify/temporal_smplify.py | # This script is the extended version of https://github.com/nkolot/SPIN/blob/master/smplify/smplify.py to deal with
# sequences inputs.
import os
import smplx
import torch
import config
# For the GMM prior, we use the GMM implementation of SMPLify-X
# https://github.com/vchoutas/smplify-x/blob/master/smplifyx/prior.... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/net/smplify/prior.py | net/smplify/prior.py | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import sys
import os
import time
import pickle
import numpy as np
import torch
import torch.nn as nn
DEFAULT_DTYPE = torch.float32
def create_prior(prior_type, **kwargs):
if prior_type == 'gmm':
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/net/smplify/losses.py | net/smplify/losses.py | # This script is borrowed from https://github.com/nkolot/SPIN/.
import torch
import articulate as art
def gmof(x, sigma):
"""
Geman-McClure error function
"""
x_squared = x ** 2
sigma_squared = sigma ** 2
return (sigma_squared * x_squared) / (sigma_squared + x_squared)
def angle_prior(pose):... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/model.py | articulate/model.py | r"""
SMPL/MANO/SMPLH parametric model. Modified from https://github.com/CalciferZh/SMPL.
"""
__all__ = ['ParametricModel']
import os
import pickle
import torch
import tqdm
import numpy as np
from . import math as M
class ParametricModel:
r"""
SMPL/MANO/SMPLH parametric model.
"""
def __init__(... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/filter.py | articulate/filter.py | r"""
Temporal filters.
"""
__all__ = ['LowPassFilter', 'LowPassFilterRotation', 'KalmanFilter']
from . import math as M
import quaternion # package: numpy-quaternion
import torch
class KalmanFilter:
r"""
https://zhuanlan.zhihu.com/p/113685503
"""
def __init__(self, F, H, B, Q=None, R=None,... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/evaluator.py | articulate/evaluator.py | r"""
Basic evaluators, and evaluators that measure differences between poses/trans of MANO/SMPL/SMPLH model.
"""
__all__ = ['BinaryConfusionMatrixEvaluator', 'BinaryClassificationErrorEvaluator', 'PositionErrorEvaluator',
'RotationErrorEvaluator', 'PerJointErrorEvaluator', 'MeanPerJointErrorEvaluator',... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/__init__.py | articulate/__init__.py | r"""
Toolkit for articulated body system.
"""
from .armature import *
from .evaluator import *
from .model import *
# from .filter import *
from .renderer import *
from . import math
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/renderer.py | articulate/renderer.py | """
SMPL Renderer. Borrowed from VIBE and ROMP.
"""
__all__ = ['Renderer']
import trimesh
import pyrender
import numpy as np
import pickle
class Renderer:
def __init__(self, resolution=(224, 224), official_model_file=None):
"""
Renderer for SMPL model.
:param resolution: image resolu... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/armature.py | articulate/armature.py | r"""
Joint definition of SMPL/MANO/SMPLH parametric model.
"""
__all__ = ['MANOJoint', 'SMPLJoint', 'SMPLHJoint']
import enum
class MANOJoint(enum.Enum):
r"""
W = wrist; I = index; M = middle; L = little; R = ring; T = thumb.
"""
W = 0
ROOT = 0
I0 = 1
I1 = 2
I2 = 3
M0 = 4
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/math/angular.py | articulate/math/angular.py | r"""
Angular math utils that contain calculations of angles.
"""
__all__ = ['RotationRepresentation', 'to_rotation_matrix', 'radian_to_degree', 'degree_to_radian', 'normalize_angle',
'angle_difference', 'angle_between', 'svd_rotate', 'generate_random_rotation_matrix',
'axis_angle_to_rotation... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/math/spatial.py | articulate/math/spatial.py | r"""
Spatial math utils that combine linear and angular calculations for rigid bodies.
Also contains utils for articulated body kinematics.
"""
__all__ = ['transformation_matrix_np', 'adjoint_transformation_matrix_np', 'transformation_matrix',
'decode_transformation_matrix', 'inverse_transformation... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/math/general.py | articulate/math/general.py | r"""
General math utils.
"""
__all__ = ['lerp', 'normalize_tensor', 'append_value', 'append_zero', 'append_one', 'vector_cross_matrix',
'vector_cross_matrix_np', 'block_diagonal_matrix_np']
import numpy as np
import torch
from functools import partial
def lerp(a, b, t):
r"""
Linear interpol... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/math/__init__.py | articulate/math/__init__.py | r"""
This package contains math utils for articulated body system including 3D rotation representation conversion,
spatial math, etc.
"""
from .general import *
from .angular import *
from .spatial import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/print.py | articulate/utils/print.py | r"""
Print with color.
Colored text and background from https://www.geeksforgeeks.org/print-colors-python-terminal/.
Modified from https://github.com/luigifreda/pyslam/blob/master/utils_sys.py.
"""
__all__ = ['Color', 'print_red', 'print_error', 'print_green', 'print_orange', 'print_purple',
'p... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/__init__.py | articulate/utils/__init__.py | r"""
This package contains independent utils for some relative libraries.
""" | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/opencv/__init__.py | articulate/utils/opencv/__init__.py | r"""
This package contains utils for opencv.
"""
from .visualization import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/opencv/visualization.py | articulate/utils/opencv/visualization.py | r"""
View 2D keypoints in real-time using opencv.
"""
__all__ = ['view_2d_keypoint', 'view_2d_keypoint_on_z_1']
import cv2
import numpy as np
import tqdm
def view_2d_keypoint(keypoints, parent=None, images=None, thickness=None, fps=60):
r"""
View 2d keypoint sequence in image coordinate frame. Modifie... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/noitom/mocap_api.py | articulate/utils/noitom/mocap_api.py | r"""
Python API for Noitom IMUs. Modified from https://github.com/pnmocap/neuron_mocap_live-blender/.
"""
__all__ = ['MCPError', 'MCPJointTag', 'MCPRigidBody', 'MCPSensorModule', 'MCPBodyPart', 'MCPJoint', 'MCPAvatar',
'MCPCommand', 'MCPCommandStopCatpureExtraFlag', 'MCPCommandExtraLong', 'MCPCommandPr... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | true |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/noitom/__init__.py | articulate/utils/noitom/__init__.py | r"""
This package contains utils for Noitom sensors.
"""
from .mocap_api import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/unity/view_motion.py | articulate/utils/unity/view_motion.py | r"""
View human motions in real-time using Unity3D. This is the server script.
"""
__all__ = ['MotionViewer']
import time
import numpy as np
import matplotlib
import socket
import cv2
class MotionViewer:
r"""
View human motions in real-time / offline using Unity3D.
"""
colors = matplotlib.color... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/unity/__init__.py | articulate/utils/unity/__init__.py | r"""
This package contains utils for Unity3D.
"""
from .view_motion import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/rbdl/model.py | articulate/utils/rbdl/model.py | r"""
Wrapper for RBDL model.
"""
__all__ = ['RBDLModel']
import rbdl
import numpy as np
from ...math import adjoint_transformation_matrix_np
class RBDLModel:
def __init__(self, model_file: str, gravity=np.array((0, -9.81, 0)), update_kinematics_by_hand=False):
r"""
Init an RBDL model. (num... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/rbdl/__init__.py | articulate/utils/rbdl/__init__.py | r"""
This package contains utils for RBDL.
"""
from .model import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/xsens/xdc.py | articulate/utils/xsens/xdc.py | r"""
Connect Xsens dot sensors. Modified from https://github.com/adamkewley/xdc
"""
__all__ = ['Acceleration', 'AngularVelocity', 'BatteryCharacteristic',
'ClipCountAcc', 'ClipCountGyr', 'ControlCharacteristic', 'DeviceControlCharacteristic',
'DeviceInfoCharacteristic', 'DeviceReportCharacte... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | true |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/xsens/xsens_dot_set.py | articulate/utils/xsens/xsens_dot_set.py | r"""
Wrapper for an Xsens dot set.
"""
__all__ = ['XsensDotSet']
import asyncio
import time
from .xdc import *
from queue import Queue
import torch
_N = 10 # max 10 IMUs
class XsensDotSet:
# _lock = [threading.Lock() for _ in range(_N)] # lists are thread-safe
_SZ = 180 # max queue size
_l... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/xsens/mvnx_reader.py | articulate/utils/xsens/mvnx_reader.py | r"""
Reader for Xsens .mvnx file.
"""
__all__ = ['read_mvnx']
import xml.etree.ElementTree as ET
import torch
def quaternion_product(q1, q2):
r"""
Quaternion in w, x, y, z.
:param q1: Tensor [N, 4].
:param q2: Tensor [N, 4].
:return: Tensor [N, 4].
"""
w1, xyz1 = q1.view(-1, 4)[:,... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/xsens/__init__.py | articulate/utils/xsens/__init__.py | r"""
This package contains utils for Xsens sensors.
"""
from .mvnx_reader import *
from .xdc import *
from .xsens_dot_set import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/torch/train.py | articulate/utils/torch/train.py | r"""
Function to train a network.
"""
__all__ = ['train']
import os
import torch
from torch.utils.tensorboard import SummaryWriter
from thop import clever_format
import wandb
def train(net, train_dataloader, vald_dataloader=None, save_dir='weights', loss_fn=torch.nn.MSELoss(),
eval_fn=None, optimizer... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/torch/rnn.py | articulate/utils/torch/rnn.py | r"""
Utils for RNN including networks, datasets, and loss wrappers.
"""
__all__ = ['RNNLossWrapper', 'RNNDataset', 'RNNWithInitDataset', 'RNN', 'RNNWithInit']
import os
import torch.utils.data
from torch.nn.functional import relu
from torch.nn.utils.rnn import *
class RNNLossWrapper:
r"""
Loss wrapper... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/torch/__init__.py | articulate/utils/torch/__init__.py | r"""
This package contains utils for pytorch.
"""
from .rnn import *
from .io import *
from .train import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/torch/test.py | articulate/utils/torch/test.py | r"""
Function to test a network.
"""
__all__ = ['test', 'test_next_batch']
import torch
import os
@torch.no_grad()
def test(net, test_dataloader, load_dir=None):
r"""
Test a net on the full dataset. Return input, output, label. Assuming input, output, label are tensors.
:param net: Network to test.... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/torch/io.py | articulate/utils/torch/io.py | r"""
Utils for txt save/load.
"""
__all__ = ['load_txt_mat', 'save_txt_mat']
import torch
def load_txt_mat(file, sep=','):
r"""
Load a matrix in txt where each line is the row and each entry is separated by `sep`.
:param file: txt file name.
:param sep: Sep char for each entry in a row.
:... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/xsens_dot_server.py | articulate/utils/executables/xsens_dot_server.py | r"""
Xsens Dot GUI server process. Run this server separately with your client to reduce sensor crashes.
"""
import torch
from queue import Empty
from articulate.utils.xsens import XsensDotSet
from articulate.utils.bullet.bullet import Button, Slider
from articulate.utils.bullet.view_rotation_np import RotationVi... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/xsens_offline_data_reader.py | articulate/utils/executables/xsens_offline_data_reader.py | import torch
import os
import glob
input_dir = r'D:\yxy\Xsens_DOT_Data_Exporter-2021.0.0-win\data\20230124_021319'
data = {}
for file in glob.glob(os.path.join(input_dir, '*.csv')):
with open(file, 'r') as f:
sep = f.readline()[-2]
print('sep:', sep)
header = f.readline().split(sep)
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/record_video.py | articulate/utils/executables/record_video.py | r"""
Record video from camera.
Press Q to save and quit.
"""
import cv2
cap = cv2.VideoCapture(2)
wh = (1280, 720)
fps = 10.0
is_color = True
r"""
This time we create a VideoWriter object. We should specify the output file name (eg: output.avi).
Then we should specify the FourCC code (details in next parag... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/xsens_dot_server_no_gui.py | articulate/utils/executables/xsens_dot_server_no_gui.py | r"""
Xsens Dot cmd server process. Run this server separately with your client to reduce sensor crashes.
"""
import time
import torch
from queue import Empty
from articulate.utils.xsens import XsensDotSet
from pygame.time import Clock
import socket
import numpy as np
import keyboard
import articulate as art
from a... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/xsens_dot_client_example.py | articulate/utils/executables/xsens_dot_client_example.py | r"""
An example of Xsens Dot client.
"""
import time
import socket
import numpy as np
from pygame.time import Clock
n_imus = 6 # must be the same as the server
cs = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
cs.bind(('127.0.0.1', 8777))
cs.settimeout(5)
clock = Clock()
# clear the udp buffer
while True:
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/executables/RGB_camera_calibration.py | articulate/utils/executables/RGB_camera_calibration.py | r"""
Calibration of RGB cameras.
Press C to capture enough (>= max_frames) chessboard pictures.
"""
import os
import cv2
import numpy as np
max_frames = 30
wh = (1280, 720)
pattern_size = (9, 6)
save_dir = 'captured_pics/'
cv2.namedWindow('Camera View', 0)
cv2.namedWindow('Captured Image', 0)
cv2.imshow('Ca... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/pygame/view_streaming_data.py | articulate/utils/pygame/view_streaming_data.py | r"""
View streaming 1D data in real-time using pygame.
"""
__all__ = ['StreamingDataViewer']
import pygame
import numpy as np
from collections import deque
import matplotlib
class StreamingDataViewer:
r"""
View 1D streaming data in real-time.
"""
W = 800
H = 600
colors = (np.array(matp... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/pygame/__init__.py | articulate/utils/pygame/__init__.py | r"""
This package contains utils for pygame.
"""
from .view_streaming_data import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/bullet/view_rotation_np.py | articulate/utils/bullet/view_rotation_np.py | r"""
View 3D rotations in real-time using pybullet (numpy quaternion xyzw).
"""
__all__ = ['RotationViewer']
import time
import pybullet as p
import pybullet_data
import numpy as np
from typing import List, Tuple, Union
class RotationViewer:
r"""
View 3D rotations in real-time / offline.
"""
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/bullet/bullet.py | articulate/utils/bullet/bullet.py | r"""
Utils for pybullet.
"""
__all__ = ['remove_collision', 'change_color', 'load_debug_params_into_bullet_from_json',
'read_debug_param_values_from_bullet', 'read_debug_param_values_from_json', 'save_debug_params_to_json',
'Button', 'Slider']
import pybullet as p
import json
_param_attr... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/bullet/view_motion.py | articulate/utils/bullet/view_motion.py | r"""
View human motions in real-time using pybullet.
"""
__all__ = ['MotionViewer']
import time
import pybullet as p
import numpy as np
import os
from .bullet import change_color
import matplotlib
from scipy.spatial.transform import Rotation
_smpl_to_bullet = [0, 1, 2, 9, 10, 11, 18, 19, 20, 27, 28, 29, 3, 4,... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/bullet/__init__.py | articulate/utils/bullet/__init__.py | r"""
This package contains utils for pybullet.
"""
from .bullet import *
from .view_rotation import *
from .view_motion import *
| python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
shaohua-pan/RobustCap | https://github.com/shaohua-pan/RobustCap/blob/d1ac718f7282898b4381b8097640eab6a06b5b3b/articulate/utils/bullet/view_rotation.py | articulate/utils/bullet/view_rotation.py | r"""
View 3D rotations in real-time using pybullet.
"""
__all__ = ['RotationViewer']
import time
import pybullet as p
import pybullet_data
import torch
import numpy as np
import cv2
from typing import List, Tuple, Union
class RotationViewer:
r"""
View 3D rotations in real-time / offline.
"""
... | python | MIT | d1ac718f7282898b4381b8097640eab6a06b5b3b | 2026-01-05T07:10:07.080856Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/setup.py | setup.py | import io
import os
import re
import setuptools
def get_long_description():
base_dir = os.path.abspath(os.path.dirname(__file__))
with io.open(os.path.join(base_dir, "README.md"), encoding="utf-8") as f:
return f.read()
def get_requirements():
with open("requirements.txt") as f:
return ... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_auto_head.py | tests/test_auto_head.py | import unittest
class TestAutoHead(unittest.TestCase):
def test_linear_head(self):
import torch
from video_transformers import AutoHead
config = {
"name": "LinearHead",
"hidden_size": 256,
"num_classes": 10,
"dropout_p": 0.1,
}
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/utils.py | tests/utils.py | import os
import shutil
import sys
def shell(command, exit_status=0):
"""
Run command through shell and return exit status if exit status of command run match with given exit status.
Args:
command: (str) Command string which runs through system shell.
exit_status: (int) Expected exit stat... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_onnx.py | tests/test_onnx.py | import unittest
class TestOnnx(unittest.TestCase):
def test_onnx_export(self):
from video_transformers import VideoModel
config = {
"backbone": {
"name": "TransformersBackbone",
"framework": {"name": "transformers", "version": "4.21.1"},
... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
fcakyon/video-transformers | https://github.com/fcakyon/video-transformers/blob/8ada60b5a01964d813f11cd491d1bc22653e7303/tests/test_auto_neck.py | tests/test_auto_neck.py | import unittest
class TestAutoNeck(unittest.TestCase):
def test_transformers_neck(self):
import torch
from video_transformers import AutoNeck
config = {
"name": "TransformerNeck",
"num_features": 256,
"num_timesteps": 8,
"transformer_enc_nu... | python | MIT | 8ada60b5a01964d813f11cd491d1bc22653e7303 | 2026-01-05T07:10:31.263453Z | false |
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