repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
chainer | chainer-master/chainer/utils/cache.py | import functools
import chainer
class cached_property(object):
"""Cache a result of computation of Chainer functions
Caches are stored for each chainer.config.enable_backprop.
The following example calls ``F.sigmoid`` only once.
>>> class C(object):
... def __init__(self, x):
... ... | 1,735 | 29.45614 | 77 | py |
chainer | chainer-master/chainer/utils/conv_nd_kernel.py | import functools
import six
from chainer.backends import cuda
def mulexp(xs, init=None):
if init is not None:
return functools.reduce('{} * {}'.format, xs, init)
else:
return functools.reduce('{} * {}'.format, xs)
def andexp(xs, init=None):
if init is not None:
return functools... | 9,790 | 31.855705 | 79 | py |
chainer | chainer-master/chainer/utils/imgproc.py | import numpy
def oversample(images, crop_dims):
"""Crop an image into center, corners, and mirror images."""
# Dimensions and center.
channels, src_h, src_w = images[0].shape
cy, cx = src_h / 2.0, src_w / 2.0
dst_h, dst_w = crop_dims
# Make crop coordinates
crops_ix = numpy.empty((5, 4),... | 992 | 30.03125 | 74 | py |
chainer | chainer-master/chainer/utils/experimental.py | import warnings
import chainer
def experimental(api_name):
"""Declares that user is using an experimental feature.
The developer of an API can mark it as *experimental* by calling
this function. When users call experimental APIs, :class:`FutureWarning`
is issued.
The presentation of :class:`Futu... | 2,976 | 27.084906 | 79 | py |
chainer | chainer-master/chainer/utils/__init__.py | import collections
import contextlib
import shutil
import sys
import tempfile
import numpy
import six
import chainer
# import classes and functions
from chainer.utils.array import size_of_shape # NOQA
from chainer.utils.array import sum_to # NOQA
from chainer.utils.conv import get_conv_outsize # NOQA
from chainer.... | 3,506 | 31.775701 | 79 | py |
chainer | chainer-master/chainer/utils/conv.py | import numpy
import six
from chainer.backends import cuda
def get_conv_outsize(size, k, s, p, cover_all=False, d=1):
"""Calculates output size of convolution.
This function takes the size of input feature map, kernel, stride, and
pooling of one particular dimension, then calculates the output feature
... | 6,499 | 34.135135 | 78 | py |
chainer | chainer-master/chainer/utils/meta.py | import warnings
import six
def final(*args, **kwargs):
"""Decorator to declare a method final.
By default, :class:`TypeError` is raised when the decorated method is being
overridden.
The class in which the decorated method is defined must inherit from a
base class returned by :meth:`~chainer.ut... | 2,668 | 32.3625 | 79 | py |
chainer | chainer-master/chainer/serializers/npz.py | import numpy
import six
from chainer.backends import _chainerx
from chainer.backends import _cpu
from chainer.backends import cuda
from chainer.backends import intel64
from chainer import serializer
import chainerx
# For historical reasons, NPZ serializers in Chainer allow pickle despite their
# potential security i... | 9,163 | 36.557377 | 79 | py |
chainer | chainer-master/chainer/serializers/hdf5.py | import sys
import numpy
import six
from chainer.backends import _chainerx
from chainer.backends import _cpu
from chainer.backends import cuda
from chainer.backends import intel64
from chainer import serializer
import chainerx
try:
import h5py
_available = True
except ImportError:
_available = False
de... | 6,563 | 32.151515 | 79 | py |
chainer | chainer-master/chainer/serializers/__init__.py | from chainer.serializers.hdf5 import HDF5Deserializer # NOQA
from chainer.serializers.hdf5 import HDF5Serializer # NOQA
from chainer.serializers.hdf5 import load_hdf5 # NOQA
from chainer.serializers.hdf5 import save_hdf5 # NOQA
from chainer.serializers.npz import DictionarySerializer # NOQA
from chainer.serializer... | 463 | 50.555556 | 64 | py |
vosk-api | vosk-api-master/python/setup.py | import os
import setuptools
import shutil
import glob
import platform
# Figure out environment for cross-compile
vosk_source = os.getenv("VOSK_SOURCE", os.path.abspath(os.path.join(os.path.dirname(__file__),
"..")))
system = os.environ.get('VOSK_SYSTEM', platform.system())
architecture = os.environ.get('VOSK_ARCHI... | 2,861 | 36.657895 | 94 | py |
vosk-api | vosk-api-master/python/vosk_builder.py | #!/usr/bin/env python3
import os
from cffi import FFI
vosk_root=os.environ.get("VOSK_SOURCE", "..")
cpp_command = "cpp " + vosk_root + "/src/vosk_api.h"
ffibuilder = FFI()
ffibuilder.set_source("vosk.vosk_cffi", None)
ffibuilder.cdef(os.popen(cpp_command).read())
if __name__ == '__main__':
ffibuilder.compile(ve... | 332 | 21.2 | 52 | py |
vosk-api | vosk-api-master/python/test/transcribe_scp.py | #!/usr/bin/env python3
import wave
import json
import sys
from multiprocessing.dummy import Pool
from vosk import Model, KaldiRecognizer
model = Model("en-us")
def recognize(line):
uid, fn = line.split()
wf = wave.open(fn, "rb")
rec = KaldiRecognizer(model, wf.getframerate())
text = ""
while Tr... | 774 | 21.142857 | 77 | py |
vosk-api | vosk-api-master/python/example/test_webvtt.py | #!/usr/bin/env python3
import sys
import subprocess
import json
import textwrap
from webvtt import WebVTT, Caption
from vosk import Model, KaldiRecognizer, SetLogLevel
SAMPLE_RATE = 16000
WORDS_PER_LINE = 7
SetLogLevel(-1)
model = Model(lang="en-us")
rec = KaldiRecognizer(model, SAMPLE_RATE)
rec.SetWords(True)
d... | 1,770 | 25.044118 | 77 | py |
vosk-api | vosk-api-master/python/example/test_microphone.py | #!/usr/bin/env python3
# prerequisites: as described in https://alphacephei.com/vosk/install and also python module `sounddevice` (simply run command `pip install sounddevice`)
# Example usage using Dutch (nl) recognition model: `python test_microphone.py -m nl`
# For more help run: `python test_microphone.py -h`
imp... | 2,822 | 30.366667 | 153 | py |
vosk-api | vosk-api-master/python/example/test_gpu_batch.py | #!/usr/bin/env python3
import sys
import json
from vosk import BatchModel, BatchRecognizer, GpuInit
from timeit import default_timer as timer
TOT_SAMPLES = 0
GpuInit()
model = BatchModel("model")
with open(sys.argv[1]) as fn:
fnames = fn.readlines()
fds = [open(x.strip(), "rb") for x in fnames]
uids =... | 1,411 | 21.774194 | 67 | py |
vosk-api | vosk-api-master/python/example/test_simple.py | #!/usr/bin/env python3
import wave
import sys
from vosk import Model, KaldiRecognizer, SetLogLevel
# You can set log level to -1 to disable debug messages
SetLogLevel(0)
wf = wave.open(sys.argv[1], "rb")
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print("Audio file must be... | 834 | 22.194444 | 82 | py |
vosk-api | vosk-api-master/python/example/test_nlsml.py | #!/usr/bin/env python3
import wave
import sys
from vosk import Model, KaldiRecognizer, SetLogLevel
SetLogLevel(0)
wf = wave.open(sys.argv[1], "rb")
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print("Audio file must be WAV format mono PCM.")
sys.exit(1)
model = Model(l... | 595 | 20.285714 | 82 | py |
vosk-api | vosk-api-master/python/example/test_alternatives.py | #!/usr/bin/env python3
import wave
import sys
import json
from vosk import Model, KaldiRecognizer, SetLogLevel
SetLogLevel(0)
wf = wave.open(sys.argv[1], "rb")
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print("Audio file must be WAV format mono PCM.")
sys.exit(1)
mod... | 688 | 21.225806 | 82 | py |
vosk-api | vosk-api-master/python/example/test_empty.py | #!/usr/bin/env python3
import json
from vosk import Model, KaldiRecognizer
model = Model(lang="en-us")
rec = KaldiRecognizer(model, 8000)
res = json.loads(rec.FinalResult())
print(res)
| 189 | 14.833333 | 39 | py |
vosk-api | vosk-api-master/python/example/test_gradio.py | #!/usr/bin/env python3
import json
import gradio as gr
from vosk import KaldiRecognizer, Model
model = Model(lang="en-us")
def transcribe(data, state):
sample_rate, audio_data = data
audio_data = (audio_data >> 16).astype("int16").tobytes()
if state is None:
rec = KaldiRecognizer(model, sample_... | 958 | 22.390244 | 73 | py |
vosk-api | vosk-api-master/python/example/test_reset.py | #!/usr/bin/env python3
import wave
import sys
import json
from vosk import Model, KaldiRecognizer, SetLogLevel
SetLogLevel(0)
wf = wave.open(sys.argv[1], "rb")
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print("Audio file must be WAV format mono PCM.")
sys.exit(1)
mod... | 775 | 21.823529 | 82 | py |
vosk-api | vosk-api-master/python/example/test_words.py | #!/usr/bin/env python3
import wave
import sys
from vosk import Model, KaldiRecognizer
wf = wave.open(sys.argv[1], "rb")
if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
print("Audio file must be WAV format mono PCM.")
sys.exit(1)
model = Model(lang="en-us")
# You can also ... | 864 | 26.03125 | 106 | py |
vosk-api | vosk-api-master/python/example/test_srt.py | #!/usr/bin/env python3
import subprocess
import sys
from vosk import Model, KaldiRecognizer, SetLogLevel
SAMPLE_RATE = 16000
SetLogLevel(-1)
model = Model(lang="en-us")
rec = KaldiRecognizer(model, SAMPLE_RATE)
rec.SetWords(True)
with subprocess.Popen(["ffmpeg", "-loglevel", "quiet", "-i",
... | 529 | 23.090909 | 86 | py |
vosk-api | vosk-api-master/python/example/test_ffmpeg.py | #!/usr/bin/env python3
import subprocess
import sys
from vosk import Model, KaldiRecognizer, SetLogLevel
SAMPLE_RATE = 16000
SetLogLevel(0)
model = Model(lang="en-us")
rec = KaldiRecognizer(model, SAMPLE_RATE)
with subprocess.Popen(["ffmpeg", "-loglevel", "quiet", "-i",
sys.argv[1],
... | 724 | 23.166667 | 86 | py |
vosk-api | vosk-api-master/python/example/test_text.py | #!/usr/bin/env python3
import sys
import json
from vosk import Model, KaldiRecognizer
model = Model(lang="en-us")
# Large vocabulary free form recognition
rec = KaldiRecognizer(model, 16000)
# You can also specify the possible word list
#rec = KaldiRecognizer(model, 16000, "zero oh one two three four five six seve... | 668 | 22.068966 | 92 | py |
vosk-api | vosk-api-master/python/example/test_speaker.py | #!/usr/bin/env python3
import os
import sys
import wave
import json
import numpy as np
from vosk import Model, KaldiRecognizer, SpkModel
SPK_MODEL_PATH = "model-spk"
if not os.path.exists(SPK_MODEL_PATH):
print("Please download the speaker model from "
"https://alphacephei.com/vosk/models and unpack as ... | 3,345 | 41.35443 | 88 | py |
vosk-api | vosk-api-master/python/vosk/__init__.py | import os
import sys
import srt
import datetime
import json
import requests
from urllib.request import urlretrieve
from zipfile import ZipFile
from re import match
from pathlib import Path
from .vosk_cffi import ffi as _ffi
from tqdm import tqdm
# Remote location of the models and local folders
MODEL_PRE_URL = "https... | 9,892 | 34.844203 | 100 | py |
vosk-api | vosk-api-master/python/vosk/transcriber/transcriber.py | import json
import logging
import asyncio
import websockets
import srt
import datetime
import shlex
import subprocess
from vosk import KaldiRecognizer, Model
from queue import Queue
from timeit import default_timer as timer
from multiprocessing.dummy import Pool
CHUNK_SIZE = 4000
SAMPLE_RATE = 16000.0
class Transcri... | 7,336 | 35.321782 | 161 | py |
vosk-api | vosk-api-master/python/vosk/transcriber/cli.py | #!/usr/bin/env python3
import argparse
import logging
import sys
import os
from pathlib import Path
from vosk import list_models, list_languages
from vosk.transcriber.transcriber import Transcriber
parser = argparse.ArgumentParser(
description = "Transcribe audio file and save result in selected format")
par... | 2,697 | 28.977778 | 97 | py |
vosk-api | vosk-api-master/python/vosk/transcriber/__init__.py | 0 | 0 | 0 | py | |
sysbench | sysbench-master/third_party/cram/setup.py | #!/usr/bin/env python
"""Installs cram"""
import os
import sys
from distutils.core import setup
COMMANDS = {}
CRAM_DIR = os.path.abspath(os.path.dirname(__file__))
try:
from wheel.bdist_wheel import bdist_wheel
except ImportError:
pass
else:
COMMANDS['bdist_wheel'] = bdist_wheel
def long_description():
... | 1,529 | 29 | 70 | py |
sysbench | sysbench-master/third_party/cram/cram/__main__.py | """Main module (invoked by "python -m cram")"""
import sys
import cram
try:
sys.exit(cram.main(sys.argv[1:]))
except KeyboardInterrupt:
pass
| 152 | 12.909091 | 47 | py |
sysbench | sysbench-master/third_party/cram/cram/_main.py | """Main entry point"""
import optparse
import os
import shlex
import shutil
import sys
import tempfile
try:
import configparser
except ImportError: # pragma: nocover
import ConfigParser as configparser
from cram._cli import runcli
from cram._encoding import b, fsencode, stderrb, stdoutb
from cram._run import... | 7,967 | 35.888889 | 78 | py |
sysbench | sysbench-master/third_party/cram/cram/_process.py | """Utilities for running subprocesses"""
import os
import signal
import subprocess
import sys
from cram._encoding import fsdecode
__all__ = ['PIPE', 'STDOUT', 'execute']
PIPE = subprocess.PIPE
STDOUT = subprocess.STDOUT
def _makeresetsigpipe():
"""Make a function to reset SIGPIPE to SIG_DFL (for use in subproc... | 1,805 | 31.836364 | 77 | py |
sysbench | sysbench-master/third_party/cram/cram/_diff.py | """Utilities for diffing test files and their output"""
import codecs
import difflib
import re
from cram._encoding import b
__all__ = ['esc', 'glob', 'regex', 'unified_diff']
def _regex(pattern, s):
"""Match a regular expression or return False if invalid.
>>> from cram._encoding import b
>>> [bool(_re... | 5,630 | 34.415094 | 78 | py |
sysbench | sysbench-master/third_party/cram/cram/_run.py | """The test runner"""
import os
import sys
from cram._encoding import b, fsdecode, fsencode
from cram._test import testfile
__all__ = ['runtests']
if sys.platform == 'win32': # pragma: nocover
def _walk(top):
top = fsdecode(top)
for root, dirs, files in os.walk(top):
yield (fsencode(... | 2,345 | 28.696203 | 74 | py |
sysbench | sysbench-master/third_party/cram/cram/_xunit.py | """xUnit XML output"""
import locale
import os
import re
import socket
import sys
import time
from cram._encoding import u, ul
__all__ = ['runxunit']
_widecdataregex = ul(r"'(?:[^\x09\x0a\x0d\x20-\ud7ff\ue000-\ufffd"
r"\U00010000-\U0010ffff]|]]>)'")
_narrowcdataregex = ul(r"'(?:[^\x09\x0a\x0d\x... | 6,247 | 34.908046 | 77 | py |
sysbench | sysbench-master/third_party/cram/cram/__init__.py | """Functional testing framework for command line applications"""
from cram._main import main
from cram._test import test, testfile
__all__ = ['main', 'test', 'testfile']
| 172 | 23.714286 | 64 | py |
sysbench | sysbench-master/third_party/cram/cram/_cli.py | """The command line interface implementation"""
import os
import sys
from cram._encoding import b, bytestype, stdoutb
from cram._process import execute
__all__ = ['runcli']
def _prompt(question, answers, auto=None):
"""Write a prompt to stdout and ask for answer in stdin.
answers should be a string, with e... | 4,484 | 31.5 | 78 | py |
sysbench | sysbench-master/third_party/cram/cram/_encoding.py | """Encoding utilities"""
import os
import sys
try:
import builtins
except ImportError:
import __builtin__ as builtins
__all__ = ['b', 'bchr', 'bytestype', 'envencode', 'fsdecode', 'fsencode',
'stdoutb', 'stderrb', 'u', 'ul', 'unicodetype']
bytestype = getattr(builtins, 'bytes', str)
unicodetype =... | 2,990 | 26.953271 | 75 | py |
sysbench | sysbench-master/third_party/cram/cram/_test.py | """Utilities for running individual tests"""
import itertools
import os
import re
import time
from cram._encoding import b, bchr, bytestype, envencode, unicodetype
from cram._diff import esc, glob, regex, unified_diff
from cram._process import PIPE, STDOUT, execute
__all__ = ['test', 'testfile']
_needescape = re.co... | 7,959 | 33.458874 | 77 | py |
sysbench | sysbench-master/third_party/cram/tests/run-doctests.py | #!/usr/bin/env python
import doctest
import os
import sys
def _getmodules(pkgdir):
"""Import and yield modules in pkgdir"""
for root, dirs, files in os.walk(pkgdir):
if '__pycache__' in dirs:
dirs.remove('__pycache__')
for fn in files:
if not fn.endswith('.py') or fn ==... | 1,182 | 27.853659 | 61 | py |
riscv-ocelot | riscv-ocelot-master/util/pipeview-helper.py | #!/usr/bin/env python
#******************************************************************************
# Copyright (c) 2016, The Regents of the University of California (Regents).
# All Rights Reserved. See LICENSE for license details.
#------------------------------------------------------------------------------
#---... | 8,876 | 35.9875 | 88 | py |
riscv-ocelot | riscv-ocelot-master/util/branch-processor.py | import argparse
import sys
parser = argparse.ArgumentParser(description='BOOM branch trace analyzer')
parser.add_argument('-v', '--verbose', action='store_true',
help='echo log contents')
parser.add_argument('file', nargs='?', type=argparse.FileType('r'),
default=sys.stdin,
... | 3,997 | 34.696429 | 92 | py |
riscv-ocelot | riscv-ocelot-master/docs/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup ------------------------------------------------------------... | 5,400 | 29.173184 | 79 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/setup.py | import os
from distutils.sysconfig import get_python_lib
libDir=get_python_lib()
curDir=os.path.dirname(__file__)
curDir=os.path.abspath(curDir)
print('libDir='+libDir)
print('curDir='+curDir)
with open(libDir+'/'+'cvf.pth','w') as f:
f.write(curDir+'\n')
'''
libs=['bfc']
for lib in libs:
with open(lib... | 383 | 17.285714 | 46 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/__init__.py | 0 | 0 | 0 | py | |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/test/test_dataset_render.py |
import os
import sys
envs=os.environ.get("PATH")
os.environ['PATH']=envs+';F:/dev/cvfx/assim410/bin-v140/x64/release/;F:/dev/cvfx/opencv3413/bin-v140/x64/Release/;F:/dev/cvfx/bin/x64/;D:/setup/Anaconda3/;'
import cv2
from cv2 import data
from skimage import measurecd
import random
import numpy as np
import pycocot... | 7,343 | 29.857143 | 156 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/test/test_cvr.py |
import os
import sys
import numpy as np
import cv2
import time
#envs=os.environ.get("PATH")
#os.environ['PATH']=envs+';F:/dev/cvfx/assim410/bin-v140/x64/release/;F:/dev/cvfx/opencv3413/bin-v140/x64/Release/;F:/dev/cvfx/bin/x64/;D:/setup/Anaconda3/;'
import cvf.cvrender as cvr
#cvr.init("")
#dr=cvr.DatasetRender()
#... | 952 | 18.44898 | 157 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/compress/compress.py | import os
mlx_path = "/home/aa/libs/cvf/Python/compress/compressmodel.mlx" # mlx脚本的路径
root_dir = "/home/aa/data/3dmodels" # 需要处理模型的根路径
for dr in os.listdir(root_dir):
model_dir = os.path.join(root_dir, dr)
if os.path.isdir(model_dir):
model_path = os.path.join(model_dir, dr+".3ds") # 模型的路径，模型后缀根据实... | 622 | 35.647059 | 118 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_bop_dataset.py |
import os
import sys
#envs=os.environ.get("PATH")
#os.environ['PATH']=envs+';F:/dev/cvfx/assim410/bin-v140/x64/release/;F:/dev/cvfx/opencv3413/bin-v140/x64/Release/;F:/dev/cvfx/bin/x64/;D:/setup/Anaconda3/;'
import cv2
from cv2 import data
from skimage import measure
import random
import numpy as np
def categories... | 7,686 | 30.504098 | 157 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/compositer.py |
from numpy.core.fromnumeric import shape
import cvf.bfc as bfc
import cvf.cvrender as cvr
import cv2
import random
'''composite a set of image objects with a background image
harmonizeF : transform fg color with respect to bg
degradeF : add random smooth and noise to fg, specified with maxSmoothSigma and maxNoiseStd... | 3,155 | 35.275862 | 120 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_test_idea.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
import argparse
import numpy as np
import math
import random
import numpy as np
import cv2
import os
import shutil
import csv
"""
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
sam... | 8,753 | 32.159091 | 139 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_delg_databasev2.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
import argparse
import numpy as np
from sympy import im
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
samples=cvr.sampleSphere(nViewSamples)
viewClusters=[]
for i in rang... | 3,872 | 29.496063 | 137 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_det2d_dataset.py |
import os
import sys
import cv2
from cv2 import data
from skimage import measure
import random
import numpy as np
import pycocotools as coco
import pycocotools.mask
def categories(label, label_id):
category = {}
category['supercategory'] = 'component'
category['id'] = label_id
category['name'] = la... | 8,333 | 30.80916 | 134 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_delg_database.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
import argparse
import numpy as np
from sympy import im
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
samples=cvr.sampleSphere(nViewSamples)
viewClusters=[]
for i in rang... | 3,872 | 29.496063 | 137 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_viewclassify_dataset.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
import argparse
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
samples=cvr.sampleSphere(nViewSamples)
viewClusters=[]
for i in range(0,len(views)):
viewClusters.app... | 4,178 | 30.186567 | 137 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/cls_angle_render_viewclassify_dataset.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
samples=cvr.sampleSphere(nViewSamples)
viewClusters=[]
for i in range(0,len(views)):
viewClusters.append([])
for... | 3,543 | 29.551724 | 137 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/__init__.py | 0 | 0 | 0 | py | |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/tools/render_delg_dataset.py | import cvf.bfc as bfc
import cvf.cvrender as cvr
import json
import argparse
import numpy as np
from sympy import im
def gen_views(nViews, nViewSamples, marginRatio=0):
assert(nViewSamples>=nViews)
views=cvr.sampleSphere(nViews)
samples=cvr.sampleSphere(nViewSamples)
viewClusters=[]
for i in rang... | 4,146 | 30.416667 | 137 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/bfc/__init__.py |
import os
envs=os.environ.get("PATH")
os.environ['PATH']=envs+';F:/dev/cvfx/assim410/bin-v140/x64/release/;F:/dev/cvfx/opencv3413/bin-v140/x64/Release/;F:/dev/cvfx/bin/x64/;D:/setup/Anaconda3/;'
| 197 | 32 | 156 | py |
nonlocal-3dtracking | nonlocal-3dtracking-master/cvf/Python/cvf/bfc/netcall.py | #from socketserver import TCPServer, StreamRequestHandler
import socketserver
import time
import numpy as np
import cv2
import struct
from numpy.core.defchararray import decode
BUFSIZ = 1024
'''
def encodeBytesList(bytesList):
INT_SIZE=4
totalSize=INT_SIZE*(len(bytesList)+1)
head=struct.pack('!i',len(byt... | 11,842 | 25.854875 | 81 | py |
DeSpaWN | DeSpaWN-main/Script_DeSpaWN.py | # -*- coding: utf-8 -*-
"""
Title: Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
------ (DeSpaWN)
Description:
--------------
Toy script to showcase the deep neural network DeSpaWN.
Please cite the corresponding paper:
Michau, G., Frusque, G., & Fin... | 5,817 | 38.849315 | 195 | py |
DeSpaWN | DeSpaWN-main/lib/despawnLayers.py | # -*- coding: utf-8 -*-
"""
Title: Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
------ (DeSpaWN)
Description:
--------------
Function to generate the layers used in DeSpaWN TF model.
Please cite the corresponding paper:
Michau, G., Frusque, G., & Fink, O. (... | 6,326 | 40.084416 | 111 | py |
DeSpaWN | DeSpaWN-main/lib/despawn.py | # -*- coding: utf-8 -*-
"""
Title: Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series
------ (DeSpaWN)
Description:
--------------
Function to generate a DeSpaWN TF model.
Please cite the corresponding paper:
Michau, G., Frusque, G., & Fink, O. (2022).
... | 6,679 | 43.238411 | 144 | py |
gym-mupen64plus | gym-mupen64plus-master/example.py | #!/bin/python
import gym, gym_mupen64plus
env = gym.make('Mario-Kart-Luigi-Raceway-v0')
env.reset()
print("NOOP waiting for green light")
for i in range(18):
(obs, rew, end, info) = env.step([0, 0, 0, 0, 0]) # NOOP until green light
print("GO! ...drive straight as fast as possible...")
for i in range(50):
(o... | 694 | 26.8 | 78 | py |
gym-mupen64plus | gym-mupen64plus-master/setup.py | from setuptools import setup
setup(name='gym_mupen64plus',
version='0.0.3',
install_requires=['gym==0.7.4',
'numpy==1.16.2',
'PyYAML==5.1',
'termcolor==1.1.0',
'mss==4.0.2', # 4.0.3 removes support for Python 2.... | 374 | 33.090909 | 76 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/__init__.py | import logging
from gym_mupen64plus.envs.MarioKart64.mario_kart_env import MarioKartEnv
from gym_mupen64plus.envs.Smash.smash_env import SmashEnv
logger = logging.getLogger(__name__)
| 184 | 29.833333 | 72 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/mupen64plus_env.py | import sys
PY3_OR_LATER = sys.version_info[0] >= 3
if PY3_OR_LATER:
# Python 3 specific definitions
from http.server import BaseHTTPRequestHandler, HTTPServer
else:
# Python 2 specific definitions
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import abc
import array
from contextlib im... | 18,495 | 36.824131 | 120 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/__init__.py | 0 | 0 | 0 | py | |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/Smash/smash_env.py | import abc
import inspect
import itertools
import os
import yaml
from termcolor import cprint
from gym import spaces
from gym_mupen64plus.envs.mupen64plus_env \
import Mupen64PlusEnv, ControllerState, IMAGE_HELPER
import numpy as np
from gym_mupen64plus.envs.Smash \
import damage_parser, damage_tracker
mk_config =... | 13,419 | 44.185185 | 122 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/Smash/discrete_envs.py | import abc
from gym_mupen64plus.envs.Smash.smash_env import SmashEnv
from gym import spaces
def _create_action_map():
joystick_magnitudes = [
("HARDNEG", [-120]),
("MIDNEG", [-60]),
("NEUTRAL", [0]),
("MIDPOS", [60]),
("HARDPOS", [120]),
]
# Button orders are A, B,... | 2,402 | 34.865672 | 99 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/Smash/damage_parser.py | import numpy as np
import cv2
import os.path
_HEIGHT = 38
SUCCESS = 0
PERCENT_UNDETECTED = 1 # Couldn't detect the % character.
DIGIT_AFTER_PERCENT_UNDETECTED = 2 # Couldn't detect any digits after the % character.
ZERO_NOT_RIGHT_COLOR = 3 # We detected 0, but it was unexpectedly dark, so
... | 9,396 | 45.519802 | 87 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/Smash/__init__.py | from gym.envs.registration import register
from gym_mupen64plus.envs.Smash.smash_env import SmashEnv
from gym_mupen64plus.envs.Smash.discrete_envs import SmashDiscreteEnv
# TODO: Add support for other oppenents, colors, maps.
characters = ['luigi', 'mario', 'dk', 'link', 'samus', 'falcon', 'ness',
'yosh... | 1,105 | 31.529412 | 72 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/Smash/damage_tracker.py | from gym_mupen64plus.envs.Smash \
import damage_parser
_NUM_DMGS_TO_DETECT = 3 # How many times we need to detect a damage to update.
# When the player dies, his damage disappears for a few frames before
# resetting to zero. We detect this to detect deaths, which is necessary
# because you can die at 0% damage, an... | 5,085 | 48.862745 | 87 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/MarioKart64/discrete_envs.py | import abc
from gym_mupen64plus.envs.MarioKart64.mario_kart_env import MarioKartEnv
from gym import spaces
class DiscreteActions:
ACTION_MAP = [
("NO_OP", [ 0, 0, 0, 0, 0]),
("STRAIGHT", [ 0, 0, 1, 0, 0]),
("BRAKE", [ 0, 0, 0, 1, 0]),
("BACK_UP", ... | 1,602 | 34.622222 | 99 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/MarioKart64/mario_kart_env.py | import abc
import inspect
import itertools
import os
import yaml
from termcolor import cprint
from gym import spaces
from gym_mupen64plus.envs.mupen64plus_env \
import Mupen64PlusEnv, ControllerState, IMAGE_HELPER
import numpy as np
###############################################
class MarioKartEnv(Mupen64PlusEnv):
... | 16,451 | 41.076726 | 369 | py |
gym-mupen64plus | gym-mupen64plus-master/gym_mupen64plus/envs/MarioKart64/__init__.py | from gym.envs.registration import register
from gym_mupen64plus.envs.MarioKart64.mario_kart_env import MarioKartEnv
from gym_mupen64plus.envs.MarioKart64.discrete_envs import MarioKartDiscreteEnv
courses = [
{ 'name' : 'Luigi-Raceway', 'cup': 'Mushroom', 'max_steps': 1250 },
{ 'name' : 'Moo-Moo-Farm', ... | 2,335 | 43.923077 | 79 | py |
entropic_barrier | entropic_barrier-master/setup.py | from setuptools import setup, find_packages
setup(
name='diffusion',
author='Guangyao Zhou',
author_email='tczhouguangyao@gmail.com',
license='MIT',
# Package info
packages=find_packages(),
include_package_data=True,
zip_safe=True,
)
| 267 | 19.615385 | 44 | py |
entropic_barrier | entropic_barrier-master/golf_course/utils.py | import pickle
import numpy as np
DEFAULT_THRESHOLD_MULTIPLIER = 4
DEFAULT_RELATIVE_SCALE = 0.1
def uniform_on_sphere(center, radius, num_samples=1, reflecting_boundary_radius=np.inf):
"""uniform_on_sphere
Uniform distribution on a sphere
Parameters
----------
center : np array
center i... | 3,260 | 30.355769 | 90 | py |
entropic_barrier | entropic_barrier-master/golf_course/__init__.py | 0 | 0 | 0 | py | |
entropic_barrier | entropic_barrier-master/golf_course/core/target.py | from math import *
import numba
import numpy as np
import sympy
from scipy.special import gamma
from sympy.utilities.lambdify import lambdastr
import golf_course.estimate.numba as nestimate
class Target(object):
"""
Target
A class that describes regions around important points in the energy function.
... | 10,808 | 37.466192 | 116 | py |
entropic_barrier | entropic_barrier-master/golf_course/core/model.py | import numpy as np
import golf_course.estimate.numba as nestimate
from golf_course.core.target import Target
from golf_course.estimate.capacity import estimate_capacity
class ToyModel(object):
"""
ToyModel
This class defines the toy model we are going to use.
For simplicity, in our program, we will s... | 3,065 | 36.390244 | 107 | py |
entropic_barrier | entropic_barrier-master/golf_course/core/__init__.py | 0 | 0 | 0 | py | |
entropic_barrier | entropic_barrier-master/golf_course/estimate/numba.py | import numba
import numpy as np
from golf_course.utils import DEFAULT_THRESHOLD_MULTIPLIER
@numba.jit(nopython=True, nogil=True, cache=True)
def advance_flat_regions(current_location, centers, radiuses, time_step):
boundary_radius = 1.0
scale = np.sqrt(time_step)
n_dim = current_location.size
n_targe... | 7,720 | 34.417431 | 95 | py |
entropic_barrier | entropic_barrier-master/golf_course/estimate/__init__.py | 0 | 0 | 0 | py | |
entropic_barrier | entropic_barrier-master/golf_course/estimate/capacity.py | import multiprocessing as mp
import numpy as np
from scipy.cluster.vq import kmeans2
from scipy.optimize import linear_sum_assignment
from scipy.spatial.distance import cdist
import golf_course.estimate.numba as nestimate
from golf_course.utils import uniform_on_sphere
from tqdm import tqdm
def estimate_capacity(
... | 22,543 | 32.201767 | 118 | py |
entropic_barrier | entropic_barrier-master/golf_course/estimate/hitprob.py | import functools
import multiprocessing as mp
import timeit
import numpy as np
import golf_course.estimate.numba as nestimate
import joblib
from golf_course.utils import sample_uniform_initial_location
from tqdm import tqdm
def get_simple_hitprob_parallelize(
centers, target_radiuses, time_step, initial_locatio... | 6,584 | 37.063584 | 88 | py |
entropic_barrier | entropic_barrier-master/scripts/simulation_based_hitprob.py | import os
import pickle
import tempfile
import numpy as np
import sacred
from golf_course.core.model import ToyModel
from golf_course.estimate.hitprob import get_nontrivial_hitprob
from golf_course.utils import (DEFAULT_RELATIVE_SCALE, load_model_params,
sample_random_locations)
from sa... | 5,335 | 32.35 | 87 | py |
entropic_barrier | entropic_barrier-master/scripts/capacity_based_hitprob.py | import os
import pickle
import tempfile
import timeit
import sacred
from golf_course.core.model import ToyModel
from golf_course.utils import load_model_params
from sacred.observers import FileStorageObserver
log_folder = os.path.expanduser('~/logs/diffusion/capacity_based_hitprob')
ex = sacred.Experiment('capacity_b... | 3,917 | 30.596774 | 84 | py |
entropic_barrier | entropic_barrier-master/scripts/sanity_checks.py | import os
import pickle
import tempfile
from pprint import pprint
import numpy as np
import sacred
from golf_course.core.target import Target
from golf_course.estimate.capacity import estimate_capacity
from golf_course.estimate.hitprob import get_simple_hitprob
from sacred.observers import FileStorageObserver
log_fo... | 5,646 | 29.524324 | 105 | py |
TTS | TTS-master/setup.py | #!/usr/bin/env python
import argparse
import os
import shutil
import subprocess
import sys
import numpy
import setuptools.command.build_py
import setuptools.command.develop
from setuptools import find_packages, setup
from distutils.extension import Extension
from Cython.Build import cythonize
# parameters for wheel... | 5,141 | 33.05298 | 91 | py |
TTS | TTS-master/TTS/__init__.py | 0 | 0 | 0 | py | |
TTS | TTS-master/TTS/speaker_encoder/losses.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
# adapted from https://github.com/cvqluu/GE2E-Loss
class GE2ELoss(nn.Module):
def __init__(self, init_w=10.0, init_b=-5.0, loss_method="softmax"):
"""
Implementation of the Generalized End-to-End loss defined in h... | 6,369 | 38.565217 | 172 | py |
TTS | TTS-master/TTS/speaker_encoder/model.py | import torch
from torch import nn
class LSTMWithProjection(nn.Module):
def __init__(self, input_size, hidden_size, proj_size):
super().__init__()
self.input_size = input_size
self.hidden_size = hidden_size
self.proj_size = proj_size
self.lstm = nn.LSTM(input_size, hidden_si... | 4,118 | 35.451327 | 112 | py |
TTS | TTS-master/TTS/speaker_encoder/dataset.py | import numpy
import numpy as np
import queue
import torch
import random
from torch.utils.data import Dataset
from tqdm import tqdm
class MyDataset(Dataset):
def __init__(self, ap, meta_data, voice_len=1.6, num_speakers_in_batch=64,
storage_size=1, sample_from_storage_p=0.5, additive_noise=0,
... | 6,882 | 39.488235 | 133 | py |
TTS | TTS-master/TTS/speaker_encoder/__init__.py | 0 | 0 | 0 | py | |
TTS | TTS-master/TTS/speaker_encoder/utils/generic_utils.py | import datetime
import os
import re
import torch
from TTS.speaker_encoder.model import SpeakerEncoder
from TTS.utils.generic_utils import check_argument
def to_camel(text):
text = text.capitalize()
return re.sub(r'(?!^)_([a-zA-Z])', lambda m: m.group(1).upper(), text)
def setup_model(c):
model = Speake... | 5,843 | 48.525424 | 134 | py |
TTS | TTS-master/TTS/speaker_encoder/utils/prepare_voxceleb.py | # coding=utf-8
# Copyright (C) 2020 ATHENA AUTHORS; Yiping Peng; Ne Luo
# 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 at
#
# http://www.apache.org/licenses/LICENSE-2... | 8,952 | 37.260684 | 104 | py |
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