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setup.py
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setup.py
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#!/usr/bin/env python3
""" Install packages for faceswap.py """
# >>> ENV
import ctypes
import json
import locale
import os
import re
import sys
import platform
from subprocess import CalledProcessError, run, PIPE, Popen
INSTALL_FAILED = False
# Revisions of tensorflow-gpu and cuda/cudnn requirements
TENSORFLOW_REQUIREMENTS = {"==1.12.0": ["9.0", "7.2"],
">=1.13.1,<1.15": ["10.0", "7.4"]} # TF 2.0 Not currently supported
# Mapping of Python packages to their conda names if different from pypi or in non-default channel
CONDA_MAPPING = {
# "opencv-python": ("opencv", "conda-forge"), # Periodic issues with conda-forge opencv
"fastcluster": ("fastcluster", "conda-forge"),
"toposort": ("toposort", "conda-forge"),
"imageio-ffmpeg": ("imageio-ffmpeg", "conda-forge")}
class Environment():
""" The current install environment """
def __init__(self, logger=None, updater=False):
""" logger will override built in Output() function if passed in
updater indicates that this is being run from update_deps.py
so certain steps can be skipped/output limited """
self.conda_required_packages = [("tk", )]
self.output = logger if logger else Output()
self.updater = updater
# Flag that setup is being run by installer so steps can be skipped
self.is_installer = False
self.cuda_path = ""
self.cuda_version = ""
self.cudnn_version = ""
self.enable_amd = False
self.enable_docker = False
self.enable_cuda = False
self.required_packages = self.get_required_packages()
self.missing_packages = list()
self.conda_missing_packages = list()
self.process_arguments()
self.check_permission()
self.check_system()
self.check_python()
self.output_runtime_info()
self.check_pip()
self.upgrade_pip()
self.installed_packages = self.get_installed_packages()
self.get_installed_conda_packages()
@property
def encoding(self):
""" Get system encoding """
return locale.getpreferredencoding()
@property
def os_version(self):
""" Get OS Verion """
return platform.system(), platform.release()
@property
def py_version(self):
""" Get Python Verion """
return platform.python_version(), platform.architecture()[0]
@property
def is_conda(self):
""" Check whether using Conda """
return bool("conda" in sys.version.lower())
@property
def ld_library_path(self):
""" Get the ld library path """
return os.environ.get("LD_LIBRARY_PATH", None)
@property
def is_admin(self):
""" Check whether user is admin """
try:
retval = os.getuid() == 0
except AttributeError:
retval = ctypes.windll.shell32.IsUserAnAdmin() != 0
return retval
@property
def is_virtualenv(self):
""" Check whether this is a virtual environment """
if not self.is_conda:
retval = (hasattr(sys, "real_prefix") or
(hasattr(sys, "base_prefix") and sys.base_prefix != sys.prefix))
else:
prefix = os.path.dirname(sys.prefix)
retval = (os.path.basename(prefix) == "envs")
return retval
def process_arguments(self):
""" Process any cli arguments """
argv = [arg for arg in sys.argv]
for arg in argv:
if arg == "--installer":
self.is_installer = True
if arg == "--nvidia":
self.enable_cuda = True
if arg == "--amd":
self.enable_amd = True
@staticmethod
def get_required_packages():
""" Load requirements list """
packages = list()
pypath = os.path.dirname(os.path.realpath(__file__))
requirements_file = os.path.join(pypath, "requirements.txt")
with open(requirements_file) as req:
for package in req.readlines():
package = package.strip()
if package and (not package.startswith("#")):
packages.append(package)
return packages
def check_permission(self):
""" Check for Admin permissions """
if self.updater:
return
if self.is_admin:
self.output.info("Running as Root/Admin")
else:
self.output.warning("Running without root/admin privileges")
def check_system(self):
""" Check the system """
if not self.updater:
self.output.info("The tool provides tips for installation\n"
"and installs required python packages")
self.output.info("Setup in %s %s" % (self.os_version[0], self.os_version[1]))
if not self.updater and not self.os_version[0] in ["Windows", "Linux", "Darwin"]:
self.output.error("Your system %s is not supported!" % self.os_version[0])
exit(1)
def check_python(self):
""" Check python and virtual environment status """
self.output.info("Installed Python: {0} {1}".format(self.py_version[0],
self.py_version[1]))
if not (self.py_version[0].split(".")[0] == "3"
and self.py_version[0].split(".")[1] in ("3", "4", "5", "6", "7")
and self.py_version[1] == "64bit") and not self.updater:
self.output.error("Please run this script with Python version 3.3, 3.4, 3.5, 3.6 or "
"3.7 64bit and try again.")
exit(1)
def output_runtime_info(self):
""" Output runtime info """
if self.is_conda:
self.output.info("Running in Conda")
if self.is_virtualenv:
self.output.info("Running in a Virtual Environment")
self.output.info("Encoding: {}".format(self.encoding))
def check_pip(self):
""" Check installed pip version """
if self.updater:
return
try:
import pip # noqa pylint:disable=unused-import
except ImportError:
self.output.error("Import pip failed. Please Install python3-pip and try again")
exit(1)
def upgrade_pip(self):
""" Upgrade pip to latest version """
if not self.is_conda:
# Don't do this with Conda, as we must use conda's pip
self.output.info("Upgrading pip...")
pipexe = [sys.executable, "-m", "pip"]
pipexe.extend(["install", "--no-cache-dir", "-qq", "--upgrade"])
if not self.is_admin and not self.is_virtualenv:
pipexe.append("--user")
pipexe.append("pip")
run(pipexe)
import pip
pip_version = pip.__version__
self.output.info("Installed pip: {}".format(pip_version))
def get_installed_packages(self):
""" Get currently installed packages """
installed_packages = dict()
chk = Popen("\"{}\" -m pip freeze".format(sys.executable),
shell=True, stdout=PIPE)
installed = chk.communicate()[0].decode(self.encoding).splitlines()
for pkg in installed:
if "==" not in pkg:
continue
item = pkg.split("==")
installed_packages[item[0]] = item[1]
return installed_packages
def get_installed_conda_packages(self):
""" Get currently installed conda packages """
if not self.is_conda:
return
chk = os.popen("conda list").read()
installed = [re.sub(" +", " ", line.strip())
for line in chk.splitlines() if not line.startswith("#")]
for pkg in installed:
item = pkg.split(" ")
self.installed_packages[item[0]] = item[1]
def update_tf_dep(self):
""" Update Tensorflow Dependency """
if self.is_conda:
self.update_tf_dep_conda()
return
if not self.enable_cuda:
self.required_packages.append("tensorflow==1.14.0")
return
tf_ver = None
cudnn_inst = self.cudnn_version.split(".")
for key, val in TENSORFLOW_REQUIREMENTS.items():
cuda_req = val[0]
cudnn_req = val[1].split(".")
if cuda_req == self.cuda_version and (cudnn_req[0] == cudnn_inst[0] and
cudnn_req[1] <= cudnn_inst[1]):
tf_ver = key
break
if tf_ver:
tf_ver = "tensorflow-gpu{}".format(tf_ver)
self.required_packages.append(tf_ver)
return
self.output.warning(
"The minimum Tensorflow requirement is 1.12. \n"
"Tensorflow currently has no official prebuild for your CUDA, cuDNN "
"combination.\nEither install a combination that Tensorflow supports or "
"build and install your own tensorflow-gpu.\r\n"
"CUDA Version: {}\r\n"
"cuDNN Version: {}\r\n"
"Help:\n"
"Building Tensorflow: https://www.tensorflow.org/install/install_sources\r\n"
"Tensorflow supported versions: "
"https://www.tensorflow.org/install/source#tested_build_configurations".format(
self.cuda_version, self.cudnn_version))
custom_tf = input("Location of custom tensorflow-gpu wheel (leave "
"blank to manually install): ")
if not custom_tf:
return
custom_tf = os.path.realpath(os.path.expanduser(custom_tf))
if not os.path.isfile(custom_tf):
self.output.error("{} not found".format(custom_tf))
elif os.path.splitext(custom_tf)[1] != ".whl":
self.output.error("{} is not a valid pip wheel".format(custom_tf))
elif custom_tf:
self.required_packages.append(custom_tf)
def update_tf_dep_conda(self):
""" Update Conda TF Dependency """
if not self.enable_cuda:
self.required_packages.append("tensorflow==1.14.0")
else:
self.required_packages.append("tensorflow-gpu==1.14.0")
def update_amd_dep(self):
""" Update amd dependency for AMD cards """
if self.enable_amd:
self.required_packages.append("plaidml-keras==0.6.4")
def set_config(self):
""" Set the backend in the faceswap config file """
if self.enable_amd:
backend = "amd"
elif self.enable_cuda:
backend = "nvidia"
else:
backend = "cpu"
config = {"backend": backend}
pypath = os.path.dirname(os.path.realpath(__file__))
config_file = os.path.join(pypath, "config", ".faceswap")
with open(config_file, "w") as cnf:
json.dump(config, cnf)
self.output.info("Faceswap config written to: {}".format(config_file))
class Output():
""" Format and display output """
def __init__(self):
self.red = "\033[31m"
self.green = "\033[32m"
self.yellow = "\033[33m"
self.default_color = "\033[0m"
self.term_support_color = platform.system() in ("Linux", "Darwin")
@staticmethod
def __indent_text_block(text):
""" Indent a text block """
lines = text.splitlines()
if len(lines) > 1:
out = lines[0] + "\r\n"
for i in range(1, len(lines)-1):
out = out + " " + lines[i] + "\r\n"
out = out + " " + lines[-1]
return out
return text
def info(self, text):
""" Format INFO Text """
trm = "INFO "
if self.term_support_color:
trm = "{}INFO {} ".format(self.green, self.default_color)
print(trm + self.__indent_text_block(text))
def warning(self, text):
""" Format WARNING Text """
trm = "WARNING "
if self.term_support_color:
trm = "{}WARNING{} ".format(self.yellow, self.default_color)
print(trm + self.__indent_text_block(text))
def error(self, text):
""" Format ERROR Text """
global INSTALL_FAILED # pylint:disable=global-statement
trm = "ERROR "
if self.term_support_color:
trm = "{}ERROR {} ".format(self.red, self.default_color)
print(trm + self.__indent_text_block(text))
INSTALL_FAILED = True
class Checks():
""" Pre-installation checks """
def __init__(self, environment):
self.env = environment
self.output = Output()
self.tips = Tips()
# Checks not required for installer
if self.env.is_installer:
self.env.update_tf_dep()
self.env.update_amd_dep()
return
# Ask AMD/Docker/Cuda
self.amd_ask_enable()
if not self.env.enable_amd:
self.docker_ask_enable()
self.cuda_ask_enable()
if self.env.os_version[0] != "Linux" and self.env.enable_docker and self.env.enable_cuda:
self.docker_confirm()
if self.env.enable_docker:
self.docker_tips()
self.env.set_config()
exit(0)
# Check for CUDA and cuDNN
if self.env.enable_cuda and self.env.is_conda:
self.output.info("Skipping Cuda/cuDNN checks for Conda install")
elif self.env.enable_cuda and self.env.os_version[0] in ("Linux", "Windows"):
self.cuda_check()
self.cudnn_check()
elif self.env.enable_cuda and self.env.os_version[0] not in ("Linux", "Windows"):
self.tips.macos()
self.output.warning("Cannot find CUDA on macOS")
self.env.cuda_version = input("Manually specify CUDA version: ")
self.env.update_tf_dep()
self.env.update_amd_dep()
if self.env.os_version[0] == "Windows":
self.tips.pip()
@property
def cuda_keys_windows(self):
""" Return the OS Environ CUDA Keys for Windows """
return [key for key in os.environ.keys() if key.lower().startswith("cuda_path_v")]
def amd_ask_enable(self):
""" Enable or disable Plaidml for AMD"""
self.output.info("AMD Support: AMD GPU support is currently limited.\r\n"
"Nvidia Users MUST answer 'no' to this option.")
i = input("Enable AMD Support? [y/N] ")
if i in ("Y", "y"):
self.output.info("AMD Support Enabled")
self.env.enable_amd = True
else:
self.output.info("AMD Support Disabled")
self.env.enable_amd = False
def docker_ask_enable(self):
""" Enable or disable Docker """
i = input("Enable Docker? [y/N] ")
if i in ("Y", "y"):
self.output.info("Docker Enabled")
self.env.enable_docker = True
else:
self.output.info("Docker Disabled")
self.env.enable_docker = False
def docker_confirm(self):
""" Warn if nvidia-docker on non-linux system """
self.output.warning("Nvidia-Docker is only supported on Linux.\r\n"
"Only CPU is supported in Docker for your system")
self.docker_ask_enable()
if self.env.enable_docker:
self.output.warning("CUDA Disabled")
self.env.enable_cuda = False
def docker_tips(self):
""" Provide tips for Docker use """
if not self.env.enable_cuda:
self.tips.docker_no_cuda()
else:
self.tips.docker_cuda()
def cuda_ask_enable(self):
""" Enable or disable CUDA """
i = input("Enable CUDA? [Y/n] ")
if i in ("", "Y", "y"):
self.output.info("CUDA Enabled")
self.env.enable_cuda = True
else:
self.output.info("CUDA Disabled")
self.env.enable_cuda = False
def cuda_check(self):
""" Check Cuda for Linux or Windows """
chk = Popen("nvcc -V", shell=True, stdout=PIPE, stderr=PIPE)
stdout, stderr = chk.communicate()
if not stderr:
version = re.search(r".*release (?P<cuda>\d+\.\d+)", stdout.decode(self.env.encoding))
self.env.cuda_version = version.groupdict().get("cuda", None)
if self.env.cuda_version:
self.output.info("CUDA version: " + self.env.cuda_version)
return
# Failed to load nvcc
if self.env.os_version[0] == "Linux":
self.cuda_check_linux()
elif self.env.os_version[0] == "Windows":
self.cuda_check_windows()
def cuda_check_linux(self):
""" Check Linux CUDA Version """
chk = os.popen("ldconfig -p | grep -P \"libcudart.so.\\d+.\\d+\" | head -n 1").read()
if self.env.ld_library_path and not chk:
paths = self.env.ld_library_path.split(":")
for path in paths:
chk = os.popen("ls {} | grep -P -o \"libcudart.so.\\d+.\\d+\" | "
"head -n 1".format(path)).read()
if chk:
break
if not chk:
self.output.error("CUDA not found. Install and try again.\n"
"Recommended version: CUDA 9.0 cuDNN 7.1.3\n"
"CUDA: https://developer.nvidia.com/cuda-downloads\n"
"cuDNN: https://developer.nvidia.com/rdp/cudnn-download")
return
cudavers = chk.strip().replace("libcudart.so.", "")
self.env.cuda_version = cudavers[:cudavers.find(" ")]
if self.env.cuda_version:
self.output.info("CUDA version: " + self.env.cuda_version)
self.env.cuda_path = chk[chk.find("=>") + 3:chk.find("targets") - 1]
def cuda_check_windows(self):
""" Check Windows CUDA Version """
cuda_keys = self.cuda_keys_windows
if not cuda_keys:
self.output.error("CUDA not found. See "
"https://github.com/deepfakes/faceswap/blob/master/INSTALL.md#cuda "
"for instructions")
return
self.env.cuda_version = cuda_keys[0].lower().replace("cuda_path_v", "").replace("_", ".")
self.env.cuda_path = os.environ[cuda_keys[0]]
self.output.info("CUDA version: " + self.env.cuda_version)
def cudnn_check(self):
""" Check Linux or Windows cuDNN Version from cudnn.h """
if self.env.os_version[0] == "Linux":
cudnn_checkfiles = self.cudnn_checkfiles_linux()
elif self.env.os_version[0] == "Windows":
if not self.env.cuda_path and not self.cuda_keys_windows:
self.output.error(
"CUDA not found. See "
"https://github.com/deepfakes/faceswap/blob/master/INSTALL.md#cuda "
"for instructions")
return
if not self.env.cuda_path:
self.env.cuda_path = os.environ[self.cuda_keys_windows[0]]
cudnn_checkfiles = self.cudnn_checkfiles_windows()
cudnn_checkfile = None
for checkfile in cudnn_checkfiles:
if os.path.isfile(checkfile):
cudnn_checkfile = checkfile
break
if not cudnn_checkfile:
self.output.error("cuDNN not found. See "
"https://github.com/deepfakes/faceswap/blob/master/INSTALL.md#cudnn "
"for instructions")
return
found = 0
with open(cudnn_checkfile, "r") as ofile:
for line in ofile:
if line.lower().startswith("#define cudnn_major"):
major = line[line.rfind(" ") + 1:].strip()
found += 1
elif line.lower().startswith("#define cudnn_minor"):
minor = line[line.rfind(" ") + 1:].strip()
found += 1
elif line.lower().startswith("#define cudnn_patchlevel"):
patchlevel = line[line.rfind(" ") + 1:].strip()
found += 1
if found == 3:
break
if found != 3:
self.output.error("cuDNN version could not be determined. See "
"https://github.com/deepfakes/faceswap/blob/master/INSTALL.md#cudnn "
"for instructions")
return
self.env.cudnn_version = "{}.{}".format(major, minor)
self.output.info("cuDNN version: {}.{}".format(self.env.cudnn_version, patchlevel))
@staticmethod
def cudnn_checkfiles_linux():
""" Return the checkfile locations for linux """
chk = os.popen("ldconfig -p | grep -P \"libcudnn.so.\\d+\" | head -n 1").read()
chk = chk.strip().replace("libcudnn.so.", "")
if not chk:
return list()
cudnn_vers = chk[0]
cudnn_path = chk[chk.find("=>") + 3:chk.find("libcudnn") - 1]
cudnn_path = cudnn_path.replace("lib", "include")
cudnn_checkfiles = [os.path.join(cudnn_path, "cudnn_v{}.h".format(cudnn_vers)),
os.path.join(cudnn_path, "cudnn.h")]
return cudnn_checkfiles
def cudnn_checkfiles_windows(self):
""" Return the checkfile locations for windows """
# TODO A more reliable way of getting the windows location
if not self.env.cuda_path:
return list()
cudnn_checkfile = os.path.join(self.env.cuda_path, "include", "cudnn.h")
return [cudnn_checkfile]
class Install():
""" Install the requirements """
def __init__(self, environment):
self.output = environment.output
self.env = environment
if not self.env.is_installer and not self.env.updater:
self.ask_continue()
self.check_missing_dep()
self.check_conda_missing_dep()
if (self.env.updater and
not self.env.missing_packages and not self.env.conda_missing_packages):
self.output.info("All Dependencies are up to date")
return
self.install_missing_dep()
if self.env.updater:
return
self.output.info("All python3 dependencies are met.\r\nYou are good to go.\r\n\r\n"
"Enter: 'python faceswap.py -h' to see the options\r\n"
" 'python faceswap.py gui' to launch the GUI")
def ask_continue(self):
""" Ask Continue with Install """
inp = input("Please ensure your System Dependencies are met. Continue? [y/N] ")
if inp in ("", "N", "n"):
self.output.error("Please install system dependencies to continue")
exit(1)
def check_missing_dep(self):
""" Check for missing dependencies """
for pkg in self.env.required_packages:
pkg = self.check_os_requirements(pkg)
if pkg is None:
continue
key = pkg.split("==")[0]
if self.env.is_conda:
# Get Conda alias for Key
key = CONDA_MAPPING.get(key, (key, None))[0]
if key not in self.env.installed_packages:
self.env.missing_packages.append(pkg)
continue
else:
if len(pkg.split("==")) > 1:
if pkg.split("==")[1] != self.env.installed_packages.get(key):
self.env.missing_packages.append(pkg)
continue
@staticmethod
def check_os_requirements(package):
""" Check that the required package is required for this OS """
if ";" not in package and "sys_platform" not in package:
return package
package = "".join(package.split())
pkg, tags = package.split(";")
tags = tags.split("==")
sys_platform = tags[tags.index("sys_platform") + 1].replace('"', "").replace("'", "")
if sys_platform == sys.platform:
return pkg
return None
def check_conda_missing_dep(self):
""" Check for conda missing dependencies """
if not self.env.is_conda:
return
for pkg in self.env.conda_required_packages:
key = pkg[0].split("==")[0]
if key not in self.env.installed_packages:
self.env.conda_missing_packages.append(pkg)
continue
else:
if len(pkg[0].split("==")) > 1:
if pkg[0].split("==")[1] != self.env.installed_conda_packages.get(key):
self.env.conda_missing_packages.append(pkg)
continue
def install_missing_dep(self):
""" Install missing dependencies """
# Install conda packages first
if self.env.conda_missing_packages:
self.install_conda_packages()
if self.env.missing_packages:
self.install_python_packages()
def install_python_packages(self):
""" Install required pip packages """
self.output.info("Installing Required Python Packages. This may take some time...")
for pkg in self.env.missing_packages:
if self.env.is_conda and not pkg.startswith("git"):
verbose = pkg.startswith("tensorflow") or self.env.updater
pkg = CONDA_MAPPING.get(pkg, (pkg, None))
channel = None if len(pkg) != 2 else pkg[1]
pkg = pkg[0]
if self.conda_installer(pkg, verbose=verbose, channel=channel, conda_only=False):
continue
self.pip_installer(pkg)
def install_conda_packages(self):
""" Install required conda packages """
self.output.info("Installing Required Conda Packages. This may take some time...")
for pkg in self.env.conda_missing_packages:
channel = None if len(pkg) != 2 else pkg[1]
self.conda_installer(pkg[0], channel=channel, conda_only=True)
def conda_installer(self, package, channel=None, verbose=False, conda_only=False):
""" Install a conda package """
success = True
condaexe = ["conda", "install", "-y"]
if not verbose or self.env.updater:
condaexe.append("-q")
if channel:
condaexe.extend(["-c", channel])
condaexe.append(package)
self.output.info("Installing {}".format(package))
shell = self.env.os_version[0] == "Windows"
try:
if verbose:
run(condaexe, check=True, shell=shell)
else:
with open(os.devnull, "w") as devnull:
run(condaexe, stdout=devnull, stderr=devnull, check=True, shell=shell)
except CalledProcessError:
if not conda_only:
self.output.info("{} not available in Conda. Installing with pip".format(package))
else:
self.output.warning("Couldn't install {} with Conda. "
"Please install this package manually".format(package))
success = False
return success
def pip_installer(self, package):
""" Install a pip package """
pipexe = [sys.executable, "-m", "pip"]
# hide info/warning and fix cache hang
pipexe.extend(["install", "--no-cache-dir"])
if not self.env.updater:
pipexe.append("-qq")
# install as user to solve perm restriction
if not self.env.is_admin and not self.env.is_virtualenv:
pipexe.append("--user")
msg = "Installing {}".format(package)
self.output.info(msg)
pipexe.append(package)
try:
run(pipexe, check=True)
except CalledProcessError:
self.output.warning("Couldn't install {} with pip. "
"Please install this package manually".format(package))
class Tips():
""" Display installation Tips """
def __init__(self):
self.output = Output()
def docker_no_cuda(self):
""" Output Tips for Docker without Cuda """
self.output.info(
"1. Install Docker\n"
"https://www.docker.com/community-edition\n\n"
"2. Build Docker Image For Faceswap\n"
"docker build -t deepfakes-cpu -f Dockerfile.cpu .\n\n"
"3. Mount faceswap volume and Run it\n"
"# without GUI\n"
"docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-cpu --name deepfakes-cpu \\ \n"
"\t-v {path}:/srv \\ \n"
"\tdeepfakes-cpu\n\n"
"# with gui. tools.py gui working.\n"
"## enable local access to X11 server\n"
"xhost +local:\n"
"## create container\n"
"nvidia-docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-cpu --name deepfakes-cpu \\ \n"
"\t-v {path}:/srv \\ \n"
"\t-v /tmp/.X11-unix:/tmp/.X11-unix \\ \n"
"\t-e DISPLAY=unix$DISPLAY \\ \n"
"\t-e AUDIO_GID=`getent group audio | cut -d: -f3` \\ \n"
"\t-e VIDEO_GID=`getent group video | cut -d: -f3` \\ \n"
"\t-e GID=`id -g` \\ \n"
"\t-e UID=`id -u` \\ \n"
"\tdeepfakes-cpu \n\n"
"4. Open a new terminal to run faceswap.py in /srv\n"
"docker exec -it deepfakes-cpu bash".format(
path=os.path.dirname(os.path.realpath(__file__))))
self.output.info("That's all you need to do with a docker. Have fun.")
def docker_cuda(self):
""" Output Tips for Docker wit Cuda"""
self.output.info(
"1. Install Docker\n"
"https://www.docker.com/community-edition\n\n"
"2. Install latest CUDA\n"
"CUDA: https://developer.nvidia.com/cuda-downloads\n\n"
"3. Install Nvidia-Docker & Restart Docker Service\n"
"https://github.com/NVIDIA/nvidia-docker\n\n"
"4. Build Docker Image For Faceswap\n"
"docker build -t deepfakes-gpu -f Dockerfile.gpu .\n\n"
"5. Mount faceswap volume and Run it\n"
"# without gui \n"
"docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-gpu --name deepfakes-gpu \\ \n"
"\t-v {path}:/srv \\ \n"
"\tdeepfakes-gpu\n\n"
"# with gui.\n"
"## enable local access to X11 server\n"
"xhost +local:\n"
"## enable nvidia device if working under bumblebee\n"
"echo ON > /proc/acpi/bbswitch\n"
"## create container\n"
"nvidia-docker run -tid -p 8888:8888 \\ \n"
"\t--hostname deepfakes-gpu --name deepfakes-gpu \\ \n"
"\t-v {path}:/srv \\ \n"
"\t-v /tmp/.X11-unix:/tmp/.X11-unix \\ \n"
"\t-e DISPLAY=unix$DISPLAY \\ \n"
"\t-e AUDIO_GID=`getent group audio | cut -d: -f3` \\ \n"
"\t-e VIDEO_GID=`getent group video | cut -d: -f3` \\ \n"
"\t-e GID=`id -g` \\ \n"
"\t-e UID=`id -u` \\ \n"
"\tdeepfakes-gpu\n\n"
"6. Open a new terminal to interact with the project\n"
"docker exec deepfakes-gpu python /srv/faceswap.py gui\n".format(
path=os.path.dirname(os.path.realpath(__file__))))
def macos(self):
""" Output Tips for macOS"""
self.output.info(
"setup.py does not directly support macOS. The following tips should help:\n\n"
"1. Install system dependencies:\n"
"XCode from the Apple Store\n"
"XQuartz: https://www.xquartz.org/\n\n"
"2a. It is recommended to use Anaconda for your Python Virtual Environment as this\n"
"will handle the installation of CUDA and cuDNN for you:\n"
"https://www.anaconda.com/distribution/\n\n"
"2b. If you do not want to use Anaconda you will need to manually install CUDA and "
"cuDNN:\n"
"CUDA: https://developer.nvidia.com/cuda-downloads"
"cuDNN: https://developer.nvidia.com/rdp/cudnn-download\n\n")
def pip(self):
""" Pip Tips """
self.output.info("1. Install PIP requirements\n"
"You may want to execute `chcp 65001` in cmd line\n"
"to fix Unicode issues on Windows when installing dependencies")
if __name__ == "__main__":
ENV = Environment()
Checks(ENV)
ENV.set_config()
if INSTALL_FAILED:
exit(1)
Install(ENV)