| class AddCoords(nn.Module): | |
| def __init__(self, with_r=False): | |
| super().__init__() | |
| self.with_r = with_r | |
| def forward(self, input_tensor): | |
| """ | |
| Args: | |
| input_tensor: shape(batch, channel, x_dim, y_dim) |
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
| import types | |
| import torch | |
| from torch.autograd import Variable | |
| import torchvision.models as models | |
| import torchvision.transforms as transforms | |
| from torchvision.datasets.folder import pil_loader | |
| #!/usr/bin/env python | |
| import os | |
| import sys | |
| import time | |
| import requests | |
| remote_server = '{user}@{ip}' | |
| port = 9487 | |
| proxies = { | |
| 'http': 'socks5://localhost:%d' % port, |
| import tensorflow as tf | |
| def read_image(filename_queue): | |
| reader = tf.WholeFileReader() | |
| key, value = reader.read(filename_queue) | |
| img = tf.image.decode_jpeg(value) | |
| img.set_shape((256, 512, 3)) |
| export JAVA_HOME="$(ls -d C:/Program\ Files/Java/jdk* | sort | tail -n 1)" | |
| export BAZEL_SH=c:/tools/msys64/usr/bin/bash.exe | |
| export PATH=/c/ProgramData/Chocolatey/lib/bazel:"/c/Program Files/Git/cmd":$PATH | |
| export BAZEL_VS="C:/Program Files (x86)/Microsoft Visual Studio 14.0" | |
| export BAZEL_PYTHON="C:/Python27/python.exe" |
| import hashlib | |
| import os | |
| import subprocess | |
| import xml.etree.ElementTree | |
| import click | |
| user_xml_fmt = ''' | |
| <User Name="ddd_{username}"> | |
| <Option Name="Pass">{md5_pwd}</Option> |
| import time | |
| import datetime | |
| from dcard import Dcard | |
| def hack_forums_get_meta_function(dcard): | |
| target_date = datetime.datetime.utcnow() - datetime.timedelta(days=1) |
| optns = statset('MaxIter', iters); | |
| pixels = reshape(img(:), [], 3); | |
| [idxs, centroids] = kmeans(pixels, k, 'options', optns); | |
| img_map = centroids(idxs, :); | |
| img_new = reshape(img_map(:), size(img)); | |
| imshow(img_new); |