drcege

import tensorflow as tf
from tensorflow.keras.layers import Layer

class ROIPoolingLayer(Layer):
    """ Implements Region Of Interest Max Pooling 
        for channel-first images and relative bounding box coordinates
        
        # Constructor parameters
            pooled_height, pooled_width (int) -- 
              specify height and width of layer outputs

drcege

import tensorflow as tf
from tensorflow.keras.layers import Layer

class ROIPoolingLayer(Layer):
    """ Implements Region Of Interest Max Pooling 
        for channel-first images and relative bounding box coordinates
        
        # Constructor parameters
            pooled_height, pooled_width (int) -- 
              specify height and width of layer outputs

drcege

function drips(){
    docker ps -q | xargs -n 1 docker inspect --format '{{ .NetworkSettings.IPAddress }} {{ .Name }}' | sed 's/ \// /'
}

drcege

#!/bin/bash
fileid="FILEIDENTIFIER"
filename="FILENAME"
curl -c ./cookie -s -L "https://drive.google.com/uc?export=download&id=${fileid}" > /dev/null
curl -Lb ./cookie "https://drive.google.com/uc?export=download&confirm=`awk '/download/ {print $NF}' ./cookie`&id=${fileid}" -o ${filename}

drcege

# command: source
# Allow autocomplete for conda environments

_complete_source_activate_conda(){
      if [ ${COMP_WORDS[COMP_CWORD-1]} != "activate" ]
      then
          return 0
      fi
      local cur=${COMP_WORDS[COMP_CWORD]}
      COMPREPLY=($(ls ~/anaconda3/envs | xargs -I dirs bash -c "compgen -W dirs $cur"))

drcege

# https://github.com/matplotlib/matplotlib/issues/881
# Several of the ColorBrewer maps are "qualitative", meaning
# they are just a group of colors that can be used together 
# for categories of data.  So I remapped Accent to segments 
# instead of continuous:

# Actually, these should be used with ListedColormap, and 
# the number of colors should depend on the number of 
# categories in the data, with colors removed from the 
# list in a certain order?

drcege

# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
[ -z "$PS1" ] && return

# don't put duplicate lines in the history. See bash(1) for more options
# ... or force ignoredups and ignorespace
HISTCONTROL=ignoredups:ignorespace

drcege

import sys
sys.path.insert(0, 'python/')
import caffe
from caffe.proto import caffe_pb2

net_param = caffe_pb2.NetParameter()
net_str = open('lenet_iter_5000.caffemodel', 'r').read()
net_param.ParseFromString(net_str)

print net_param.layer[0].name  # first layer

drcege

All github Emoji (Smiles)

ali.md/emoji

| 😄 | 😆 | 😊 | 😃 | ☺️ | 😏 | 😍 | 😘 | :kissing_face: | 😳 | 😌 | 😆 | 😁 | 😉 | :wink2: | 👅 | 😒 | 😅 | 😓

😩 | 😔 | 😞 | 😖 | 😨 | 😰 | 😣 | 😢 | 😭 | 😂 | 😲 | 😱 | | 😫 | 😠 | 😡 | 😤 | 😪 | 😋 | 😷

😎 | 😵 | 👿 | 😈 | 😐 | 😶 | 😇 | 👽 | 💛 | 💙 | 💜 | ❤️ | 💚 | 💔 | 💓 | 💗 | 💕 | 💞 | 💘 | ✨

drcege

@Echo Off
 
Title SublimeText 右键菜单维护
Pushd %~dp0
 
If "%PROCESSOR_ARCHITECTURE%"=="AMD64" (Set a="HKLM\SOFTWARE\Wow6432Node\SublimeText\sublimetext_backwnd" /v&Set b=%SystemRoot%\SysWOW64) Else (Set a="HKLM\SOFTWARE\SublimeText\sublimetext_backwnd" /v&Set b=%SystemRoot%\system32)
Rd "%b%\test_permission" >nul 2>nul
Md "%b%\test_permission" 2>nul||(Echo 请使用右键管理员身份运行&&Pause >nul&&Exit)
Rd "%b%\test_permission" >nul 2>nul