truemped

#
# "THE BEER-WARE LICENSE":
# <truemped at goggle.com> wrote this file. As long as you retain this notice you
# can do whatever you want with this stuff. If we meet some day, and you think
# this stuff is worth it, you can buy me a beer in return Daniel Truemper
#

import time

import zmq

hasnainv

#How to load the model
def build_model(img_width=224, img_height=224):
  from keras.models import Sequential
  from keras.layers import Convolution2D, ZeroPadding2D, MaxPooling2D, Activation
  
  model = Sequential()
  model = Sequential()
  model.add(ZeroPadding2D((1,1),input_shape=(3,img_width,img_height)))
  model.add(Convolution2D(64, 3, 3, activation='relu', name='conv1_1'))
  model.add(Activation('relu'))

minrk

import zmq
from zmq.eventloop import zmqstream, ioloop
import threading

import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()

# run ioloop in separate thread
def threaded_loop():

ideasman42

/* Originally from: http://stackoverflow.com/a/27663998/432509
 *
 * With following modifications: 
 * - Use a pointer to the tail (remove 2x conditional checks, reduces code-size).
 * - Avoid re-assigning empty values the size doesn't change.
 * - Corrected comments.
 */

static void *listbase_sort_impl(struct Link *head, int (*cmp)(const void *, const void *))
{

edz-o

def DepthConversion(PointDepth, f):
    H = PointDepth.shape[0]
    W = PointDepth.shape[1]
    i_c = np.float(H) / 2 - 1
    j_c = np.float(W) / 2 - 1
    columns, rows = np.meshgrid(np.linspace(0, W-1, num=W), np.linspace(0, H-1, num=H))
    DistanceFromCenter = ((rows - i_c)**2 + (columns - j_c)**2)**(0.5)
    PlaneDepth = PointDepth / (1 + (DistanceFromCenter / f)**2)**(0.5)
    return PlaneDepth

joel-wright

#!/bin/sh
path=/sys/class/backlight/intel_backlight

luminance() {
    read -r level < "$path"/actual_brightness
    factor=$((max / 100))
    ret=`printf '%d\n' "$((level / factor))"`
    if [ $ret -gt 100 ]; then
       ret=100
    fi

wassname

import numpy as np
from matplotlib import pyplot as plt

class LivePlotNotebook(object):
    """
    Live plot using %matplotlib notebook in jupyter notebook
    
    Usage:
    ```
    import time

muety

# Inspired by https://keon.io/deep-q-learning/

import random
import gym
import math
import numpy as np
from collections import deque
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam

soumith

conda uninstall --force pillow -y

# install libjpeg-turbo to $HOME/turbojpeg
git clone https://github.com/libjpeg-turbo/libjpeg-turbo
pushd libjpeg-turbo
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX:PATH=$HOME/turbojpeg
make
make install

cwillmor

// ell clock https://twitter.com/cwillmore/status/1353435612636803073
// developed with processing 3.5.4 (processing.org)
// TODO:
// - motion blur
// - ripple update of ells - one only starts rotating when it has room to (<< ... <> ... >>)

static final int DEPTH = 3;
static final int N = 1 << (DEPTH + 1);
static final int FRAME_RATE = 30;
static final float DT = 1 / (float)FRAME_RATE;