jdmichaud

# Transmit a x264 compressed low latency feed using udp
server: gst-launch-1.0 videotestsrc is-live=true ! videoconvert ! x264enc speed-preset=ultrafast tune=zerolatency byte-stream=true threads=1 key-int-max=15 intra-refresh=true ! rtph264pay ! udpsink host=%d port=9002
client: gst-launch-1.0 udpsrc port=9002 caps='application/x-rtp' ! rtph264depay ! avdec_h264 ! videoconvert ! autovideosink sync=false async=false

notakaos

-- original code: https://github.com/ericelliott/cuid

-- Add the "plv8" extension
create extension if not exists "plv8";

-- Add the "pgcrypto" extension
create extension if not exists "pgcrypto";
\dx

-- Connect a database

Dref360

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

"""Not tested, I'll play around with GANs soon with it."""
from tensorflow.keras.layers import Conv2D
import numpy as np


class CoordConv2D(Layer):

sseveran

import six
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.training import training_util
from tensorflow.python.training.session_run_hook import SessionRunArgs


class RayTuneReportingHook(tf.train.SessionRunHook):
    def __init__(self, params, reporter):
        self.reporter = reporter

hlzz

#!/usr/bin/python

from PIL import Image
import math

test_image_list = '/home/tianwei/Data/sfm_data/test_image_list' # path to the image list
with open(test_image_list, 'r') as f:
    test_images = f.readlines()
    test_images = map(str.strip, test_images)

datlife

"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf   # only work from tensorflow==1.9.0-rc1 and after
 
_EPOCHS      = 5
_NUM_CLASSES = 10
_BATCH_SIZE  = 128

def training_pipeline():
  # #############
  # Load Dataset

peterroelants

"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim
from tensorflow.contrib.learn import ModeKeys
from tensorflow.contrib.learn import learn_runner


# Show debugging output

SheldonWangRJT

This notes is written by Sheldon. You can find me with #iOSBySheldon in Github, Youtube, Facebook, etc.

Need

Convert .mov/.MP4 to .gif

Reason

As a developer, I feel better to upload a short video when I create the pull request to show other viewers what I did in this PR. I tried .mov format directly got after finishing recording screen using Quicktime, however, gif offers preview in most web pages, and has smaller file size.

This is not limited to developer, anyone has this need can use this method to convert the files.

mjdietzx

"""
Clean and simple Keras implementation of network architectures described in:
    - (ResNet-50) [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385.pdf).
    - (ResNeXt-50 32x4d) [Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/pdf/1611.05431.pdf).
    
Python 3.
"""

from keras import layers
from keras import models

shareefhiasat

#!/usr/bin/env sh
#i tried it and working like charm just have to note make the file .sh chmod +x and you may need sudo to run with permission but be carefull with sudo
#be sure the $JAVA_HOME is configure correctly or make it static as commentedline 7 below
OLDDIR="$PWD"

if [ -z "$CACERTS_FILE" ]; then
# you should have java home configure to point for example /usr/lib/jvm/default-java/jre/lib/security/cacerts
    CACERTS_FILE=$JAVA_HOME/jre/lib/security/cacerts
fi