tsingjinyun

import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras.models import Model
from tensorflow.keras.callbacks import Callback, History, LearningRateScheduler
import tensorflow.keras.backend as K
from tensorflow.contrib.tpu.python.tpu import keras_support

from train1000 import cifar10
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity

tsingjinyun

HOW TO INSTALL pjreddie/DARKNET ON OSX

Install Opencv

• use brew

brew install opencv

• setup opencv.pc to pkgconfig, e.g :

philipsd6

# Install tmux on rhel/centos 7

# install deps
yum install gcc kernel-devel make ncurses-devel

# DOWNLOAD SOURCES FOR LIBEVENT AND MAKE AND INSTALL
curl -OL https://github.com/libevent/libevent/releases/download/release-2.0.22-stable/libevent-2.0.22-stable.tar.gz
tar -xvzf libevent-2.0.22-stable.tar.gz
cd libevent-2.0.22-stable
./configure --prefix=/usr/local

tsingjinyun

#include <cuda_runtime.h>

#include <cstring>
#include <cstdlib>
#include <vector>

#include <string>
#include <iostream>
#include <stdio.h>
#include "caffe/caffe.hpp"

tsingjinyun

OpenCV Video Writer on Mac OS X

Fourcc tests:

• x : not worked
• o: worked (able to open in quicktime but need conversion)
• oo: worked well (preview worked but wrong aspect ratio)
• ooo: worked very well (preview worked, and aspect ratio’s right)

(Codecs are extracted from https://web.archive.org/web/20120722124832/http://opencv.willowgarage.com/wiki/QuickTimeCodecs )

darcyliu

#!/bin/bash
# Install Spark on CentOS 7
yum install java -y
java -version

yum install wget -y
wget http://downloads.typesafe.com/scala/2.11.7/scala-2.11.7.tgz
tar xvf scala-2.11.7.tgz
sudo mv scala-2.11.7 /usr/lib
sudo ln -s /usr/lib/scala-2.11.7 /usr/lib/scala

iandees

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

1. Clone dlib from Github to your local machine:

jetsonhacks

#!/bin/sh
# Fresh install for CUDA 6.5 on Jetson TK1 for Linux for Tegra (L4T) 21.1
# CUDA 6.5 REQUIRES L4T 21.1 !!!
sudo apt-add-repository universe
sudo apt-get update
# This is for L4T r21.1 ; Update for your L4T i.e. r21.3
wget http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda-repo-l4t-r21.1-6-5-prod_6.5-14_armhf.deb

# Install the CUDA repo metadata that you downloaded 
# This is for L4T 21.1 ; Update for your L4T i.e. 21.3

isayme

[isayme]
text(bold)=eaeaea
magenta(bold)=ff00ff
text=ffffff
white(bold)=eaeaea
green=00c000
red(bold)=d20000
green(bold)=00ff00
black(bold)=808080
red=c00000

jbenet

/* 
author: jbenet
os x, compile with: gcc -o testo test.c 
linux, compile with: gcc -o testo test.c -lrt
*/

#include <time.h>
#include <sys/time.h>
#include <stdio.h>