symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Tag an image based on detected visual content which mean running a CNN on top of it.
# https://pixlab.io/#/cmd?id=tagimg for more info.

symisc

import requests
import json

# Generates a description of an image in human readable language with complete sentences. 
# The description is based on the visual content as reported by our state-of-the-art image labeling algorithm. 
# More than one description can be generated for each image. Descriptions are ordered by their confidence score. 
# https://pixlab.io/cmd?id=tagimg for the official documentation.

# Target Image: Change to any link or switch to POST if you want to upload your image directly, refer to the sample set for more info.
img = 'https://s-media-cache-ak0.pinimg.com/originals/35/d0/f6/35d0f6ee0e40306c41cfd714c625f78e.jpg' 

symisc

import requests
import json

# Generate GIF file from a set of static image - https://pixlab.io/cmd?id=makegif

req = requests.post(
  'https://api.pixlab.io/makegif',
  headers={
    'Content-Type':'application/json'
  },data=json.dumps({

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Generate GIF from a set of static image - https://pixlab.io/cmd?id=makegif

$key = 'PIXLAB_API_KEY'; # # Your PixLab API Key. Get yours from https://pixlab.io/dashboard

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Detect all human faces & extract their landmark regions via facelandmarks & make a small Snapchat filter effect.
# Only three commands are actually needed in order to mimic the Snapchat filters effects:
# face landmarks:         https://pixlab.io/cmd?id=facelandmarks

symisc

import requests
import json

# Find a person's face in a crowd or group of people. https://pixlab.io/cmd?id=facelookup for additional information.

# This is the target face we are looking for.
face = 'http://static-secure.guim.co.uk/sys-images/Guardian/Pix/pictures/2012/7/9/1341860104423/obama_face.jpg'
# The people crowd to look on
crowd = 'http://www.acclaimimages.com/_gallery/_free_images/0519-0908-1001-0556_president_barack_obama_walking_with_a_crowd_of_people_o.jpg'

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Find a person's face in a crowd or group of people. https://pixlab.io/cmd?id=facelookup for additional information.

# This is the target face that we are searching for in the people crowd.

symisc

<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php 
 */
require_once "pixlab.php";

# Upload a local image to the remote https://pixlab.xyz storage server or your own S3 bucket depending on the configuration on the PixLab dashboard.
# Use the output link for other purposes such as processing via mogrify, drawrectangles, etc. or simply serving content.
# https://pixlab.io/cmd?id=store for more info.

symisc

import requests
import json

# Upload a local image to the remote https://pixlab.xyz storage server or your own S3 bucket depending on the configuration from your dashboard.
# Use the output link for other purposes such as processing via mogrify, drawrectangles, etc. or simply serving content.
# https://pixlab.io/#/cmd?id=store for more info.

req = requests.post('http://api.pixlab.io/store', # Switch to http:// for fast upload
	files = {'file': open('./local_image.png', 'rb')},
	data={

symisc

import requests
import json

# Detect all human faces present in a given image and try to guess their age, gender and emotion state via their facial shapes

# Target image: Feel free to change to whatever image holding as many human faces as you want
img = 'http://www.scienceforums.com/uploads/1282315190/gallery_1625_35_9165.jpg'

req = requests.get('http://api.pixlab.io/facemotion',params={
	'img': img,