Thomas Sanchez Lengeling ThomasLengeling

With you get something like:

dyld: Library not loaded: @rpath/ffmpeg/lib/osx/libavutil.55.dylib Referenced from: /Users/studio/Work/Repositories/Cannula/HAPTest/bin/HAPTest.app/Contents/MacOS/HAPTest Reason: image not found

On Xcode > Build Settings > Other Linker Flags > Debug AND Release (not using AppStore), change:

@loader_path/../../../OFReleases/OF0101/addons/ofxHapPlayer/libs

A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️

Name	Stars	Last Commit	Description
three.js	![GitHub

	import mercantile, mapbox_vector_tile, requests, json, os
	from vt2geojson.tools import vt_bytes_to_geojson

	# define an empty geojson as output
	output= { "type": "FeatureCollection", "features": [] }

	# vector tile endpoints -- change this in the API request to reference the correct endpoint
	tile_coverage = 'mly1_public'

	# tile layer depends which vector tile endpoints:

	import mercantile, mapbox_vector_tile, requests, json
	from vt2geojson.tools import vt_bytes_to_geojson

	# define an empty geojson as output
	output= { "type": "FeatureCollection", "features": [] }

	# vector tile endpoints -- change this in the API request to reference the correct endpoint
	tile_coverage = 'mly1_public'

	# tile layer depends which vector tile endpoints:

	# to be used in conjunction with the functions defined here:
	# https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb

	# party parrot transformation
	noise_seed_A = 3 # right facing
	noise_seed_B = 31 # left facing

	num_interps = 14
	truncation = 0.2
	category = 14

	import os, argparse
	import tensorflow as tf
	from tensorflow.python.framework import graph_util

	dir = os.path.dirname(os.path.realpath(__file__))


	def freeze_graph(model_folder):
	# We retrieve our checkpoint fullpath
	checkpoint = tf.train.get_checkpoint_state(model_folder)

	ofTexture texture = cam.getTexture();
	ofPixels pixels;
	texture.readToPixels(pixels);
	ofImage img;
	img.setFromPixels(pixels);

	# This is shorthened version of blog post
	# http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

	# update packages
	sudo apt-get update
	sudo apt-get upgrade

	#Add the ppa repo for NVIDIA graphics driver
	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt-get update

	import numpy as np
	from keras.models import Sequential
	from keras.layers import Dense, Dropout, Activation, Flatten
	from keras.layers import Convolution2D, MaxPooling2D
	from keras.optimizers import SGD
	from keras.regularizers import l2, activity_l2
	from keras.utils import np_utils
	from sklearn import metrics

	# to run this code, you'll need to load the following data: