def __init__(self, threadID, name, input, output):
threading.Thread.__init__(self)
self.threadID = threadID
self.name = name
self.node = openRetina(model=dict(
layer=name, # label for this layer
input=input, # input: can be the camera, noise, a movie (TODO)
output=output, # output: can be stream, display, ...
T_SIM=120))
openRetina : a retina
See https://github.com/laurentperrinet/openRetina
"""
__author__ = "(c) Pierre Albiges, Victor Boutin & Laurent Perrinet INT - CNRS"
import io
import socket
import struct
import time
import threading
import picamera
import numpy as np
from openRetina import openRetina
ret = openRetina()
client_socket = socket.socket()
print('This client sends data to IP: ', ret.ip)
client_socket.connect((ret.ip, 8000))
connection = client_socket.makefile('wb')
try:
connection_lock = threading.Lock()
pool_lock = threading.Lock()
pool = []
class ImageStreamer(threading.Thread):
def __init__(self):
super(ImageStreamer, self).__init__()
self.stream = io.BytesIO()
self.event = threading.Event()
# -*- coding: utf8 -*-
from __future__ import division, print_function
"""
openRetina : a basic thalamic layer
See https://github.com/laurentperrinet/openRetina
"""
__author__ = "(c) Victor Boutin & Laurent Perrinet INT - CNRS"
import subprocess
p = subprocess.Popen(['./photoreceptors.py'])
from openRetina import openRetina
thalamus = openRetina(model=dict(layer='thalamus', # label for this layer
input=['stream'], # input: can be the camera, noise, a movie (TODO)
output=['display', 'capture'], # output: can be stream, display, capture,...
T_SIM=120))
thalamus.run()
#! /usr/bin/env python3
# -*- coding: utf8 -*-
from __future__ import division, print_function
"""
openRetina : a photoreceptor layer
See https://github.com/laurentperrinet/openRetina
"""
__author__ = "(c) Victor Boutin & Laurent Perrinet INT - CNRS"
from openRetina import openRetina
phrs = openRetina(model=dict(layer='phrs', # label for this layer
input=['noise'], # input: can be the camera, noise, a movie (TODO)
output=['stream'] # output: can be stream, display, ...
))
phrs.run()
openRetina : a retina
See https://github.com/laurentperrinet/openRetina
"""
__author__ = "(c) Victor Boutin & Laurent Perrinet INT - CNRS"
import io
import socket
import struct
import time
import threading
import picamera
import numpy as np
from openRetina import openRetina
ret = openRetina()
client_socket = socket.socket()
print('This client sends data to IP: ', ret.ip)
client_socket.connect((ret.ip, 8000))
connection = client_socket.makefile('wb')
try:
connection_lock = threading.Lock()
pool_lock = threading.Lock()
pool = []
class ImageStreamer(threading.Thread):
def __init__(self):
super(ImageStreamer, self).__init__()
self.stream = io.BytesIO()
self.event = threading.Event()
# Create new threads
thread1 = myThread(1, 'test_noise', input=['noise'], output=['stream'])
# thread2 = myThread(2, 'test_display', # label for this layer
# input=['stream'], # input: can be the camera, noise, a movie (TODO)
# output=['display'], # output: can be stream, display, capture,...
# )
# Start new Threads
thread1.start()
#thread2.start()
thalamus = openRetina(model=dict(
layer='test_display', # label for this layer
input=['stream'], # input: can be the camera, noise, a movie (TODO)
output=['display'], # output: can be stream, display, capture,...
T_SIM=120))
thalamus.run()
# thread1.join()
#thread2.join()
print("Exiting Main Thread")
#
# import multiprocessing
# phrs = openRetina(model=dict(layer='test_noise', # label for this layer
# input=['noise'], # input: can be the camera, noise, a movie (TODO)
# output=['stream'] # output: can be stream, display, ...
#! /usr/bin/env python3
# -*- coding: utf8 -*-
from __future__ import division, print_function
"""
openRetina : a photoreceptor layer
See https://github.com/laurentperrinet/openRetina
"""
__author__ = "(c) Pierre Albiges, Victor Boutin & Laurent Perrinet INT - CNRS"
from openRetina import openRetina
phrs = openRetina(model=dict(
layer='phrs', # label for this layer
input=['camera'], # input: can be the camera, noise, a movie (TODO)
output=['stream'] # output: can be stream, display, ...
))
phrs.run()
