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session_worker.py
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session_worker.py
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import tensorflow as tf
import threading
import Queue
import time
class SessionWorker():
# from https://github.com/naisy/realtime_object_detection/blob/master/lib/session_worker.py
def __init__(self,tag,graph,config):
self.lock = threading.Lock()
self.sess_queue = Queue.Queue()
self.result_queue = Queue.Queue()
self.tag = tag
t = threading.Thread(target=self.execution,args=(graph,config))
t.setDaemon(True)
t.start()
return
def execution(self,graph,config):
self.is_thread_running = True
try:
with tf.Session(graph=graph,config=config) as sess:
while self.is_thread_running:
while not self.sess_queue.empty():
q = self.sess_queue.get(block=False)
opts = q["opts"]
feeds= q["feeds"]
extras= q["extras"]
if feeds is None:
results = sess.run(opts)
else:
results = sess.run(opts,feed_dict=feeds)
self.result_queue.put({"results":results,"extras":extras})
self.sess_queue.task_done()
time.sleep(0.005)
except:
import traceback
traceback.print_exc()
self.stop()
return
def is_sess_empty(self):
if self.sess_queue.empty():
return True
else:
return False
def put_sess_queue(self,opts,feeds=None,extras=None):
self.sess_queue.put({"opts":opts,"feeds":feeds,"extras":extras})
return
def is_result_empty(self):
if self.result_queue.empty():
return True
else:
return False
def get_result_queue(self):
result = None
if not self.result_queue.empty():
result = self.result_queue.get(block=False)
self.result_queue.task_done()
return result
def stop(self):
self.is_thread_running=False
with self.lock:
while not self.sess_queue.empty():
q = self.sess_queue.get(block=False)
self.sess_queue.task_done()
return