fixed threading in camera class and code cleanup

This commit is contained in:
ori
2019-08-15 15:21:51 -07:00
parent ff7a9b8155
commit 81cee9cf2b
6 changed files with 55 additions and 58 deletions

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@@ -5,7 +5,6 @@ import logging
from app.ChameleonVisionApp import ChameleonApplication
from app.classes.SettingsManager import SettingsManager
from tornado.options import options
from app.handlers.VisionHandler import VisionHandler
import threading
import asyncio
from app.handlers.SocketHandler import send_all_async

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@@ -1,7 +1,6 @@
import tornado.web
import tornado.websocket
import os
from .handlers.MainHandler import MainHandler
from .handlers.SocketHandler import ChameleonWebSocket
from tornado.options import define

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@@ -1,4 +1,3 @@
import socket
import os
import json
import cv2

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@@ -16,6 +16,7 @@ from .VisionHandler import VisionHandler
class CameraHandler:
def __init__(self, cam_name, port):
#settings vars up for vision loop
self.cs = CameraServer.getInstance()
self.settings_manager = SettingsManager()
self.vision_handler = VisionHandler()
@@ -28,27 +29,24 @@ class CameraHandler:
self.time_stamp = 0
def run(self):
#starting main thread
threading.Thread(target=self.thread_proc).start()
def thread_proc(self):
cam_name = self.cam_name
port = self.port
asyncio.set_event_loop(asyncio.new_event_loop())
self.settings_manager.cams_curr_pipeline[cam_name] = "pipeline0"
pipeline = self.settings_manager.cams[cam_name]["pipelines"][self.settings_manager.cams_curr_pipeline[cam_name]]
FOV = self.settings_manager.cams[cam_name]["FOV"]
self.settings_manager.cams_curr_pipeline[self.cam_name] = "pipeline0"
pipeline = self.settings_manager.cams[self.cam_name]["pipelines"][self.settings_manager.cams_curr_pipeline[self.cam_name]]
FOV = self.settings_manager.cams[self.cam_name]["FOV"]
def change_camera_values(pipline):
self.settings_manager.usb_cameras[cam_name].setBrightness(pipeline['brightness'])
self.settings_manager.usb_cameras[cam_name].setExposureManual(pipeline['exposure'])
self.settings_manager.usb_cameras[cam_name].setWhiteBalanceAuto()
self.settings_manager.usb_cameras[self.cam_name].setBrightness(pipeline['brightness'])
self.settings_manager.usb_cameras[self.cam_name].setExposureManual(pipeline['exposure'])
self.settings_manager.usb_cameras[self.cam_name].setWhiteBalanceAuto()
def pipeline_listener(table, key, value, is_new):
asyncio.set_event_loop(asyncio.new_event_loop())
self.settings_manager.cams_curr_pipeline[cam_name] = value
self.settings_manager.cams_curr_pipeline[self.cam_name] = value
change_camera_values(pipeline)
if cam_name == self.settings_manager.general_settings['curr_camera']:
if self.cam_name == self.settings_manager.general_settings['curr_camera']:
self.settings_manager.general_settings['curr_pipeline'] = value
update_settings = self.settings_manager.get_curr_pipeline()
update_settings['curr_pipeline'] = self.settings_manager.general_settings["curr_pipeline"]
@@ -59,45 +57,43 @@ class CameraHandler:
'brightness': 25,
'exposure': 15
})
self.table = NetworkTables.getTable("/Chameleon-Vision/" + cam_name)
self.table.putString('Pipeline', self.settings_manager.cams_curr_pipeline[cam_name])
#setting up network table
self.table = NetworkTables.getTable("/Chameleon-Vision/" + self.cam_name)
self.table.putString('Pipeline', self.settings_manager.cams_curr_pipeline[self.cam_name])
self.table.addEntryListenerEx(pipeline_listener, key="Pipeline",
flags=networktables.NetworkTablesInstance.NotifyFlags.UPDATE)
self.table.addEntryListenerEx(mode_listener, key="Driver_Mode",
flags=networktables.NetworkTablesInstance.NotifyFlags.UPDATE)
# gettings video from curent camera
cv_sink = self.cs.getVideo(camera=self.settings_manager.usb_cameras[cam_name])
width = self.settings_manager.cams[cam_name]["video_mode"]["width"]
height = self.settings_manager.cams[cam_name]["video_mode"]["height"]
# getting video from current camera
cv_sink = self.cs.getVideo(camera=self.settings_manager.usb_cameras[self.cam_name])
width = self.settings_manager.cams[self.cam_name]["video_mode"]["width"]
height = self.settings_manager.cams[self.cam_name]["video_mode"]["height"]
# setting up a video server for camera
cv_publish = self.cs.putVideo(name=cam_name, width=width, height=height)
cv_publish = self.cs.putVideo(name=self.cam_name, width=width, height=height)
# saving camera port in cam name dict for usage in client
self.settings_manager.cams_port[cam_name] = self.cs._sinks['serve_' + cam_name].getPort()
self.settings_manager.cams_port[self.cam_name] = self.cs._sinks['serve_' + self.cam_name].getPort()
# setting up a zmq connection to the opencv subprocess
context = zmq.Context()
socket = context.socket(zmq.PAIR)
socket.bind('tcp://*:%s' % str(port))
socket.bind('tcp://*:%s' % str(self.port))
# starting the process with inital values
p = Process(target=self.camera_process, args=(cam_name, port, FOV))
# starting the process with initial values
p = Process(target=self.camera_process, args=(self.cam_name, self.port, FOV))
p.start()
change_camera_values(pipeline)
def _image_thread():
def _publish_thread():
#getting image values and publishing process image and data
self.image = numpy.zeros(shape=(width, height, 3), dtype=numpy.uint8)
self.p_image = self.image
while True:
self.time_stamp, self.image = cv_sink.grabFrame(self.image)
def _publish_thread():
# asyncio.set_event_loop(asyncio.new_event_loop())
while True:
try:
self.time_stamp, self.image = cv_sink.grabFrame(self.image)
cv_publish.putFrame(self.p_image)
self.table.putBoolean('valid', self.nt_data['valid'])
# check if point is valid
@@ -111,12 +107,31 @@ class CameraHandler:
except:
pass
threading.Thread(target=_image_thread).start()
def _socket_thread():
#publishing to websocket at slower interval
asyncio.set_event_loop(asyncio.new_event_loop())
while True:
time.sleep(0.05)
if self.settings_manager.general_settings['curr_camera'] == self.cam_name:
try:
send_all_async({
'raw_point': self.nt_data['raw_point'],
'point': {
'pitch': self.nt_data['pitch'],
'yaw': self.nt_data['yaw'],
'fps': self.nt_data['fps']
}
})
except:
pass
threading.Thread(target=_publish_thread).start()
threading.Thread(target=_socket_thread).start()
while True:
pipeline = self.settings_manager.cams[cam_name]["pipelines"][
self.settings_manager.cams_curr_pipeline[cam_name]]
#sending and reciving data from opencv sub process
pipeline = self.settings_manager.cams[self.cam_name]["pipelines"][
self.settings_manager.cams_curr_pipeline[self.cam_name]]
socket.send_json(dict(
pipeline=pipeline
), zmq.SNDMORE)
@@ -124,23 +139,11 @@ class CameraHandler:
socket.send_pyobj(self.image)
self.p_image = socket.recv_pyobj()
self.nt_data = socket.recv_json()
# if self.settings_manager.general_settings['curr_camera'] == self.cam_name:
# try:
# send_all_async({
# 'raw_point': self.nt_data['raw_point'],
# 'point': {
# 'pitch': self.nt_data['pitch'],
# 'yaw': self.nt_data['yaw'],
# 'fps': self.nt_data['fps']
# }
# })
# except:
# pass
def camera_process(self, cam_name, port, FOV):
from fractions import Fraction
diagonalView = math.radians(FOV) # needs to be implemented in client
#calc fov
diagonalView = math.radians(FOV)
width = self.settings_manager.cams[cam_name]["video_mode"]["width"]
height = self.settings_manager.cams[cam_name]["video_mode"]["height"]
@@ -157,15 +160,18 @@ class CameraHandler:
H_FOCAL_LENGTH = width / (2 * math.tan((horizontalView / 2)))
V_FOCAL_LENGTH = height / (2 * math.tan((verticalView / 2)))
#setting up zmq socket
context = zmq.Context()
socket = context.socket(zmq.PAIR)
socket.connect('tcp://localhost:%s' % str(port))
#setting up filter countours class
filter_contours = self.vision_handler.Filter_Contours(center_x=centerX, center_y=centerY)
x = 1
counter = 0
start_time = time.time()
fps = 0
while True:
obj = socket.recv_json()
image = socket.recv_pyobj()
@@ -217,6 +223,3 @@ class CameraHandler:
fps = (counter / (time.time() - start_time))
counter = 0
start_time = time.time()

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@@ -1,5 +1,3 @@
from datetime import timedelta
import tornado.websocket
import json
from ..classes.Exceptions import NoCameraConnectedException

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@@ -1,11 +1,10 @@
import cv2
import numpy
from ..classes.Singleton import Singleton
import math
from enum import Enum, unique
class VisionHandler(metaclass=Singleton):
class VisionHandler():
def __init__(self):
self.kernel = numpy.ones((5, 5), numpy.uint8)