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Merge pull request #128 from robotpy/revert-126-RemoveAxisCamera
Revert "Remove Deprecated Axis Camera Example"
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#!/usr/bin/env python3 | ||
# | ||
# Copyright (c) FIRST and other WPILib contributors. | ||
# Open Source Software; you can modify and/or share it under the terms of | ||
# the WPILib BSD license file in the root directory of this project. | ||
# | ||
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import wpilib | ||
import wpilib.cameraserver | ||
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class MyRobot(wpilib.TimedRobot): | ||
def robotInit(self): | ||
# Your image processing code will be launched via a stub that will set up logging and initialize NetworkTables | ||
# to talk to your robot code. | ||
# https://robotpy.readthedocs.io/en/stable/vision/roborio.html#important-notes | ||
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wpilib.CameraServer.launch("vision.py:main") |
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# | ||
# Copyright (c) FIRST and other WPILib contributors. | ||
# Open Source Software; you can modify and/or share it under the terms of | ||
# the WPILib BSD license file in the root directory of this project. | ||
# | ||
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""" | ||
This is a demo program showing the use of OpenCV to do vision processing. The image is acquired | ||
from an HTTP camera, then a rectangle is put on the image and sent to the dashboard. OpenCV has | ||
many methods for different types of processing. | ||
""" | ||
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import ntcore | ||
import numpy | ||
import cscore | ||
from cscore import CameraServer | ||
import cv2 | ||
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# | ||
# This code will work both on a RoboRIO and on other platforms. The exact mechanism | ||
# to run it differs depending on whether you’re on a RoboRIO or a coprocessor | ||
# | ||
# https://robotpy.readthedocs.io/en/stable/vision/code.html | ||
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def main(): | ||
# Create an HTTP camera. The address will need to be modified to have the | ||
# correct team number. The exact path will depend on the source. | ||
camera = cscore.HttpCamera("HTTP Camera", "http://10.x.y.11/video/stream.mjpg") | ||
# Start capturing images | ||
CameraServer.startAutomaticCapture(camera) | ||
# Set the resolution | ||
camera.setResolution(640, 480) | ||
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# Get a CvSink. This will capture Mats from the camera | ||
cvSink = CameraServer.getVideo() | ||
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# Setup a CvSource. This will send images back to the Dashboard | ||
outputStream = CameraServer.putVideo("Rectangle", 640, 480) | ||
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# Mats are very memory expensive. Lets reuse this Mat. | ||
mat = numpy.zeros((480, 640, 3), dtype="uint8") | ||
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# Declare the color of the rectangle | ||
rectColor = (255, 255, 255) | ||
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# The camera code will be killed when the robot.py program exits. If you wish to perform cleanup, | ||
# you should register an atexit handler. The child process will NOT be launched when running the robot code in | ||
# simulation or unit testing mode | ||
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while True: | ||
# Tell the CvSink to grab a frame from the camera and put it in the source mat. If there is an error notify the | ||
# output. | ||
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if cvSink.grabFrame(mat) == 0: | ||
# Send the output the error. | ||
outputStream.notifyError(cvSink.getError()) | ||
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# skip the rest of the current iteration | ||
continue | ||
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# Put a rectangle on the image | ||
mat = cv2.rectangle( | ||
img=mat, | ||
pt1=(100, 100), | ||
pt2=(400, 400), | ||
color=rectColor, | ||
lineType=5, | ||
) | ||
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# Give the output stream a new image to display | ||
outputStream.putFrame(mat) |
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