87 lines
2.1 KiB
Python
87 lines
2.1 KiB
Python
from __future__ import division
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import numpy as np
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import cv2
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try:
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from naoqi import ALProxy
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except:
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ALProxy = None
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class NaoImageReader(object):
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RESOLUTIONS = {
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1: (240, 320),
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2: (480, 640),
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3: (960, 1280)
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}
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def __init__(self, ip, port=9559, res=1, fps=30, cam_id=0):
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ip = bytes(ip)
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self.res = self.RESOLUTIONS[res]
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self.cam_id=cam_id
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self.vd = ALProxy('ALVideoDevice', ip, port)
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self.sub = self.vd.subscribeCamera(
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"video_streamer", cam_id, res, 13, fps
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)
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def to_angles(self, x, y):
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return self.vd.getAngularPositionFromImagePosition(
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self.cam_id, [x, y]
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)
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def to_relative(self, x, y):
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return x / self.res[1], y / self.res[0]
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def get_frame(self):
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result = self.vd.getImageRemote(self.sub)
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self.vd.releaseImage(self.sub)
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if result == None:
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raise RuntimeError('cannot capture')
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elif result[6] == None:
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raise ValueError('no image data string')
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else:
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height, width = self.res
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return np.frombuffer(result[6], dtype=np.uint8).reshape(
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height, width, 3
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)
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def close(self):
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self.vd.unsubscribe(self.sub)
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class VideoReader(object):
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def __init__(self, filename=0, loop=False):
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self.cap = cv2.VideoCapture(filename)
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self.loop = loop if filename else False
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self.ctr = 0
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def get_frame(self):
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succ, frame = self.cap.read()
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if not succ:
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raise ValueError('Error while reading video.\n' +
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'Or video is over.')
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self.ctr += 1
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if (self.ctr == self.cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT) and
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self.loop):
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self.ctr = 0
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self.cap.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, 0)
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return frame
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def close(self):
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self.cap.release()
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class PictureReader(object):
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"Dummy class for maybe convenience."
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def __init__(self, filename):
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self.frame = cv2.imread(filename)
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def get_frame(self):
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return self.frame.copy()
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def close(self):
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pass
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