mirror of https://github.com/m-labs/artiq
64 lines
1.6 KiB
Python
Executable File
64 lines
1.6 KiB
Python
Executable File
#!/usr/bin/env python3
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import numpy as np
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from numba import jit
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import logging
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from sipyco.remote_exec import simple_rexec_server_loop
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@jit(nopython=True)
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def compute_picture(r, img_w, img_h,
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gaussian_w, gaussian_h,
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gaussian_cx, gaussian_cy,
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noise_level):
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for y in range(img_h):
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for x in range(img_w):
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ds = ((gaussian_cx-x)/gaussian_w)**2
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ds += ((gaussian_cy-y)/gaussian_h)**2
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r[x, y] = np.exp(-ds/2) + noise_level*np.random.random()
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class CameraSimulation:
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def __init__(self):
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self.img_w = 320
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self.img_h = 200
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self.gaussian_w = 4
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self.gaussian_h = 3
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self.gaussian_cx = self.img_w//2
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self.gaussian_cy = self.img_h//2
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self.noise_level = 0.1
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def set_gaussian_width(self, wx, wy=None):
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if wy is None:
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wy = wx
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self.gaussian_w = wx
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self.gaussian_h = wy
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def set_gaussian_center(self, x, y):
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self.gaussian_cx = x
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self.gaussian_cy = y
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def set_noise_level(self, noise_level):
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self.noise_level = noise_level
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def get_picture(self):
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r = np.empty((self.img_w, self.img_h))
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compute_picture(r, self.img_w, self.img_h,
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self.gaussian_w, self.gaussian_h,
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self.gaussian_cx, self.gaussian_cy,
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self.noise_level)
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return r
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def ping(self):
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return True
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def main():
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logging.basicConfig(level=logging.INFO)
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simple_rexec_server_loop("camera_sim", CameraSimulation(),
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"::1", 6283)
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if __name__ == "__main__":
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main()
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