Synthetic RPO

Generating and displaying synthetic images of a nearby space object

import json
import os

import matplotlib.pyplot as plt
import numpy as np
from PIL import Image

from mirage import synth as mrsyn

Generating the dataset with key point selection UI enabled

mrsyn.generate_synthetic_dataset(
    'matlib_goes17.obj',
    data_points=9,
    key_point_count=10,
    manual_key_point_selection=True,
    max_phase_deg=30,
)

Found 11 key points!
Computed visibility for point 1/9, 0.14ish minutes remaining
Computed visibility for point 2/9, 0.03ish minutes remaining
Computed visibility for point 3/9, 0.03ish minutes remaining
Computed visibility for point 4/9, 0.02ish minutes remaining
Computed visibility for point 5/9, 0.02ish minutes remaining
Computed visibility for point 6/9, 0.01ish minutes remaining
Computed visibility for point 7/9, 0.01ish minutes remaining
Computed visibility for point 8/9, 0.00ish minutes remaining
Computed visibility for point 9/9, 0.00ish minutes remaining

Loading the resulting data

with open(os.path.join('out', 'iminfo.json'), 'r') as f:
    iminfo = json.load(f)
    kp_pix = np.array(iminfo['key_points']['image_pixels'])

Plotting a grid of rendered images

fig, axs = plt.subplots(3, 3)
for fnum in range(9):
    plt.subplot(3, 3, fnum + 1)
    with Image.open(os.path.join('out', f'frame{fnum}.png'), 'r') as im:
        im_arr = np.array(im)
        plt.imshow(im_arr[:, :, 0], cmap='gray')
        plt.scatter(kp_pix[fnum, :, 0], kp_pix[fnum, :, 1], c='c', s=1)
        plt.axis('off')
fig.suptitle('Synthetic images of GOES-17 with Key Points', fontsize=12)
plt.tight_layout()
plt.show()