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import os |
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import json |
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import cv2 |
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import numpy as np |
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import cairosvg |
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from plot_utils import plot_preds, svg_generate |
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image_base = '../../data/outdoor/cities_dataset/rgb/' |
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svg_base = './svg_results' |
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if not os.path.exists(svg_base): |
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os.makedirs(svg_base) |
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data_filename = '../data/outdoor/cities_dataset/valid_list.txt' |
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with open(data_filename) as f: |
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filenames = f.readlines() |
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filenames = filenames[50:] |
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filenames = [filename.strip() for filename in filenames] |
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idx_to_filename = {idx: filename for idx, filename in enumerate(filenames)} |
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method_name = 'heat' |
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results_base = '../results/npy_outdoor_test_256/' |
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svg_method_base = os.path.join(svg_base, method_name) |
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if not os.path.exists(svg_method_base): |
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os.makedirs(svg_method_base) |
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for result_filename in sorted(os.listdir(results_base)): |
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file_idx = int(result_filename[:-12]) |
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filename = idx_to_filename[file_idx] |
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image_path = os.path.join(image_base, filename + '.jpg') |
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results_path = os.path.join(results_base, result_filename) |
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results = np.load(results_path, allow_pickle=True).tolist() |
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corners = results['corners'].astype(np.int) |
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edge_ids = results['edges'] |
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edges = corners[edge_ids].reshape(edge_ids.shape[0], -1) |
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svg = svg_generate(image_path, corners, edges, name='temp', size=256) |
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svg_path = os.path.join(svg_base, 'tmp.svg') |
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svg.saveas(svg_path) |
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svg_img_path = os.path.join(svg_method_base, '{}.png'.format(filename)) |
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cairosvg.svg2png(url=svg_path, write_to=svg_img_path) |
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