calculate error
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nohup python cvae_pyramid.py --name="lhunor_pyr_abl_32_64_e2e_r3" > nohup/review/pyr_abl_32_64_e2e_r3.out 2>&1 &
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nohup python cvae_pyramid.py --name="lhunor_pyr_abl_32_64_e2e_r3" > nohup/review/pyr_abl_32_64_e2e_r3.out 2>&1 &
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nohup python evaluate_ae_pyramid.py --name evaluate_pyr_abl_32_64_e2e_r3 > nohup/evaluate/pyr_abl_32_64_e2e_r3.out 2>&1 &
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nohup python evaluate_ae_pyramid.py --name evaluate_pyr_abl_32_64_e2e_r3 > nohup/evaluate/pyr_abl_32_64_e2e_r3.out 2>&1 &
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nohup python calculate_error.py --name error_pyr_abl_32_64_e2e_r3 > nohup/error/pyr_abl_32_64_e2e_r3.out 2>&1 &
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one final convolutional layer for smoothing, on the final coordinates
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one final convolutional layer for smoothing, on the final coordinates
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+3
-3
@@ -1,6 +1,6 @@
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import os
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import os
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import sys
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import sys
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from configs.config_abl_all_post import config
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from configs.config_abl_pyr_32 import config
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
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# import tensorflow as tf
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# import tensorflow as tf
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@@ -59,13 +59,13 @@ if __name__ == '__main__':
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folder = config['test_dir']
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folder = config['test_dir']
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checkpoint_name = config['name']
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checkpoint_name = config['name']
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iteration = ''
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iteration = '200000'
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F = np.load("custom_utils/smpl_faces" + skirt_modifier + ".npy").astype(np.int32)
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F = np.load("custom_utils/smpl_faces" + skirt_modifier + ".npy").astype(np.int32)
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garment_type_table = np.load('custom_data/garment_type_table_test.npy', allow_pickle=True).item()
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garment_type_table = np.load('custom_data/garment_type_table_test.npy', allow_pickle=True).item()
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output_folder = '/home/workspace/data/results/post/' + checkpoint_name + '-' + iteration
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output_folder = '/home/workspace/data/results/' + checkpoint_name + '-' + iteration
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faces_folder = '/home/workspace/data/results/support/faces' + ('_skirt' if config['is_skirt'] else '')
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faces_folder = '/home/workspace/data/results/support/faces' + ('_skirt' if config['is_skirt'] else '')
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