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@ -114,13 +114,13 @@ def main():
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_logger.info('Predict: [{0}/{1}] Time {batch_time.val:.3f} ({batch_time.avg:.3f})'.format(
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batch_idx, len(loader), batch_time=batch_time))
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topk_ids = np.concatenate(topk_ids, axis=0).squeeze()
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topk_ids = np.concatenate(topk_ids, axis=0)
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with open(os.path.join(args.output_dir, './topk_ids.csv'), 'w') as out_file:
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filenames = loader.dataset.filenames(basename=True)
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for filename, label in zip(filenames, topk_ids):
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out_file.write('{0},{1},{2},{3},{4},{5}\n'.format(
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filename, label[0], label[1], label[2], label[3], label[4]))
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out_file.write('{0},{1}\n'.format(
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filename, ','.join([ str(v) for v in label])))
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if __name__ == '__main__':
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