mirror of https://github.com/JDAI-CV/fast-reid.git
fix visualization problem #233
parent
07872d4cdb
commit
8d4bd77ae3
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@ -123,7 +123,7 @@ class AsyncPredictor:
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for gpuid in range(max(num_gpus, 1)):
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cfg = cfg.clone()
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cfg.defrost()
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cfg.MODEL.DEVICE = "cuda: {}".format(gpuid) if num_gpus > 0 else "cpu"
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cfg.MODEL.DEVICE = "cuda:{}".format(gpuid) if num_gpus > 0 else "cpu"
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self.procs.append(
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AsyncPredictor._PredictWorker(cfg, self.task_queue, self.result_queue)
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)
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@ -120,7 +120,7 @@ if __name__ == '__main__':
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distmat = distmat.numpy()
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logger.info("Computing APs for all query images ...")
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cmc, all_ap, all_inp = evaluate_rank(distmat, q_pids, g_pids, q_camids, g_camids)
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cmc, all_ap, all_inp = evaluate_rank(distmat, q_feat, g_feat, q_pids, g_pids, q_camids, g_camids)
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visualizer = Visualizer(test_loader.dataset)
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visualizer.get_model_output(all_ap, distmat, q_pids, g_pids, q_camids, g_camids)
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