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from __future__ import absolute_import
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import sys, os
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sys.path.insert(
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0, os.path.dirname(os.path.abspath(__file__)) + '/..'
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)
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try:
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from eval_lib.cython_eval import eval_market1501_wrap
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except ImportError:
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print("Error: eval.pyx not compiled, please do 'make' before running 'python test.py'. exit")
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sys.exit()
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from eval_metrics import eval_market1501
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import numpy as np
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import time
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num_q = 100
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num_g = 1000
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distmat = np.random.rand(num_q, num_g) * 20
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q_pids = np.random.randint(0, num_q, size=num_q)
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g_pids = np.random.randint(0, num_g, size=num_g)
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q_camids = np.random.randint(0, 5, size=num_q)
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g_camids = np.random.randint(0, 5, size=num_g)
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end = time.time()
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cmc, mAP = eval_market1501_wrap(distmat,
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q_pids,
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g_pids,
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q_camids,
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g_camids, 10)
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elapsed_cython = time.time() - end
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print("=> Cython evaluation")
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print("consume time {:.5f} \n mAP is {} \n cmc is {}".format(elapsed_cython, mAP, cmc))
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end = time.time()
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cmc, mAP = eval_market1501(distmat,
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q_pids,
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g_pids,
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q_camids,
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g_camids, 10)
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elapsed_python = time.time() - end
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print("=> Python evaluation")
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print("consume time {:.5f} \n mAP is {} \n cmc is {}".format(elapsed_python, mAP, cmc))
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xtimes = elapsed_python / elapsed_cython
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print("=> Conclusion: cython is {:.2f}x faster than python".format(xtimes))
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