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How to use get_num_cpu method in autotest

Best Python code snippet using autotest_python

main.py

Source:main.py

1from os.path import join23import numpy as np4from PIL import Image5import matplotlib.pyplot as plt67import util8import visual_words9import visual_recog10import custom11from opts import get_opts121314def main():15    opts = get_opts()1617    # Q1.118    # img_path = join(opts.data_dir, 'kitchen/sun_aasmevtpkslccptd.jpg')19    # #img_path = join(opts.data_dir, 'aquarium/sun_aztvjgubyrgvirup.jpg')20    # img = Image.open(img_path)21    # img = np.array(img).astype(np.float32)/25522    # filter_responses = visual_words.extract_filter_responses(opts, img)23    # util.display_filter_responses(opts, filter_responses)2425    # Q1.226    # n_cpu = util.get_num_CPU()27    # visual_words.compute_dictionary(opts, n_worker=n_cpu)28    29    # Q1.330    # img_path = join(opts.data_dir, 'kitchen/sun_aasmevtpkslccptd.jpg')31    # img_path = join(opts.data_dir, 'windmill/sun_agudhwulyxcizdjv.jpg')32    # img_path = join(opts.data_dir, 'park/labelme_evuftvyfpanmmab.jpg')33    # img = Image.open(img_path)34    # img = np.array(img)35    # dictionary = np.load(join(opts.out_dir, 'dictionary.npy'))36    # wordmap = visual_words.get_visual_words(opts, img, dictionary)37    # util.visualize_wordmap(wordmap)3839    # Q2.1-2.440    # n_cpu = util.get_num_CPU()41    # visual_recog.build_recognition_system(opts, n_worker=n_cpu)4243    # Q2.544    # n_cpu = util.get_num_CPU()45    # conf, accuracy = visual_recog.evaluate_recognition_system(opts, n_worker=n_cpu)46    # print(conf)47    # print(accuracy)48    # np.savetxt(join(opts.out_dir, 'confmat.csv'), conf, fmt='%d', delimiter=',')49    # np.savetxt(join(opts.out_dir, 'accuracy.txt'), [accuracy], fmt='%g')50    51    # Use for 3.1 (run and evaluate whole system)52    n_cpu = util.get_num_CPU()53    # visual_words.compute_dictionary(opts, n_worker=n_cpu)54    # visual_recog.build_recognition_system(opts, n_worker=n_cpu)55    conf, accuracy = visual_recog.evaluate_recognition_system(opts, n_worker=n_cpu)    56    print(conf)57    print(accuracy)58    np.savetxt(join(opts.out_dir, 'confmat.csv'), conf, fmt='%d', delimiter=',')59    np.savetxt(join(opts.out_dir, 'accuracy.txt'), [accuracy], fmt='%g')60    61    # Q3.2 (Extra Credit)62    n_cpu = util.get_num_CPU()63    conf, accuracy = custom.evaluate_recognition_system(opts, n_worker=n_cpu)64    print(conf)65    print(accuracy)66    np.savetxt(join(opts.out_dir, 'confmat_cust.csv'), conf, fmt='%d', delimiter=',')67    np.savetxt(join(opts.out_dir, 'accuracy_cust.txt'), [accuracy], fmt='%g')686970if __name__ == '__main__':
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