study changes
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test.py
9
test.py
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@ -234,7 +234,7 @@ if __name__ == '__main__':
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parser = argparse.ArgumentParser(prog='test.py')
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parser.add_argument('--weights', type=str, default='weights/yolov5s.pt', help='model.pt path')
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parser.add_argument('--data', type=str, default='data/coco.yaml', help='*.data path')
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parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
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parser.add_argument('--batch-size', type=int, default=32, help='size of each image batch')
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parser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')
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parser.add_argument('--conf-thres', type=float, default=0.001, help='object confidence threshold')
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parser.add_argument('--iou-thres', type=float, default=0.65, help='IOU threshold for NMS')
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@ -262,13 +262,14 @@ if __name__ == '__main__':
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opt.augment)
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elif opt.task == 'study': # run over a range of settings and save/plot
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for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt', 'yolov3-spp.pt']:
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for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']:
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f = 'study_%s_%s.txt' % (Path(opt.data).stem, Path(weights).stem) # filename to save to
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x = list(range(256, 1024, 64)) # x axis
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x = list(range(288, 896, 64)) # x axis
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y = [] # y axis
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for i in x: # img-size
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print('\nRunning %s point %s...' % (f, i))
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r, _, t = test(opt.data, weights, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json)
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y.append(r + t) # results and times
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np.savetxt(f, y, fmt='%10.4g') # save
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plot_study_txt(f, x) # plot
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os.system('zip -r study.zip study_*.txt')
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# plot_study_txt(f, x) # plot
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