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Update test.py --task speed and study (#2099)
* Add --speed benchmark * test range 256 - 1536 * update * update * update * update
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test.py
16
test.py
@ -320,16 +320,20 @@ if __name__ == '__main__':
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save_conf=opt.save_conf,
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save_conf=opt.save_conf,
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)
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)
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elif opt.task == 'speed': # speed benchmarks
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for w in opt.weights:
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test(opt.data, w, opt.batch_size, opt.img_size, 0.25, 0.45, save_json=False, plots=False)
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elif opt.task == 'study': # run over a range of settings and save/plot
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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']:
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x = list(range(256, 1536 + 128, 128)) # x axis (image sizes)
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f = 'study_%s_%s.txt' % (Path(opt.data).stem, Path(weights).stem) # filename to save to
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for w in opt.weights:
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x = list(range(320, 800, 64)) # x axis
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f = f'study_{Path(opt.data).stem}_{Path(w).stem}.txt' # filename to save to
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y = [] # y axis
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y = [] # y axis
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for i in x: # img-size
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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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print(f'\nRunning {f} point {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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r, _, t = test(opt.data, w, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json,
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plots=False)
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plots=False)
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y.append(r + t) # results and times
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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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np.savetxt(f, y, fmt='%10.4g') # save
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os.system('zip -r study.zip study_*.txt')
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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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plot_study_txt(x=x) # plot
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@ -223,7 +223,7 @@ def plot_targets_txt(): # from utils.plots import *; plot_targets_txt()
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plt.savefig('targets.jpg', dpi=200)
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plt.savefig('targets.jpg', dpi=200)
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def plot_study_txt(path='study/', x=None): # from utils.plots import *; plot_study_txt()
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def plot_study_txt(path='', x=None): # from utils.plots import *; plot_study_txt()
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# Plot study.txt generated by test.py
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# Plot study.txt generated by test.py
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fig, ax = plt.subplots(2, 4, figsize=(10, 6), tight_layout=True)
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fig, ax = plt.subplots(2, 4, figsize=(10, 6), tight_layout=True)
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ax = ax.ravel()
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ax = ax.ravel()
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