Unverified 提交 be9edffd authored 作者: Glenn Jocher's avatar Glenn Jocher 提交者: GitHub

Update test.py --task speed and study (#2099)

* Add --speed benchmark * test range 256 - 1536 * update * update * update * update
上级 a18efc3a
...@@ -320,16 +320,20 @@ if __name__ == '__main__': ...@@ -320,16 +320,20 @@ if __name__ == '__main__':
save_conf=opt.save_conf, save_conf=opt.save_conf,
) )
elif opt.task == 'speed': # speed benchmarks
for w in opt.weights:
test(opt.data, w, opt.batch_size, opt.img_size, 0.25, 0.45, save_json=False, plots=False)
elif opt.task == 'study': # run over a range of settings and save/plot elif opt.task == 'study': # run over a range of settings and save/plot
for weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt']: x = list(range(256, 1536 + 128, 128)) # x axis (image sizes)
f = 'study_%s_%s.txt' % (Path(opt.data).stem, Path(weights).stem) # filename to save to for w in opt.weights:
x = list(range(320, 800, 64)) # x axis f = f'study_{Path(opt.data).stem}_{Path(w).stem}.txt' # filename to save to
y = [] # y axis y = [] # y axis
for i in x: # img-size for i in x: # img-size
print('\nRunning %s point %s...' % (f, i)) print(f'\nRunning {f} point {i}...')
r, _, t = test(opt.data, weights, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json, r, _, t = test(opt.data, w, opt.batch_size, i, opt.conf_thres, opt.iou_thres, opt.save_json,
plots=False) plots=False)
y.append(r + t) # results and times y.append(r + t) # results and times
np.savetxt(f, y, fmt='%10.4g') # save np.savetxt(f, y, fmt='%10.4g') # save
os.system('zip -r study.zip study_*.txt') os.system('zip -r study.zip study_*.txt')
plot_study_txt(f, x) # plot plot_study_txt(x=x) # plot
...@@ -223,7 +223,7 @@ def plot_targets_txt(): # from utils.plots import *; plot_targets_txt() ...@@ -223,7 +223,7 @@ def plot_targets_txt(): # from utils.plots import *; plot_targets_txt()
plt.savefig('targets.jpg', dpi=200) plt.savefig('targets.jpg', dpi=200)
def plot_study_txt(path='study/', x=None): # from utils.plots import *; plot_study_txt() def plot_study_txt(path='', x=None): # from utils.plots import *; plot_study_txt()
# Plot study.txt generated by test.py # Plot study.txt generated by test.py
fig, ax = plt.subplots(2, 4, figsize=(10, 6), tight_layout=True) fig, ax = plt.subplots(2, 4, figsize=(10, 6), tight_layout=True)
ax = ax.ravel() ax = ax.ravel()
......
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