Bienqq
/
car-detection-bayes
2
1
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updates

This commit is contained in:
Glenn Jocher 2019-12-24 13:57:12 -08:00
parent d595f0847d
commit 8319011489
1 changed files with 15 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

19
test.py
View File

@ -219,8 +219,8 @@ if __name__ == '__main__':
opt.save_json = opt.save_json or any([x in opt.data for x in ['coco.data', 'coco2014.data', 'coco2017.data']]) opt.save_json = opt.save_json or any([x in opt.data for x in ['coco.data', 'coco2014.data', 'coco2017.data']])
print(opt) print(opt)
study = False task = 'test' # 'test', 'study', 'benchmark'
if not study: if task == 'test':
# Test # Test
test(opt.cfg, test(opt.cfg,
opt.data, opt.data,
@ -230,7 +230,18 @@ if __name__ == '__main__':
opt.conf_thres, opt.conf_thres,
opt.nms_thres, opt.nms_thres,
opt.save_json) opt.save_json)
else:
elif task == 'benchmark':
# mAPs at 320-608 at conf 0.5 and 0.7
y = []
for i in [320, 416, 512, 608]:
for j in [0.5, 0.7]:
t = time.time()
r = test(opt.cfg, opt.data, opt.weights, opt.batch_size, i, opt.conf_thres, j, opt.save_json)[0]
y.append(r + (time.time() - t,))
np.savetxt('benchmark.txt', y, fmt='%10.4g') # y = np.loadtxt('study.txt')
elif task == 'study':
# Parameter study # Parameter study
y = [] y = []
x = np.arange(0.4, 0.9, 0.05) x = np.arange(0.4, 0.9, 0.05)
@ -238,11 +249,11 @@ if __name__ == '__main__':
t = time.time() t = time.time()
r = test(opt.cfg, opt.data, opt.weights, opt.batch_size, opt.img_size, opt.conf_thres, v, opt.save_json)[0] r = test(opt.cfg, opt.data, opt.weights, opt.batch_size, opt.img_size, opt.conf_thres, v, opt.save_json)[0]
y.append(r + (time.time() - t,)) y.append(r + (time.time() - t,))
y = np.stack(y, 0)
np.savetxt('study.txt', y, fmt='%10.4g') # y = np.loadtxt('study.txt') np.savetxt('study.txt', y, fmt='%10.4g') # y = np.loadtxt('study.txt')
# Plot # Plot
fig, ax = plt.subplots(3, 1, figsize=(6, 6)) fig, ax = plt.subplots(3, 1, figsize=(6, 6))
y = np.stack(y, 0)
ax[0].plot(x, y[:, 2], marker='.', label='mAP@0.5') ax[0].plot(x, y[:, 2], marker='.', label='mAP@0.5')
ax[0].set_ylabel('mAP') ax[0].set_ylabel('mAP')
ax[1].plot(x, y[:, 3], marker='.', label='mAP@0.5:0.95') ax[1].plot(x, y[:, 3], marker='.', label='mAP@0.5:0.95')