当我从CLI运行脚本时,没有输出重定向,一切正常
这就是myscript.py
的样子:
# Load darknet
sys.path.insert(0, '/var/AI/darknet/')
import darknet
darknet.performDetect(initOnly=True)
print('Beginning API query loop')
while True:
# Business logic
通过使用py myscript.py
运行脚本,这是我在控制台中得到的尾部输出:
[yolo] params: iou loss: giou (1), iou_norm: 0.50, cls_norm: 1.00, scale_x_y: 1.00
Total BFLOPS 139.496
avg_outputs = 1103769
Try to load weights: /var/AI/darknet/weights/yolov3-papersheet_600.weights
Loading weights from /var/AI/darknet/weights/yolov3-papersheet_600.weights...
seen 64, trained: 76 K-images (1 Kilo-batches_64)
Done! Loaded 107 layers from weights-file
Loaded - names_list: /var/AI/darknet/data/papersheet.names, classes = 1
Initialized detector
Beginning API query loop
因此,这个工作正常,但如果我使用输出重定向运行此脚本:
nohup python3 myscript.py > /var/log/python/myscript.log 2>&1 & echo $!
它在脚本的darknet.performDetect(initOnly=True)
行停止,并有以下尾部输出:
[yolo] params: iou loss: giou (1), iou_norm: 0.50, cls_norm: 1.00, scale_x_y: 1.00
95 route 91 -> 38 x 38 x 256
96 conv 128 1 x 1/ 1 38 x 38 x 256 -> 38 x 38 x 128 0.095 BF
97 upsample 2x 38 x 38 x 128 -> 76 x 76 x 128
98 route 97 36 -> 76 x 76 x 384
99 conv 128 1 x 1/ 1 76 x 76 x 384 -> 76 x 76 x 128 0.568 BF
100 conv 256 3 x 3/ 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BF
101 conv 128 1 x 1/ 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BF
102 conv 256 3 x 3/ 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BF
103 conv 128 1 x 1/ 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BF
104 conv 256 3 x 3/ 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BF
105 conv 18 1 x 1/ 1 76 x 76 x 256 -> 76 x 76 x 18 0.053 BF
106 yolo
[yolo] params: iou loss: giou (1), iou_norm: 0.50, cls_norm: 1.00, scale_x_y: 1.00
Total BFLOPS 139.496
avg_outputs = 1103769
Loading weights from /var/AI/darknet/weights/yolov3-papersheet_600.weights... Try to load cfg: /var/AI/darknet/cfg/yolov3-papersheet.cfg, weights: /var/AI/darknet/weights/yolov3-papersheet_600.weights, clear = 0
mini_batch = 1, batch = 1, time_steps = 1, train = 0
Try to load weights: /var/AI/darknet/weights/yolov3-papersheet_600.weights
Done! Loaded 107 layers from weights-file
任何输出重定向都会出现此问题,例如:
py script.py > log.py
我正在使用下面的fork of the darknet library,如果你想检查的话,我也在那里打开了一个issue。虽然我认为这可能不是图书馆的问题
有什么想法吗
该问题是由输出缓冲引起的
我通过使用
-u
选项调用python解决了这个问题:nohup python3 -u myscript.py
See this question
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