我在试着用暗流训练小yolo。然而,当我运行代码时,我收到了这个错误:
Enter training ...
cfg/tiny-yolo-voc-2c.cfg parsing images/annotation
Parsing for ['thumbs_down', 'thumbs_up']
[====================>]100% 001296.xml
Statistics:
thumbs_down: 2078
thumbs_up: 1681
Dataset size: 2470
Dataset of 2470 instance(s)
This image's width or height are zeros: 002149.png
train_instance: ['002149.png', [0, 0, [['thumbs_up', 112, 15, 204, 143]]]]
Please remove or fix it then try again.
Traceback (most recent call last):
File "/anaconda3/bin/flow", line 6, in <module>
cliHandler(sys.argv)
File "/anaconda3/lib/python3.6/site-packages/darkflow/cli.py", line 33, in cliHandler
print('Enter training ...'); tfnet.train()
File "/anaconda3/lib/python3.6/site-packages/darkflow/net/flow.py", line 39, in train
for i, (x_batch, datum) in enumerate(batches):
File "/anaconda3/lib/python3.6/site-packages/darkflow/net/yolo/data.py", line 114, in shuffle
inp, new_feed = self._batch(train_instance)
File "/anaconda3/lib/python3.6/site-packages/darkflow/net/yolov2/data.py", line 35, in _batch
cx = centerx / cellx
ZeroDivisionError: float division by zero如果我删除图像,它会找到另一个大小为0,0的图像,即使所有图像的大小都是正常的。如果我不删除它,它会告诉我一个不同的大小为0,0的图像。意思是它是随机通过的?我删除了几张图片,但我不确定这是否会永远持续下去,或者是否只有一定数量的图片的“大小为0,0”。
这是我在darkflow-master目录中使用的命令:
flow --model cfg/tiny-yolo-voc-2c.cfg --labels images/annotation/classes.txt --train --trainer adam --load bin/tiny-yolo-voc.weights --annotation images/annotation --dataset images/images --gpu 1.0 --epoch 1000发布于 2018-12-18 21:40:57
请参见上述错误消息的第12行:
['002149.png',[0,0,[‘拇指向上’,112,15,204,143]
此列表来自注释文件。第二和第三个值是图像宽度和图像高度。你可以看到它们都是零。因此,我建议您检查注释文件是否正确。
附注:
的绝对宽度和高度
https://stackoverflow.com/questions/53580151
复制相似问题