tensorflow-yolov3
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Quick start - python covert.py
['yolov3/yolo-v3/Conv_6/weights', TensorShape([Dimension(1), Dimension(1), Dimension(1024), Dimension(255)])]
['conv_lbbox/weight', TensorShape([Dimension(1), Dimension(1), Dimension(1024), Dimension(75)])]
Traceback (most recent call last):
File "convert_weight.py", line 74, in
same here
I have the same issue after using my own data set.
python convert_weight.py --train_from_coco
Thanks @YunYang1994.
I have the same issue after using my own data set.
Have you solved this problem ?
cur_weights_num != org_weights_num
anybody soveled this issue?
python convert_weight.py --train_from_coco
我用了这个方法还是不管用,我自己的数据是40个分类,报错位置:两个列表长度由1049!=366 变成288!=360依旧报错
python convert_weight.py --train_from_coco
我用了这个方法还是不管用,我自己的数据是40个分类,报错位置:两个列表长度由1049!=366 变成288!=360依旧报错
我和你一样