yolov7tiny转换到trt后无法正常运行 about tensorrt-for-yolo-series HOT 6 CLOSED

报错日志：
G:\Anaconda3\python.exe \tensorrt-python\trt.py
G:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py:43: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
result = getattr(asarray(obj), method)(*args, **kwds)
Traceback (most recent call last):
File "\tensorrt-python\trt.py", line 22, in
origin_img = pred.inference(img_path, conf=0.3)
File "\tensorrt-python\utils\utils.py", line 99, in inference
predictions = np.reshape(data, (1, -1, int(5+self.n_classes)))[0]
File "<array_function internals>", line 180, in reshape
File "G:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 298, in reshape
return _wrapfunc(a, 'reshape', newshape, order=order)
File "G:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 54, in _wrapfunc
return _wrapit(obj, method, *args, **kwds)
File "G:\Anaconda3\lib\site-packages\numpy\core\fromnumeric.py", line 43, in _wrapit
result = getattr(asarray(obj), method)(*args, **kwds)
ValueError: cannot reshape array of size 4 into shape (1,newaxis,7)

进程已结束,退出代码1

from tensorrt-for-yolo-series.

我看见了这一行提示。我记得我在运行时将两个end2end的default值都设置为了false，或许是我记错了

from tensorrt-for-yolo-series.

我看见了这一行提示。我记得我在运行时将两个end2end的default值都设置为了false，或许是我记错了

是最新的代码吗？ 还有问题吗？

是否修改类别数了呢？

from tensorrt-for-yolo-series.

已经拉取了最新的代码，num_cls是2，都检查过了，现在没有问题啦，非常非常感谢(〃'▽'〃)

from tensorrt-for-yolo-series.

已经拉取了最新的代码，num_cls是2，都检查过了，现在没有问题啦，非常非常感谢(〃'▽'〃)

好的，没有问题就好， 在线求start

from tensorrt-for-yolo-series.

ok，星星+1

from tensorrt-for-yolo-series.