Unable to execute run_tasks

[cptay]

Hi,

I ran into this problem

TypeError: The param "transform" of Nest module "fetch_data" should be type of "Union[Callable, NoneType]". Got
image_transform(
[✓] image_size: Union[int, List[int]],
augmentation: dict,
[✓] mean: List[float] = [0.485, 0.456, 0.406],
[✓] std: List[float] = [0.229, 0.224, 0.225]) -> Callable
Please check if some important params of Nest module "image_transform" have been forgotten in use.

Anyone of you know how to solve this? Or alternativelty anyone of you has the training code without Nest?

Thanks

[Yby-Bob]

@cptay I had the same problem with python 3.7, and after switching back to python 3.6.6, the code now works perfectly for me.

[cptay]

@Yby-Bob Oh, I will try that out, thanks!

[cptay]

@Yby-Bob It works, thanks!

[ylin0022]

@Yby-Bob Hi, I also met this error and switched back to 3.6.6 and succeeded in executing run_tasks, while I got another error of scipy in the last part of code:

instance_list = model(input_var, retrieval_cfg=dict(proposals=proposals, param=(0.95, 1e-5, 0.8)))

The error shows a conflict in scipy version but I tried several:
`~\AppData\Local\conda\conda\envs\py36\lib\site-packages\scipy\misc\pilutil.py in toimage(arr, high, low, cmin, cmax, pal, mode, channel_axis)
324 ((3 in shape) or (4 in shape)))
325 if not valid:
--> 326 raise ValueError("'arr' does not have a suitable array shape for "
327 "any mode.")
328 if len(shape) == 2:

ValueError: 'arr' does not have a suitable array shape for any mode.`

Have you ever met this error?
And please give me your scipy version for myreference, Thanks!

[ylin0022]

@Yby-Bob
Solved it, it comes from the wrong dimension when processing numpy array of image, not the scipy version.
Sorry to bother you.