RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 86 and 8 in dimension 1 at /pytorch/aten/src/THC/generic/THCTensorMath.cu:71

[Andrew05200]

[Holmeyoung]

Hi, i meet the same error, have you solved it? Thanks.

[xiran2018]

Hi, i meet the same error, have you solved it? Thanks.

i meet the same error too, have you solved it? Thanks.

[errollxj]

At line 147 of util. py, insert

if image_pred_.shape[0] == 0: output=0 continue

[Naveennavik]

At line 147 of util. py, insert

if image_pred_.shape[0] == 0: output=0 continue

@errollxj it will work ah?

[Naveennavik]

At line 147 of util. py, insert

if image_pred_.shape[0] == 0: output=0 continue

@errollxj is this working because we dont use that util.py in training code sir?

[Samuel-wei]

At line 147 of util. py, insert

if image_pred_.shape[0] == 0: output=0 continue

I got help, my code have woked. thank you

[hahahao-lh]

after insert if image_pred_.shape[0] == 0: output=0 continue

have anybody meet and solved?

[bingxindu]

have anybody meet and solved?

same to you,

[Ontheroad123]

At line 147 of util. py, insert

if image_pred_.shape[0] == 0: output=0 continue

solved, the result : Loading network..... Network successfully loaded person.jpg predicted in 0.104 seconds Objects Detected: person dog horse

giraffe.jpg predicted in 0.152 seconds Objects Detected: zebra giraffe giraffe

img1.jpg predicted in 0.110 seconds Objects Detected: person dog

dog.jpg predicted in 0.098 seconds Objects Detected: bicycle truck dog

messi.jpg predicted in 0.158 seconds Objects Detected: person person person sports ball

img4.jpg predicted in 0.093 seconds Objects Detected: chair chair chair clock

eagle.jpg predicted in 0.069 seconds Objects Detected: bird

img3.jpg predicted in 0.241 seconds Objects Detected: car car car car car car car truck traffic light

herd_of_horses.jpg predicted in 0.087 seconds Objects Detected: horse horse horse horse

img2.jpg predicted in 0.068 seconds Objects Detected: train

SUMMARY

Task : Time Taken (in seconds)

Reading addresses : 0.000 Loading batch : 0.228 Detection (11 images) : 2.113 Output Processing : 0.000 Drawing Boxes : 0.454 Average time_per_img : 0.254