run with error about yolo_v3_tutorial_from_scratch HOT 8 OPEN

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

from yolo_v3_tutorial_from_scratch.

@ayooshkathuria can you please update the blog and close this issue? The code base and tutorial both have grid_size = inp_dim//stride which leads to the error mentioned in this issue.

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

I konw why. Thx

Hi @ghostPath , I got the different result as well.
Would you mind to share your insight ?

我觉得是因为权重是随机初始化的？

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

but the result I got is different with the blog

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

I konw why. Thx

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

I konw why. Thx

Hi @ghostPath , I got the different result as well.
Would you mind to share your insight ?

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

I konw why. Thx

Hi @ghostPath , I got the different result as well.
Would you mind to share your insight ?

我觉得是因为权重是随机初始化的？

Thank you @ghostPath .
I think you're right.
I just found related paragraph:

At this point, our network has random weights, and will not produce the correct output. We need to load a weight file in our network. We'll be making use of the official weight file for this purpose.

from yolo_v3_tutorial_from_scratch.

I have encountered the same problem as you,after changed the third line "grid_size = inp_dim // stride" to "grid_size = prediction.size(2)" in function predict_transform,the problem fixed.

but the result I got is different with the blog

It's just random weights. It's expected to be random and different

from yolo_v3_tutorial_from_scratch.