Problem about input_size for customized dataset about 3dmppe_rootnet_release

[mks0601]

Is the input image contain a single person? This algorithm requires a single person input. And I guess 1024 and 2048 is too large and the errors are about CPU/GPU memory explosion.

[KamiCalcium]

Is the input image contain a single person? This algorithm requires a single person input. And I guess 1024 and 2048 is too large and the errors are about CPU/GPU memory explosion.

Hey thanks for the quick response!~

I don't understand why the algorithm requires a single-person input. In your demo (people skiing), there are also multiple people, right?

About the CPU/GPU memory explosion, I'm using 4 RTX 8000. If that's still not sufficient enough, is there a way to properly train and test the image with (2048,1024)? Should I scale the input image or what will you suggest?

Thanks a lot!

[mks0601]

It crops and processes each human separately.
Please read this line

[KamiCalcium]

It crops and processes each human separately.
Please read this line

Okay, this I understand. But what about this?

3DMPPE_ROOTNET_RELEASE/main/config.py

Line 34 in a199d50

input_shape = (256, 256)

What is this input_size then? Isn't it the whole image size? Or the maximum size for each bbox?

[mks0601]

Please read the instructions carefully. here.
It also crops and processes each human separately.

[KamiCalcium]

Please read the instructions carefully. here.
It also crops and processes each human separately.

I read it again but I only see this description about the input_size for config.py.

In the main/config.py, you can change settings of the model including dataset to use, network backbone, and input size and so on.

My understanding is this is the whole image size right? Since human36M' size is (256,256), which is the same as the default one in config.py. Then if my picture input_size is (2048,1024), should I change it to (2048,1024)?

[mks0601]

The instruction of Quick demo says Set bbox_list at here.

[KamiCalcium]

The instruction of Quick demo says Set bbox_list at here.

OK, this is pretty clear to me and I already set the individual bbox in the bbox_list.

But in

3DMPPE_ROOTNET_RELEASE/demo/demo.py

Line 97 in a199d50

vis_root[0] = root_3d[0] / cfg.output_shape[1] * cfg.input_shape[1]

demo.py references config.py and uses its input_shape to derive the vis_root array. I want to know what input_shape does here. Is this the whole image size?

[mks0601]

No. The code crops and resizes each person to input_img_shape.