robot-perception-group / airpose Goto Github PK

Hello, authors.
Thanks for your greate work and sharing.

I try to test the twoview copenet on synthetic dataset,
but i got a error as follow:

I think this error happened because I got code from official smplx
As you mentioned, you modified the official smplx code

Can you give some advice or post the modified smplx code to this repo?

Thank you,
yuning

Hi! I'm trying to run the evaluation on the synthetic data part.

cd AirPose/copenet_real
python src/copenet_real/scripts/hmr_synth_res_compile.py "model type" "precalculated results directory Path" "/path to the dataset" "your_path/AirPose/copenet/src/copenet/data/smplx/models/smplx"

I downloaded all the correct pre-trained models and datasets.
But I get some errors in the rendering part when I run the above code because of hardcoded absolute paths
(https://github.com/robot-perception-group/AirPose/blob/main/copenet_real/src/copenet_real/scripts/hmr_synth_res_compile.py#L118-L119)

I think you used some other preprocessed dataset to render the results. How can we preprocess data to render it with your rendering module?

My goal is to render the results of my trained single-view model with real data. Therefore, I'm trying to do the above task!

Thanks!

Thanks for your great works!
I have a little questions, i just learn a little about ROS, can your project realize the visualization of smpl model in Rviz?

Hi!

Could you tell me, what is the configuration of the bounding box values in the synthetic dataset?

I'm trying to plot the bounding box of your dataset.
But the range of bounding box values is above the image size.
How can I interpret this??

Let's say I loaded the 'rp_yumiko_posed_001_0.pkl' dataset in the db variable.
I'm trying to plot the bounding box in the image "/copenet_synthetic/data/rp_yumiko_posed_001/MyCamera0_0.png"

Then I need to plot the bounding box with db['bb0'] values.
But the values are bb0:<class 'list'>, data: [array([485, 258]), array([614, 436])] which is above the image size.

I saw some processing about the bounding box in the getitem() function aerialpeople.py. But I want to get the real bounding box value for the original image, not for a cropped image or something.