Yu Sun
Yu Sun
simple-romp的video模式可以
https://github.com/Arthur151/ROMP/tree/master/simple_romp 输入图片/视频,输出3D人体关键点/网格及空间位置信息。 详情建议看一下论文,写的很简洁明了。
写个python脚本来执行。类似于这样: ``` import os import glob for video_path in glob.glob('/path/to/videos/*'): save_path = video_path.replace('.mp4','_results.mp4') os.system('romp --mode=video --calc_smpl --render_mesh --input={} --save_path={} --save_video'.format(video_path, save_path)) ```
Hi, Zhengdi Yu, long time no see. 1. About the depth ordering during rendering, maybe this is more clear: https://github.com/Arthur151/ROMP/blob/e4613fd564cd632ac531228b94f949eaed76345e/simple_romp/vis_human/main.py#L40 2. Yes, I think BEV is more stable in depth....
Yes, due to the usage of sim3dr, I think that directly convert cam to trans3d is of enough accuracy for sim3dr rendering usage. Therefore, I use it directly. But BEV...
是的,可以参考[这个介绍](https://github.com/Arthur151/ROMP/blob/master/docs/train.md)里的Training with your own datasets
这个暂时不太行。 如果想要输出自定义的关节的旋转角,我知道的可能的方案: 1)需要制作一个类似于SMPL的统计形状模型。 2)将SMPL的姿态retargeting到具有这26个关节角的三维人体模型上。
The pipeline of driving the model in Unreal Engine is supposed to be similar to that of Blender. I am not familiar with the interface of Unreal Engine to achieve...
Thanks for the bug report. Please replace it as romp.train like this https://github.com/Arthur151/ROMP/blob/master/scripts/train_distributed.sh
Oh, the command you use is different from what is on my rep. Besides, please make sure that you run the code under ROMP folder. ``` CUDA_VISIBLE_DEVICES=${GPUS} nohup python -u...