Meng-Xue, Lin

Hi, I met the same question. Maybe you can try to use the evaluation code provided by freihand: > freihand/eval.py, https://github.com/lmb-freiburg/freihand/blob/master/eval.py And the evaluation groud-truth is also released: > https://github.com/lmb-freiburg/freihand#evaluate-on-the-dataset,...

Please refer to #29

感謝!! 我嘗試後再將結果分享上來 非常感謝

Hi Xingyu, 我重建了 ResNet-50-Stack，但成果不盡理想，我使用 FreiHAND 官方 github 提供的 [evaluation code](https://github.com/lmb-freiburg/freihand/issues/29#issuecomment-1207810579) 與 [evaluation split annotations](https://github.com/lmb-freiburg/freihand#evaluate-on-the-dataset) 跑出來的分數是: | |xyz_al_mean3d( PJ )|mesh_al_mean3d( PV )|單位| |----|----------------------|------------------------|-----| |my-resnet50|0.644521|0.670844|cm| |my-mrc_ds|0.685215|0.709544|cm| |paper - pretrained backbone|5.7|5.8|mm| |paper -...

> 你好，my_resnet.py能提供一下吗？或者是resnetstack.pth 啊! 其實 Bottleneck 跟 `resnetstack.py` 裡面的 Bottleneck 都一樣是從官方 Pytorch Resnet 搬過來的 code 忘了當初為什麼要從 `my_resnet.py` 那邊 import。 所以可以直接改從 `resnetstack.py` import 就好了。

非常感謝!!! 我再嘗試看看

In fact, I don't really write a pred.py myself. I use codes (model) edited from https://github.com/SeanChenxy/HandMesh, with mobrecon model. here is the snippet to dump result: https://github.com/clashroyaleisgood/HandMesh/blob/8fbd3a89fa655e095fedcf2c29baec01a9e54666/mobrecon/runner.py#L349-L358

I'm not sure, but maybe it's in the offcial eval zip file: FreiHAND_pub_v2_eval.zip file: evaluation_mano.json ___ updated: oh! I just find it: https://github.com/lmb-freiburg/freihand/blob/5ea4ab9763fea0eec988a52bfa563333cb16523f/view_samples.py#L28 maybe you can try this.

NONONO! FreiHAND have already released their evaluation annotations on official dataset website: https://lmb.informatik.uni-freiburg.de/resources/datasets/FreihandDataset.en.html#:~:text=Download%20FreiHAND%20Dataset%20v2%20%2D%20Evaluation%20set%20with%20annotations%20(724MB) the zip file contains _mano, _verts, _xyz, ... for evaluation set

Sorry for not getting the point. Do you mean, how to predict xyz from a single RGB image? Or how to combine your prediction algorithm with the code snippet you...