heshuting555 / pading Goto Github PK

你好，代码什么时候公开？

Hi,thank you for your brilliant work.May i ask how to reproduce the log here using the open source models ? Looking forward to your reply.

你好，在尝试编译项目的时候除了如标题的错误，具体如图所示：

我这边安装的环境如下：

Package                 Version
----------------------- ------------------
absl-py                 1.4.0
antlr4-python3-runtime  4.9.3
appdirs                 1.4.4
black                   21.4b2
cachetools              5.3.1
certifi                 2023.5.7
charset-normalizer      3.1.0
click                   8.1.3
cloudpickle             2.2.1
contourpy               1.1.0
cycler                  0.11.0
detectron2              0.6+cu111
fonttools               4.40.0
future                  0.18.3
fvcore                  0.1.5.post20221221
google-auth             2.21.0
google-auth-oauthlib    1.0.0
grpcio                  1.56.0
hydra-core              1.3.2
idna                    3.4
importlib-metadata      6.7.0
importlib-resources     5.12.0
iopath                  0.1.9
kiwisolver              1.4.4
Markdown                3.4.3
MarkupSafe              2.1.3
matplotlib              3.7.1
mypy-extensions         1.0.0
numpy                   1.25.0
oauthlib                3.2.2
omegaconf               2.3.0
packaging               23.1
pathspec                0.11.1
Pillow                  9.5.0
pip                     23.1.2
portalocker             2.7.0
protobuf                4.23.3
pyasn1                  0.5.0
pyasn1-modules          0.3.0
pycocotools             2.0.6
pydot                   1.4.2
pyparsing               3.1.0
python-dateutil         2.8.2
PyYAML                  6.0
regex                   2023.6.3
requests                2.31.0
requests-oauthlib       1.3.1
rsa                     4.9
setuptools              67.8.0
six                     1.16.0
tabulate                0.9.0
tensorboard             2.13.0
tensorboard-data-server 0.7.1
termcolor               2.3.0
toml                    0.10.2
torch                   1.9.0+cu111
torchaudio              0.9.0
torchvision             0.10.0+cu111
tqdm                    4.65.0
typing_extensions       4.6.3
urllib3                 1.26.16
Werkzeug                2.3.6
wheel                   0.38.4
yacs                    0.1.8
zipp                    3.15.0

请问这边能给点解决建议吗

您好，请问是否可以分享一下已经训练好的模型权重和预测文件呢，想看一下测试的效果

您好，我尝试使用了实例分割的模型参数并成功实现了推理的过程，并得到了各项性能指标，但我应该如何得到该模型下的分割图片呢。抱歉，我在该领域是个新手，希望您能帮忙答疑解惑，谢谢！

我在华为昇腾服务器（没有gpu,使用的是NPU）上配置环境中，因为没有cuda环境而无法运行make.sh文件，请问我该怎么修改采用继续呢？

Thank you for your excellent work first!
When I reproduced your project, I found some discrepancies between the results and those presented in the paper, I ensured the file structure described in ReadMe and tried running "CUDA_VISIBLE_DEVICES=0 python train_net.py --config-file configs/ panoptic-segmentation/PADing.yaml --num-gpus 1 MODEL.WEIGHTS pretrained_weight_panoptic.pth", and the program executed successfully. If I understand correctly, the following should be the result in Table 1:

[09/25 03:31:55] PADing.evaluation.panoptic_evaluation_gzero INFO: Panoptic Evaluation Results:

I'm not sure if there's some step I'm not doing right? I found at the beginning of the log
[09/24 15:46:05] fvcore.common.checkpoint WARNING: Some model parameters or buffers are not found in the checkpoint.
, and I'm not sure if it causes the results to be misaligned? Please feel free to let me know if there is anything I can provide. Thanks again for your work and for any help you can provide is appreciated.

I trained the model with the hyperparameters in PADing.yaml file but got a much worse result than the result reported in the paper.

I trained using pretrained_weight_panoptic.pth on the Panoptic data and get the result as follows:
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: Task: panoptic_seg
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: PQ,SQ,RQ,PQ_th,SQ_th,RQ_th,PQ_st,SQ_st,RQ_st,PQ_se,SQ_se,RQ_se,PQ_un,SQ_un,RQ_un
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: 34.0248,71.6245,40.5138,41.6926,77.9330,49.1312,22.4507,62.1021,27.5063,37.0349,74.3694,44.0742,8.4391,48.2921,10.2500
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: Task: bbox
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: 32.4348,47.4895,34.3758,14.6653,34.2537,49.9620
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: Task: segm
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75,APs,APm,APl
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: 30.9822,48.1893,32.5781,11.5876,33.2543,51.1710
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: Task: sem_seg
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: mIoU,fwIoU,mACC,pACC,unseen_IoU,seen_IoU,unseen_acc,seen_acc
[11/15 15:13:38] d2.evaluation.testing INFO: copypaste: 41.5571,36.6851,57.7758,51.8384,8.8335,45.4070,21.7921,62.0091

I suspect this might be due to the hyperparameter issues. Currently, there are several misalignments between the hyperparameters in PADing.yaml and the values stated in the paper. May I ask how to select the parameters?

Best