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machanic / AU_R-CNN

The official implementation code of paper: "AU R-CNN：Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection".
https://arxiv.org/abs/1812.05788
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pickled data error #20

Closed Mahdidrm closed 3 years ago

Mahdidrm commented 3 years ago

Hi @machanic
I really like this code and hope to have its Pytorch version. Actually, I couldn't run it yet! I changed the addresses in config.py but I have errors on the needs! like this one that drove me crazy :))

  File "D:\XAI\Code\AU_R-CNN-master\AU_rcnn\train.py", line 459, in <module>
    main()

  File "D:\XAI\Code\AU_R-CNN-master\AU_rcnn\train.py", line 202, in main
    extract_len=args.extract_len)  # 可改为/home/nco/face_expr/result/snapshot_model.npz

  File "D:/XAI/Code/AU_R-CNN-master\AU_rcnn\links\model\faster_rcnn\faster_rcnn_resnet101.py", line 119, in __init__
    mean_array = np.load(mean_file)

  File "C:\ProgramData\Anaconda3\envs\R-CNN\lib\site-packages\numpy\lib\npyio.py", line 444, in load
    raise ValueError("Cannot load file containing pickled data "

ValueError: Cannot load file containing pickled data when allow_pickle=False

Could you please guide me?

thanks

machanic commented 3 years ago

Please put put the mean file into the hard disk. You can download the mean file (which includes the value of mean of all pixels colors of images) from : https://drive.google.com/open?id=1y-yjOPuo7OcXA_bbNIZ0bfmV72mOBXON

Then you can use --mean to specify the location of hard disk. https://github.com/machanic/AU_R-CNN/blob/master/AU_rcnn/train.py#L129

machanic commented 3 years ago

Also, you can refer to https://github.com/machanic/AU_R-CNN/issues/18 for more information about mean file.