I tried to run the project on Ubuntu 16.04, but I met an error. The environment is clean installed one. Could you give me some advices on what I should do with this error?

----- logs ------ cvl@cvl-All-Series:~/workspace/3dpose_gan$ python bin/demo.py your/image.png --lift_model sample/gen_epoch_500.npz --model pose_iter_440000.caffemodel --proto2d pose_deploy_linevec.prototxt MODEL: generator, N_OUT: 17, N_UNIT: 1024 Traceback (most recent call last): File "/home/cvl/.pyenv/versions/3.6.1/lib/python3.6/site-packages/numpy/lib/npyio.py", line 428, in load return pickle.load(fid, **pickle_kwargs) _pickle.UnpicklingError: invalid load key, 'v'.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "bin/demo.py", line 201, in main(args) File "bin/demo.py", line 157, in main chainer.serializers.load_npz(args.lift_model, model) File "/home/cvl/.pyenv/versions/3.6.1/lib/python3.6/site-packages/chainer/serializers/npz.py", line 151, in load_npz with numpy.load(file) as f: File "/home/cvl/.pyenv/versions/3.6.1/lib/python3.6/site-packages/numpy/lib/npyio.py", line 431, in load "Failed to interpret file %s as a pickle" % repr(file)) OSError: Failed to interpret file 'sample/gen_epoch_500.npz' as a pickle

cvl@cvl-All-Series:~/workspace/3dpose_gan$ ls sample/gen_epoch_500.npz sample/gen_epoch_500.npz cvl@cvl-All-Series:~/workspace/3dpose_gan$ pip install -U pickle Collecting pickle Could not find a version that satisfies the requirement pickle (from versions: ) No matching distribution found for pickle cvl@cvl-All-Series:~/workspace/3dpose_gan$ pip install -U scipy Requirement already up-to-date: scipy in /home/cvl/.pyenv/versions/3.6.1/lib/python3.6/site-packages Requirement already up-to-date: numpy>=1.8.2 in /home/cvl/.pyenv/versions/3.6.1/lib/python3.6/site-packages (from scipy) cvl@cvl-All-Series:~/workspace/3dpose_gan$ python -V Python 3.6.1

It seems the git lfs has a small quota, which has been exceeded. Could you provided another way to get the gen_epoch_500.npz?

batch response: This repository is over its data quota. Purchase more data packs to restore access. error: failed to fetch some objects from 'https://github.com/DwangoMediaVillage/3dpose_gan.git/info/lfs'

Thanks for sharing this work. When running the demo, I guess the right command is

python bin/demo.py sample/image.png --lift_model sample/gen_epoch_500.npz --model2d pose_iter_440000.caffemodel --proto2d openpose_pose_coco.prototxt

One argument is model2d instead of model.

Human3.6M

• [x] unsupervised learning (ground truth 2d pose as input)
• [x] supervised learning (ground truth 2d pose as input)
• [x] evaluation of estimated 3d pose

When "run" demo the following error will be output Module versions are consistent.

[libprotobuf ERROR /io/opencv/3rdparty/protobuf/src/google/protobuf/text_format.cc:288] Error parsing text-format opencv_caffe.NetParameter: 7:1: Expected identifier, got: <
Traceback (most recent call last):
  File "bin/demo.py", line 199, in <module>
    main(args)
  File "bin/demo.py", line 163, in main
    points = OpenPose(args).predict(args, frame)
  File "bin/demo.py", line 108, in __init__
    self.net = cv.dnn.readNetFromCaffe(args.proto2d, args.model2d)
cv2.error: OpenCV(3.4.5) /io/opencv/modules/dnn/src/caffe/caffe_io.cpp:1151: error: (-2:Unspecified error) FAILED: ReadProtoFromTextFile(param_file, param). Failed to parse NetParameter file: sample/openpose_pose_coco.prototxt in function 'ReadNetParamsFromTextFileOrDie'

Do you have any advice?

When "run" demo the following error will be output Module versions are consistent.

Traceback (most recent call last): File "bin/demo.py", line 9, in import evaluation_util File "/home/usr/download/3dpose_gan-master/bin/evaluation_util.py", line 10, in import projection_gan File "/usr/local/lib/python3.6/site-packages/projection_gan-0.0.1-py3.6.egg/projection_gan/init.py", line 1, in ImportError: cannot import name 'pose'

Do you have any advice?

Hi,Excuse me, I have a little problem about some details in your code.

In H3.6m dataset you used 3D data and real camera projection to generate 2D data, so the generated 2D points data are pixel coordinates instead of image plane coordinates because of multiplying the parameter f in the camera.

So my problem is whether I need to divide f when normalizing the 2D points in order to get the image plane coordinates.The reason for this is because the assumption is that the orthogonal projection, that is, the 2D coordinates generated by the generator, are the image plane coordinates,while the input are pixel coordinates, which I think it will increase the error.

Thanks

How to train using MPII only 2D dataset(mpii_poses.npy)? Is it the same with H36M? When I train using MPII dataset, I got this error: Expect: x0.shape == x1.shape Actual: (16, 17) != (16, 0, 51)

Hi is it possible to extend this to posenet (which does the 2d joint detection? ) It has the following keypoint configuration

'nose', 0 'leftEye', 1 'rightEye', 2 'leftEar', 3 'rightEar', 4 'leftShoulder', 5 'rightShoulder', 6 'leftElbow', 7 'rightElbow', 8 'leftWrist', 9 'rightWrist', 10 'leftHip', 11 'rightHip', 12 'leftKnee', ' 13 rightKnee', 14 'leftAnkle', 15 'rightAnkle' 16