How can I use only './weights/posenet3d-rhd-stb-slr-finetuned.pickle'?

[dedoogong]

when I use only the model "'./weights/posenet3d-rhd-stb-slr-finetuned.pickle'", I got one error "ValueError: cannot reshape array of size 1049600 into shape (2562,512)" Hmmm, 2562 x 512 is 1311744 and 1049600 = 2050 x 512. What should I do? It seems to be related to PosePrior/fc_rel0/weights's shape " 2050, 512 = 1049600. I think I should call _inference_pose3d() as PosePrior, ViewPointNet's parameters are contained in the pickle and it was loaded already.

I don't use HandSegNet as below; def inference(self, image, hand_side, evaluation):

    # detect keypoints in 2D
    keypoints_scoremap = self.inference_pose2d(image) 
    keypoints_scoremap = keypoints_scoremap[-1] 
    # estimate most likely 3D pose
    keypoint_coord3d = self._inference_pose3d(keypoints_scoremap, hand_side, evaluation) 
    # upsample keypoint scoremap 
    s = image.get_shape().as_list()
    keypoints_scoremap = tf.image.resize_images(keypoints_scoremap, (s[1], s[2])) 
    return image, keypoints_scoremap

Can anybody give me any hint? Please help me ;/

[zimmerm]

I guess your variable image does not have size (B, 256, 256, 3).

[dedoogong]

thanks ! you're right. I didn't think about it ;/ sorry.