Super(OverlayRenderer, self)._init_(faces=faces, img_size=img_size)įile "/home/mona/research/code/expose/expose/utils/plot_utils.py", line 418, in _init_ Super(HDRenderer, self)._init_(**kwargs)įile "/home/mona/research/code/expose/expose/utils/plot_utils.py", line 576, in _init_ Hd_renderer = HDRenderer(img_size=body_crop_size)įile "/home/mona/research/code/expose/expose/utils/plot_utils.py", line 735, in _init_
#Opengl coords software#
LibEGL warning: Not allowed to force software rendering when API explicitly selects a hardware device.įile "/home/mona/venv/expose/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context LibEGL warning: DRI2: failed to create dri screen 16:33:49.287 | WARNING | :load_checkpoint:124 - The following keys were not expected: 16:33:49.287 | WARNING | :load_checkpoint:121 - The following keys were not found: 16:33:48.676 | WARNING | :load_checkpoint:93 - Loading checkpoint from data/checkpoints/model.ckpt! 16:33:48.676 | INFO | :load_checkpoint:90 - Load pretrained: False 16:33:48.676 | INFO | :_init_:44 - Creating directory data/checkpoints 16:33:48.473 | INFO | :_init_:515 - 2D Left hand crop keyps loss: KeypointLoss(Norm type: L1) 16:33:48.472 | INFO | :_init_:502 - 2D Left hand crop keyps loss: KeypointLoss(Norm type: L1) 16:33:48.471 | INFO | :_init_:267 - Building iterative regressor with 3 stages
16:33:48.260 | INFO | _predictor:_init_:81 - Building head predictor with 3 stages 16:33:48.258 | INFO | :_init_:267 - Building iterative regressor with 3 stages 16:33:48.000 | INFO | :_init_:267 - Building iterative regressor with 3 stages
16:33:47.980 | WARNING | :load_weights:520 - data/network_weights/hrnet/imagenet/hrnet_w48-8ef0771d.pth does not exist!
#Opengl coords download#
16:33:47.980 | WARNING | :load_weights:519 - => please download pre-trained models first! INFO - 16:33:41,267 - acceleratesupport - No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate'
(expose) python demo.py -image-folder ~/Downloads/sample1 -exp-cfg data/conf.yaml -show=True -output-folder ~/Downloads/sample_out -save-params True -save-vis True -save-mesh True
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