Comments (4)
And after I run 'pose transfer' block , when I run 'try-on' , I will met this error.
Run time error: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0: 6.00 GiB total capacity: 3.62 GiB already allocated: 0 bytes free: 3.72 GiB reserved in total by Pytorch )If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Here's my Chip, maybe the memory is not enough for the Demo? (T_T)
Chip type: NVIDIA geforce rtx3060 laptop GPU
DAC type: integrated RAMDAC
Device off type: complete display device
Total memory: about 22278mb
Display memory (VRAM): 6023mb
Shared memory: 16255mb
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for Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
, check if you have image array in right type
and range. As the error indicated, the image array should have [0..1] for floats or [0..255] for integers).
For memory, it should be fine for 256x176. Please check Nvidia-smi
to see if there is anything else occupying the memory. Thanks.
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Thank u so much in advance❤❤❤After I set the dataset as u say , then I run the demo , no error but no images are printed...
Here's the warnings, I tried to change
align_corners=False
toalign_corners=True
in.\torch\nn\functional.py
, but it's useless...C:\Users\75643\miniconda3\envs\gfla\lib\site-packages\torch\nn\functional.py:3636: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. "See the documentation of nn.Upsample for details.".format(mode) C:\Users\75643\miniconda3\envs\gfla\lib\site-packages\torch\nn\functional.py:4007: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. "Default grid_sample and affine_grid behavior has changed " C:\Users\75643\Desktop\0postgraduate\1paper\0_DiOr_repo\dressing-in-order-main\utils\pose_utils.py:91: FutureWarning: circle is deprecated in favor of disk.circle will be removed in version 0.19 yy, xx = circle(joint[0], joint[1], radius=radius, shape=img_size) Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
I have the same problem. How did you resolve it?
from dressing-in-order.
Must use scikit-image<=1.18
. They removed old deprecation, and renamed some functions one of which circle
was renamed to disk
. Or if you need the newer version of scikit-image, you should refactor the code to change all circle
function calls to disk
.
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Related Issues (20)
- Colab model download link is not working
- No such file or directory: 'pretrained_models/flownet.pt' HOT 1
- Not able to get password for img_highres.zip HOT 2
- What is $DATA_DIR in run_eval.sh file if I rerun all the training processing with DFashion dataset ? HOT 1
- Official Colab Released! HOT 4
- Results on custom images HOT 1
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- Typo in repo download file. HOT 1
- Help with inference. HOT 2
- Is there a specific order for the three stages of training? HOT 1
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- NameError: name 'circle' is not defined HOT 4
- Not showing the output images while code is running HOT 1
- While trying custom images my output skeleton tilted -90 degrees HOT 3
- Google colab downloading data problem HOT 2
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