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Hi! I run into an out of memory error right from the start.
Build is the current pip install and the current developer build.
Testprogram is your simple example:
import easyocr
reader = easyocr.Reader(['de'])
reader.readtext('test.png')
Cuda version 10.1
torch 1.5.1
torchvision 0.6.1
After start (and a clean reboot of my machine) I get:
RuntimeError: CUDA out of memory. Tried to allocate 856.00 MiB (GPU 0; 4.00 GiB total capacity; 1.69 GiB already allocated; 310.80 MiB free; 2.65 GiB reserved in total by PyTorch)
Is it even possible to use easyOCR with 4GB GPU memory?
Thank you!
The text was updated successfully, but these errors were encountered:
Hi! I run into an out of memory error right from the start.
Build is the current pip install and the current developer build.
Testprogram is your simple example:
import easyocr
reader = easyocr.Reader(['de'])
reader.readtext('test.png')
Cuda version 10.1
torch 1.5.1
torchvision 0.6.1
After start (and a clean reboot of my machine) I get:
RuntimeError: CUDA out of memory. Tried to allocate 856.00 MiB (GPU 0; 4.00 GiB total capacity; 1.69 GiB already allocated; 310.80 MiB free; 2.65 GiB reserved in total by PyTorch)
Is it even possible to use easyOCR with 4GB GPU memory?
Thank you!
The text was updated successfully, but these errors were encountered: