Comments (3)
you can decrease the input size in setting.py file.Like I changed to 969696 from 44844850
parser.add_argument(
'--input_D',
default=96,
type=int,
help='Input size of depth')
parser.add_argument(
'--input_H',
default=96,
type=int,
help='Input size of height')
parser.add_argument(
'--input_W',
default=96,
type=int,
help='Input size of width')
from medicalnet.
Same problem with 6g memories.
from medicalnet.
thx, it works
BUT does the size have any influence on the result?
from medicalnet.
Related Issues (20)
- The dataset list of 23 datasets for the pre-trained model HOT 1
- Landmark detection in 3D point clouds
- Starting experiments with MedicalNet; question one: what are parameters --input_D, --input_H, --input_W? HOT 2
- Sharing models through Hugging Face Hub
- Cannot load checkpoints
- on which datasets the models are pretrained ? HOT 1
- Is there any classification code ?
- Contribution to the Open Source Hugging Face community.
- resent 50pth HOT 2
- SRS
- If I want to transfer to my own dataset, do I have to preprocess my data in the same way as you mentioned in your paper?
- Pre-trained models' results
- Project dependencies may have API risk issues
- Classification code with modification of train.py and datasets/brains18.py HOT 17
- Query: Can this be used to identify Chronic Kidney Diseases with Ultrasound scans?
- How to get the pretrained model
- Utilizing resnet_50.pth for 3D Feature Map Extraction HOT 3
- Integrating Labeled Image Features with Excel Input Variables Through Dense Layer Concatenation
- pretrian code
- Shortcut A
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from medicalnet.