Comments (2)
XuefeiW
commented on May 25, 2024
The script does this:
load an image;
resize image to 256x256 (line 64)
centre crop resized image to 224x224 (line 71)
So the input image of the model is 3x224x224
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jay-mahadeokar
commented on May 25, 2024
The resize to 256x256 and random crop to 224x224 is done during training for data augmentation. Refer the residual networks paper section 3.4. During runtime / test we take center crop after resize.
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Related Issues (20)
- python can't open classify_nsfw.py HOT 2
- Instructions to retrain the model with own image data set HOT 1
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