Comments (2)
To me it looks like those commands are baked into the network loaded in forward. It does bgr to rgb, scaling, and mean subtraction.
from tensorflow-resnet.
Yes I guess that is true, but that may be because the network was trained when the mean subtraction was still there. If you train from scratch and save now, mean subtraction is probably not there.
from tensorflow-resnet.
Related Issues (20)
- Current context was not created by the StreamExecutor cuda_driver HOT 1
- Output Node Names for the pre-trained data ? HOT 1
- inference_small function return none HOT 3
- Bug in forward.py HOT 2
- about queue_runners
- cannot download the pretrained weight
- Validation error
- image classification using resnet pre-trained HOT 12
- block function in resnet.py HOT 1
- New variables generated in moving_averages can't be assigned by caffe-model HOT 1
- Error in resnet_train.py
- can't load the pre-trained model. HOT 11
- Could you please upload a pre-trained model as .tfmodel file?
- could you please tell me why there are two ''return'' in line 25 and line 26 in convert.py
- is there anyone have successfully load the pretrained model in code? HOT 7
- how about imagenet txt
- AttributeError: 'NoneType' object has no attribute 'group'
- The project will worke?
- About the slim/nets/resnet_v1.py
- ERROR in inference() HOT 1
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from tensorflow-resnet.