Comments (1)
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.
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.