Comments (4)
thanks for your reply. Yes, I see the function compute_anchor_para and it recieve two params: anchor_base_scale and anchor_stride. In your annotations "Require anchor_base_scale, anchor_stride at first feature map, it depends on network configuration", I wonder how to set it in efficientdet-d0
@BravoLu Lucky you are. No need to modify any default parameter if I remember everything correctly. Yet Please allow me to double check.
However, I need to warn you that, the result is based on absolute scale. So you if resize your input, the anchor may not suit your model. I'm actually testing my code to make it scale free. Stay tuned.
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Hi @BravoLu ,
Thank you for contacting me. Firstly I want to double check with you. As in efficientdet, "anchor_base_scale" and "anchor_scale" are two different concepts. So which one you are referring to?
If you are referring to anchor_scale, then please have a look for "kmean anchor size " notebook. You only need to run each cell and check result.
Last line gives what you need.
from anchor_computation_tool.
thanks for your reply. Yes, I see the function compute_anchor_para and it recieve two params: anchor_base_scale and anchor_stride. In your annotations "Require anchor_base_scale, anchor_stride at first feature map, it depends on network configuration", I wonder how to set it in efficientdet-d0
from anchor_computation_tool.
Since there are no more follow up questions for now, I will close this thread. Please reopen if you need.
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Related Issues (13)
- what is compute_overlap HOT 8
- Dataset HOT 4
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