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Contextdesc regional features extraction
Hi. For the extraction of regional features for the training of contextdesc, I don't know if I understand the steps:
- Download the Retrieval model "reg.pb"
- Resize input image to 448x448
- Use the function "extract_regional_features" to get the corresponding reg_feat of the resized images to be trained: "reg_feat_list "
- Get binary files
for reg_feat in reg_feat_list:
reg_feat.astype(np.float32).tofile(save_path)
Is that correct?