softened-similarity-learning
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Memory vectors,parts and cameras
Hi! I have a question. Hope you can help me. In your config.ini , Train Data, there are three memory paths. But i don't have memory_vectors. I think it is saved after training. But your code need to load memory_vectors_path (memory_parts_path, memory_cameras_path) before training. How can i do this?
You should be able to find the link to download the files in README. If you want to generate the files yourself just initiate the model with pretrained weights then run inference on the dataset. The model will return the corresponding vectors for each image for you to save. Good luck!
Thank you so much!
I 'm sorry to bother you. But I want the softened labels. How can I get this labels table? Because I can't see your codes that update the labels. Could you help me? Thank you!
Softened labels are simply indices, each instance would have a different label. The Market1501Dataset class automatically returns the softened labels.
hi. sorry to bother you. I have a question. hope you can help me. how can I generate camera.pth, vectors.pth and parts.pth that that are available in memory_table for another dataset (for example Duke dataset)?