Comments (2)
You can convert to N*D numpy.ndarray first and then reshape it.
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OK,thanks!!
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Related Issues (20)
- I use your model but get better results,why? HOT 5
- could you please provide the file `external/exp/db/cuhk01/train.txt`? HOT 2
- Questions about data preprocessing and how to choose test set HOT 11
- about the inception layer HOT 2
- The difference of jstl_dgd_inference.caffemodel and jstl_dgd.caffemodel? HOT 6
- My Python implementation performs much worse than the paper HOT 3
- where is the guideddropout layer?? HOT 2
- how to use your cmc.py HOT 7
- error: invalid conversion from ‘const void*’ to ‘void*’ [-fpermissive] HOT 21
- Support for Shinpuhkan dataset
- JSTL
- ./merge_dbs.sh error HOT 1
- Training a model using the mixed dataset with JSTL - extactly as mentioned - But the result is too bad. The loss is not decreasing as 'archived' HOT 7
- change gpu id
- change batch_size value
- The last experiment didn't pass
- How can I run the code without Shinpuhkan dataset
- Could you please provide pretrained weight
- CMC calculation error
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