[Wait for #2588][Application] update yolo v2 hyper params #2597
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In order to train a large dataset, instead of loading the dataset into memory in advance, it was changed to a real-time loading method during training, and visualization code was added to check whether the training proceeded well. Signed-off-by: Seungbaek Hong <[email protected]>
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📝 TAOS-CI Version: 1.5.20200925. Thank you for submitting PR #2597. Please a submit 1commit/1PR (one commit per one PR) policy to get comments quickly from reviewers. Your PR must pass all verificiation processes of cibot before starting a review process from reviewers. If you are new member to join this project, please read manuals in documentation folder and wiki page. In order to monitor a progress status of your PR in more detail, visit http://ci.nnstreamer.ai/. |
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baek2sm
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update yolo v2 modeling part of yolo v2. (update some hyper param values) - update yolo v2 pytorch(python) script - update yolo v2 nntrainer(c++) script * issue - activation function(in this case, leaky relu) of nntrainer needs to support setting negative slope via parameter... **Self evaluation:** 1. Build test: [X]Passed [ ]Failed [ ]Skipped 2. Run test: [X]Passed [ ]Failed [ ]Skipped Signed-off-by: Seungbaek Hong <[email protected]>
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update yolo v2 modeling part of yolo v2.
(update some hyper param values)
issue:
parameter...
Self evaluation:
Signed-off-by: Seungbaek Hong [email protected]