Add support for less or more frequent mAP calculation while training #4918
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'-mAP_epochs' decide after how many epochs mAP should be calculated. Default value is 4 which means the mAP will be calculated after each 4 epochs.
Add instructions to use '-mAP_epochs' command line argument while training.
Monitor training, Add support to display remaining training time on training chart
Merge Changes from Base Repo (AlexeyAB/darknet)
Merge changes from alexeab/darknet
Merge Changes from AlexeAB/darknet
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I was on the verge of implementing this myself today. Guess I'm lucky, lol. :D |
Merge changes from AlexeAB/darknet
Merge Changes From alexeyab
cenit
reviewed
Sep 1, 2023
cenit
reviewed
Sep 1, 2023
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This pull request adds the flexibility to calculate mAP less or more frequently while training. The user can set the command line argument
-mAP_epochsto decide after how many epochs mAP should be calculated. For example in order to calculate mAP for each 2 Epochs run the training with commanddarknet.exe detector train data/obj.data yolo-obj.cfg darknet53.conv.74 -map -mAP_epochs 2.Note that by default the code calculates the mAP after each 4 epochs. So this feature particularly be useful in the scenarios where user is training on big one class dataset where the model may converge quickly, hence more frequent validation mAP calculation is required.