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akhilpm / DroneDetectron2

Pytorch code for our CVPRw 2023 paper "Cascaded Zoom-in Detector for High Resolution Aerial Images"
MIT License
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P2 #35

Closed zuikeaideren closed 9 months ago

zuikeaideren commented 9 months ago

Hello, in your experiment, the best results were obtained by adding the P2 layer, but your configuration file gives RESNETS: OUT_FEATURES: ["res3", "res4", "res5"] FPN: IN_FEATURES: ["res3", "res4", "res5"] ANCHOR_GENERATOR: SIZES: [[32], [64], [128], [256], [512]] RPN: IN_FEATURES: ["p3", "p4", "p5", "p6", "p7"] ROI_HEADS: IN_FEATURES: ["p3", "p4", "p5", "p6", "p7"] do I need to change it to ["res2", "res3", "res4", "res5"]，[" p2","p3", "p4", "p5", "p6", "p7"]，[[16], [32], [64], [128], [256], [512]]What about this? thank you

akhilpm commented 9 months ago

Yes, you are right. It might increase your memory requirements a few times, quite a noticeable amount!

zuikeaideren commented 9 months ago

Yes, you are right. It might increase your memory requirements a few times, quite a noticeable amount!

ok，Thank you for your answer and your work.