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主 干网络用于提取图像特征,首先,聚焦(focus)模块学 习输入特征,不丢失细节同时减少计算量 ;然后, CBS(conv BN silu)和 CSP(cross stage paritial)特征提 取模块将特征映射分成两部分,以较高计算效率提 高模型特征提取能力,最后,空间金字塔池化(spa‐ tial pyramid pooling,SPP)模块扩大感受野和丰富特 征表达...
Article PubMed PubMed Central Google Scholar Zhou, Y. et al. Adaptive active positioning of Camellia oleifera fruit picking points: Classical image processing and YOLOv7 fusion algorithm. Appl. Sci. 12(24), 12959. https://doi.org/10.3390/app122412959 (2022). Article CAS Google Scholar Hu...
python train.py --data data/widerface.yaml --cfg models/yolov5m.yaml --hyp data/hyps/hyp.scratch-med.yaml --weights weights/yolov5m.pt --batch-size 16 --epochs 200 --name widerface-m 📌 将best.pt更名为widerface-m.pt 💡 训练结果分析和总结 📌 训练参数 属性名称属性参数 层数 ...
Performance audit evaluation of marine development projects based on SPA and BP neural network model. Open Geosci. 2023;15:20220470.10.1515/geo-2022-0470Search in Google Scholar [4] Sun H, Gao S, Liu J, Liu W. Research on comprehensive benefits and reasonable selection of marine resources ...
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[CrossRef] [PubMed] 28. Cai, Z.; Vasconcelos, N. Cascade R-CNN: Delving into High Quality Object Detection. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 18–23 June 2018; pp. 6154–6162. [CrossRef] 29. Ren, ...
Rfaconv: Innovating spatital attention and standard convolutional operation. arXiv 2023, arXiv:2304.03198. [Google Scholar] Redmon, J.; Divvala, S.; Girshick, R.; Farhadi, A. You only look once: Unified, real-time object detection. In Proceedings of the IEEE Conference on Computer Vision ...