More information is available at https://github.com/kyn0v/TIB-Net (accessed on 29 July 2023). Conflicts of Interest The authors declare no conflict of interest. References Shi, X.; Yang, C.; Xie, W.; Liang, C.; Shi, Z.; Chen, J. Anti-Drone System with Multiple Surveillance Techno...
Huang et al. [2017]↑Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger.Densely connected convolutional networks.InCVPR, pages 4700–4708, 2017. Jocher et al. [2023]↑Glenn Jocher, Jing Qiu, and Ayush Chaurasia.Ultralytics yolo.https://github.com/ultralytics/ultralytic...
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This is one of my first projects uploaded onto GitHub, and I am also learning how to use GitHub. It may not be perfect, but I did my best to ensure that this project functions correctly after cloning and I included a troubleshooting section near the bottom of this readme in case problem...
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- 🚀🚀🚀 Support [YOLOv5-OBB](https://github.com/hukaixuan19970627/yolov5_obb) with [DroneVehicle](https://github.com/VisDrone/DroneVehicle) and [DOTA](https://captain-whu.github.io/DOTA/index.html)-v1.0/v1.5/v2.0 model. - 🆕🆕🆕 Add a new feature for rotation box. - ...
Implement of vehicle flow statistics based on tensorflow and yolo3. New version with GUI: https://github.com/LeiWang1999/VehicleFlowDetection - Starrynightzyq/Drone_Vehicle_Flow_Detection
2023. Available online: https://github.com/ultralytics/ultralytics/blob/main/CITATION.cff (accessed on 30 June 2023). Chu, X.; Zheng, A.; Zhang, X.; Sun, J. Detection in crowded scenes: One proposal, multiple predictions. In Proceedings of the IEEE/CVF Conference on Computer Vision ...
GitHub. These images are labeled using Roboflow, and the model is trained on Google Colab. YOLOv8, known for its advanced architecture, was selected due to its suitability for real-time detection applications and its ability to process complex visual data. Hyperparameter tuning and data ...
Available online: https://github.com/ultralytics/yolov5 (accessed on 30 September 2024). Jocher, G.; Stoken, A.; Borovec, J.; NanoCode012; ChristopherSTAN; Changyu, L.; Laughing; tkianai; yxNONG; Hogan, A.; et al. Ultralytics/Yolov5: V4.0-Nn.SiLU() Activations, Weights & ...