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Qengineering/YoloV4-ncnn-Jetson-Nano - GitHub
Apr 4, 2021 · YoloV4 with the ncnn framework. Paper: https://arxiv.org/pdf/2004.10934.pdf. Special made for a Jetson Nano see Q-engineering deep learning examples.
- As was stated before, one of the features of Poly-YOLO is an object detection with the ability to estimate a polygon tightly wrapping around the object. For that purpose, quite specific data must be fetched in. Commonly, publicly available data sets focus on pixel-precise segmentation masks. The mask assigns each pixel to one of the many predefined...
- Author: Petr Hurtík, Vojtech Molek, Jan Hula, Marek Vajgl, Pavel Vlasánek, Tomas Nejezchleba
- Publish Year: 2020
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Improved YOLOv4-tiny network for real-time electronic …
Nov 23, 2021 · The YOLOv4-tiny detector is transplanted to the field of robotics in the electronics industry instead of the traditional method, thus providing a technical reference for the …
For this reason, the YOLOv4‑tiny method is used to detect electronic components and is improved. Then, dierent network structures are built for the adaptive integration of middle‑ and …
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YOLOv5 | PyTorch
Ultralytics YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further …
ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub
We trained YOLOv5-cls classification models on ImageNet for 90 epochs using a 4xA100 instance, and we trained ResNet and EfficientNet models alongside with the same default …
ultralytics/ultralytics: NEW - YOLOv8 in PyTorch - GitHub
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost …
YOLOv4 - Ultralytics YOLO Docs
Nov 12, 2023 · Showcasing the intricate network design of YOLOv4, including the backbone, neck, and head components, and their interconnected layers for optimal real-time object …
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yolobit · GitHub Topics · GitHub
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