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ncnn is a high-performance neural network inference framework optimized for the mobile platform
bubbliiiing / yolov7
Forked from WongKinYiu/yolov7Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
dasdristanta13 / YOLOv6
Forked from meituan/YOLOv6YOLOv6: a single-stage object detection framework dedicated to industrial applications.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Tensorflow implementation of Swin Transformer model.
YOLOX with SwinTransformer backbone.
Waste Object Detection in Android with YOLOX
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
deep learning for image processing including classification and object-detection etc.
这是一个efficientnet-yolo3-tf2的源码，将yolov3的主干特征提取网络修改成了efficientnet
这是一个deeplabv3-plus-tf2的源码，可以用于训练自己的模型。
这是一个yolo4-tf2（tensorflow2）的源码，可以用于训练自己的模型。
这是一个YoloV4-tiny-tf2的源码，可以用于训练自己的模型。
这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
这是一个faster-rcnn的tensorflow2实现的库，可以利用voc数据集格式的数据进行训练。