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xlwings icon xlwings

xlwings is a BSD-licensed Python library that makes it easy to call Python from Excel and vice versa. It works with Microsoft Excel on Windows and macOS. Sign up for the newsletter or follow us on twitter via

yolact icon yolact

A simple, fully convolutional model for real-time instance segmentation.

yolo icon yolo

YOLO VS2015 c++ code, Only need opencv, do not rely on the Caffe Library

yolo-v5 icon yolo-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)

yolooclinference icon yolooclinference

An extremely light weight tiny-YOLO inference engine targeted towards OpenCL hardware.

yolov4 icon yolov4

Added jupyter notebook code to convert YOLOv4 weights to TensorFlow 2.2.0 version

yolov4-pytorch icon yolov4-pytorch

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

yolov4-tiny-tf2 icon yolov4-tiny-tf2

这是一个YoloV4-tiny-tf2的源码,可以用于训练自己的模型。

yolov4_tensorflow icon yolov4_tensorflow

implement yolov4 with pure tensorflow and you can training net on your own dataset. YOLOv4的纯tensorflow实现,可训练自己的模型.

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yolov5-multibackbone-compression icon yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

yolov5_ncnn icon yolov5_ncnn

🍅 移动端目标检测Object detection,使用YOLOv5s与YOLOv4-tiny模型,支持iOS、Android,使用NCNN框架。

yolov5_prune icon yolov5_prune

yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5

yolov5_tf icon yolov5_tf

Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow

yolov6 icon yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolox icon yolox

More Than YOLO(v3, v4, v3-tiny, v4-tiny)

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