wu-yakun

wu-yakun

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wu-yakun's repositories

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daily-paper-visual-tracking

记录每天整理的视觉目标跟踪论文

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darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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Keras-DIOU-YOLOv3

Keras上700行代码复现YOLOv3!使用DIOU loss。支持将模型导出为pytorch模型。

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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

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maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

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tensorRT

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

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tpu

Reference models and tools for Cloud TPUs.

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Yolo-Fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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