tbe07tyg

tbe07tyg

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yolov5-net

YOLOv5 object detection with C#, ML.NET, ONNX

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keras-io

Keras documentation, hosted live at keras.io

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python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

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TensorFlow-2.x-YOLOv3

YOLOv3 implementation in TensorFlow 2.2.*

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Keras-YOLOv4

supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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keras-yolo4

A Keras implementation of YOLOv4 (Tensorflow backend)

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tutorials_week2

tutorials for MLSS 2019 Skoltech

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ml-class

Machine learning lessons and teaching projects designed for engineers

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person_segmentation_tf2.0

Using deepLabv3+ to segment humans

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PolarMask

Code for 'PolarMask: Single Shot Instance Segmentation with Polar Representation'

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AROB2019Code_SAUNet

This is source code for SA U-Net from AROB journal

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

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Getting-Started-with-Tensorflow-2.0-and-Keras-for-Beginners

Getting Started with TensorFlow 2.0 and Keras for Beginners

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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tf-fcos

fcos detector in tensorflow 2.0

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gradient_decode_dicom

🏨Gradient Health DICOM operation for Tensorflow

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five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

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Custom-Object-Detection

Custom Object Detection with TensorFlow

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SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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CV-arXiv-Daily

分享计算机视觉每天的arXiv文章

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