dongpingli@163.com's repositories

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

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apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

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arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

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awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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awesome-computer-vision

A curated list of awesome computer vision resources

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awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

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deep_learning_object_detection

A paper list of object detection using deep learning.

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DEye

Keep an Eye on Defects Inspection.

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ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

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learnopencv

Learn OpenCV : C++ and Python Examples

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models

Models and examples built with TensorFlow

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nn-grocery-shelves

Recognition of product positions on shelf images using neural networks

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PaddleHub

Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)

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python-pcl

Python bindings to the pointcloud library (pcl)

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skill-map

程序员技能图谱

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slides

Storage for presentation slides of previous talks and events.

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tensornets

High level network definitions with pre-trained weights in TensorFlow

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void-detector

Detect voids in grocery store shelves.

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