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augmentor

Image augmentation library in Python for machine learning.

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

classical-network-structure

classical network structure(python)

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

data-augment

imgaug--Bounding Boxes augment

data_stucture_cpp

deep-learning-approach-for-surface-defect-detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dogs_vs_cats

猫狗大战

faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

github_test

just test!!!!!

imgaug

Image augmentation for machine learning experiments.

iossos

不死的Shadowrocket下载方法

learning_records

学习笔记或教程项目

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

memseg

memory-based semantic segmentation for off-road unstructured natural environments

onnxruntime-projects

Code for some onnxruntime projects

opencv_cpp

p1_facial_keypoints

First project for CVND: facial keypoint detection.

pytorch-gradcam-resnet50

CAM图的resnet50版本

recommendation

推荐系统实例

recommenders

Best Practices on Recommendation Systems

shape_based_matching

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

surface-defect-detection

缺陷检测文献记录

tensorflow-facenet

人脸识别算法，结合facenet网络结构和center loss作为损失，基于tensorflow框架，含训练和测试代码，支持从头训练和摄像头测试

tensorflow-mtcnn

人脸检测MTCNN算法，采用tensorflow框架编写，从理解到训练，中文注释完全，含测试和训练，支持摄像头