BOMW

BOMW's Stars

• dog-qiuqiu/FastestDet

  :zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

  Language:Python771130

• Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB

  💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

  Language:Python7.2k1.5k

• Sharpiless/Yolov5-Flask-VUE

  基于Flask+VUE前后端，在阿里云公网WEB端部署YOLOv5目标检测模型

  Language:Python18324

• Sharpiless/PaddleX-Flask-VUE-demo

  基于PaddleX+Flask开发后端，基于VUE开发前端应用，做一个AI医疗的WEB应用

  Language:Vue15550

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.2k11.6k

• FacePerceiver/facer

  Face analysis tools for modern research, equipped with state-of-the-art Face Parsing and Face Alignment

  Language:Python34335

• lxtGH/SFSegNets

  [ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

  Language:Python36643

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.3k453

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.7k1.7k

• OAID/Tengine

  Tengine is a lite, high performance, modular inference engine for embedded device

  Language:C++4.6k997

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.1k6.9k

• miraclewkf/MobileNetV2-PyTorch

  This is the PyTorch implement of MobileNet V2

  Language:Python10538

• d-li14/mobilenetv2.pytorch

  72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

  Language:Python673189

• luohenyueji/OpenCV-Practical-Exercise

  OpenCV practical exercise

  Language:C++510205

• TrickyGo/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  Language:Jupyter Notebook3.8k820

• Ximilar-com/xcenternet

  Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

  Language:Python15831

• gzr2017/ImageProcessing100Wen

  「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

  Language:Python3.6k1.1k

• dragen1860/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。

  Language:Jupyter Notebook6.4k2.2k

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4.1k

• hamza3e/Minutiae-Extraction

  Minutiae Extraction from fingerprint on google colab with python.

  Language:Jupyter Notebook62

• rayronvictor/Fingerprint-Features-Extraction

  Fingerprint Features Extraction

  Language:Python25

• Utkarsh-Deshmukh/Fingerprint-Feature-Extraction

  Extract minutiae features from fingerprint images

  Language:Python14244

• snowkylin/tensorflow-handbook

  简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程

  Language:Jupyter Notebook3.9k842

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python22.6k6.3k

• Jerryzhangzhao/django_tfserving_web

  a web service of image classification using django and tfserving

  Language:Python176

• Utkarsh-Deshmukh/Fingerprint-Enhancement-Python

  Using oriented gabor filters to enhance fingerprint images

  Language:Python219103

• kjanko/python-fingerprint-recognition

  Fingerprint recognition with OpenCV

  Language:Python215117

• przemekpastuszka/biometrics

  fingerprint recognition, etc.

  Language:Python269137

• alibaba/MNNKit

  MNNKit is a collection of AI solutions for mobile developers, powered by MNN engine.

  Language:Objective-C640106

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python68.5k6.1k