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keras-retinanet

Keras implementation of RetinaNet object detection.

keras_frcnn

Keras Implementation of faster-rcnn

mask_rcnn

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

mcnn_in_keras

keras实现的人群数量估计网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network"

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

object-detection-anchors

Tips on how to find suitable object detection anchors

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection [TPAMI]

opencv-python-tutorial

OpenCV-Python图像处理教程

opencv-python-tutorial-1

OpenCV问答群,QQ群号:187436093

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddleseg

End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件）

pcv

Open source Python module for computer vision

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-mask-rcnn

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_yolov4

PyTorch implementation of YOLOv4

pytorchdocs

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

soybean-flowers-detection

This project introduces a method based on Faster RCNN to detect the number of soybean flowers to solve the problem of manual counting of soybean flowers. Help breeders understand the genetic mechanism of flower drop and increase soybean yield. The program comes from the official website of MxNet, modified to be used for soybean flower counting problem

spfcn-parkingslotdetection

SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection

statistical-learning-methods

Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

team-learning

主要展示Datawhale的组队学习计划。

tensorbox

Object detection in TensorFlow. Brought to you by Kuprel Industries.

tfjs-wechat

WeChat Mini-program plugin for TensorFlow.js