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asff

yolov3, ASFF

bayesian-yolov3

YOLOv3 object detection architecture with uncertainty estimation.

complex-yolov3

PyTorch implementation of Complex-YOLO paper with YoloV3

csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

darknet-ncnn-android

Android demo to use converted darknet model in ncnn.

darknet2ncnn

Darknet2ncnn converts the darknet model to the ncnn model

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepsort

MOT using deepsort yolo3 with C++

diou-ssd-pytorch

Distance-IoU Loss into SSD

distance-iou-loss-faster-and-better-learning-for-bounding-box-regression

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

easy-deep-learning

📚 深度学习的百草园

faster-rcnn_tf

Faster-RCNN in Tensorflow

feature-vis-yolov3

Feature visualization tool for YOLOv3, a real-time objection detection algorithm using a deep convolutional network with a Darknet backbone. Visualizes performance attributes via saliency maps to identify how features in the input pixel space influence our network’s predictions in terms of classification and localization

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

grad-cam-in-tensorflow

Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

intelligentmonitor

基于YOLOV3开发的智能视频监控模块(DLL)。支持视频有效片段提取、目标对象是否出现检测、目标对象出现次数，比如计数人出现多少次

keras-diou-yolov3

Keras上700行代码复现YOLOv3！使用DIOU loss。支持将模型导出为pytorch模型！

keras-gaussianyolov3

Gaussian YOLOv3 (An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)) implementation in Keras and Tensorflow

keras-grad-cam

An implementation of Grad-CAM with keras

keras-yolo3-tiny

keras-yolo3 code forked from experiencor/keras-yolo3. Modification made for convenient usage and better training performance. Yolov3-tiny are supported.

kitti-distance-estimation

Estimating distance to objects in the scene using detection information

kitti-object-eval-python

Fast kitti object detection eval in python(finish eval in less than 10 second)

kitti_plot_cluster

kitticlass

A model to classify roads based on Kitti Data.

map

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

mask_rcnn

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

maskyolo_caffe

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN