zigangzhao-ai / ssd_vgg_CCTSDBLinks
The improved SSD is used to detect small targets in CCSDB dataset
☆12Updated 4 years ago
Alternatives and similar repositories for ssd_vgg_CCTSDB
Users that are interested in ssd_vgg_CCTSDB are comparing it to the libraries listed below
Sorting:
- ☆35Updated 6 years ago
- python+opencv实现对显著区域高速的车道线检测☆13Updated 6 years ago
- 钢筋数量识别 baseline 0.98336☆86Updated 2 years ago
- 行车环境实时语义分割与深度估计☆44Updated 6 years ago
- Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.☆75Updated 5 years ago
- human tracking based on yolov3 and center loss☆54Updated 6 years ago
- Spatial-Attention Location-Aware Multi-Object Tracking☆90Updated 3 years ago
- 项目采用 YOLO V4 算法模型进行目标检测,使 用 Deep SORT 目标跟踪算法。☆90Updated 2 years ago
- 基于yolo3的口罩佩戴检测项目☆20Updated 5 years ago
- This script converts FLIR thermal dataset annotations to YOLO format☆40Updated 5 years ago
- image (semantic segmentation) instance segmentation by darknet or yolo☆189Updated 4 years ago
- Object detection on thermal images(FLIR dataset)☆95Updated 6 years ago
- 最近在做车 道线检测、分割的工作,读到一篇十分不错的文章对此做下总结。并用 Pytorch 实现了文章中提到的十分重要的一个判别 loss☆48Updated 6 years ago
- 基于ssd的交通标志检测☆24Updated 7 years ago
- 深度学习车牌检测与识别,检测结果包含车牌矩形框和4个角点,基于pytorch框架运行☆115Updated 3 years ago
- 车辆多维特征识别系统,车色,车品牌,车标,车型☆109Updated 5 years ago
- 车道线检测和距离提醒☆22Updated 6 years ago
- various of fire pictures and videos in the repository☆62Updated 5 years ago
- real-time fire detection on Jetson Nano 2GB using NanoDet☆28Updated 4 years ago
- 车道线和路牌的简单识别,使用qt界面☆31Updated 6 years ago
- 运用图像处理计算机视觉技术结合现今火热的深度学习,完成基于无人机的高速公路违章检测,对算法进行研究与实现☆62Updated 6 years ago
- 以kears-yolov3做detector,以Kalman-Filter算法做tracker,进行多人物目标追踪☆167Updated 6 years ago
- Object tracking system based on deep learning. Master-Jetson TX2, ROS-image + control, image (DL) - detection + tracking, control - Turtl…☆45Updated 6 years ago
- ☆30Updated 5 years ago
- Implimentation of YOLOv5 and DeepSort in Pytorch for object tracking☆88Updated 3 years ago
- Object detection demo based on yolov5☆68Updated 4 years ago
- C++版本多目标跟踪☆27Updated 4 years ago
- Detecting rails, including curved and straight rails☆70Updated 5 years ago
- 用opencv的dnn模块实现Yolo-Fastest的目标检测☆52Updated 4 years ago
- 借助于Ascend310 AI处理器完成深度学习算法部署任务,应用背景为变电站电力巡检,基于YOLO v4算法模型对常见电力巡检目标进行检测,并充分利用Ascend310提供的DVPP等硬件支持能力来完成流媒体的传输、处理等任务,并对系统性能做出一定的优化。☆30Updated 4 years ago