ycd2016 / CV_Nuts_BaselineLinks
【山东应用大赛-螺母螺栓产品质量智能检测】初赛TOP1,复赛TOP2方案
☆11Updated 4 years ago
Alternatives and similar repositories for CV_Nuts_Baseline
Users that are interested in CV_Nuts_Baseline are comparing it to the libraries listed below
Sorting:
- 基于RFBNET实现对无人机航拍图中电力杆塔,输电线的异常检测☆50Updated 3 years ago
- 和鲸社区Kesci 水下目标检测算法赛(声学图像赛项)a榜 top3 b榜 top9☆14Updated 5 years ago
- 旷视AI智慧交通开源赛道仙交小分队解决方案☆17Updated 4 years ago
- 分别使用OpenCV、ONNXRuntime部署多任务的yolov5目标检测+语义分割,包含C++和Python两个版本的程序☆30Updated 3 years ago
- ☆19Updated 5 years ago
- 天池2021广东工业智能制造大赛瓷砖瑕疵检测极客奖方案☆79Updated 4 years ago
- 项目使用华为云 ModelArts AI 开发平台进行训练部署,采用 Mask R-CNN 算法模型进行识别预测。☆13Updated 5 years ago
- 对于小目标的检测和识别☆31Updated 7 years ago
- 钢筋数量识别 baseline 0.98336☆86Updated 2 years ago
- 天气分类比赛☆24Updated 6 years ago
- 基于RepVGG中的结构重参数化思想,对YOLOX模型进行了一些变形☆13Updated 4 years ago
- DataFountain-基于虚拟仿真环境下的自动驾驶交通标志识别 4th☆34Updated 6 years ago
- yolov5 with more backbone☆19Updated 3 years ago
- 记录yolov5的TensorRT量化及推理代码,经实测可运行于Jetson平台☆20Updated 2 years ago
- ☆12Updated 3 years ago
- 记录每一个常用的深度模型结构的特点(图和代码)☆30Updated 7 years ago
- Segmentation-Based Deep-Learning Approach for Surface-Defect Detection☆27Updated 5 years ago
- Steel defect detection intern project in PIRL(Postech information Research Laboratories)☆18Updated 6 years ago
- 这是一个使用Python和PyQt5开发的一个计算机视觉辅助裂缝标注工具,标注工具先用边缘检测和形态学方法预识别裂缝,然后人工对结果进行标涂或擦除。除了此方法,工具还有其他多种方法,详情请见readme.md的介绍☆88Updated 6 years ago
- DIY_resnet+迁移学习+风格迁移☆18Updated 6 years ago
- all code used by python(including web-crawler,deeplearning)☆28Updated 5 years ago
- 天池比赛,kaggle等等(Keras/PyTorch实战)☆182Updated 5 years ago
- Kaggle鱼分类比赛,主要用到了CNN和fine tune☆13Updated 7 years ago
- DataFountain-基于虚拟仿真环境下的自动驾驶交通标志识别 4th☆22Updated 6 years ago
- cv的一些比赛☆45Updated 6 years ago
- real-time fire detection on Jetson Nano 2GB using NanoDet☆27Updated 5 years ago
- tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version☆20Updated 4 years ago
- ☆24Updated 4 years ago
- 深度学习常用的脚本,比如公共数据集(Tusimple,VOC等)的转换(xml2json,json2xml,yolo2voc),读取视频,分离训练验证集等☆23Updated 4 years ago
- ☆106Updated 4 years ago