EvaceLi / dl_common_scriptLinks
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 3 years ago
Alternatives and similar repositories for dl_common_script
Users that are interested in dl_common_script are comparing it to the libraries listed below
Sorting:
- 支持多模型工程化的图像分类器☆25Updated 3 years ago
- 无人机视角、多模态、模型剪枝、国产AI芯片部署☆42Updated 3 years ago
- YOLO Series☆14Updated last year
- YOLOX 训练自己的数据集 TensorRT加速 详细教程☆40Updated 3 years ago
- yolov5 with more backbone☆19Updated 3 years ago
- YOLOv5 Quantization Aware Training with TensorRT☆17Updated 2 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
- 高效部署：YOLO X, V3, V4, V5, V6, V7, V8, EdgeYOLO TRT推理 ™️ ,前后处理均由CUDA核函数实现 CPP/CUDA🚀☆49Updated 2 years ago
- 基于yolov7 加入 depth回归☆18Updated 2 years ago
- 比ResNet更强的RepVGG，结构重参数化，推理部署一路3x3卷积到底，详细的代码讲解，欢迎star☆46Updated 4 years ago
- yolov5模型训练后量化代码☆19Updated 4 years ago
- 深度学习模型部署基础☆49Updated 4 years ago
- 使用ONNXRuntime部署阿里达摩院开源DAMO-YOLO目标检测，一共包含27个onnx模型，依然是包含了C++和Python两个版本的程序☆34Updated 2 years ago
- yolov5部署☆19Updated 3 years ago
- UNetMultiLane 多车道线和车道线类型识别部署版本，测试不同平台部署（onnx、tensorRT、RKNN、Horzion），可识别所在的车道和车道线的类型。☆28Updated last year
- Official YOLOv7训练自己的数据集并实现端到端的TensorRT模型加速推断☆48Updated 3 years ago
- ☆34Updated 2 years ago
- ☆52Updated 2 years ago
- Detection_Augmentation☆25Updated 2 years ago
- 旋转框检测的推理与计算☆23Updated 2 years ago
- ☆23Updated 2 years ago
- 手把手教你OpenVINO下部署NanoDet模型，intel i7-7700HQ CPU实测6ms一帧☆36Updated 4 years ago
- provide some new architecture, channel pruning and quantization methods for yolov5☆29Updated last week
- CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection☆55Updated last year
- yolov5+doublehead + MultiLabel+detection☆24Updated 3 years ago
- 数据增强仓库Albumentations的使用☆58Updated 4 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 3 years ago
- 🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLO…☆73Updated 3 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
- 手摸手 美团 YOLOv6模型训练和TensorRT端到端部署方案教程☆34Updated 3 years ago