Alternatives and similar repositories for U2Net-rknn

Users that are interested in U2Net-rknn are comparing it to the libraries listed below

• kuaileBenbi / MVS-RKNN
  海康威视工业相机在瑞芯微RK3588下调用NPU跑YOLOv5
  ☆27Updated last year
• YaoQ / plate-detection-RK3588
  RK3588上实现车辆车牌检测，并输出4个点的landmark，车牌颜色和车牌识别
  ☆11Updated last year
• aemior / yolov8n_rk3588
  ☆39Updated 2 years ago
• yinghanguan / PaddleOCR2RKNN
  Convert the official paddleocr model to a deployable model on RK1126
  ☆38Updated 2 years ago
• LittleRain626 / rknn_yolov5_3588_bytetrack
  ☆24Updated 3 years ago
• wzxzhuxi / rknn-3588-npu-yolo-accelerate
  rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
  ☆67Updated 3 weeks ago
• cqu20160901 / yolov8-obb_onnx_rknn_horizon_tensonRT
  yolov8 旋转目标检测部署，瑞芯微RKNN芯片部署、地平线Horizon芯片部署、TensorRT部署
  ☆26Updated last year
• autoexpect / rknn_ffmpeg_tutorial
  ffmpeg->rockchip mpp decoding->rknpu rknn->opencv opengl rendering
  ☆40Updated 2 years ago
• shaoshengsong / rockchip_rknn_yolov5
  yolov5 detector using rockchip rknn in C++
  ☆39Updated 2 years ago
• hpc203 / low-light-image-enhancement-opencv-dnn
  使用OpenCV部署低光照图像增强，包含C++和Python两个版本的程序
  ☆23Updated last year
• Ley-WL / ultralytics-rknn
  基于ultralytics-yolov8, 将其检测/分类/分割/姿态等任务移植到rk3588上
  ☆13Updated last year
• cqu20160901 / yolov8n_official_onnx_tensorRT_rknn_horizon
  yolov8n 部署版，基于官方的导出onnx脚本导出onnx模型，在不同平台上进行部署测试，便于移植不同平台（onnx、tensorRT、rknn、Horizon）。
  ☆38Updated 2 years ago
• Try2ChangeX / NanoTrack_RK3588_python
  python版本基于rk3588的NanoTrack,每秒可达120FPS
  ☆110Updated 2 years ago
• Try2ChangeX / NanoTrack_Libtorch
  C++版本基于libtorch的NanoTrack跟踪算法
  ☆48Updated 2 years ago
• MontaukLaw / yolov5_3588_multi_thread
  启动多线程, relu激活, 3588的yolo部署, 帧率150以上.
  ☆20Updated last year
• cqu20160901 / yolov7_caffe_onnx_tensorRT_rknn_horizon
  yolov7 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台（caffe、onnx、tensorRT、RKNN、Horzion）。
  ☆32Updated 2 years ago
• 455670288 / rknn-yolov8s-multi-thread-inference
  yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速
  ☆25Updated 6 months ago
• crab2rab / RKNN-YOLOV5-BatchInference-MultiThreading
  RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理
  ☆21Updated last year
• zhuyuliang / LightTrack-rknn
  RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
  ☆21Updated 3 years ago
• cqu20160901 / yolov8_rknn_Cplusplus
  yolov8 瑞芯微 rknn 板端 C++部署。
  ☆109Updated last year
• liujianisme / yolo5_caffe_hisi3559
  yolov5: pytorch->onnx->caffe->hisi3559
  ☆22Updated last year
• cqu20160901 / yolov8n_rknn_Cplusplus_dfl
  yolov8 瑞芯微 rknn 板端 C++部署，使用平台 rk3588，全网最简单、运行最快的部署方式。
  ☆36Updated last year
• crab2rab / MonocularDistanceDetect-YOLOV5-RKNN-CPP-MultiThread
  基于yolov5的C++单目摄像头测距
  ☆37Updated last year
• hpc203 / FreeYOLO-opencv-onnxrun-cpp-py
  分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测，总共包含143个onnx模型，有COCO目标检测，人脸检测，密集行人检测的三种检测功能，依然是包含C++和Python两个版本的程序
  ☆32Updated 2 years ago
• we0091234 / yolov8-tensorrt
  yolov8 tensorrt 加速
  ☆53Updated 2 years ago
• Try2ChangeX / sort_cpp
  C++版本的sort算法，可无缝添加在检测器后进行实时多目标跟踪
  ☆11Updated 2 years ago
• cqu20160901 / yolov8n_onnx_tensorRT_rknn_horizon
  yolov8n 部署版本，后处理用python语言和C++语言形式进行改写，便于移植不同平台（onnx、tensorRT、RKNN、Horzion）
  ☆148Updated last year
• ZhangLi1210 / NanoTrack_Tensorrt_Cpp
  NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!
  ☆24Updated last year
• cqu20160901 / yolov5p6_caffe_onnx_tensorRT_rknn_horizon
  yolov5_nano_p6 部署版本，后处理用python语言和C形式进行改写，便于移植不同平台caffe、onnx、tensorRT、rknn、horizon。
  ☆28Updated 2 years ago
• Hiwyl / yolov5_onnx2caffe
  yolov5 deploy 3559
  ☆33Updated 3 years ago