b1xian / arm-neon-opencv
a few operators of opencv implement by arm neon
☆13Updated 3 years ago
Alternatives and similar repositories for arm-neon-opencv:
Users that are interested in arm-neon-opencv are comparing it to the libraries listed below
- MTCNN light + SORT tracking☆43Updated 4 years ago
- SORT (A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences) and SSD face detector.☆17Updated 4 years ago
- Deep-Learn model SSD_300x300 transplante to TensorRT(Nvidia Jetson Tx2)☆11Updated 6 years ago
- C++ deepsort on tensorflow☆18Updated 4 years ago
- This a bridge for converting torch,and other AI training framework to C++ speed up infer library,like NCNN and ect☆20Updated 5 years ago
- toybrick rknn multithread c demo frame work☆20Updated 4 years ago
- Real-time iris detector. Only need 8ms on Intel i5 CPU!☆21Updated 5 years ago
- Lane detection model for mobile device via MNN project☆75Updated 4 years ago
- custom plugin for tensorrt, include pRelu, leakyRelu, Slice...☆9Updated 5 years ago
- MNN MTCNN C++☆50Updated 5 years ago
- ☆11Updated 5 years ago
- Implementation of YOLO and IOU tracker in C++☆17Updated 3 years ago
- Tengine example for run nnie devices☆30Updated 4 years ago
- mobileNet SSD 基于caffe的前向检测☆10Updated 6 years ago
- 用pytorch训练ssd,相比原版pytorch-ssd改动了不少☆11Updated 2 years ago
- Sample projects for InferenceHelper, a Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN,…☆20Updated 2 years ago
- ☆34Updated 6 years ago
- MobileNet-SSD Face Detection by ncnn☆21Updated 6 years ago
- efficient header for third-party libs☆12Updated 2 years ago
- An optical flow and Kalman Filter based tracker☆44Updated 6 years ago
- This repository has moved. The new link can be obtained from https://github.com/TexasInstruments/jacinto-ai-devkit☆64Updated 4 years ago
- ☆29Updated 5 years ago
- mobilenet-ssd snpe demo☆40Updated 3 years ago
- the C++ version of solov2 with ncnn☆76Updated 3 years ago
- ☆16Updated 5 years ago
- 移动端快速人脸检测模型是基于RetinaFace的优化去掉stride8以及stride32和stride16的landmark 在CPU位Intel(R) Pentium(R) CPU G2020 @ 2.90GHz(2900 MHz)的设备中人脸检测可达到40ms/帧☆15Updated 5 years ago
- An MTCNN based face detection and an optical-flow based tracking running in two threads.☆35Updated 6 years ago
- Real time face recognition with tracking (mtcnn detection, kcf tracker, arcface loss)☆38Updated 5 years ago
- From pytorch-mobilenetv3 to caffe☆15Updated 5 years ago
- Yolo(including yolov1 yolov2 yolov3)running on caffe windows. Anyone that is not familiar with linux can use this project to learn caffe …☆17Updated 6 years ago