HANDS-FREE / facenet_demo
a ros node using face_net do face_recognition
☆12Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for facenet_demo
- A simple Chinese LPR(License Plate Recognition) implementation and use less than one thousand lines of code.☆36Updated 7 years ago
- This is a simple demonstration for running Tensorflow inception v3 model on TensorRT☆12Updated 6 years ago
- mobileNet SSD 基于caffe的前向检测☆10Updated 5 years ago
- Make the training data for yolov2, this code will output the label file for every picture.☆11Updated 4 years ago
- plate☆12Updated 5 years ago
- convert pytorch trained yolo model to ncnn for Flexible deployment☆10Updated 6 years ago
- A ROS package implementing the OpenCV HOG pedestrian detector and HAAR face detector.☆28Updated 7 years ago
- Fast accurate realtime segmentation with DeepLabV3 and MobileNetV2 backbone☆25Updated 5 years ago
- Qt5 + Darknet/Yolo + OpenCV3☆22Updated 7 years ago
- 极速检测标注工具An efficient tool for objection detection annotation☆72Updated 4 years ago
- 基于粒子 滤波算法实现多目标实时跟踪☆40Updated 6 years ago
- Small library for working with rotated rectangle shaped image regions.☆16Updated 7 years ago
- A Train Test demo of maskrcnn_opencv☆12Updated 5 years ago
- This object Tracker algorithm is a TLD(Long-term tracker) tracker base on KCF or DSST.☆45Updated 6 years ago
- Deep-Learn model SSD_300x300 transplante to TensorRT(Nvidia Jetson Tx2)☆11Updated 5 years ago
- 兼容主流海康和雄迈IPC的适用于C++和python的帧数据获取接口☆55Updated 5 years ago
- Sample use cases in OpenCV 🎨☆42Updated 8 years ago
- a simple Bag-of-Features framework for image classification and retrieval☆16Updated 6 years ago
- 用mtcnn检测人脸，使用kcf进行人脸跟踪☆19Updated 5 years ago
- TLD：tracking-learning-detection 跟踪算法☆46Updated 7 years ago
- Implement MTCNN for face detection and landmark localization in ncnn framework☆19Updated 6 years ago
- ☆16Updated 4 years ago
- Car Detection in tensorflow☆17Updated 6 years ago
- face recognize based on tvm☆19Updated 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
- ☆32Updated 2 years ago
- How to train and verify mobilenet by using voc pascal data in caffe ssd?☆25Updated 6 years ago