hoanhle / Vehicle-Type-Detection
TAU Vehicle Type Recognition Competition
☆18Updated 5 years ago
Alternatives and similar repositories for Vehicle-Type-Detection:
Users that are interested in Vehicle-Type-Detection are comparing it to the libraries listed below
- Deep Learning based Face Anti-Spoofing☆52Updated 4 years ago
- ☆10Updated 5 years ago
- FSANet: 1 Mb!! Head Pose Estimation with MNN、TNN and ONNXRuntime C++.☆17Updated 3 years ago
- Retinaface人脸检测网络 MNN、NCNN嵌入式,Linux端推理源码,包含一个卡通人脸检测的模型,脚本一键构建可执行程序☆24Updated 3 years ago
- Pure tensorflow Implement of YOLOv3 with support to train your own dataset☆18Updated 6 years ago
- scrfd使用onnxruntime-gpu跟tensorrt加速☆23Updated 3 years ago
- PyTorch implementation of MobileFaceNets☆19Updated 5 years ago
- SCRFD face detection based on MNN inference framework☆17Updated 3 years ago
- ☆15Updated 2 years ago
- Unofficial Pytorch implementation of BlazeFace☆42Updated 4 years ago
- the C++ version of thundernet with ncnn☆14Updated 4 years ago
- ☆34Updated 6 years ago
- ☆14Updated 3 years ago
- A new version YOLO-Nano☆31Updated 3 years ago
- -☆13Updated 4 years ago
- facenet-pytorch + DeepSORT☆15Updated last year
- Clear Face is python project with C++ library for tracking faces and multiple models detection from faces☆31Updated last year
- Towards Real-Time Multi-Object Tracking☆29Updated 3 years ago
- ☆79Updated 3 years ago
- Implementation of YOLO and IOU tracker in C++☆17Updated 3 years ago
- train Snet(by thundernet) in imagenet☆18Updated 5 years ago
- Rank-consistent Oridinal Regression☆17Updated 5 years ago
- ☆19Updated 4 years ago
- A re-implementation of PFLD, https://arxiv.org/abs/1902.10859☆45Updated 5 years ago
- Human segmentation project(pytorch)☆29Updated 4 years ago
- PyTorch code for ICIP 2022 paper "A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification"☆34Updated 9 months ago
- mobileNet SSD 基于caffe的前向检测☆10Updated 6 years ago
- Face recognition using Tensorflow☆11Updated 6 years ago
- 使用ONNXRuntime部署YOLOV7人脸+关键点检测,包含C++和Python两个版本的程序☆52Updated 2 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