An Minh Hùng's Projects
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
Calculate mean Average Precision (mAP) and confusion matrix for object detection models. Bounding box information for groundtruth and prediction is YOLO training dataset format.
🔥🔥🔥 YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR , YOLOv3, YOLOv4 and other networks... Support to improve backbone, head, loss, IoU, NMS and other modules
YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、TensorRT、NCNN、Tengine、OpenVINO
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
使用YOLOv5和LPRNet进行车牌检测+识别(CCPD数据集)
Real-time multi-object tracker using YOLO v5 and deep sort
🍅 移动端部署,支持YOLOv5s、YOLOv4-tiny、MobileNetV2-YOLOv3-nano、Simple-Pose与Yolact模型,支持iOS、Android,使用NCNN框架。
yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测
YOLOv6: a single-stage object detection framework dedicated to industrial application.
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
yolov7 face detection with landmark
YoloV7 for a bare Raspberry Pi using ncnn.
Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet
YOLOX is a high-performance anchor-free YOLO. Exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and Openvino supported.