SoulmateB's repositories
MaskTheFace
Convert face dataset to masked dataset
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deeplite-torch-zoo
Collection of state of the art deep learning architectures, training pipelines and pre-trained models.
deployOnnxGraphOpt
About project deployment onnx graph optimization.
LaneATT
Code of the paper entitled "Keep your Eyes on the Lane: Attention-guided Lane Detection"
LFD-A-Light-and-Fast-Detector
LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.
LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
License-Plate-Detector
基于Yolov5车牌检测,更快更准.
LSTR
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
MobileFaceNet_TF
Tensorflow implementation for MobileFaceNet
models
Models and examples built with TensorFlow
onnx-simplifier
Simplify your onnx model
Paddle2ONNX
ONNX Model Exporter for PaddlePaddle
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
resa
Implementation of our paper 'RESA: Recurrent Feature-Shift Aggregator for Lane Detection' in AAAI2021.
RONELD-Lane-Detection
Python implementation of RONELD method (ICPR 2020)
Ultra-Fast-Lane-Detection-v2
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
YOLOv4-MultiTask
YOLOv4-MultiTask for Pytorch
yolov5_onnx2caffe
yolov5 onnx caffe
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/