runauto's repositories
cvat
Powerful and efficient Computer Vision Annotation Tool (CVAT)
automl
Google Brain AutoML
CVPR2020-Code
CVPR 2020 论文开源项目合集
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
CDCN
Central Difference Convolutional Networks
retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
FaceMaskDetection
人脸口罩检测 Detect faces and determine whether people are wearing mask.
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
NAS-Projects
11 neural architecture search algorithms implemented in PyTorch.
LPRNet_Pytorch
Pytorch Implementation For LPRNet, A High Performance And Lightweight License Plate Recognition Framework.
Awesome-NAS
A curated list of neural architecture search (NAS) resources.
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
tensorrt-inference-server
The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.
torch2trt-1
An easy to use PyTorch to TensorRT converter
Awesome-Crowd-Counting
Awesome Crowd Counting
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
EfficientNet-RetinaNet
Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.
CenterFace
face detection
awesome-cbir-papers
📝Awesome and classical image retrieval papers
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Key.Net
Code for the ICCV19 paper Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
awesome-lane-detection
A paper list of lane detection.
PytorchSSD-HarDNet
achieves 35.1 mAP while as fast as SSD-vgg16
ICCV19-GluonCV
Tutorial Materials for ICCV19
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
deep-head-pose
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.