Answergeng's starred repositories
EfficientPS
PyTorch code for training EfficientPS for Panoptic Segmentation
bdd100k-models
Model Zoo of BDD100K Dataset
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
StrongSORT
[TMM 2023] StrongSORT: Make DeepSORT Great Again
Bilibili-plus
课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB
yolox-pytorch
这是一个yolox-pytorch的源码，可以用于训练自己的模型。
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
jetson-packages-family
The ultimate software installation guide for Nvidia Jetson Nano/Xavier Dev Kit
mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
open-images-dataset
Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.
lanenet-lane-detection-pytorch
Unofficial implemention of lanenet model for real time lane detection Pytorch Version
FXXS-Encode-Guide
FXXS压制教程
lane_segmentation
Robust Highway Lane Segmentation Based on LaneNet Trained BDD100K
Lane-Detection-Based-PINet
the project use PINet as lane detector, supporting training on [VIL-100](https://github.com/yujun0-0/MMA-Net/tree/main/dataset). At the same time, the project supports model conversion, including onnx and caffe formats, as well as model forward acceleration processing before model deployment.Model forward acceleration mainly includes model cutting, simplification and merge batchnorm layer. Meanwhile, it includes the verification and comparison of the conformance after the model conversion.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pytorch-lanenet
LaneNet implementation in PyTorch