pandamax

pandamax's repositories

Parse_Curvelanes

parse curvelanes datasets

Language:Python38 3 3

parse_vil100

for parsing and converting dataset vil100.

Language:PythonMIT9 20

current-lane-drivable

本项目采用的网络模型为mask-rcnn，代码主要来源于开源项目[matterport project](https://github.com/matterport/Mask_RCNN)。

Language:PythonApache-2.05 20

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.

Language:PythonMIT5 20

awesome-embedded-ai

【WeChat: NeuroMem】. Weekly report and awesome list of embedded-ai.

MIT1 10

toy-classification-pytorch

carrier of tricks for image classification tutorials using pytorch.

Language:PythonMIT1 10

apollo

An open autonomous driving platform

Language:C++Apache-2.0010

awesome-c-cn

C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。

010

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

010

Classifier

Classifier by pytorch

Language:Python010

cmake-examples

Useful CMake Examples

Language:CMakeMIT010

cmake_examples

Practical, Easy-to-copy CMake examples

Language:C++MIT010

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Language:JavaScriptNOASSERTION010

cvml_project

Projects and application using computer vision and machine learning

Language:PythonMIT010

deepvac

PyTorch python project standard.

Language:PythonGPL-3.0010

fritz-models

Train and deploy machine learning models for mobile apps with Fritz.

Language:PythonMIT010

HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

Unlicense010

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Language:PythonNOASSERTION010