Pinned Repositories
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
3DMPPE_ROOTNET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
AnyNet
(ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices
arcore-depth-lab
ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)
BatteryML
bcdedit
BCD editor - Windows Boot Configuration Data
mobilestereonet
Lightweight stereo matching network based on MobileNet blocks
ORTSegDemo
Minimal java code that uses dummy input to perform ONNXRuntime inference
PaddleTorchParameterTransferer
transfer torch parameters into paddle parameters
hebangwen's Repositories
hebangwen/AnyNet
(ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices
hebangwen/bcdedit
BCD editor - Windows Boot Configuration Data
hebangwen/mobilestereonet
Lightweight stereo matching network based on MobileNet blocks
hebangwen/BatteryML
hebangwen/bazel-0.13.0-compile-commands-extractor
Goal: Enable awesome tooling for Bazel users of the C language family. Mainly used for Bazel 0.13.0
hebangwen/Clash.Meta
A rule-based tunnel in Go.
hebangwen/Coco-datasets-Visualization-tools
Coco datasets Visualization.
hebangwen/config
Custom configurations
hebangwen/CUDA_Freshman
hebangwen/fastllm
纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行
hebangwen/hebangwen
hebangwen/hebangwen.github.io
custom blog
hebangwen/InDepthOpenSourceCode
Code and dataset for InDepth IMWUT 2022 submission.
hebangwen/Learn-CUDA-Programming
Learn CUDA Programming, published by Packt
hebangwen/mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
hebangwen/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
hebangwen/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
hebangwen/MNNLogDebug
hebangwen/multiBranchModel
Multi-branch model for concurrent execution
hebangwen/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
hebangwen/Paddle2ONNX
ONNX Model Exporter for PaddlePaddle
hebangwen/parallel101-course
高性能并行编程与优化 - 课件
hebangwen/parallel101-hw02
高性能并行编程与优化 - 第02讲的回家作业
hebangwen/parallel101-hw03
高性能并行编程与优化 - 回家作业03
hebangwen/parallel101-hw04
hebangwen/parallel101-hw05
hebangwen/parallel101-hw06
hebangwen/parallel101-hw11
第11课回家作业
hebangwen/Real-time-self-adaptive-deep-stereo
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
hebangwen/uTensor
TinyML AI inference library