hebangwen Goto Github PK

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

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

bcdedit

BCD editor - Windows Boot Configuration Data

centernet

Object detection, 3D detection, and pose estimation using center point detection:

clash.meta

A rule-based tunnel in Go.

coco-datasets-visualization-tools

Coco datasets Visualization.

config

Custom configurations

cplusplusthings

C++那些事

cuda_freshman

cvpr-2020-self-rain-removal

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

dabnn-example

Android demo for dabnn

deeplabv3plus-pytorch

DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes

deraindrop

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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

gc-net-tensorflow

GCNet: End-to-End Learning of Geometry and Context for Deep Stereo Regression (Tensorflow Implementation)

handinteraction3d

hebangwen

hebangwen.github.io

custom blog

image-anti-ocr

indepthopensourcecode

Code and dataset for InDepth IMWUT 2022 submission.

java-chatting-room

learn-cuda-programming

Learn CUDA Programming, published by Packt

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow