ZHEQIUSHUI

ZHEQIUSHUI

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AXERA-TECH

ZHEQIUSHUI's repositories

SAM-ONNX-AX650-CPP

SAM and lama inpaint,包含QT的GUI交互界面,实现了交互式可实时显示结果的画点、画框进行SAM,然后通过进行Inpaint,具体操作看readme里的视频。

CLIP-ONNX-AX650-CPP

c++实现的clip推理,模型有一点点改动,但是不大,改动和导出模型的代码可以在readme里找到,模型文件都在Releases里,包括AX650的模型。新增支持ChineseCLIP

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RTSP

c++ RTSP Client/Server - win32/linux/android

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whisper.cpp

Port of OpenAI's Whisper model in C/C++

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RtspServer

RTSP Server , RTSP Pusher

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lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

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ax-models

A collection of pre-compiled, state-of-the-art models in the AXera‘s format

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ax-pipeline

The Pipeline example based on AXear-Pi (AX620A) shows the software development skills of ISP, Image Processing, NPU, Encoding, and Display modules, which is helpful for users to develop their own multimedia applications.

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ax-samples

Samples code for world class Artificial Intelligence SoCs for computer vision applications.

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BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

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Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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Cream-TinyClip-ONNX-EXPORT

This is a collection of our NAS and Vision Transformer work.

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crnn_plate_recognition

crnn chinese_plate_recognition

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CVPR2023-Papers-with-Code

CVPR 2023 论文和开源项目合集

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dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

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fhs-install-v2ray

Bash script for installing V2Ray in operating systems such as Debian / CentOS / Fedora / openSUSE that support systemd

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GroundingDINO-ONNX-EXPORT

simplifier model arch,add onnx export

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live555helper

Helper for live555

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PIPNet

Efficient facial landmark detector

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RepViT

RepViT: Revisiting Mobile CNN From ViT Perspective

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segment-anything-noeinsum

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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TcpServer

Crossplatform Multi-threading TCP/IP Server

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tiny-tensorrt

Deploy your model with TensorRT quickly. 快速使用TensorRT来部署模型

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yolov7_plate

yolov7 车牌检测 车牌识别 中文车牌识别 检测 支持双层车牌 支持12种中文车牌

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