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HZC's Projects

pytorch-grad-cam icon pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

qmplay2 icon qmplay2

QMPlay2 is a video and audio player which can play most formats and codecs.

qwidgetdemo icon qwidgetdemo

Qt编写的一些开源的demo,预计会有100多个,一直持续更新完善,代码简洁易懂注释详细,每个都是独立项目,非常适合初学者,代码随意传播使用,拒绝打赏和捐赠,欢迎留言评论!

rtspserver icon rtspserver

RTSP服务器,支持传输H.264和AAC格式的音视频

seaweedfs icon seaweedfs

SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding.

segment-anything icon segment-anything

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.

server icon server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

sgi-stl icon sgi-stl

剖析 STL 是一种享受的过程!

simpleserver icon simpleserver

this ia a test repository for practicing development about server

srs icon srs

SRS is a RTMP/HLS/WebRTC/SRT/GB28181 streaming cluster, high efficiency, stable and simple.

tomahawk icon tomahawk

Tomahawk, the multi-source music player

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

vlc icon vlc

VLC media player - All pull requests are ignored, please follow https://wiki.videolan.org/Sending_Patches_VLC/

webcam_yolov3_jetson_tx_hikvision icon webcam_yolov3_jetson_tx_hikvision

多个网络摄像头进行拉流以及对象检测。平台使用Jetson TX2 (ARM architecture),海康摄像头,对象检测采用YOLO v3模型。

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

yolov5-deepsort-inference icon yolov5-deepsort-inference

Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中

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