zhangjf2018's repositories
frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
disruptor
High Performance Inter-Thread Messaging Library
FastSAM
Fast Segment Anything
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
yolov5_Deepsort_rknn
Track vehicles and persons on rk3588 / rk3399pro.
rk3399PRO
AI algorithm on RK3399Pro
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
mlu_video
mlu270
yolov7-pose_Npoint_Ncla
基于yoloV7-pose添加任意个关键点和检测目标多分类
edgeai-yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
kubeasz
使用Ansible脚本安装K8S集群，介绍组件交互原理，方便直接，不受国内网络环境影响
OpenFace
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
blind_watermark
Blind/Invisible Watermark （图片盲水印，提取水印无须原图！）
CH341SER
CH341SER driver with fixed bug
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
pyod
(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
interview_internal_reference
2021年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
PatchCore_anomaly_detection
Unofficial implementation of PatchCore anomaly detection
ncnn-android-yolox
Real time yolox Android demo by ncnn
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
mobilenet-yolov4-lite-pytorch
这是一个mobilenet-yolov4-lite的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。