TEED: Tiny and Efficient Edge Detector
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Updated
Oct 6, 2023 - Python
TEED: Tiny and Efficient Edge Detector
Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'
Code for the paper: "Modular Neural Image Signal Processing". A modular neural ISP with interpretable stages, multi-style rendering, cross-camera generalization, and post-editable re-rendering with an interactive photo editor.
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
Dress up your code with a beautiful graphical user interface !
轻量化自然语言数据库查询工具,支持多轮对话完善查询目标,精确输出SQL查询语句、执行查询、数据分析并返回自然语言结果。A lightweight system enbales multiple rounds of chat to transfer natural language into SQL query, execute query, perform data analysis and return analysis results.
Lightweight and flexible plugin framework for Python.
A lightweight crawling/spider framework for everyone(support JavaScript!).:sparkles:
A mordernized ViT-Adapter under maintenance. No old and heavy libraries, just the latest pytorch and mordern packages.
A Malware which records Key-presses, Clipboard & System Information, Chrome History, Microphone Audio, Gathers File Information, Takes Screenshots & Records Video. It supports data encryption, file transfer, runtime logging and data cleanup. We have a lightweight fused obfuscation framework to evade static and dynamic analysis of anti-malware tools
IEEE TIP 2020-Context-Integrated and Feature-Refined Network for Lightweight Object Parsing
A lightweight Python web framework for building APIs. Simple by design, loyal to your codebase.
An efficiency and lightweight single-image dehazing network. CVPRw2020
ICCV 2021 Workshop: MIA-COV19D : A lightweight automated solution for COVID-19 diagnosis using image processing techniques and Convolutional Neural Networks
终端无限,故事可见
read/write data anywhere, Lightweight ETL tool
[MDPI Sensors] Official PyTorch Implementation of "PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution"
A deep learning-powered web application designed to diagnose plant diseases from leaf images, utilizing Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize the areas of the leaf that influenced the model's decision.
A lightweight Python mini-framework for building fast, scalable APIs.
Digestion Algorithm in Hierarchical Symbolic Forests: A Fast Text Normalization Algorithm and Semantic Parsing Framework for Specific Scenarios and Lightweight Deployment
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