FiveAPlus-Network

(★ 74)

BMVC'23 | FiveA+Network: You Only Need 9K Parameters for Underwater Image Enhancement

오너의 다른 레포

Kontext-Lora-Trainer ★ 67

설명이 없습니다.

Python
Image-quality-measure-method ★ 61

This repository contains frequently used method:UCIQE/UIQM/PSNR/SSIM/MSE by python.

MATLAB
ECCV22-Perceiving-and-Modeling-Density-for-Image-Dehazing ★ 59

ECCV'22 Oral | Perceiving and Modeling Density for Single Image Dehazing.

Python
Head-Detection-Yolov8 ★ 57

This repo provides a YOLOv8 model, finely trained for detecting human heads in complex crowd scenes, with the CrowdHuman dataset serving as training data. To boost accessibility and compatibility, I've reconstructed the labels in the CrowdHuman dataset, refining its annotations to perfectly match the YOLO format.

Python
LongPrompt-LLamaGen ★ 30

This repository provides an improved LLamaGen Model, fine-tuned on 500,000 high-quality images, each accompanied by over 300 token prompts. And it's also powered by additional prompt refining features for improved performance.

Python
NightHazeFormer ★ 28

ACM MM'23 | The office repository of NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer

파일 탐색기

ZIP 다운로드
  • .DS_Store
  • README.md
  • runtime_compute.py
  • test.py
  • train.py

# CDN으로 사용하기

jsDelivr

jsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.

링크
예시

명령어 용어집

이 문서에서 사용된 명령어를 모아봤습니다. 낯선 명령어가 있다면 펼쳐서 확인해보세요.

🔍

conda activate

설명 보기 ▼

Activate a conda environment.
See also: `conda deactivate`.

conda activate myenv

Activate an existing environment named `myenv`:

conda activate {{path/to/myenv}}

Activate an existing environment located at custom path:

conda activate --stack myenv

Stack `myenv` environment on top of a previous environment making libraries/commands/variables from both accessible:

🔍

conda create

설명 보기 ▼

Create new conda environments.

conda create {{[-y|--yes]}} {{[-n|--name]}} py39 python=3.9 "numpy>=1.11" scipy

Create a new environment named `py39`, install Python 3.9, NumPy v1.11 or above in it, and the latest stable version of SciPy. Say yes to all confirmations:

conda create {{[-n|--name]}} myenv --file {{file1.yml}} --file {{file2.yml}}

Create a new environment named `myenv` and install packages listed in files:

conda create {{[-p|--prefix]}} {{path/to/myenv}}

Create a new environment at a custom path (i.e. prefix):

🔍

pip install

설명 보기 ▼

Install Python packages.

pip install {{package1 package2 ...}}

Install one or more packages:

pip install {{package1 package2 ...}} {{[-U|--upgrade]}}

Upgrade all specified packages to the latest version, installing any that are not already present:

pip install {{package}}=={{version}}

Install a specific version of a package:

🔍

python3

설명 보기 ▼

이 명령은 `python`의 별칭입니다.

tldr python

자세한 내용은 원본 명령을 참고하세요:

// repository documentation