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# =====================================================
# ProxyCLIP TPAMI - Conda 环境配置
# =====================================================
# 使用方法:
# conda env create -f environment.yml
# conda activate proxyclip_tpami
#
# # 然后安装本地包
# cd .. && pip install -e clipself/ -e segment_anything/ -e imagecorruptions/
# =====================================================
name: proxyclip_tpami
channels:
- pytorch
- nvidia
- conda-forge
- defaults
dependencies:
- python=3.10
# PyTorch (CUDA 11.8)
# 如果需要其他 CUDA 版本,请修改这里
- pytorch=2.0.0
- torchvision=0.15.1
- pytorch-cuda=11.8
# 基础科学计算
- numpy>=1.24.0,<2.0.0
- scipy>=1.10.0
- pandas>=2.0.0
# 图像处理
- pillow>=9.4.0
- scikit-image>=0.18.0
# 工具
- pyyaml>=6.0
- tqdm>=4.65.0
- rich>=13.0.0
# pip 安装的包
- pip
- pip:
# MMSeg 生态系统
- mmcv==2.1.0
- mmengine==0.10.4
- mmsegmentation==1.2.2
# CLIP & 视觉模型
- ftfy>=6.1.0
- regex>=2024.0.0
- timm>=1.0.0
- einops>=0.8.0
- sentencepiece>=0.2.0
- protobuf>=3.20.0,<4.0.0
- huggingface-hub>=0.20.0
# 图像处理
- opencv-python>=4.8.0
# 数据处理
- openpyxl>=3.1.0
- addict>=2.4.0
- yapf>=0.40.0
# 其他
- termcolor>=2.0.0
- terminaltables>=3.1.0
- pycocotools>=2.0.7