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Browse files- app.py +30 -0
- requirements.txt +9 -0
app.py
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import git
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git_url = "https://github.com/ariG23498/clip_dinoiser.git"
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repo_dir = "clip_dinoiser"
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git.Repo.clone_from(git_url, repo_dir)
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import os
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from clip_dinoiser.models.builder import build_model
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from clip_dinoiser.utils.visualization import mask2rgb
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from clip_dinoiser.segmentation.datasets import PascalVOCDataset
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from hydra import compose, initialize
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from PIL import Image
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import matplotlib.pyplot as plt
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from torchvision import transforms as T
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import torch.nn.functional as F
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import numpy as np
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from operator import itemgetter
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import torch
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import warnings
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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requirements.txt
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torch==2.1.0+cu121
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gradio
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gitpython
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ftfy
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omegaconf
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open_clip_torch
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hydra-core
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mmcv==1.3.8
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mmsegmentation==0.14.1
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