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Initial commit
Browse files- README.md +3 -4
- app.py +59 -0
- requirements.txt +18 -0
README.md
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---
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title:
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emoji:
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colorFrom: purple
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.4
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Anime Pose Estimator
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emoji: π
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colorFrom: purple
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.4
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import os
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os.system("pip install gradio==3.4")
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import gradio as gr
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os.system("pip install 'git+https://github.com/facebookresearch/detectron2.git'")
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os.system("git clone https://github.com/kivantium/bizarre-pose-estimator.git")
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os.chdir("bizarre-pose-estimator")
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os.system("wget https://i.imgur.com/IkJzlaE.jpeg")
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os.system("gdown https://drive.google.com/uc?id=1qhnBmMdDTC_8kmNj4u2f_Htfvg6KuE14")
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os.system("unzip bizarre_pose_models.zip")
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os.system("cp -a ./bizarre_pose_models/. .")
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import urllib.request
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from urllib.parse import urlparse
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import json
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def inference(img):
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os.system("python3 -m _scripts.pose_retrieval "+img)
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with open("./_samples/results.json") as f:
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result = json.load(f)
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html = '''
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<table>
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'''
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chunk_size = 4
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for i in range(0, len(result), chunk_size):
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chunk = result[i:i+chunk_size]
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html += '<tr>\n'
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for row in chunk:
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try:
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data_raw = urllib.request.urlopen(f'https://danbooru.donmai.us/posts/{row["danbooru_id"]}.json')
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data = json.load(data_raw)
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html += f'<td><a href=\"https://danbooru.donmai.us/posts/{row["danbooru_id"]}\" target="_blank" rel="noopener noreferrer"><img src=\"{data["preview_file_url"]}\"></a></td>'
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except Exception as e:
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pass
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html += '</tr>'
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html += '</table>'
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return (html, "./_samples/character_pose_estim.png")
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title = "danbooru-pose-search"
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description = "Gradio demo for Danbooru search based on pose similarity"
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2108.01819' target='_blank'>Transfer Learning for Pose Estimation of Illustrated Characters</a> | <a href='https://github.com/ShuhongChen/bizarre-pose-estimator' target='_blank'>Github Repo</a></p>"
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gr.Interface(
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inference,
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gr.inputs.Image(type="filepath", label="Input"),
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[gr.HTML(label="Result"), gr.outputs.Image(type="file", label="Estimated Pose")],
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title=title,
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description=description,
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article=article,
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allow_flagging="never",
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enable_queue=True
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).launch()
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requirements.txt
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pytorch-lightning
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kornia
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gdown
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torchvision
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torch
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matplotlib==3.5.0
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scipy==1.7.1
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scikit-learn==1.0.1
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scikit-image==0.18.3
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imagesize==1.3.0
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flask==2.0.2
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patool==1.12
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easydict==1.9
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Pillow
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opencv-python-headless
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