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Browse files- .dockerignore +12 -0
- .gitattributes +35 -35
- Dockerfile +49 -0
- README.md +10 -10
- app.py +87 -0
- requirements.txt +10 -10
- runtime.txt +1 -0
.dockerignore
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env/
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venv/
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Dockerfile
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# Use official Python image
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FROM python:3.10-slim
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# Disable interactive prompts
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ENV DEBIAN_FRONTEND=noninteractive
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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libsm6 \
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libxext6 \
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git \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements and install Python packages
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COPY requirements.txt .
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# Upgrade pip first and set timeout + retries
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RUN pip install --upgrade pip \
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&& pip config set global.timeout 100 \
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&& pip config set global.retries 10 \
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&& pip install --no-cache-dir -r requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Set Hugging Face cache directory
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ENV HF_HOME=/models
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ENV TRANSFORMERS_CACHE=/models/transformers
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ENV HF_DATASETS_CACHE=/models/datasets
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ENV HF_METRICS_CACHE=/models/metrics
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# Pre-download the SAM model from Hugging Face
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RUN python -c "\
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from transformers import SamModel, SamProcessor; \
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SamModel.from_pretrained('Zigeng/SlimSAM-uniform-50'); \
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SamProcessor.from_pretrained('Zigeng/SlimSAM-uniform-50')"
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# Copy all project files
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COPY . .
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# Expose port for Flask
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EXPOSE 6000
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# Run using gunicorn
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CMD ["gunicorn", "--bind", "0.0.0.0:6000", "app:app"]
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README.md
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---
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title: Virtual Try On V2
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emoji: 🦀
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colorFrom: gray
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colorTo: purple
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sdk: docker
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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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---
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title: Virtual Try On V2
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emoji: 🦀
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colorFrom: gray
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colorTo: purple
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sdk: docker
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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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from flask import Flask, render_template, request
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from PIL import Image
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import os
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import torch
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import cv2
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import mediapipe as mp
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from transformers import SamModel, SamProcessor
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from diffusers.utils import load_image
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app = Flask(__name__)
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UPLOAD_FOLDER = 'static/uploads'
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OUTPUT_FOLDER = 'static/outputs'
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# Ensure folders exist
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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os.makedirs(OUTPUT_FOLDER, exist_ok=True)
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# Load model once at startup
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model = SamModel.from_pretrained("Zigeng/SlimSAM-uniform-50")
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processor = SamProcessor.from_pretrained("Zigeng/SlimSAM-uniform-50")
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# Pose function
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def get_shoulder_coordinates(image_path):
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mp_pose = mp.solutions.pose
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pose = mp_pose.Pose()
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image = cv2.imread(image_path)
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if image is None:
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return None
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image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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results = pose.process(image_rgb)
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if results.pose_landmarks:
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height, width, _ = image.shape
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landmarks = results.pose_landmarks.landmark
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left_shoulder = (int(landmarks[11].x * width), int(landmarks[11].y * height))
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right_shoulder = (int(landmarks[12].x * width), int(landmarks[12].y * height))
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print(left_shoulder)
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print(right_shoulder)
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return left_shoulder, right_shoulder
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else:
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return None
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@app.route('/', methods=['GET', 'POST'])
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def index():
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if request.method == 'POST':
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person_file = request.files['person_image']
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tshirt_file = request.files['tshirt_image']
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person_path = os.path.join(UPLOAD_FOLDER, 'person.jpg')
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tshirt_path = os.path.join(UPLOAD_FOLDER, 'tshirt.png')
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person_file.save(person_path)
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tshirt_file.save(tshirt_path)
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# Run your model
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coordinates = get_shoulder_coordinates(person_path)
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if coordinates is None:
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return "No pose detected."
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img = load_image(person_path)
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new_tshirt = load_image(tshirt_path)
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left_shoulder, right_shoulder = coordinates
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input_points = [[[left_shoulder[0], left_shoulder[1]], [right_shoulder[0], right_shoulder[1]]]]
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inputs = processor(img, input_points=input_points, return_tensors="pt")
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outputs = model(**inputs)
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masks = processor.image_processor.post_process_masks(outputs.pred_masks.cpu(),
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inputs["original_sizes"].cpu(),
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inputs["reshaped_input_sizes"].cpu())
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mask_tensor = masks[0][0][2].to(dtype=torch.uint8)
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mask = transforms.ToPILImage()(mask_tensor * 255)
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new_tshirt = new_tshirt.resize(img.size, Image.LANCZOS)
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img_with_new_tshirt = Image.composite(new_tshirt, img, mask)
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result_path = os.path.join(OUTPUT_FOLDER, 'result.jpg')
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img_with_new_tshirt.save(result_path)
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return render_template('index.html', result_img='outputs/result.jpg')
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return render_template('index.html')
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if __name__ == '__main__':
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app.run(debug=True, host='0.0.0.0', port=6000)
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requirements.txt
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Flask
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gunicorn
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Pillow
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opencv-python
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torch
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torchvision
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mediapipe
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transformers
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diffusers
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safetensors
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Flask
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gunicorn
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Pillow
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opencv-python
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torch
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torchvision
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mediapipe
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transformers
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diffusers
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safetensors
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runtime.txt
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python-3.10.12
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