mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
Siddharth Kumar Sah
a9e3b96887
Downloads all rembg models (6), RealESRGAN_x4plus.pth weights, PaddleOCR models for all 7 supported languages, verifies MediaPipe bundles its face detection models. Runs a final smoke test importing every ML library. Any failure exits non-zero, failing the Docker build.
122 lines
3.8 KiB
Python
122 lines
3.8 KiB
Python
"""Pre-download and verify all ML models for the Docker image.
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This script runs at Docker build time. Any failure exits non-zero,
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failing the build. No silent fallbacks.
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"""
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import os
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import sys
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import urllib.request
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REALESRGAN_MODEL_DIR = "/opt/models/realesrgan"
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REALESRGAN_MODEL_URL = (
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"https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
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)
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REALESRGAN_MODEL_PATH = os.path.join(REALESRGAN_MODEL_DIR, "RealESRGAN_x4plus.pth")
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REALESRGAN_MIN_SIZE = 60_000_000 # ~67 MB
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REMBG_MODELS = [
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"u2net",
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"isnet-general-use",
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"bria-rmbg",
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"birefnet-general-lite",
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"birefnet-portrait",
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"birefnet-general",
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]
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PADDLEOCR_LANGUAGES = ["en", "de", "fr", "es", "zh", "ja", "ko"]
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def download_rembg_models():
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"""Download all rembg ONNX models."""
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print("=== Downloading rembg models ===")
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from rembg import new_session
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for model in REMBG_MODELS:
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print(f" Downloading {model}...")
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new_session(model)
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print(f" {model} ready")
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print(f"All {len(REMBG_MODELS)} rembg models downloaded.\n")
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def download_realesrgan_model():
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"""Download RealESRGAN_x4plus.pth pretrained weights."""
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print("=== Downloading RealESRGAN model ===")
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os.makedirs(REALESRGAN_MODEL_DIR, exist_ok=True)
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print(f" Downloading from {REALESRGAN_MODEL_URL}...")
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urllib.request.urlretrieve(REALESRGAN_MODEL_URL, REALESRGAN_MODEL_PATH)
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size = os.path.getsize(REALESRGAN_MODEL_PATH)
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assert size > REALESRGAN_MIN_SIZE, (
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f"RealESRGAN model too small: {size} bytes (expected > {REALESRGAN_MIN_SIZE})"
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)
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print(f" RealESRGAN_x4plus.pth downloaded ({size / 1_000_000:.1f} MB)\n")
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def download_paddleocr_models():
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"""Pre-download PaddleOCR models for all supported languages."""
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print("=== Downloading PaddleOCR models ===")
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os.environ["PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK"] = "True"
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from paddleocr import PaddleOCR
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for lang in PADDLEOCR_LANGUAGES:
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print(f" Downloading models for lang={lang}...")
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PaddleOCR(lang=lang, use_gpu=False, show_log=False)
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print(f" {lang} ready")
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print(f"All {len(PADDLEOCR_LANGUAGES)} PaddleOCR languages downloaded.\n")
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def verify_mediapipe():
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"""Verify MediaPipe face detection models are bundled in the wheel."""
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print("=== Verifying MediaPipe models ===")
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import mediapipe as mp
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for selection in [0, 1]:
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label = "short-range" if selection == 0 else "full-range"
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print(f" Verifying {label} model (selection={selection})...")
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detector = mp.solutions.face_detection.FaceDetection(
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model_selection=selection, min_detection_confidence=0.5
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)
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detector.close()
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print(f" {label} model OK")
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print("MediaPipe models verified.\n")
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def smoke_test():
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"""Final verification that all ML libraries and models are loadable."""
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print("=== Running smoke test ===")
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from rembg import new_session
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from realesrgan import RealESRGANer
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from basicsr.archs.rrdbnet_arch import RRDBNet
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from paddleocr import PaddleOCR
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import mediapipe as mp
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import cv2
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import numpy
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from PIL import Image
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import seam_carving
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assert os.path.exists(REALESRGAN_MODEL_PATH), (
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f"RealESRGAN model missing: {REALESRGAN_MODEL_PATH}"
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)
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assert os.path.getsize(REALESRGAN_MODEL_PATH) > REALESRGAN_MIN_SIZE, (
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"RealESRGAN model file is too small"
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)
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print(" All imports OK")
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print(" RealESRGAN model file verified")
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print("Smoke test passed.\n")
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def main():
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print("Pre-downloading all ML models...\n")
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download_rembg_models()
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download_realesrgan_model()
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download_paddleocr_models()
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verify_mediapipe()
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smoke_test()
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print("All models downloaded and verified.")
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if __name__ == "__main__":
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main()
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