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SnapOtter/packages/ai/python/ocr.py
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stirling-imageandGitHub b0083e2b08 feat: unified Docker image with GPU auto-detection (#37)
Merge CPU, CUDA, and lite Docker images into a single unified image.
One tag (latest) works on all platforms: amd64 (NVIDIA CUDA) and arm64 (CPU).
GPU auto-detected at runtime. All ML models and packages baked in.

Key changes:
- Platform-conditional Dockerfile (nvidia/cuda on amd64, node on arm64)
- tini as PID 1 for proper signal handling
- Fix FILES_STORAGE_PATH data loss bug
- Fix RealESRGAN upscaler (was broken, always fell back to Lanczos)
- Fix PaddleOCR language codes and stdout corruption
- Simplified CI/CD (single build, single tag)
- Expanded model pre-download with verification
- Shutdown timeout, improved health endpoint
- Remove unused lama-cleaner
2026-04-10 13:21:06 +08:00

129 lines
3.9 KiB
Python

"""Text extraction from images using Tesseract or PaddleOCR."""
import sys
import json
import os
def emit_progress(percent, stage):
"""Emit structured progress to stderr for bridge.ts to capture."""
print(json.dumps({"progress": percent, "stage": stage}), file=sys.stderr, flush=True)
def run_tesseract(input_path, language):
"""Run Tesseract OCR."""
import subprocess
lang_map = {"en": "eng", "de": "deu", "fr": "fra", "es": "spa", "zh": "chi_sim", "ja": "jpn", "ko": "kor"}
tess_lang = lang_map.get(language, "eng")
emit_progress(30, "Scanning")
result = subprocess.run(
["tesseract", input_path, "stdout", "-l", tess_lang],
capture_output=True,
text=True,
timeout=120,
)
emit_progress(70, "Extracting text")
text = result.stdout.strip()
if result.returncode != 0 and not text:
raise RuntimeError(result.stderr.strip() or "Tesseract failed")
return text, "tesseract"
def run_paddleocr(input_path, language):
"""Run PaddleOCR."""
os.environ["PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK"] = "True"
# Redirect stdout to stderr so PaddleOCR download/init messages
# cannot contaminate our JSON result on stdout.
stdout_fd = os.dup(1)
os.dup2(2, 1)
try:
from paddleocr import PaddleOCR
from gpu import gpu_available
# Map API language codes to PaddleOCR codes
paddle_lang_map = {"en": "en", "de": "latin", "fr": "latin", "es": "latin", "zh": "ch", "ja": "japan", "ko": "korean"}
paddle_lang = paddle_lang_map.get(language, "en")
emit_progress(20, "Loading")
ocr = PaddleOCR(lang=paddle_lang, use_gpu=gpu_available(), show_log=False)
emit_progress(30, "Scanning")
result = ocr.ocr(input_path)
emit_progress(70, "Extracting text")
text = "\n".join(
[
line[1][0]
for res in result
if res
for line in res
if line and line[1]
]
)
finally:
# Restore stdout
os.dup2(stdout_fd, 1)
os.close(stdout_fd)
return text, "paddleocr"
def main():
input_path = sys.argv[1]
settings = json.loads(sys.argv[2]) if len(sys.argv) > 2 else {}
engine = settings.get("engine", "tesseract")
language = settings.get("language", "en")
try:
emit_progress(10, "Preparing")
if engine == "paddleocr":
try:
text, used_engine = run_paddleocr(input_path, language)
except ImportError:
print(
json.dumps(
{
"success": False,
"error": "PaddleOCR is not installed",
}
)
)
sys.exit(1)
except Exception:
# PaddleOCR failed at runtime — fall back to Tesseract
emit_progress(25, "Falling back")
try:
text, used_engine = run_tesseract(input_path, language)
except FileNotFoundError:
print(
json.dumps({"success": False, "error": "OCR engines unavailable"})
)
sys.exit(1)
else:
try:
text, used_engine = run_tesseract(input_path, language)
except FileNotFoundError:
print(
json.dumps(
{
"success": False,
"error": "Tesseract is not installed",
}
)
)
sys.exit(1)
emit_progress(95, "Done")
print(json.dumps({"success": True, "text": text, "engine": used_engine}))
except Exception as e:
print(json.dumps({"success": False, "error": str(e)}))
sys.exit(1)
if __name__ == "__main__":
main()