mapo80

"""
Quantization-Aware Training (QAT) for DocCornerNet.

This script fine-tunes a pre-trained model with fake quantization to simulate
INT8 quantization effects during training, resulting in a model that maintains
accuracy after INT8 conversion.

Usage:
    python train_qat.py --checkpoint checkpoints/doccornernet_v2/best.pth \
                        --output_dir checkpoints/doccornernet_qat \

mapo80

###############################################################################
# LibreOffice master + .NET bindings – tail autogen.log on error (bash shell)
###############################################################################

#############################
# STAGE 1 ▸ builder
#############################
FROM ubuntu:22.04 AS builder
SHELL ["/bin/bash", "-c"]         # <── usa bash per tutti i RUN seguenti

mapo80

FROM mcr.microsoft.com/dotnet/aspnet:6.0 as builder

ENV DEBIAN_FRONTEND=noninteractive
ENV OPENCV_VERSION=4.7.0

WORKDIR /

# Install opencv dependencies
RUN apt-get update && apt-get -y install --no-install-recommends \
      apt-transport-https \