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Watermark Removal

Watermark Removal is a Python image-inpainting project that uses machine learning to reconstruct areas of images covered by watermarks. Its README documents running the image-processing workflow in Docker with a separately downloaded model directory.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Watermark Removal — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to try the repository's local Docker workflow on an image and can obtain the model directory separately.

Who it is for

  • Developers who want a documented Docker-based workflow for watermark removal.
  • Users comfortable supplying image paths, a model checkpoint and container-mounted folders.

Documented uses

  • Process an image by attempting to reconstruct the region covered by a watermark.
  • Build and run the documented image-processing workflow in a Docker container.
Before you choose

Requirements & limits

  • The Docker workflow requires a separate model-directory download.
  • The README marks its Google Colab instructions as broken.
  • The project identifies TensorFlow 1.15.0; the Colab instructions specifically discuss downgrading from TensorFlow 2.x and installing neuralgym.
  • Inpainting reconstructs obscured content, so output fidelity is not assured by the repository's stated goal.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Run watermark removal with Docker

Build the repository's Docker image and use its documented command structure to process an image.

Before you start

  • Docker
  • A local clone of the repository
  • The model directory downloaded from the link in the README
  • An input image and paths for the input and output folders

Steps

  1. Clone the repository and build its Docker image from the repository root with the command below.

    Documented command
    docker build -t watermark-removal .

  2. Download the model directory using the link provided in the README.

  3. Run the container with the model, input and output folders mounted, specifying the checkpoint directory, input image, output path and watermark type as shown in the README.

Expected outcome

The documented command is intended to write a processed image to the specified output path.

Guide limitations

  • The model directory is downloaded separately from the repository.
  • The README documents istock as the watermark-type example; it does not establish support for other watermark types.
  • The repository does not promise that every reconstruction will match the original image.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
zuruoke/watermark-removal · Official homepage title · retained in its source language
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