Batch processing requirements
When hundreds or thousands of images with watermarks need to be processed, it is inefficient to process them individually and automated processes need to be established.
Realization of the program
- Writing batch scripts: create a Python script that traverses the directory, calling main.py in a loop to process each file
- Using multiprocess acceleration: Modify the code to realize multiprocessing parallel processing, pay attention to control the number of concurrency to avoid OOM
- Building a Docker image: Packages the entire environment into Docker containers for easy deployment to server clusters
- Setting up a monitoring mechanism: Add logs to record processing progress and failures
advanced program
For enterprise-level requirements, it is possible to 1) integrate into scheduling systems such as Airflow; 2) develop REST API interfaces; and 3) use Kubernetes for elastic scaling. The open source nature of the project allows the freedom to extend these features.
This answer comes from the articleWatermark Removal: open source image watermark removal tool, picture watermark recovery original imageThe
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