Standardizing 250 car photos a week without Photoshop (a 20‑line Python job)

说明与用途

使用20行Python脚本自动化每周250张汽车照片的标准化，无需Photoshop：利用API去除背景、添加阴影并隐藏车牌，确保统一外观。

问题

Dealership photos have inconsistent backgrounds, making listings look unprofessional and confusing.

结果

Processed ~250 car photos weekly in under 20 lines of Python, achieving consistent backgrounds and drop shadows without Photoshop.

工作流

• 1. Set API key and endpoint URL. 2. Choose mode (e.g., fg-image-shadow). 3. Define source (inbox) and destination (ready) directories. 4. Create destination directory if it doesn’t exist. 5. Loop over each JPG in the source folder. 6. POST image to API with mode and API key. 7. Check response status; if not ok, log and skip. 8. Extract base64 PNG from entities where kind=="image". 9. Decode base64 and write PNG to destination. 10. Log conversion. 11. Optionally run the loop in a ThreadPoolExecutor for parallelism.

证据

Requests are independent, so for a few hundred cars wrap the loop body in a ThreadPoolExecutor and run 8–16 at a time.

来源

an image the service can't read still comes back as HTTP 200.

来源