https://github.com/alejoduarte23/context_cam_clone

This tool reads EXIF metadata from images and creates custom overlays. It scans a folder for images, generates an Excel template for user input, and applies overlays to the images. Processed images are saved in a specified output folder.
https://github.com/alejoduarte23/context_cam_clone

openpyxl pandas piexif pillow

Last synced: about 2 months ago
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This tool reads EXIF metadata from images and creates custom overlays. It scans a folder for images, generates an Excel template for user input, and applies overlays to the images. Processed images are saved in a specified output folder.

• Host: GitHub
• URL: https://github.com/alejoduarte23/context_cam_clone
• Owner: AlejoDuarte23
• Created: 2024-03-20T15:32:57.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-29T21:50:43.000Z (5 months ago)
• Last Synced: 2024-07-30T03:38:17.186Z (5 months ago)
• Topics: openpyxl, pandas, piexif, pillow
• Language: Python
• Homepage:
• Size: 23.6 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
## Tool Description

This tool reads the EXIF metadata from an image and creates an overlay on top of it with custom fields. It also scans a folder with multiple images and creates an Excel file with the following columns:

- `image_path`

- `glocation`

- `component`

- `defect_line1`

- `defect_line2`

- `idd`

- `rotation`

The user then inputs the `glocation`, `component`, and other fields, and the overlay is applied to all images listed in the Excel file.

![Usage Example](data/usage_example.png)

## Usage Instructions

1. **Define Picture Directory**

    ```python

    directory = r"test"

    ```

2. **Define a Path to Create an Excel File with All Image File Paths and Template**

    ```python

    excel_path = r"data\defects.xlsx"

    ```

3. **Run scan_and_write_excel to Create an Excel File to Input the Text Fields**

    ```python

    scan_and_write_excel(directory, excel_path)

    ```

4. **Fill the Excel with `image_path`, `glocation`, `component`, `defect_line1`, `defect_line2`, `idd`, and `rotation`**

5. **Run the Following to Process Images and Apply Overlays**

    ```python

    process_images_from_excel_with_rotation(excel_path, output_folder=r"results")

    ```

6. **Check the `results` Folder for the New Images with Applied Overlays**