Metadata-Version: 2.1
Name: Google-Images-Search
Version: 1.0.0
Summary: Search for image using Google Custom Search API and resize & crop the image afterwords
Home-page: https://github.com/arrrlo/Google-Images-Search
Author: Ivan Arar
Author-email: ivan.arar@gmail.com
License: MIT
Project-URL: Source, https://github.com/arrrlo/Google-Images-Search
Description: # Google Images Search
        
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        ## Installation
        
        Before you continue you need to setup your Google developers account and project:  
        
        [https://console.developers.google.com](https://console.developers.google.com)
        (Among all of the Google APIs enable "Custom Search API" for your project)
        
        [https://cse.google.com/cse/all](https://cse.google.com/cse/all)
        (In the web form where you create/edit your custom search engine enable "Image search" option and and for "Sites to search" option select "Search the entire web but emphasize included sites")
        
        After setting up you Google developers account and project you should have your developers API key and project CX
        
        Install package from pypi.org:  
        
        ```bash
        > pip install Google-Images-Search
        ```
        
        ## CLI usage
        
        ```bash
        # without environment variables:
        
        > gimages -k __your_dev_api_key__ -c __your_project_cx__ search -q puppies
        ```
        
        ```bash
        # with environment variables:
        
        > export GCS_DEVELOPER_KEY=__your_dev_api_key__
        > export GCS_CX=__your_project_cx__
        >
        > gimages search -q puppies
        ```
        
        ```bash
        # search only (no download and resize):
        
        > gimages search -q puppies
        ```
        
        ```bash
        # search and download only (no resize):
        
        > gimages search -q puppies -d /path/on/your/drive/where/images/should/be/downloaded
        ```
        
        ```bash
        # search, download and resize:
        
        > gimages search -q puppies -d /path/ -w 500 -h 500
        ```
        
        ## Programmatic usage
        
        ```python
        from google_images_search import GoogleImagesSearch
        
        # if you don't enter api key and cx, the package will try to search
        # them from environment variables GCS_DEVELOPER_KEY and GCS_CX
        gis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')
        
        # example: GoogleImagesSearch('ABcDeFGhiJKLmnopqweRty5asdfghGfdSaS4abC', '012345678987654321012:abcde_fghij')
        
        #define search params:
        _search_params = {
            'q': '...',
            'num': 1-50,
            'safe': 'high|medium|off',
            'fileType': 'jpg|gif|png',
            'imgType': 'clipart|face|lineart|news|photo',
            'imgSize': 'huge|icon|large|medium|small|xlarge|xxlarge',
            'imgDominantColor': 'black|blue|brown|gray|green|pink|purple|teal|white|yellow'
        }
        
        # this will only search for images:
        gis.search(search_params=_search_params)
        
        # this will search and download:
        gis.search(search_params=_search_params, path_to_dir='/path/')
        
        # this will search, download and resize:
        gis.search(search_params=_search_params, path_to_dir='/path/', width=500, height=500)
        
        # search first, then download and resize afterwards
        gis.search(search_params=_search_params)
        for image in gis.results():
            image.download('/path/')
            image.resize(500, 500)
        ```
        
        ## Inserting custom progressbar function
        
        ```python
        from google_images_search import GoogleImagesSearch
        
        def my_progressbar(url, progress):
            print(url + ' ' + progress + '%')
        
        gis = GoogleImagesSearch(
            'your_dev_api_key', 'your_project_cx', progressbar_fn=my_progressbar
        )
        
        ...
        ```
        
        ## Saving to a BytesIO object
        
        ```python
        from google_images_search import GoogleImagesSearch
        from io import BytesIO
        from PIL import Image
        
        # in this case we're using PIL to keep the BytesIO as an image object
        # this way we don't have to wait for disk save / write times
        # the image is simply kept in memory
        # this example should display 3 pictures of puppies!
        
        gis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')
        
        my_bytes_io = BytesIO()
        
        gis.search({'q': 'puppies', 'num': 3})
        for image in gis.results():
            # here we tell the BytesIO object to go back to address 0
            my_bytes_io.seek(0)
        
            # take raw image data
            raw_image_data = image.get_raw_data()
        
            # this function writes the raw image data to the object
            image.copy_to(my_bytes_io, raw_image_data)
        
            # or without the raw data which will be automatically taken
            # inside the copy_to() method
            image.copy_to(my_bytes_io)
        
            # we go back to address 0 again so PIL can read it from start to finish
            my_bytes_io.seek(0)
        
            # create a temporary image object
            temp_img = Image.open(my_bytes_io)
            
            # show it in the default system photo viewer
            temp_img.show()
        ```
        
Keywords: google images,resize,crop
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
