TL;DR Previous week I had worked on detecting the emotion in the profile pictures of the users, and notifying them to change the image if they do not look happy. The work is under review by the mentors. Once it gets reviewed, I would resume it if it needs any changes. This week I have worked on filling the ‘Alt Text’ field of an image file based on any one of the method selected by the end user- Label Detection, Landmark Detection, Logo Detection and Optical Character Detection.
Last week, I had worked on implementing the Face Detection feature in the Google Vision API module. The code is currently under the review by the mentors. Once, they review it, I would develop further on it if it requires any changes.
The Google Cloud Vision API provides the features to detect popular landmarks in an image(Landmark Detection), logos of popular brands(Logo Detection), texts within an image(Optical Character Detection), in addition to Label Detection. These features, though of less significance, are helpful in identifying an image. Hence, I have started working on implementing a new helpful case for the users- Filling of the Alternate Text field of an image file using these features.
The Alt Text field of the image file entity is modified to incorporate the options to fill the field using the features. The user may select any one of the four options to fill the Alt Text field of the image.
Coming to the technical aspect, I have made use of hook_form_BASE_FORM_ID_alter() to alter the Alternate Text field of the image file entity. I have modified the edit form of the Alt Text field to add four radio options, namely- Label Detection, Landmark Detection, Logo Detection and Optical Character Detection. The user may select any of the options and save the configuration. The Alternate Text field would be filled up accordingly.
Presently, the code is under the review by the mentors. Once it gets reviewed, I would make suggested changes, if required.
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