API Structure Front End : Python Model

[AdarshRevankar]

Structure in which parameters will be sent, either in Django or Flask, Update here with details. This is further required how model must handle that and process further.
@shubham298 Please do interact with @Akshaya520 to implement this.

@Akshaya520 Please do research about Flask & Django, Decide and inform which suits best for our application.

[AdarshRevankar]

This is the current Architecture of the PhotoGAN. Please do refer to this architecture as it contains information that has to be passed.

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1. Front-end to Pre-Processor
Segmentation Label Image + Name
Style Image ID

2. Pre-Processor to Model
Segmenetation Map + Style Image + Instance Image
Directory Information

3. Model to Front-End
Output Image Path

[AdarshRevankar]

@shubham298 I have obtained the solution from your repository Flask GAN Application. Further development can be added to the current repository

[AdarshRevankar]

@shubham298 please do add OnClick image saving feature, to the front-end JS

[AdarshRevankar]

#6 Is the initial interfaced build, where

• Communication between Web Interface to Python Back End
• Canvas drawing is converted to base64 information and API Request is sent to the Python BackEnd.
• The API Request contains a JSON Object having filename, style_index, ImageData64.
• We extract all the information by indexing with request.values[index]
• Here then these base64 bytes are transformed to binary using binascii.a2b_base64 library
• This binary information is stored in the local storage

This is the current web interface view