TensorFlowLiteAPI

API for Image Classification based on https://lobe.ai

use your own model by binding the folder /api/models from docker

inspired by: https://github.com/jomjol/docker-synology-opencv-tensorflow-lite

TensorFLowLite without support the avx extension, can run on synology with intel processor

http://127.0.0.1:8000/redoc - api docs

http://127.0.0.1:8000/process - api

uvicorn server:app - start server

basic functionality:

GET /process query parameters:

• [Optional] model - name of the folder that contains the model
• [Required] url - the URL of the image to be processed
• [Optional] token - in case a token is needed in order to access the image

Output - JSON:

• url - the URL that was processed
• name - the temporary name of the processed file
• result:
  • Prediction - the result of the process
  • Confidences - accuracy of the result in float32