This sample shows Images for ResNet50 in tensorflow Keras to identify photos
1.1K
1.Pull docker images:
docker pull qeekdev/aipredict
2.Create new container:
docker run -d -it --restart=always --name=Predict -p 8082:8082 -e KERAS_BACKEND=tensorflow qeekdev/aipredict
3.API GET Test:
curl -X GET --header 'Accept: application/json' 'http://127.0.0.1:8082/api/v1/analyze/image/tag'
4.Using tesnsorflow and keras for image prediction:
curl -X POST -H "Content-Type: multipart/form-data" -F file=@./1.jpg 'http://127.0.0.1:8082/api/v1/analyze/image/tag'
Swagger document: http://127.0.0.1:8082/api/v1/
Content type
Image
Digest
Size
1.3 GB
Last updated
over 8 years ago
docker pull qeekdev/aipredict