cntk-image-recon

CNTK Image Recognition

This service uses CNTK Image Recognition to perform image recognition on photos.

It is part of our third party DNN Model Services.

Getting Started

Requirements

• Python 3.6.5
• SNET CLI
• Pre-trained models (dogs and flowers)

Development

Clone this repository and download the models using the get_cntk_models.sh script:

$ git clone https://github.com/singnet/dnn-model-services.git
$ cd dnn-model-services/utils
$ ./get_cntk_models.sh
$ ls -la Resources/Models
total 458416
drwxrwxr-x 2 user user      4096 Nov  8 08:49 .
drwxrwxr-x 3 user user      4096 Nov  8 08:49 ..
-rw-rw-r-- 1 user user 234830033 Ago 28 17:28 dogs_ResNet152_20.model
-rw-rw-r-- 1 user user 234574954 Ago 28 15:57 flowers_ResNet152_20.model
$ cd ../services/cntk-image-recon

Running the service:

To get the ORGANIZATION_ID and SERVICE_ID you must have already published a service (check this link).

Create the SNET Daemon's config JSON file (snetd.config.json).

{
   "DAEMON_END_POINT": "DAEMON_HOST:DAEMON_PORT",
   "IPFS_END_POINT": "http://ipfs.singularitynet.io:80",
   "BLOCKCHAIN_NETWORK_SELECTED": "BLOCKCHAIN_NETWORK",
   "PASSTHROUGH_ENDPOINT": "http://SERVICE_GRPC_HOST:SERVICE_GRPC_PORT",  
   "ORGANIZATION_ID": "ORGANIZATION_ID",
   "SERVICE_ID": "SERVICE_ID",
   "LOG": {
       "LEVEL": "debug",
       "OUTPUT": {
            "TYPE": "stdout"
           }
   }
}

For example (using the Ropsten testnet):

$ cat snetd.config.json
{
   "DAEMON_END_POINT": "0.0.0.0:7054",
   "IPFS_END_POINT": "http://ipfs.singularitynet.io:80",
   "BLOCKCHAIN_NETWORK_SELECTED": "ropsten",
   "PASSTHROUGH_ENDPOINT": "http://localhost:7003",
   "ORGANIZATION_ID": "snet",
   "SERVICE_ID": "cntk-image-recon",
   "LOG": {
       "LEVEL": "debug",
       "OUTPUT": {
           "TYPE": "stdout"
           }
   }
}

Note that we set DAEMON_HOST = 0.0.0.0 because this service will run inside a Docker container.

Install all dependencies:

$ pip3 install -r requirements.txt

Generate the gRPC codes:

$ sh buildproto.sh

Start the service and SNET Daemon:

$ python3 run_service.py

Calling the service:

Inputs:

• gRPC method: flowers or dogs.
• model: DNN Model ("ResNet152").
• img_path: An image URL.

Local (testing purpose):

$ python3 test_service.py 
Endpoint (localhost:7003): 
Method (flowers|dogs): flowers
Model (ResNet152): <ENTER>
Image (Link): https://www.fiftyflowers.com/site_files/FiftyFlowers/Image/Product/Mini-Black-Eye-bloom-350_c7d02e72.jpg
1.8751
{1: '98.93%: sunflower', 2: '00.64%: black-eyed susan', 3: '00.16%: barbeton daisy', 4: '00.14%: oxeye daisy', 5: '00.03%: daffodil'}

$ python3 test_service.py 
Endpoint (localhost:7003): 
Method (flowers|dogs): dogs
Model (ResNet152): <ENTER>
Image (Link): https://cdn2-www.dogtime.com/assets/uploads/2011/01/file_22950_standard-schnauzer-460x290.jpg
1.5280
{1: '99.83%: Miniature_schnauzer', 2: '00.09%: Alaskan_malamute', 3: '00.05%: Giant_schnauzer', 4: '00.01%: Bouvier_des_flandres', 5: '00.01%: Lowchen'}

Through SingularityNET (follow this link to learn how to publish a service and open a payment channel to be able to call it):

Assuming that you have an open channel to this service:

$ snet client call snet cntk-image-recon default_group flowers '{"model": "ResNet152", "img_path": "https://www.fiftyflowers.com/site_files/FiftyFlowers/Image/Product/Mini-Black-Eye-bloom-350_c7d02e72.jpg"}'
Price for this call will be 0.00000001 AGI (use -y to remove this warning). Proceed? (y/n): y
delta_time: "2.5509"
top_5: "{1: \'98.93%: sunflower\', 2: \'00.64%: black-eyed susan\', 3: \'00.16%: barbeton daisy\', 4: \'00.14%: oxeye daisy\', 5: \'00.03%: daffodil\'}"

Contributing and Reporting Issues

Please read our guidelines before submitting an issue. If your issue is a bug, please use the bug template pre-populated here. For feature requests and queries you can use this template.

Authors

• Artur Gontijo - Maintainer - SingularityNET