Command line interface for RICOH Cloud API.
$ git clone https://github.com/ricohapi/ricoh-cloud-cli.git $ cd ricoh-cloud-cli $ pip install . --find-links=git+https://github.com/ricohapi/ricoh-cloud-sdk-python.git@v0.4.0#egg=ricoh-cloud-sdk-0.4.0
You can also download RICOH Cloud CLI as a zip file from https://github.com/ricohapi/ricoh-cloud-cli/releases and unzip it to <install_dir>
.
The following settings are required in python 3 environment on Linux.
[CentOS] $ export LANG=en_US.utf-8 [Ubuntu] $ export LC_ALL=C.UTF-8 $ export LANG=C.UTF-8
See here http://click.pocoo.org/5/python3/#python-3-surrogate-handling for technical details.
rapi [global_options] <service> <command> <sub_command> [options options_argment]
[--profile <profile_name>] Use the specific profile. [--version] Show the version and exit. [-h, --help] Show help message and exit.
- Configures Client Credentials
- This command prompts you for your Client Credentials.
- You can set a name on profile so that you can manage multiple Client Credentials.
- If you do not specify any
<profile_name>
, thedefault
profile is updated. - You do not need
<command>
for this service.
rapi [global_options] vrs <command> [options options_argment]
- Accesses Visual Recognition API
- You also need to set
<command>
for this service.
rapi [global_options] ips <command> <sub_command> [options options_argment]
- Accesses Image Processing API
- You also need to set
<command>
for this service.
This command sends a Human Detection request. The API detects people in specified image.
[-i, --image] URI or local file path of image
This command sends a Face Detection request. The API detects faces in specified image.
[-i, --image] URI or local file path of image
This command sends a Face Recognition request. The API compares faces in two specified resources and returns how similar the faces are.
[-s, --source] URI or local file path of source image [-t, --target] URI or local file path of target resource (image or face collection)
This command sends a request to create a face collection.
This command sends a request to list face collections.
This command sends a request to delete a face collection.
[COLLECTION_ID] ID of the face collection.
This command sends a request to add a face to the face collection.
[-i, --image] URI or local file path of source image [COLLECTION_ID] ID of the face collection.
This command sends a request to list faces stored in the face collection.
[COLLECTION_ID] ID of the face collection.
This command sends a request for remove face from the face collection.
[--face_id] ID of the face. [COLLECTION_ID] ID of the face collection.
- Accesses filter API of Image Processing Service
- You also need to set
<sub_command>
for this command.
This sub command sends a Blur Filter request. The API applies image filters to an image using a blur filter.
[-i, --input <uri_or_filepath>] Specify the image URI or local file path. [-o, --output <filepath>] Write to file instead stdout. [-l, --location <left,top,right,bottom> Specify the location to filter with comma-separated int values. You can specify up to 100 locations, but be sure to specify at least one location. [--locations_shape [rectangle|min_enclosing_circle]] Specify the shape of locations. [--locations_edge [none|blur]] Specify the edge of locations. [-k, --ksize <width,height>] Specify the blurring kernel size with comma-separated int values.
This sub command sends a Gaussian Filter request. The API applies image filters to an image using a gaussian filter.
[-i, --input <uri_or_filepath>] Specify the image URI or local file path. [-o, --output <filepath>] Write to file instead stdout. [-l, --location <left,top,right,bottom> Specify the location to filter with comma-separated int values. You can specify up to 100 locations, but be sure to specify at least one location. [--locations_shape [rectangle|min_enclosing_circle]] Specify the shape of locations. [--locations_edge [none|blur]] Specify the edge of locations. [-k, --ksize <width,height>] Specify the gaussian kernel size with comma-separated int values. [-s, --sigma <x,y>] Specify the gaussian kernel standard deviation with comma-separated float values.
This sub command sends a Median Filter request. The API applies image filters to an image using a median filter.
[-i, --input <uri_or_filepath>] Specify the image URI or local file path. [-o, --output <filepath>] Write to file instead stdout. [-l, --location <left,top,right,bottom> Specify the location to filter with comma-separated int values. You can specify up to 100 locations, but be sure to specify at least one location. [--locations_shape [rectangle|min_enclosing_circle]] Specify the shape of locations. [--locations_edge [none|blur]] Specify the edge of locations. [-k, --ksize <size>] Specify the kernel size with int value.
RICOH Cloud CLI searches the following locations for Client Credentials:
- Environment Variables – RAPI_CLIENT_ID, RAPI_CLIENT_SECRET
- Credential file –
~/.rapi/credentials.json
(Linux, macOS or Unix) or%USERPROFILE%\.rapi\credentials.json
(Windows). You can make a credential file by runningrapi configure
.
To use RICOH Cloud API through proxy servers, configure HTTP_PROXY and HTTPS_PROXY environment variables with proxy IP addresses.
$ export HTTP_PROXY="<HOST>:<PORT>" $ export HTTPS_PROXY="<HOST>:<PORT>"
RICOH Cloud CLI offers useful command completion. To activate it, add the following line to your .bashrc:
eval "$(_RAPI_COMPLETE=source rapi)"
This command calls rapi
every time when you start your shell, which might affect the start-up time. To avoid that, you can run the following command:
$ _RAPI_COMPLETE=source rapi > rapi-complete.sh
And add the following line to your .bashrc:
. <path_to_directory>/rapi-complete.sh
- RICOH Cloud CLI currently supports command completion only for Bash.
$ rapi configure RAPI Client ID: clientId RAPI Client Secret: clientSecret $ rapi vrs compare_faces -s ./tests/images/test_3a.jpg -t ./tests/images/test_3b.jpg { "score": 0.7843703031539917, "source": { "location": { "top": 100, "right": 451, "bottom": 173, "left": 378 } }, "target": { "location": { "top": 82, "right": 285, "bottom": 140, "left": 227 } } }