Class: CloudmersiveOcrApiClient::PreprocessingApi
- Inherits:
-
Object
- Object
- CloudmersiveOcrApiClient::PreprocessingApi
- Defined in:
- lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb
Instance Attribute Summary collapse
-
#api_client ⇒ Object
Returns the value of attribute api_client.
Instance Method Summary collapse
-
#initialize(api_client = ApiClient.default) ⇒ PreprocessingApi
constructor
A new instance of PreprocessingApi.
-
#preprocessing_binarize(image_file, opts = {}) ⇒ String
Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.
-
#preprocessing_binarize_advanced(image_file, opts = {}) ⇒ String
Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations.
-
#preprocessing_binarize_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations.
-
#preprocessing_binarize_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.
-
#preprocessing_get_page_angle(image_file, opts = {}) ⇒ GetPageAngleResult
Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.
-
#preprocessing_get_page_angle_with_http_info(image_file, opts = {}) ⇒ Array<(GetPageAngleResult, Fixnum, Hash)>
Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.
-
#preprocessing_unrotate(image_file, opts = {}) ⇒ String
Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle).
-
#preprocessing_unrotate_advanced(image_file, opts = {}) ⇒ String
Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning.
-
#preprocessing_unrotate_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning.
-
#preprocessing_unrotate_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle).
-
#preprocessing_unskew(image_file, opts = {}) ⇒ String
Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image.
-
#preprocessing_unskew_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image.
Constructor Details
#initialize(api_client = ApiClient.default) ⇒ PreprocessingApi
Returns a new instance of PreprocessingApi.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 19 def initialize(api_client = ApiClient.default) @api_client = api_client end |
Instance Attribute Details
#api_client ⇒ Object
Returns the value of attribute api_client.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 17 def api_client @api_client end |
Instance Method Details
#preprocessing_binarize(image_file, opts = {}) ⇒ String
Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 27 def preprocessing_binarize(image_file, opts = {}) data, _status_code, _headers = preprocessing_binarize_with_http_info(image_file, opts) data end |
#preprocessing_binarize_advanced(image_file, opts = {}) ⇒ String
Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations. Provides enhanced accuracy than adaptive binarization. Image will be upsampled to 300 DPI if it has a DPI below 300.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 82 def preprocessing_binarize_advanced(image_file, opts = {}) data, _status_code, _headers = preprocessing_binarize_advanced_with_http_info(image_file, opts) data end |
#preprocessing_binarize_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations. Provides enhanced accuracy than adaptive binarization. Image will be upsampled to 300 DPI if it has a DPI below 300.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 92 def preprocessing_binarize_advanced_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_binarize_advanced ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_binarize_advanced" end # resource path local_var_path = '/ocr/preprocessing/image/binarize/advanced' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'String') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_binarize_advanced\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |
#preprocessing_binarize_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 37 def preprocessing_binarize_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_binarize ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_binarize" end # resource path local_var_path = '/ocr/preprocessing/image/binarize' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'String') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_binarize\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |
#preprocessing_get_page_angle(image_file, opts = {}) ⇒ GetPageAngleResult
Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 137 def preprocessing_get_page_angle(image_file, opts = {}) data, _status_code, _headers = preprocessing_get_page_angle_with_http_info(image_file, opts) data end |
#preprocessing_get_page_angle_with_http_info(image_file, opts = {}) ⇒ Array<(GetPageAngleResult, Fixnum, Hash)>
Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 147 def preprocessing_get_page_angle_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_get_page_angle ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_get_page_angle" end # resource path local_var_path = '/ocr/preprocessing/image/get-page-angle' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'GetPageAngleResult') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_get_page_angle\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |
#preprocessing_unrotate(image_file, opts = {}) ⇒ String
Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle). Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 192 def preprocessing_unrotate(image_file, opts = {}) data, _status_code, _headers = preprocessing_unrotate_with_http_info(image_file, opts) data end |
#preprocessing_unrotate_advanced(image_file, opts = {}) ⇒ String
Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 247 def preprocessing_unrotate_advanced(image_file, opts = {}) data, _status_code, _headers = preprocessing_unrotate_advanced_with_http_info(image_file, opts) data end |
#preprocessing_unrotate_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 257 def preprocessing_unrotate_advanced_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unrotate_advanced ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unrotate_advanced" end # resource path local_var_path = '/ocr/preprocessing/image/unrotate/advanced' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'String') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unrotate_advanced\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |
#preprocessing_unrotate_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle). Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 202 def preprocessing_unrotate_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unrotate ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unrotate" end # resource path local_var_path = '/ocr/preprocessing/image/unrotate' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'String') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unrotate\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |
#preprocessing_unskew(image_file, opts = {}) ⇒ String
Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 302 def preprocessing_unskew(image_file, opts = {}) data, _status_code, _headers = preprocessing_unskew_with_http_info(image_file, opts) data end |
#preprocessing_unskew_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>
Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.
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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 312 def preprocessing_unskew_with_http_info(image_file, opts = {}) if @api_client.config.debugging @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unskew ...' end # verify the required parameter 'image_file' is set if @api_client.config.client_side_validation && image_file.nil? fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unskew" end # resource path local_var_path = '/ocr/preprocessing/image/unskew' # query parameters query_params = {} # header parameters header_params = {} # HTTP header 'Accept' (if needed) header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml']) # HTTP header 'Content-Type' header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data']) # form parameters form_params = {} form_params['imageFile'] = image_file # http body (model) post_body = nil auth_names = ['Apikey'] data, status_code, headers = @api_client.call_api(:POST, local_var_path, :header_params => header_params, :query_params => query_params, :form_params => form_params, :body => post_body, :auth_names => auth_names, :return_type => 'String') if @api_client.config.debugging @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unskew\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}" end return data, status_code, headers end |