(isBarcodeDetectionSupported || isBarcodeGenerationSupported ||
isFaceRecognitionSupported || isImageRecognitionSupported ||
isInferenceImageSupported || isInferenceFaceSupported) ?
- LOGI("system_info_get_platform_bool returned"
+ LOGI("system_info_get_platform_bool returned "
"Supported one feature among barcode detection, "
"barcode generation, face recognition, "
"image recognition, and inference capability\n") :
- LOGE("system_info_get_platform_bool returned"
+ LOGE("system_info_get_platform_bool returned "
"Unsupported all features of barcode detection, "
"barcode generation, face recognition, "
"image recognition, inference capability\n") ;
* @brief Bind a backend engine
* @details Use this function to bind a backend engine for the inference.
* This creates a inference engine common class object, and loads a backend
- * library which inferfaces with a Neural Network runtime such as TF Lite,
+ * library which interfaces with a Neural Network runtime such as TF Lite,
* OpenCV, ARMNN and so on.
*
* Ps. The created inference engine common object will be released and its