Closed scizors closed 3 years ago
1/ same accuracy. You should attach sample plates the SDK fails to process. 2/ https://www.doubango.org/SDKs/anpr/docs/Configuration_options.html#debug-level
Hi,
Thank you for the info please find it. I have lots of image file with same situation which the algorithm fails
[UltAlprSdkEngine] jsonConfig: {"debug_level": "warn","debug_write_input_image_enabled": false,"debug_internal_data_path": ".","num_threads": -1,"gpgpu_enabled": true,"klass_vcr_gamma": 1.5,"detect_roi": [0, 0, 0, 0],"detect_minscore": 0.1,"car_noplate_detect_min_score": 0.8,"pyramidal_search_enabled": true,"pyramidal_search_sensitivity": 1.0,"pyramidal_search_minscore": 0.3,"pyramidal_search_min_image_size_inpixels": 800,"recogn_minscore": 0.3,"recogn_score_type": "min","assets_folder": "../../../assets","charset": "latin","recogn_rectify_enabled": false,"car_noplate_detect_enabled": false,"ienv_enabled": false,"openvino_enabled": true,"openvino_device": "CPU","klass_lpci_enabled": false,"klass_vcr_enabled": false,"klass_vmmr_enabled": false,"klass_vbsr_enabled": false}
Still I am seeing *[COMPV INFO]: is there any waw to diable?
I have checked with https://www.doubango.org/webapps/alpr/ and it fails to recognize the plate. These kind of images should be easily recognized. I'm reopening this ticket and we'll check. If you can share with us more images to use in our training set then it'll help us improve the algo.
Hi, At the moment I am testing the trial version ultimateALPR-SDK in my ARM machine with German number plates C++ solution. I am using snapshot of the car numberplates inside Germany As I am getting with most of the number plates output as
*[ULTALPR_SDK INFO]: result: {"duration":4353,"frame_id":0}
I would like to know few things