sample_mlsequence.ini

Sample mlconfig for article

use_sequence = yes

ml_sequence= {
                'general': {
                        'model_sequence': 'object,face,alpr'

                },
                'object': {
                        'general':{
                                'pattern':'(person)',
                                'same_model_sequence_strategy': 'first' # also 'most', 'most_unique's
                        },
                        'sequence': [{
                                #First run on TPU with higher confidence
                                'object_weights':'{{base_data_path}}/models/coral_edgetpu/ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite',
                                'object_labels': '{{base_data_path}}/models/coral_edgetpu/coco_indexed.names',
                                'object_min_confidence': 0.6,
                                'object_framework':'coral_edgetpu'
                        },
                        {
                                # YoloV4 on GPU if TPU fails (because sequence strategy is 'first')
                                'object_config':'{{base_data_path}}/models/yolov4/yolov4.cfg',
                                'object_weights':'{{base_data_path}}/models/yolov4/yolov4.weights',
                                'object_labels': '{{base_data_path}}/models/yolov4/coco.names',
                                'object_min_confidence': 0.3,
                                'object_framework':'opencv',
                                'object_processor': 'gpu'
                        }]
                },
                'face': {
                        'general':{
                                'pattern': '.*',
                                'same_model_sequence_strategy': 'first'
                        },
                        'sequence': [{
                                'face_detection_framework': 'dlib',
                                'known_images_path': '{{base_data_path}}/known_faces',
                                'face_model': 'cnn',
                                'face_train_model': 'cnn',
                                'face_recog_dist_threshold': 0.6,
                                'face_num_jitters': 1,
                                'face_upsample_times':1
                        }]
                },

                'alpr': {
                        'general':{
                                'same_model_sequence_strategy': 'first',
                                'pre_existing_labels':['car', 'motorbike', 'bus', 'truck', 'boat'],

                        },
                        'sequence': [{
                                'alpr_api_type': 'cloud',
                                'alpr_service': 'plate_recognizer',
                                'alpr_key': '!PLATEREC_ALPR_KEY',
                                'platrec_stats': 'no',
                                'platerec_min_dscore': 0.1,
                                'platerec_min_score': 0.2,
                        }]
                }
        }
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