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https://github.com/azaion/detections.git
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47 lines
2.1 KiB
Cython
47 lines
2.1 KiB
Cython
from ai_availability_status cimport AIAvailabilityStatus
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from annotation cimport Annotation, Detection
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from ai_config cimport AIRecognitionConfig
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from engines.inference_engine cimport InferenceEngine
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cdef class Inference:
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cdef object loader_client
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cdef InferenceEngine engine
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cdef object _annotation_callback
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cdef object _status_callback
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cdef Annotation _previous_annotation
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cdef dict[str, list(Detection)] _tile_detections
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cdef dict[str, int] detection_counts
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cdef AIRecognitionConfig ai_config
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cdef bint stop_signal
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cdef public AIAvailabilityStatus ai_availability_status
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cdef str model_input
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cdef int model_width
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cdef int model_height
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cdef bytes _converted_model_bytes
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cdef bytes get_onnx_engine_bytes(self)
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cdef convert_and_upload_model(self, bytes onnx_engine_bytes, str engine_filename)
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cdef init_ai(self)
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cdef bint is_building_engine
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cdef bint is_video(self, str filepath)
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cpdef run_detect(self, dict config_dict, object annotation_callback, object status_callback=*)
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cpdef list detect_single_image(self, bytes image_bytes, dict config_dict)
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cdef _process_video(self, AIRecognitionConfig ai_config, str video_name)
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cdef _process_images(self, AIRecognitionConfig ai_config, list[str] image_paths)
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cdef _process_images_inner(self, AIRecognitionConfig ai_config, list frame_data, double ground_sampling_distance)
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cdef on_annotation(self, Annotation annotation, int frame_count=*, int total_frames=*)
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cdef split_to_tiles(self, frame, path, tile_size, overlap_percent)
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cpdef stop(self)
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cdef preprocess(self, frames)
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cdef send_detection_status(self)
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cdef remove_overlapping_detections(self, list[Detection] detections, float confidence_threshold=?)
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cdef postprocess(self, output, ai_config)
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cdef split_list_extend(self, lst, chunk_size)
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cdef bint is_valid_video_annotation(self, Annotation annotation, AIRecognitionConfig ai_config)
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cdef bint is_valid_image_annotation(self, Annotation annotation, double ground_sampling_distance, frame_shape)
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cdef remove_tiled_duplicates(self, Annotation annotation)
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