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	* colors expression by KMean algorithm * object detection by imageai * object detection by cvlib * add encapsulation of object detection * remove encapsulation of objdetect v0 * objects expression to dict * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * added imageai to requirements * add objects to dictionary * update for AnalysisMethod baseline * add objects dection support explore_analysis display * extend python version of misinf to allow imageai * account for older python * use global functionality for dict to csv convert * update for docker build * docker will build now but ipywidgets still not working * test code * include test data folder in repo * add some sample images * load cvs labels to dict * add test data * retrigger checks * add map to human coding * get orders from dict, missing dep * add module to test accuracy * retrigger checks * retrigger checks * now removing imageai * removed imageai * move labelmanager to analyse * multiple faces in mydict * fix pre-commit issues * map mydict * hide imageai * objects default using cvlib, isolate and disable imageai * correct python version * refactor faces tests * refactor objects tests * sonarcloud issues * refactor utils tests * address code smells * update readme * update notebook without imageai Co-authored-by: Ma Xianghe <825074348@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: iulusoy <inga.ulusoy@uni-heidelberg.de>
		
			
				
	
	
		
			78 строки
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			78 строки
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import cv2
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import cvlib as cv
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def objects_from_cvlib(objects_list: list) -> dict:
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    objects = init_default_objects()
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    for key in objects:
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        if key in objects_list:
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            objects[key] = "yes"
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    return objects
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def init_default_objects():
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    objects = {
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        "person": "no",
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        "bicycle": "no",
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        "car": "no",
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        "motorcycle": "no",
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        "airplane": "no",
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        "bus": "no",
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        "train": "no",
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        "truck": "no",
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        "boat": "no",
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        "traffic light": "no",
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        "cell phone": "no",
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    }
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    return objects
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class ObjectsMethod:
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    """Base class to be inherited by all objects methods."""
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    def __init__(self):
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        # initialize in child class
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        pass
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    def analyse_image(self, subdict):
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        raise NotImplementedError()
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class ObjectCVLib(ObjectsMethod):
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    def __init__(self, client_type=1):
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        # as long as imageai is not activated this remains empty
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        pass
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    def detect_objects_cvlib(self, image_path):
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        """Localize objects in the local image.
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        Args:
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        image_path: The path to the local file.
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        """
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        img = cv2.imread(image_path)
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        bbox, label, conf = cv.detect_common_objects(img)
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        # output_image = draw_bbox(im, bbox, label, conf)
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        objects = objects_from_cvlib(label)
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        return objects
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    def analyse_image_from_file(self, image_path):
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        """Localize objects in the local image.
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        Args:
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        image_path: The path to the local file.
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        """
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        objects = self.detect_objects_cvlib(image_path)
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        return objects
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    def analyse_image(self, subdict):
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        """Localize objects in the local image.
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        Args:
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        subdict: The dictionary for an image expression instance.
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        """
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        objects = self.analyse_image_from_file(subdict["filename"])
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        for key in objects:
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            subdict[key] = objects[key]
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        return subdict
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