obj_detection/imageAi.py

from imageai.Detection import ObjectDetection
import os

execution_path = os.getcwd()
detector = ObjectDetection()
detector.setModelTypeAsYOLOv3()
# detector.setModelTypeAsRetinaNet()
detector.setModelPath(os.path.join(execution_path , 'yolo.h5'))
detector.loadModel()

detections = detector.detectObjectsFromImage(input_image=os.path.join(execution_path , 'cap20190925_074847D_6.jpg'),
                                             output_image_path=os.path.join(execution_path,
                                                                            'image2new.jpg'),
                                             minimum_percentage_probability=50)

print(detections, end='\n')
for eachObject in detections:
    print(eachObject['name'] , ' : ', eachObject['percentage_probability'])
    # print("--------------------------------")