ImageAI实时检测自定义对象（自己训练的数据）

import cv2,os
from imageai.Detection.Custom import CustomObjectDetection
 
execution_path = os.getcwd()


detector = CustomObjectDetection()
detector.setModelTypeAsYOLOv3()
detector.setModelPath("hololens-ex-60--loss-2.76.h5")
detector.setJsonPath("detection_config.json")
detector.loadModel()
 
# Create a VideoCapture object and read from input file
# If the input is the camera, pass 0 instead of the video file name
cap = cv2.VideoCapture('holo1.mp4')

# Check if camera opened successfully
if (cap.isOpened()== False):
  print("Error opening video stream or file")
 
# Read until video is completed
while (cap.isOpened()):
    # Capture frame-by-frame
    ret, frame = cap.read()
    if ret == True:
        returned_image, detections = detector.detectObjectsFromImage(input_image=frame,input_type='array', output_type='array', minimum_percentage_probability=30)
        # Display the resulting frame
        for detection in detections:
            print(detection["name"], " : ", detection["percentage_probability"], " : ", detection["box_points"])
        cv2.imshow('Frame', returned_image)
        # Press Q on keyboard to  exit
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
 
    # Break the loop
    else:
        break
 
# When everything done, release the video capture object
cap.release()
 
# Closes all the frames
cv2.destroyAllWindows()