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June 19, 2018 07:23
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''' | |
Editor: Ahan M R | |
Date: 18-06-2018 | |
Python 3.6.0 | |
''' | |
#PS1 CROWD DETECTION IN THE SITUATION | |
''' | |
From imageAI API, we import Object detection and use it to detect the object classes in the image | |
''' | |
from imageai.Detection import ObjectDetection | |
import os | |
#os.getcwd gets the current working directory of the image | |
execution_path = os.getcwd() | |
detection = ObjectDetection() | |
detection.setModelTypeAsRetinaNet() | |
detection.setModelPath( os.path.join(execution_path , "resnet50_coco_best_v2.0.1.h5")) | |
detection.loadModel() | |
detections = detection.detectObjectsFromImage(input_image=os.path.join(execution_path , "image.jpg"), output_image_path=os.path.join(execution_path , "imagenew.jpg")) | |
for eachObject in detections: | |
print(eachObject["name"] + " : " + eachObject["percentage_probability"] ) |
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