python-backend/tensor.py
2019-02-09 22:54:21 -06:00

15 lines
538 B
Python

from imageai.Detection import ObjectDetection
import os
execution_path = os.getcwd()
detector = ObjectDetection()
detector.setModelTypeAsRetinaNet()
detector.setModelPath(os.path.join(execution_path, "resnet50_coco_best_v2.0.1.h5"))
detector.loadModel()
detections = detector.detectObjectsFromImage(input_image=os.path.join(execution_path, "ai_image.jpg"), output_image_path=os.path.join(execution_path , "ai_image.out.jpg"))
for eachObject in detections:
print(eachObject["name"] , " : " , eachObject["percentage_probability"] )