!pip install tensorflow numpy scipy pillow matplotlib h5py
keras
!pip install opencv-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 ,
"image.png"), output_image_path=os.path.join(execution_path ,
"image2new.jpg"), minimum_percentage_probability=30)
for eachObject in detections:
print(eachObject["name"] , " : ",
eachObject["percentage_probability"])
print("--------------------------------")
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