How to make inference on multiple images?

[claudio9russo7]

i have trained the model, now i would like to use it to detect objects in many images. I saw that the defaultpredictor allows you to detect only on an image, what can I do?

I need to make something like this:
%cd /kaggle/working/detectron2
import glob

cfg.MODEL.WEIGHTS = os.path.join("/kaggle/working/detectron2/output", "model_final.pth") # path to the model we trained
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.0001 # set a testing threshold
pred = DefaultPredictor(cfg)
#os.chdir("/kaggle/working/detectron2/images")
#for img in glob.glob('.jpg'):
#inputs = cv2.imread(img)
#outputs = pred(inputs)
#print(outputs)
inputs = cv2.imread("/kaggle/working/detectron2/images/73-ab1.jpg")
outputs = pred(inputs)
print(outputs)

[claudio9russo7]

Solved in this way

%cd /kaggle/working/detectron2
import glob
cfg.MODEL.WEIGHTS = os.path.join("/kaggle/working/detectron2/output", "model_final.pth") # path to the model we trained
cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.0001 # set a testing threshold
pred = DefaultPredictor(cfg)
for img in glob.glob('/kaggle/working/detectron2/images/*.jpg'): #path to the images
inputs = cv2.imread(img)
outputs = pred(inputs)
print(outputs)