Reputation: 1
I trained a model with RetinaNet Detectron2 on colab. The training is successful but i am unable to test it on images.
Code:
from detectron2.utils.visualizer import ColorMode
import glob
for imageName in glob.glob('/content/drive/My Drive/Detectron/test/*jpg'):
print(imageName)
im = cv2.imread(imageName)
outputs = predictor(im)
v = Visualizer(im[:, :, ::-1],
metadata=test_metadata,
scale=0.8,
instance_mode=ColorMode.IMAGE_BW
)
out = v.draw_instance_predictions(outputs["instances"].to("cpu"))
cv2_imshow(out.get_image()[:, :, ::-1])
Error:
/content/drive/My Drive/Detectron/test/wh_dresscode_4969_jpg.rf.5a2702518691d3d6f9cef7ad7977e5c8.jpg data type: <class 'detectron2.structures.instances.Instances'> AttributeError Traceback (most recent call last)
AttributeError: Cannot find field 'pred_masks' in the given Instances!
Upvotes: 0
Views: 2300
Reputation: 1584
it seems that your model was trained to predict only bounding boxes; that is you do not predict segmentations masks as in maskrcnn. If that is the case, you can remove instance_mode=ColorMode.IMAGE_BW
from Visualizer
Upvotes: 0