Running result of demo/demo.py:
[11/16 21:14:27 detectron2]: ../test_img/8/x2.tif: detected 100 instances in 3.65s
Hello, when the number of instances in the test picture I used exceeds 100, the result of running blendmask can only predict 100 instances, and the target of instances outside 100 instances cannot be predicted and segmented. However, when I cut the test picture until the number of instances is less than 100, all instances in the picture can be segmented by prediction.
How can I modify the code to increase the upper limit of the prediction instance?
Running result of demo/demo.py: [11/16 21:14:27 detectron2]: ../test_img/8/x2.tif: detected 100 instances in 3.65s
Hello, when the number of instances in the test picture I used exceeds 100, the result of running blendmask can only predict 100 instances, and the target of instances outside 100 instances cannot be predicted and segmented. However, when I cut the test picture until the number of instances is less than 100, all instances in the picture can be segmented by prediction.
How can I modify the code to increase the upper limit of the prediction instance?