IndexError: list index out of range

[KHKHG]

-- Process 1 terminated with the following error: Traceback (most recent call last): File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 20, in _wrap fn(i, args) File "/media/user/_dev_sda6.1/AdelaiDet/detectron2/detectron2/engine/launch.py", line 94, in _distributed_worker main_func(args) File "/media/user/_dev_sda6.1/AdelaiDet/tools/train_net.py", line 201, in main return trainer.train() File "/media/user/_dev_sda6.1/AdelaiDet/tools/train_net.py", line 84, in train self.train_loop(self.start_iter, self.max_iter) File "/media/user/_dev_sda6.1/AdelaiDet/tools/train_net.py", line 74, in train_loop self.run_step() File "/media/user/_dev_sda6.1/AdelaiDet/detectron2/detectron2/engine/defaults.py", line 429, in run_step self._trainer.run_step() File "/media/user/_dev_sda6.1/AdelaiDet/detectron2/detectron2/engine/train_loop.py", line 228, in run_step loss_dict = self.model(data) File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(*input, kwargs) File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 511, in forward output = self.module(*inputs[0], *kwargs[0]) File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(input, kwargs) File "/media/user/_dev_sda6.1/AdelaiDet/adet/modeling/blendmask/blendmask.py", line 89, in forward features = self.backbone(images.tensor) File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl result = self.forward(*input, **kwargs) File "/media/user/_dev_sda6.1/AdelaiDet/detectron2/detectron2/modeling/backbone/fpn.py", line 137, in forward top_down_features = F.interpolate(prev_features, scale_factor=2.0, mode="nearest") File "/home/user/miniconda3/envs/ADNET/lib/python3.8/site-packages/torch/nn/functional.py", line 3144, in interpolate return torch._C._nn.upsample_nearest2d(input, output_size, sfl[0], sfl[1]) IndexError: list index out of range

And the Base-BlendMask.yaml just alter these parameters

SOLVER: IMS_PER_BATCH: 16 BASE_LR: 0.01 # Note that RetinaNet uses a different default learning rate STEPS: (600, 800) MAX_ITER: 900 INPUT:

MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)

MIN_SIZE_TRAIN: (40, 60) MIN_SIZE_TEST: 40

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