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Where are "img0_b", "img1_b", and "flow_gt_b" defined in FlowNet2 model? #12
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I meet the same problem and I guess it myself |
This is actually because when finetuning for small displacements we use a mixture of small and large displacements, which we get from different databases. Therefore there is img0_a and img0_b (later the batches are concatenated). However, I will fix the model so it works with only one dataset. |
@eddy-ilg I am getting the same issue - "ResampleLayer cannot do backward" did you figure it out? |
Hi @eddy-ilg, any word on your fix? |
LayerFactoryTest/0.TestCreateLayer anyone can help me? |
@dakeli are you running a test mode, e.g. |
Hello, |
@shahabty I met the same question. It's because that when I was just running the FlowNet2 model, I typed FlowNet2_train.prototxt.template in the terminal rather than FlowNet2_deploy.prototxt.template. That is my typing mistake. I hope it can help you. |
I'm facing the same issue, any info about this ? |
Same issue here. The final FlowNet2 model still has layers referencing to img0_a, img1_b and flow_gt_b. Furthermore, the two CustomDataLayer at the very top have unconnected top blobs: blob0-2. |
@nikolausmayer |
@TusharNimbhorkar Same error here. Have you solved it? |
same problem. Any updates? |
I have encountered "Unknown bottom blob 'img0_b' (layer 'Concat1', bottom index 1)" error
when training with FlowNet2 model.
The follwing is the part of "train.prototxt" which is originally "FlowNet2_train.prototxt.template".
layer {
name: "Concat1"
type: "Concat"
bottom: "img0_a"
bottom: "img0_b"
top: "img0"
concat_param {
axis: 0
}
}
layer {
name: "Concat2"
type: "Concat"
bottom: "img1_a"
bottom: "img1_b"
top: "img1"
concat_param {
axis: 0
}
}
layer {
name: "Concat3"
type: "Concat"
bottom: "flow_gt_a"
bottom: "flow_gt_b"
top: "flow_gt"
concat_param {
axis: 0
}
}
Thank you in advance.
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