Comments (5)
Yea I noticed this as well. I had most of the data offline (other than the huge CLEVR_v1.0 folder which you can obtain here).
Here is a link to the data that I had available locally:
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Thank you!
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@atharvas Hi, can you reproduce the results when retraining the model?
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I didn't retrain the model. However, the pretrained model is pretty good as it stands if used with the modules in reason/executor/clevr-executors.py
. I noticed that their model is amazing at picking up shape, color, material, size but its not that great at picking up {x, y, z} coordinates. Here are some observations:
Has the following (formatted) output (gt = ground truth, res = model result):
cy | me | blu : res = < 0.06, 2.04, 0.71> | gt = < 3.00, -3.00, 0.70>
cy | me | red : res = < 1.32, 2.75, 0.92> | gt = < 0.00, -3.00, 0.70>
cy | me | yel : res = < 1.09, 1.51, 0.97> | gt = <-3.00, -3.00, 0.70>
cy | ru | blu : res = < 1.34, 1.01, 0.71> | gt = < 3.00, 0.00, 0.70>
cy | ru | bro : res = < 1.13, -1.36, 0.90> | gt = <-3.00, 3.00, 0.70>
cy | ru | cya : res = < 2.08, 0.21, 0.68> | gt = < 3.00, 3.00, 0.70>
cy | ru | pur : res = < 2.40, -0.13, 0.83> | gt = < 0.00, 3.00, 0.70>
cy | ru | red : res = < 1.76, 1.29, 0.96> | gt = < 0.00, 0.00, 0.70>
cy | ru | yel : res = < 1.77, 0.06, 1.07> | gt = <-3.00, 0.00, 0.70>
Plotting the results on a scatter plot gives the following:
Additionally, the model does not pick up on z value variations (Objects above the plane, or above another object have a nonsensical z value).
TL;DR: Nope. didn't retrain the model.
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@atharvas Thanks a lot!
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Related Issues (17)
- Mask R-CNN - compilation error HOT 4
- ImportError: cannot import name 'numpy_type_map' HOT 1
- Adapting to take an input question and image and return answer
- About the pre-training
- About the GPU
- Error while processing CLEVR questions HOT 3
- failed to reproduce the accuracy
- undefined symbol: cudaLaunchKernel HOT 1
- no attribute 'roi_align_forward_cuda' HOT 1
- CLEVR-Human testing part
- How to Generate Masks from CLEVR? HOT 6
- Object Detection inference is not working HOT 3
- (Object Detection) The size of tensor a (75) must match the size of tensor b (76) at non-singleton dimension 3
- RuntimeError: CUDNN_STATUS_EXECUTION_FAILED HOT 1
- Masks for CLEVR HOT 1
- some questions about symbol inference
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