Comments (2)
Thanks Havan, @pshivraj
My thought is that we should clone the mrcnn module and incorporate it into our clomask
repo. That way, we can easily customize any training/inference class if needed. The mrcnn module only has 5 scripts so it shouldn't bloat our repo that much. We can put all our research code in a research
folder, similar to one of their samples/xxx
folder.
When I interned at Clobotics, they copied the giant Caffe repo and developed their own stuff in parallel folders. At the end of the Capstone, I think they would prefer us passing on a custom mrcnn
module with detailed requirements/installation instructions, without referencing back and forth to matterport
repo.
Let's discuss more.
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Related Issues (15)
- Create initial skeleton for website HOT 1
- Create workflow for labeling images
- Add initial research document for pre-trained model results
- Improve website UI
- Comparison of image resolution on model performance
- Add details with synthetic data generation HOT 1
- Evaluate Rigid Box and Non-Rigid Bags Performance HOT 2
- Generate Synthetic Boxes/Bags Data HOT 5
- Evaluate the effect of image transforms on model performance HOT 3
- DeepLab Segmentation Model HOT 1
- Evaluate performance change in model after training on no mask images.
- Demo.ipynb in the data-synthesizer module is not replicable HOT 1
- Redundancy in the naming structure of synthesized data HOT 4
- clomask_notebook directory is missing the images directory
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