Mesh R-CNN Voxel Head #11
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I am nearly complete with my initial rough implementation of the voxel head. The only thing I have left is the weight and bias initializations in build(). After that, I will start testing following yolo_head_test as an exemplar.
Added support to handle both ShapeNet and Pix3D as well as initialization of layer weight and biases.
See updated questions in voxel_head.py. Mypy is also failing to find the voxel_head module right now and I cannot figure out why. I will try to look into this after finishing up testing.
3 tasks
Since these boolean's will be set at the initialization of the model, it would be cheaper to do this evaluation at graph construction (with 'if-else') time as opposed to at runtime (with 'tf.cond').
Tyan3001
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Nov 30, 2021
* added shell scipt to prepare dataset * fixed path errors * added 1x and 3x experiment configs * fixed formatting
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Description
Implements the voxel prediction head of the voxel branch for the re-implementation of Mesh RCNN in TensorFlow.
Type of change
Closes #5
Tests
Testing is captured in
voxel_head_test.py. The unit tests include:test_network_creation: Verify the output shapes of the voxel head.test_serialize_deserialize: Create a network object that sets all of its config options.test_gradient_pass_though: Ensure the gradients of the layer are not None.test_build_from_config: Test head creation from config and factory function.Checklist
|--> Only warnings are from mypy that it cannot find library stubs/implementation for various modules.