Metadata-Version: 2.4
Name: siliconperception
Version: 0.0.12
Summary: Single chip image encoder models with pretrained weights from HuggingFace
Project-URL: Homepage, https://www.siliconperception.com
Project-URL: Issues, https://github.com/siliconperception/models
Author-email: Rob Liston <rliston@siliconperception.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# IE120R image encoder
- PyTorch model for training
- classification accuracy script using frozen pretrained weights
- pretraining script using knowedge distillation from resnet18
- Verilog code for functional simulation, uses FP32 weights
- Verilog testbench to verify that the Verilog matches PyTorch
- Verilog code for Quartus compilation, uses bfloat18 weights
- Quartus .ip files, .sdc

# DX120P pose decoder
- PyTorch model for training
- Verilog code for Quartus compilation, uses bfloat18 weights
- Quartus .ip files, dummy top.v, top.sdc
- functional verification TBD
- pretraining TBD
- evaluation TBD
