Related Issues (20)
- onnx to OpenVino Conversion
- identify versions
- identify versions
- Now that all calls to _data and _removeData have been replaced
- identify versions
- Now that all calls to _data and _removeData have been replaced
- convert provided onnx model to openvino represnetation
- Add dataloaders to this file
- Experiment with json to binary to deliver the tensor as a list
- Record the results somewhere maybe in a json file or a database or tensorboard
- Average meter for latency inbound and outbound - this should be the time arrived on server minus time sent. and same for response.
- work out accuracy per class
- add model compression sub modules
- integrate distiller library
- model deployment
- model architectures
- Model evaluation
- dataset collecting and evaluating
- add external dependencies
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from nncompression.