Inference Interface Update and Compressor Metadata Expansion

🚀 New Features

Inference Interface Update

• Refactored the inference interface for improved clarity and consistency.
• Provides a cleaner experience when running inference across multiple model formats.

Training Result in Compressor Metadata

• Added training_result field to compressor metadata, giving users visibility into pre-compression training performance.

Data Type in Benchmark Results

• Benchmark results now include a data_type field, helping users evaluate performance with clearer context.

🐞 Bug Fixes

• Added scipy to requirements.txt to resolve missing dependency issues in environments using compression or quantization.
• Fixed incorrect return_stage_idx parameter in ResNet-50 backbone configuration.
• Added missing preprocess and postprocess steps for full INT8 pipelines, ensuring accurate inference results.

🧠 Why these matter

• These updates improve usability and output consistency in inference and benchmarking workflows.
• Enhancing metadata structures gives users more insight into pipeline stages and improves integration with downstream tools.
• Fixes to model configuration and INT8 processing ensure correctness and stability in common deployment paths.