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Version 1
- 하나의 Multiplier만 이용하여 연산을 진행, Time이 오래 걸림
- 두개의 연산기를 이용하여 Latency를 줄인다.
- 하나의 연산기가 Work하는 동안 다른 연산기에 작업을 시행하는 형태로 데이터 입력 멈추지 않고 연산을 계속 진행할 수 있다는 장점이 있다.
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Version 2
- Kernel size 만큼의 Multiplier를 이용하여 연산을 진행
- 연산 과정의 복잡성을 줄이고 병렬처리를 용이하게 함
- Queue를 이용하여 데이터를 저장
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Python_image_process
- Image를 처리하여 Bram에 Initialize 값인 COE 파일로 변환 (Encoder)
- Testbench에서 나온 결과값을 이미지로 변환 (Decoder)
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