MegEngine / MegEngine/Models

改进现有的RetinaNet的量化

Open
#45 0 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
306
Forks
96
PR merge metrics
No merged PRs in 30d

Description

## 背景

1.实现fully量化的RetinaNet
2.将量化检测模型和vision/detection进行合并

## 任务描述

1.现有RetinaNet受MegEngine版本限制仅仅量化了backbone部分,后续需要一个fully量化的RetinaNet
2.检测量化部分code有部分冗余,需要进行合并

## 目标

将quant retinanet统一合入 vision/detection

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by comparing the existing quantized RetinaNet implementation with the vision/detection code, focusing on the current backbone-only quantization and duplicated detection quantization code. Done means RetinaNet is fully quantized and the quantized implementation is unified under vision/detection without the noted redundancy.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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