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Are there codes for fine-tuning a new model by my own training data ?
Is it possible to use training data in Japanese (text data) directly ?
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作者好@QY1994-0919:
我基于你的代码快速在 YOLOv5 中试了下,在 MSCOCO val 数据集上性能为 38.6,没有加之前是 37.6,正好涨 1 个点。
我是基于 MMYOLO 进行实验,配置和代码见个人分支: https://github.com/hhaAndroid/mmyolo/tree/bifpn_demo (请忽略分支名,瞎写的)
具体做法是:
…
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您好!
我想问一下,去哪里下载Karpathy划分的MSCOCO测试集的5000张图片呢?
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Hi Scott,
Thank you for sharing your code. I have a different captioning dataset similar to mscoco. It would be great if you can give some hints about how to convert the data to the torch format …
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I'm getting ready to do an evaluation, but how do I get coco_test_karpathy.json?
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hello,
when I run code `python mbyolo_train.py --task train --data ultralytics/cfg/datasets/coco.yaml \
--config ultralytics/cfg/models/v8/mamba-yolo.yaml \
--amp --project ./output_dir/mscoco --…
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Hi,
I have wrote bellow code:
```
%matplotlib inline
import matplotlib.pyplot as plt
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
import numpy as np
import ski…
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Could you share the data split of quora and mscoco? I need them for a fair comparison, Thanks.
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使用本仓库最新的代码RT-DETR训练自己的数据集,mAP一直为0,相同的数据集使用PP-YOLOE+的mAP能到45.7%,查看历史issue有人也遇到了相同的问题,但不知道最后解决的代码版本是?能否提供一下,谢谢!
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There are two scripts that are missing in order for people to properly utilize the dataset:
- [To Appear] Official script to convert gluoncv motion dataset format to MOTChallenge and MSCOCO dataset…