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PaddlePaddle / PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Apache License 2.0
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[Other General Issues] #4589

Closed lixiangMindSpore closed 2 years ago

lixiangMindSpore commented 3 years ago

PaddleDetection team appreciate any suggestion or problem you delivered~

Checklist:

  1. 查找历史相关issue寻求解答/I have searched related issues but cannot get the expected help.
  2. 翻阅FAQ /I have read the FAQ documentation but cannot get the expected help.

描述问题/Describe the bug

A clear and concise description of what the bug is. 请问，coco_cdetection.yml中的data_fields是什么意思？在训练自己的COCO格式的数据集，data_fields这个需要改什么吗？ image

复现/Reproduction

  1. 您使用的命令是？/What command or script did you run?
请填写命令/A placeholder for the command.

  1. 您是否更改过代码或配置文件？您是否理解您所更改的内容？还请您提供所更改的部分代码。/Did you make any modifications on the code or config? Did you understand what you have modified? Please provide the codes that you modified.

  2. 您使用的数据集是？/What dataset did you use?

  3. 请提供您出现的报错信息及相关log。/Please provide the error messages or relevant log information.

环境/Environment

  1. 请提供您使用的Paddle和PaddleDetection的版本号/Please provide the version of Paddle and PaddleDetection you use：

  2. 如您在使用PaddleDetection的同时还在使用其他产品，如PaddleServing、PaddleInference等，请您提供其版本号/ Please provide the version of any other related tools/products used, such as the version of PaddleServing and etc：

  3. 请提供您使用的操作系统信息，如Linux/Windows/MacOS /Please provide the OS information, e.g., Linux：

  4. 请问您使用的Python版本是？/ Please provide the version of Python you used.

  5. 请问您使用的CUDA/cuDNN的版本号是？/ Please provide the version of CUDA/cuDNN you used.

如果您的issue是关于安装或环境，您可以先查询安装文档尝试解决~

If your issue looks like an installation issue / environment issue, please first try to solve it yourself with the instructions in https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.1/docs/tutorials/INSTALL.md

nemonameless commented 3 years ago

https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.3/docs/advanced_tutorials/READER.md

当一个数据集类继承自DetDataSet，那么它只需要实现parse_dataset函数即可。parse_dataset根据数据集设置的数据集根路径dataset_dir，图片文件夹image_dir， 标注文件路径anno_path取出所有的样本，并将其保存在一个列表roidbs中，每一个列表中的元素为一个样本xxx_rec(比如coco_rec或者voc_rec)，用dict表示，dict中包含样本的image, gt_bbox, gt_class等字段。COCO和Pascal-VOC数据集中的xxx_rec的数据结构定义如下：

xxx_rec = { 'im_file': im_fname, # 一张图像的完整路径 'im_id': np.array([img_id]), # 一张图像的ID序号 'h': im_h, # 图像高度 'w': im_w, # 图像宽度 'is_crowd': is_crowd, # 是否是群落对象, 默认为0 (VOC中无此字段) 'gt_class': gt_class, # 标注框标签名称的ID序号 'gt_bbox': gt_bbox, # 标注框坐标(xmin, ymin, xmax, ymax) 'gt_poly': gt_poly, # 分割掩码，此字段只在coco_rec中出现，默认为None 'difficult': difficult # 是否是困难样本，此字段只在voc_rec中出现，默认为0 } xxx_rec中的内容也可以通过DetDataSet的data_fields参数来控制，即可以过滤掉一些不需要的字段，但大多数情况下不需要修改，按照configs/datasets中的默认配置即可。

paddle-bot-old[bot] commented 2 years ago

Since this issue has not been updated for more than three months, it will be closed, if it is not solved or there is a follow-up one, please reopen it at any time and we will continue to follow up. It is recommended to pull and try the latest code first. 由于该问题超过三个月未更新，将会被关闭，若问题未解决或有后续问题，请随时重新打开（建议先拉取最新代码进行尝试），我们会继续跟进。